Customer Service Archives — MarTech Series https://martechseries.com/category/sales-marketing/b2b-commerce/customer-service/ Marketing Technology Insights Wed, 01 Oct 2025 13:56:16 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.5 https://martechseries.com/wp-content/uploads/2024/09/cropped-martech_series_logo-1-4-32x32.png Customer Service Archives — MarTech Series https://martechseries.com/category/sales-marketing/b2b-commerce/customer-service/ 32 32 Vocodia Holdings Corp Bolsters Leadership Recruiting Activist Investor Paul Taylor as Chairman and Interim COO, Announces Aggressive Strategic Pivot https://martechseries.com/sales-marketing/customer-experience-management/vocodia-holdings-corp-bolsters-leadership-recruiting-activist-investor-paul-taylor-as-chairman-and-interim-coo-announces-aggressive-strategic-pivot/ Wed, 01 Oct 2025 13:56:16 +0000 https://martechseries.com/?p=387490 Vocodia Holdings Corp, a pioneer in AI-driven customer engagement solutions, announced the unanimous election of Paul Taylor as Chairman of the Board and interim Chief Operating Officer, effective immediately. This pivotal leadership appointment marks a transformative phase for Vocodia as it executes an aggressive strategic pivot to position its Digital Intelligence Sales Agent (DISA) platform for collaboration business. The move aligns with 2025/26 market trends projecting AI-powered, data center service autonomy building to drive a high majority of menial transactions and interactions. The market is predicted to grow to $47 billion by 2030.

Paul Taylor brings over three decades of leadership experience in public company turnaround, austerity measures and dramatic transformation. His expertise in driving strategic realignments and fostering operational efficiencies will guide Vocodia’s transition from a standalone SaaS provider, previously focused on contact center automation, into a high-margin enabler. Taylor’s interim role as COO will ensure hands-on oversight of Vocodia’s operational restructuring, while his chairmanship will steer the company toward merger, acquisitions and long-term shareholder value creation.

Strategic Pivot to Lead AI Ecosystem Integration

Vocodia’s strategic pivot redefines its DISA platform as the foundational “AI plumbing” for collaborative networks, inspired by industry frameworks like the Consortium for Service Innovation, which champions knowledge-powered AI best practices. DISA will now serve as the vocal and textual AI layer for initial customer engagements, handling both menial and critical functions such as greetings, qualification processes, Know Your Customer (KYC) protocols, and intelligent inquiry routing. By integrating seamlessly with our partners’ database tools, DISA enables end-to-end AI-driven support, delivering unparalleled empathetic customer satisfaction and operational efficiency.

This repositioning leverages DISA’s core strengths in cost-effective, agentic AI conversations, positioning Vocodia to capture significant market share in rapidly evolving sectors. The pivot aligns with 2025 trends, including AI-powered agent assistance and dynamic call routing, which are reshaping customer interaction paradigms. Industry analysts project that such network-driven models could yield 3-5x valuation multiples through enhanced scalability, recurring revenue streams, and network effects.

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Financial Discipline and Operational Restructuring

To support this restructuring, Vocodia has implemented immediate austerity measures to streamline operations and strengthen its financial condition. These measures include strict cost optimization for realignment, to prioritize AI developments and partnership integrations. This disciplined approach underscores Vocodia’s commitment to financial stability while pursuing high-growth opportunities in the AI ecosystem.

“Paul Taylor’s appointment as Chairman and interim COO signals a bold new chapter for Vocodia,” said Brian Podolak, CEO of Vocodia Holdings Corp. “As a a no nonsense, disruptive, activist investor renowned for turnaround theatre, transformative growth and innovation, Paul is the ‘grown up’ in the room. His well demonstrated executions, strategic vision and operational deal making will be instrumental in repositioning Vocodia as a component of collaborative AI networks, transforming Vocodia from a disappointment into a high-value asset.”

Paul Taylor is founder and manager of hedge fund RPM One Inc. Recently he advised EdgeMode (OTC: EDGM), Nukkleus (NASDAQ: NUKK), and assisted ongoing pivotal efforts for MGT Capital Investments Inc., (OTC: MGTI), consolidation and special advisor to ConnectM Tech Solutions (OTC: CNTM). He recently founded S4TD LLC and S4TD Ltd with Ex Nukkleus CEO, Jamie Khurshid for strategic European investments that meet its agenda.

Mr. Taylor’s leadership positions Vocodia Holdings for pivotal changes. With a robust, colorful, and storied Wall Street background, he brings deep expertise in financing public companies, strategic vision, and disruptive innovation.

Leadership Vision for Growth

“I am excited to join Vocodia after knowing Brian for several years. This is possibly Vocodia’s most challenging period,” said Paul Taylor, Chairman and interim COO. “By building strategic partnerships and leveraging synergies, the company will deliver innovative, scalable solutions that empower businesses and redefine customer experiences globally.”

Mr. Taylor’s leadership will focus on accelerating DISA’s integration into collaborative networks, forging partnerships and driving operational excellence. His interim COO role will prioritize the execution of strict austerity measures, ensuring Vocodia’s resources are aligned with its strategic objectives. The company anticipates that these efforts will enhance its market positioning, attract high-value partnerships, and generate sustainable revenue growth.

A Future-Ready Vision

Vocodia’s pivot positions it to capitalize on the explosive growth of AI-driven customer service, where seamless, intelligent interactions are becoming the industry standard. By transforming DISA into a scalable, integrative AI solution, Vocodia is poised to command premium valuations and establish itself as a strategic leader in the global AI ecosystem.

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Prokeep Launches its Order Engine, Simplifying Distribution and Unlocking More Orders https://martechseries.com/analytics/customer-data-platforms/prokeep-launches-its-order-engine-simplifying-distribution-and-unlocking-more-orders/ Wed, 17 Sep 2025 07:58:03 +0000 https://martechseries.com/?p=386485 Prokeep has been the market leader in customer communication and engagement for distributors for the past six years. Today, the company builds on that leadership with the launch of its AI-powered Order Engine at the National Association of Wholesaler-Distributors (NAW) Innovators Summit. This connected front-of-house system makes it easier for distributors to take and get more orders. Purpose-built for distribution, Prokeep brings counter staff, inside sales, marketing, and branches onto one platform so teams can serve customers faster, centralize customer data, and drive proactive sales.

The Order Engine adds AI-driven automation and an integrated sales and marketing campaign builder, called Growth Hub, so branches move from reactive order taking to proactive revenue generation. Order Automation performs instant stock checks, builds quotes, and confirms orders, while Growth Hub turns live customer and order data into targeted texts, emails, surveys, and follow-up tasks. Together, they create a flywheel of growth that captures customer orders faster, then automatically uses that data to launch targeted campaigns that generate stronger engagement and ultimately drive more orders.

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“Distributors shouldn’t have to chase information across inboxes and sticky notes,” said Jack Carrere, Co-Founder & CEO of Prokeep. “With the Order Engine, every email, text, or web message connects directly to the customer and order history. That clarity makes it simple for teams to move quickly, keep customers happy, and grow sales from every interaction. AI-powered workflows turn chaos into clarity, bringing structure and speed directly translating into more orders.”

The launch was showcased at NAW in a joint session with ABC Supply Co. Inc., one of the nation’s largest distributors, which partnered with Prokeep to pilot the Order Engine. With branch conversations centralized and order workflows automated, ABC Supply responded faster, took more orders, and protected and grew key relationships through improved accuracy.

“Putting customers first means communicating in the ways they prefer,” said Tony Vaden, EVP and chief information officer at ABC Supply. “Prokeep helps us do that by adding another convenient touchpoint that keeps service moving.”

Prokeep’s Order Engine addresses the realities distributors face today: pressure on margins, rising customer expectations, and the complexity of disconnected systems. Distributors can serve faster, sell smarter, and build stronger customer loyalty by uniting conversations, order history, and proactive outreach in one system, now enhanced with AI order automation.

In addition, Prokeep’s Order Engine links technology contractors already use to run their businesses directly with distributors. This process allows contractors to place orders from one screen with unmatched convenience. Prokeep is also partnering with leading manufacturing brands to deliver campaigns through distribution partners, driving more orders while educating the market on new products and services.

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Reborn Coffee Launches Strategic Review of Regulated Digital Asset Integration in Treasury and Retail Operations https://martechseries.com/content/digi-asset-mgmt/reborn-coffee-launches-strategic-review-of-regulated-digital-asset-integration-in-treasury-and-retail-operations/ Mon, 18 Aug 2025 15:37:40 +0000 https://martechseries.com/?p=383676 Specialty Coffee Chain Sees Potential to Leverage Blockchain Innovation Across Treasury Management, Payments, and Customer Engagement while Advancing Aggressive Global Expansion Plans

Reborn Coffee, a leader in the specialty coffee market,  announced it has initiated a strategic review to assess the potential use of regulated digital asset strategies as part of its broader treasury management framework.

This review aligns with Reborn Coffee’s commitment to sound financial stewardship and capital optimization. While the Company remains dedicated to expanding its global retail footprint and delivering exceptional specialty coffee experiences, management believes it is prudent to explore modern, regulated financial instruments — including blockchain-based assets such as digital currencies like Bitcoin and Ethereum — that could enhance treasury efficiency and diversify non-operating capital reserves.

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“Our mission to deliver the world’s finest coffee experiences remains unchanged,” said Jay Kim, CEO of Reborn Coffee, Inc. “As markets evolve we see opportunities to strengthen our financial foundation through forward-looking, responsible treasury practices. This evaluation is about ensuring our capital strategies keep pace with innovation while protecting shareholder value.”

The company emphasized that this initiative is an exploratory review only. No agreements have been made regarding the acquisition, custody, or use of digital assets. Any future decisions will be subject to Board of Directors approval and will comply fully with U.S. Securities and Exchange Commission (“SEC”) regulations and public company disclosure requirements.

Reborn Coffee, is a California-based specialty coffee retailer focused on delivering high-quality, handcrafted coffee experiences. With a growing global footprint and a dedication to innovation, Reborn is redefining the coffeehouse model through its premium products and technology-forward initiatives.

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Holiday Returns Should Be a Goldmine for Brands https://martechseries.com/mts-insights/guest-authors/holiday-returns-should-be-a-goldmine-for-brands/ Wed, 06 Nov 2024 07:49:22 +0000 https://martechseries.com/?p=367984 The National Retail Federation (NRF) projects winter holiday spending to increase by 2.5% to 3.5% over 2023, reaching between $979.5 billion and $989 billion, compared to $955.6 billion last year. With this surge in sales comes a corresponding rise in returns, which are expected to account for around 18% of total holiday purchases.

Many brands may see these returns as a logistical burden, but they represent a significant opportunity to engage customers and strengthen relationships. By focusing on a smooth, customer-friendly return process, brands can drive future sales and increase customer lifetime value (CLV). Returns can be a pivotal moment for customer engagement when handled thoughtfully, transforming what might seem like a negative interaction into a positive one.

Returns Start Early and Peak in January

While returns are often associated with post-holiday shopping, they typically begin in early November and steadily increase through December, peaking in January. According to data from Optimove Insights, the percentage of returns grows alongside purchases. For example, in January 2022, purchases were 2.2 times higher than the monthly average, while returns were 2.5 times higher.

This yearly trend provides brands with an opportunity to plan accordingly and prepare for the influx of returns. Rather than viewing returns as a hassle, brands should treat them as an important touchpoint for customer retention and relationship-building, especially during the busy holiday season.

Turning Returns into Retention Opportunities

Returns offer a unique opportunity to strengthen customer loyalty. According to Optimove Insights, customers who initiate returns have a retention rate of 26%, compared to just 13% for customers who do not return products. This suggests that customers who go through the return process are more likely to continue shopping with the brand.

This retention effect is not limited to existing customers. The data shows that new customers who return items have nearly the same retention rate as existing customers who do not return products. This highlights the importance of nurturing relationships with new customers who make returns. They are one step closer to becoming loyal, long-term customers.

In fact, existing customers who return items are among the most loyal, with the highest retention rates across all customer segments. For brands, ensuring a positive return experience is key to cultivating these relationships and turning returns into a tool for customer retention.

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The Importance of a Seamless Return Experience

The first step to capitalizing on the opportunity that returns present is creating a seamless return process. If customers find the return experience complicated or frustrating, they are less likely to shop with the brand again. On the other hand, a smooth, hassle-free return process can significantly increase the likelihood of future purchases.

Brands can improve the return process by simplifying return policies, offering free return shipping, and including pre-paid return labels in every package. The easier the process, the more likely customers will return to shop with the brand in the future. Positive return experiences help to build trust, which is a key driver of long-term customer loyalty.

The Power of Free Returns

Research shows that offering free returns has a significant impact on customer behavior. Seventy-eight percent of shoppers say they will buy more from a retailer in the long run if free returns are offered, and 84% of shoppers indicate they will not return to a brand if they have a poor returns experience. Furthermore, 75% of consumers say easy returns are a deciding factor in their choice of retailer, and 78% of consumers say they are more likely to buy from a retailer over time if free returns are provided.

These numbers make it clear that free and simple returns are essential to building long-term customer relationships. They are not just a perk—they are a critical component of a brand’s customer retention and sales strategy. Brands that invest in making returns easy and cost-effective will foster loyalty and increase the likelihood of future engagement with customers.

Sustainability in the Return Process

Sustainability is becoming an important factor in customers’ decision-making process when it comes to returns. According to a recent PwC report on holiday shopping in 2024, 87% of consumers expect retailers to process returns in a sustainable way, and 69% of consumers say they only shop at retailers that offer free returns.

The Optimove Insights Consumer Shopping Intentions report for Holiday 2024 also highlighted the growing consumer preference for environmentally conscious brands. In 2024, 79% of respondents said a brand’s commitment to environmental causes is important to them, up from 61% in 2023. Additionally, 76% of consumers are willing to pay a premium for products from environmentally responsible brands, a significant increase from 57% in 2023.

This data underscores the importance of not just offering free returns but doing so in a sustainable manner. Brands that incorporate sustainability into their return processes can build stronger relationships with customers who prioritize environmentally conscious practices.

Returns Provide Valuable Customer Insights

Returns provide an opportunity for brands to collect valuable customer insights. Marketers should use the return process to gather information about why customers are returning items, their preferences, and how the brand can better meet their needs. This data can be used to refine product offerings and improve the overall customer experience.

Additionally, the return process can be a moment to engage customers with personalized offers, such as recommending alternative products or promoting exclusive deals. By using returns as an opportunity to provide tailored recommendations, brands can turn returns into a meaningful interaction that strengthens the customer relationship.

Conclusion

Returns during the holiday season are not just a logistical necessity—they are an opportunity. Brands that focus on creating a seamless return experience and using the return process to engage customers can turn returns into a goldmine for building long-term customer relationships and increasing lifetime value. Through thoughtful return policies and post-purchase journey orchestration, brands can drive future sales, foster loyalty, and improve customer satisfaction.

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Social Listening And It’s Importance To Your Overall Marketing Content Strategy https://martechseries.com/mts-insights/staff-writers/social-listening-and-its-importance-to-your-overall-marketing-content-strategy/ Wed, 02 Oct 2024 10:31:42 +0000 https://martechseries.com/?p=366497 Which business does not recognize the value of understanding their customers, staying updated on industry developments, and recognizing new trends or being in control when a crisis may arise? Tracking social media channels and looking for red flags is vital today. The best way to track all the good and bad conversations about your brand and even industry is through social listening.

Social listening is now essential in the era of social media, user-generated content, and digital footprints. A plethora of businesses that specialize in listening, evaluating, and offering practical solutions have surfaced in the market. Social listening allows you to evaluate the brand position in the market and act quickly on opportunities as they arise.

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What Is Social Listening?

Social listening is the process of gathering and examining every digital trace associated with a brand, which includes millions of online discussions and publications every day. A wide range of sources, such as blogs, webzines, online press, and social media platforms, are used by these technologies. The days of manually reading through thousands of blogs looking for mentions of your company are long gone.

The days of manually reading through thousands of blogs looking for mentions of your company are long gone. Social listening tools gather information and analyze it so you can make good use of the insights. In practice, this implies that you can use a social listening tool to quickly ascertain whether a possible crisis regarding your most recent product is developing on Twitter or, on the other hand, whether you are becoming more well-known on a relevant industry forum.

This enables you to respond quickly and effectively, whether it’s to avert a crisis or take advantage of favorable trends. The main advantage of these solutions is that they let you listen to your customers and their feedback, enabling you to pinpoint issues, demands, and frustrations in far greater depth than you could with just knowing what a tiny percentage of social media users are saying about your company. It has a significant effect on customer interactions.

Additionally, social listening can be useful for spotting emerging consumption patterns among particular audiences—trends that conventional marketing surveys might overlook. It also gives you more detailed information about your target market, which you can utilize to reposition your products or introduce new products.

It’s a common misconception among marketers that social listening is all about stats, but that’s just half the story. The other half is the reaction to problems identified or particular circumstances. Therefore, a crucial component of social listening is effective communication. This approach goes beyond simple data collection to include data interpretation and response that builds brand equity and improves consumer happiness.

Is Social Listening and Social Monitoring the Same Thing?

The answer is “No” and social listening has a broader scope as compared to social monitoring. Social listening is more about tracking brand mentions, feedback of customers, industry trends and more. However, social monitoring has a narrower focus where the concentration is more on certain type of campaigns and keywords.

The Importance of Social Listening

Not only can social listening improve data collection and insights, it significantly enhances a range of business function in numerous industries:

  • Marketing:

Are you planning to introduce a new service to the 23-to 33-year-old demographic? You can use social listening to determine important demographics about people who are interested in your business or product, like their gender, city, and occupation. This important information aids in customizing and promoting your product in the most efficient manner.

  • Social Media Management

You may tailor your social media postings to your target audience by using social listening to learn more about them and their passions. This degree of comprehension is a treasure when it comes to creating relevant and captivating content that appeals to your audience.

  • Social Media Marketing

Social listening is very helpful in social marketing, which selects, listens to, and helps you engage with prospects on social media. Gaining a thorough understanding of your prospects can help you tailor your approach and make highly targeted sales presentations that speak to their individual requirements and interests.

  • Online Image or Digital Reputation

Social listening allows you to foresee possible negative publicity and take action before it gets out of hand. You may effectively safeguard and manage your digital reputation by taking proactive steps to uncover concerns as soon as they arise, regardless of their source, and avert small setbacks from becoming major emergencies.

  • Client Relationships

Maintaining solid client connections requires being able to recognize issues, requirements, and frustrations. You can obtain significantly more detailed information through social listening than through customer service calls or online reviews. You will be made aware, for instance, if a customer simply complained about your most recent offering on a forum or voiced displeasure with a rival’s product or service. Your ability to react quickly and efficiently thanks to this real-time insight will increase client happiness and loyalty.

Social listening revolutionizes the way businesses function by furnishing profound understandings of their target audience, augmenting marketing approaches, maximizing social media oversight, refining future sales techniques, preserving online repute, and fortifying customer bonds. Businesses may remain ahead of the curve and keep a competitive edge in their sector by utilizing the power of social listening.

Key Components Of  Social Listening

Social listening is crucial to companies who are trying to better understand their customers, maintain a positive reputation, and enhance their range of products and services.

Businesses can obtain important information from monitoring online chats, which they can use to guide their marketing plans, customer support initiatives, and general business decisions.

Key components of social listening:

  • Data Collection

Scope: The first step in social listening is gathering information from a variety of online sources, including blogs, forums, news websites, social media networks (such Facebook, Instagram, LinkedIn, and Twitter), and review websites.

References: Selecting which sources to keep an eye on is essential. Major social networks, forums devoted to a particular industry, rival websites, and any other venues where pertinent discussions might take place fall under this category.

Monitoring in Real Time: Businesses are certain to be abreast of the newest discussions and trends as they emerge thanks to constant, real-time data collection.

  • Analyzing Data:

Sentiment Analysis: Sentiment analysis is the process of evaluating the feelings that participants in online discussions express. Sentiment analysis tools aid firms in gauging public opinion by classifying mentions as neutral, negative, or positive.

Trend Identification: Businesses can spot new trends and interesting subjects in their market by examining the volume and context of mentions.

Keyword Tracking: Businesses can watch online sessions about specific issues by keeping an eye on keywords, hashtags, and phrases related to their brand or sector. This technique is known as keyword tracking.

  • Audience Views

Demographic Information: Knowing the age, gender, location, and interests of the people with whom you are having a conversation.

Audience Interaction: Analyzing audience interactions with content, such as likes, shares, comments, and other engagement measures, is known as behavioral data analysis.

 Influencer Identification: Finding important opinion leaders and influencers who steer industry discussions is known as “influencer identification.”

  • Actionable Insights

 Analyzing competitors: keeping an eye on rivals to learn about their tactics, advantages, and disadvantages.

Crisis management: By identifying possible problems or crises early on, companies can take appropriate action and lessen their negative effects.

Customer feedback: Gathering and evaluating consumer input to enhance goods, services, and overall customer satisfaction.

Boosting Content Strategy with Social Listening Data

Developing a content strategy that genuinely connects with your audience in the digital age needs more than just imagination and instinct. It requires a thorough grasp of the requirements, preferences, and behaviors of your audience in real-time.

These insights can be obtained through social listening, which is a potent tool that gives brands the ability to recognize content trends, produce timely and relevant content, and continuously assess and improve their content strategies. This is how using social listening data into your content strategy can make a big difference.

Finding Popular Topics and Hashtags

Brands can keep an eye on discussions taking place on a variety of social media platforms, blogs, forums, and news websites by utilizing social listening solutions. Your target audience’s interest in trending subjects can be found by monitoring keywords, hashtags, and mentions. You can keep on top of trends and produce interesting and relevant content with the aid of this real-time data.

For instance, you may instantly produce content around a hashtag or term that is trending in your industry to join the conversation with more impact. Social listening technologies can also help you strategically plan your content calendar by demonstrating how these tendencies change over time.

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Case Studies  

  • Oreo’s 2013 Super Bowl tweet:

A blackout occurred in the stadium due to a power outage. With a timely tweet, Oreo quickly jumped on this trend, saying, “You can still dunk in the dark.” This tweet greatly increased Oreo’s social media engagement and was widely praised for being created and posted in real-time.

  • Netflix and #StrangerThings:

Netflix tracks talk about their shows on social media by using social listening. On “Stranger Things,” they observed viewers talking about how nostalgic the show is for the 1980s. Following that, Netflix produced material centered around this concept, such as social media postings, games, and behind-the-scenes glimpses, all of which struck a deep chord with viewers and encouraged more interaction.

  • Developing Timely and Relevant Content with the Help of Social Listening Insights to Generate Resonant Content

Social listening offers insightful information about the issues, concerns, and opinions of your target audience regarding both your business and rivals. Through the analysis of this data, you can produce content that speaks directly to your audience’s interests and problems, increasing its relevance and value.

For example, you can make blog entries, social media material, and videos that showcase your company’s sustainable processes and eco-friendly products if social listening indicates that your audience is talking about sustainability and eco-friendly items.

  • Matching Content Strategy to Pain Points and Interests of the Audience

You can better grasp the particular problems and subjects that are most important to your audience by using social listening. This makes it possible for you to match their interests and problems with your content strategy. For example, you can make how-to manuals, video tutorials, and FAQs to answer issues that customers commonly bring up regarding a specific aspect of your product.

Establishing your brand as a valuable resource and fostering trust with your audience are achieved through regular content creation that fulfills their demands. This encourages enduring loyalty in addition to increasing engagement.

  •  Analysis of Content Performance Using Social Listening Information

With social listening technologies, you can track the performance of your content in real time once it is published. Metrics like shares, likes, comments, and mentions are useful for determining how well your content connects with readers. This information reveals which content kinds work best and which might use some tweaking.

If a certain blog article, for instance, gets a lot of interaction, you can examine what worked about it—the subject, the structure, the distribution method, etc.—and use that information to create similar material in the future. On the other hand, social listening data can assist you in determining why a piece of content is performing poorly and how to modify your approach.

  • Modifying Content Strategy considering Engagement Metrics and Feedback

Through social listening, you may get both direct and indirect audience feedback. You can make well-informed changes to your content strategy by monitoring the conversations surrounding your content and examining engagement numbers. Your content will always be current and adaptable to your audience’s changing demands and tastes thanks to this iterative approach.

For example, you may decide to concentrate more on making videos if social listening indicates that your audience prefers watching videos than reading textual content. In a similar vein, you can modify the format of your material if feedback shows that readers would rather read in-depth instructions than brief articles.

One of the best tools for improving your content strategy is social listening. It is possible to make sure that your content connects with your audience and encourages engagement by recognizing content trends, producing timely and relevant material, and regularly assessing and improving your strategy based on real-time data. Effective use of social listening by brands allows them to stay one step ahead of the competition, forge closer bonds with their target market, and accomplish marketing objectives more quickly.

Enhancing Customer Engagement through Social Listening

Beyond merely listening in on conversations, social listening is a very useful tool. It facilitates proactive customer service, offers in-depth insights into client sentiment, and allows for individualized interactions. All these components work together to improve client engagement, which builds stronger bonds and increased loyalty. Here’s how your consumer interaction efforts can be greatly enhanced by social listening.

 Understanding the emotional reactions of the Audience

An essential part of social listening is sentiment analysis, which enables companies to learn how consumers feel about their brand. Businesses can determine if the attitude is positive, negative, or neutral by examining the tone and context of online conversations. With this knowledge, businesses can pinpoint their strong points and areas for development.

Sentiment Analysis Examples That Influence Engagement Strategies

Product Launches:

A business may choose to increase marketing efforts, disseminate client testimonials, and promote more user-generated content if sentiment analysis indicates favorable feedback regarding a new product launch. On the other hand, if feedback is unfavorable, the business can quickly address issues by providing justifications, apologies, or ways to lessen annoyance.

Brand Campaigns:

Businesses can make real-time adjustments to their tactics by keeping an eye on sentiment during marketing campaigns. For example, when a marketing team receives unfavorable feedback on a social media campaign, they might adjust the messaging or strategy to better suit the expectations and preferences of the audience.

Customizing Customer Communications and Interactions with Social Listening Data

Enhancing consumer engagement through personalization is crucial, and social listening data offers the necessary knowledge to customize interactions. Through a comprehensive grasp of distinct consumer inclinations, actions, and challenges, companies may devise tailored communications and proposals that effectively connect with their target market.

The Significance of Social Listening in Recognizing Influencers and Brand Advocates

Finding brand champions and influencers who actively interact with your business and have a big impact on their followers is made easier with the aid of social listening. Businesses that identify these people can build relationships with them and use their influence to spread brand messaging to a wider audience.

For instance, you can interact with a well-known blogger who consistently promotes your items with individualized messaging, special offers, or joint ventures if social listening reveals this. This improves the relationship while also expanding the reach and credibility of your brand.

Proactive Client Support- Real-time detection of customer issues and questions

The capacity of social listening to instantly identify problems and inquiries from customers is one of its most useful features. Businesses can determine when customers are having issues or are looking for information about their goods or services by keeping an eye on conversations taking place on a variety of platforms.

Strategies for Quickly and Efficiently Addressing Customer Needs

Real-Time Responses:

It’s critical to respond quickly to consumer complaints or inquiries as soon as social listening techniques notify you of them. Resolving problems promptly shows that your company appreciates its clients and is dedicated to offering top-notch support. By doing this, unpleasant encounters can be kept from getting worse and developing into PR disasters.

Proactive Outreach:

Social listening enables companies to spot possible problems before clients get in touch with customer support. To address a prevalent problem, a company can proactively publish thorough explanations, guidelines, or tutorials if several consumers are expressing concerns about a particular product feature.

Engaging Positively:

It goes beyond simply responding to criticism. Reacting to favorable mentions by expressing gratitude to clients or showcasing their work can improve rapport and inspire more positive communication.

Understanding audience sentiment, personalizing discussions, and offering proactive customer support are all part of improving consumer engagement through social listening. Businesses can develop more meaningful and responsive engagement strategies that strengthen their client relationships by utilizing the data gathered from social listening.

Customers feel appreciated and understood when they receive personalized interactions, and effective engagement methods are shaped by an understanding of and response to consumer emotion. Customers are guaranteed to receive the assistance they require at the appropriate moment thanks to proactive customer care, which is bolstered by real-time issue identification and quick answers. Including social listening in your customer interaction plan improves customer experience and encourages advocacy and loyalty, which will lead to long-term business growth.

Effective Crisis Management with Social Listening

In the rapidly evolving digital era, brands need to be equipped to respond to crises with promptness and efficiency. With its ability to provide early detection, real-time response, and post-event analysis, social listening is an essential tool for crisis management. Businesses can avoid damage, rebuild their brand, and handle crises more skillfully by utilizing social listening data. This is how using social listening to your advantage might improve your crisis management.

How Social Listening May Be Used to Spot Possible PR Disasters Earlier

With social listening, brands can keep an eye on discussions happening in real-time on blogs, forums, news sites, and social media platforms. Businesses are able to identify early warning indicators of impending PR disasters because to this ongoing observation. Companies might anticipate a crisis before it materializes by recognizing anomalous spikes in mentions, trends in negative sentiment, or the quick dissemination of false information.

Brands That Have Used Early Detection to Reduce Crises as Examples

 Southwest Airlines:

Using social listening techniques, the airline discovered growing consumer concerns and unfavorable sentiment on social media following a significant technical problem on a flight. Because of the early detection, Southwest was able to considerably lessen the impact of the situation by responding quickly with official announcements, real-time information, and support.

Starbucks:

The company used social listening to keep an eye on the heated online discussions and public opinion during the contentious arrest episode that occurred in one of its locations. Starbucks was able to promptly identify the problem, offer a public apology, and announce corrective measures, which included racial bias training for workers, thanks to this early discovery.

Using social listening data to manage and respond to crises in real-time: Real-Time Crisis Response Strategies

Real-time data from social listening is critical for efficiently managing and handling crises. The following are important strategies:

Instant Recognition:

It’s critical to acknowledge a possible problem as soon as it’s identified. To demonstrate that your company is aware of the issue and is treating it seriously, use social listening data to build a prompt, sympathetic, and open response.

Correct Information Dissemination:

Social listening makes sure that the information you give is correct and takes into account the issues that people are bringing up. This controls the narrative and stops false information from spreading.

Give regular updates as the circumstances change. Make use of the information gleaned from social listening to educate stakeholders of the actions your brand is taking to address the problem.

Effective Stakeholder Communication in Times of Crisis

In times of crisis, communication that works is essential. The following are some recommended procedures:

Transparency: Be forthright about the incident, the actions you are taking to make it right, and the measures you are taking to ensure that it doesn’t happen again. Credibility and trust are increased by transparency.

Empathy: Be understanding and empathetic to people who are impacted by the issue. If need, honestly apologize and acknowledge their concerns.

Consistency: Make sure that all correspondence across various channels is consistent. Utilize social listening to track the reception of your messages and make any modifications.

Analyzing Social Listening Information to Determine a Crisis’s Impact

It’s crucial to fully evaluate the effects of a crisis once one has occurred. You can benefit from social listening tools:

Measure Sentiment Changes: To determine how the crisis affected public opinion, examine changes in sentiment prior to, during, and following the event.

Monitor Dialogue Level: To determine the extent and severity of the problem, keep an eye on the amount of discussions surrounding your brand.

Determine the Important Issues: To identify specific issues or complaints voiced during the crisis, use social listening. This information will help you design a recovery plan.

Adapting Strategies to Rebuild Trust and Brand Reputation After a Crisis

Key concerns: In light of the conclusions drawn from your post-crisis analysis, focus on the particular concerns that were most important at the time of the crisis. This could entail initiating new projects, revising policies, or making adjustments to operations.

Positive Engagement: Restore trust by having positive interactions with your audience. Tell tales of your brand’s improvement and the lessons it learned from the disaster.

Keeping an eye on ongoing sentiment: As you put recovery tactics into practice, keep an eye on sentiment and feedback through social listening. This continuous observation will assist you in making the required corrections and guarantee the efficacy of your endeavors.

Early identification, prompt action, and in-depth post-crisis analysis are all necessary for effective crisis management via social listening. Brands may detect possible crises early, handle them effectively, and recover more robustly by utilizing social listening techniques. An important benefit is that real-time monitoring and analysis of online interactions gives businesses the capacity to stay in charge of the story, respond quickly to issues, and earn back the audience’s trust.

By incorporating social listening into your crisis management strategy, you can minimize harm and build a resilient reputation for your business by being ready to address crises proactively and effectively. You can confidently maneuver through crises and come out stronger if you remain aware of the issues and criticisms raised by your audience.

Tools That Drive Social Listening

Even while it’s not possible for us to read minds directly, social media listening enables us to come very near. You can obtain vital information from social media chats that will help you protect your brand and develop marketing plans. You can keep an eye on and follow conversations on social media about particular companies or subjects by using social listening tools. By analyzing this data, you can find insightful information that can guide your marketing selections.

Nevertheless, the type of tools you employ has a major impact on how useful your insights are. Here are some great social listening tools for brands to take into consideration so you can make the best decision.

Sprout Social

Sprout Social’s social listening tools offer a comprehensive view of conversations relevant to your brand. They enable you to track brand-related discussions across all major social networks and other online sources. By automatically sifting through millions of data points, Sprout Social uncovers insights crucial to your brand’s success.

These tools allow you to learn about audience preferences and gauge their feelings toward specific products, campaigns, or topics. This information helps you stay on top of industry trends and identify untapped business opportunities. Additionally, Sprout Social helps you discover key influencers and thought leaders driving conversations, enabling you to engage with the right people.

Brand-specific conversations provide deeper visibility into customer experiences and overall brand sentiment. Custom alerts can be set up to anticipate potential brand crises, giving you ample time to address issues before they escalate. With integrated social media management tools, you can manage and resolve these issues seamlessly in one place.

Sprout Social offers a 30-day free trial, allowing you to test its publishing and analytics capabilities. The social listening tools are included in a custom-built plan tailored for enterprise users, ensuring you get the most out of your social media strategy.

Brandwatch

Leading social listening and analytics tool Brandwatch was created to give companies comprehensive understanding of online discussions and industry trends. Brandwatch is excellent at gathering information from numerous internet sources. This all-inclusive strategy guarantees that you record any pertinent discussions regarding your company, sector, or rivals. These data are sorted through by the platform’s sophisticated algorithms, which find important patterns and trends that are crucial for strategic planning.

Brandwatch’s powerful sentiment analysis tool is one of its most notable features. The program classifies online mentions as positive, negative, or neutral based on an accurate assessment of their emotion. You may better grasp how the public feels about your brand, merchandise, and advertising campaigns with the use of this analysis.

With Brandwatch’s robust analytics capabilities, you may spot new trends and business prospects in your sector. You can remain ahead of the curve and produce content that is topical and relevant by keeping an eye on trending topics and hashtags.

Managing crises well is essential to preserving a brand’s reputation. By tracking increases in unfavorable sentiment and anomalous activity surrounding your brand, Brandwatch assists you in anticipating potential PR issues before they arise. Real-time notifications that are customizable provide you the opportunity to take immediate action to minimize damage. Investing in brandwatch gives your company the resources it needs to be competitive in the ever-changing digital market.

Brand24

A useful tool for gauging brand awareness and reach is Brand24. It gathers insightful data on consumers by monitoring 25 million internet discussions. This aids in your comprehension of the positive and negative aspects of your brand. Brand sentiment may be measured, and reputational issues can be promptly identified.

BuzzSumo

BuzzSumo is an all-inclusive social listening tool that is highly good at finding and researching content. The platform is made to assist you in keeping tabs on hot subjects and viral material, giving you ideas and insights for your content strategy.

BuzzSumo lets you keep an eye on popular subjects and viral material on multiple social media platforms. Finding out what appeals to your audience and what is trending in your field is made easier with the help of this function. You may produce pertinent content that successfully engages your audience by being aware of the current trends.

BuzzSumo’s extensive monitoring options enable you to keep tabs on mentions and trends pertaining to particular companies, subjects, and keywords. By setting up alerts, you can make sure you keep up with the most recent discussions and are able to react quickly to any new trends or problems. You get alerts through BuzzSumo’s alert system when there are noteworthy changes to your tracked metrics. These alerts assist you in maintaining a proactive social media approach, regardless of the rise in brand mentions or the popularity of a certain phrase.

BuzzSumo’s base subscription begins at $119 per month. One user’s access, eighty searches, and one alert setup are all included in this package. For small firms or independent marketers seeking to improve their content strategy with insightful data from social media trends, it’s a great choice.

Keyhole

Strong social listening tools from Keyhole are available to help you get to know your audience better. Keyhole’s enterprise-grade features give you important insights into your audience’s demographics and areas of interest. Keyhole offers comprehensive insights into the characteristics, habits, and preferences of your audience. Having this knowledge is essential for creating interesting, relevant material that appeals to your audience.

With the platform’s ability to follow particular hashtags and keywords, you can stay on top of pertinent discussions and developing trends. This feature is very helpful for tracking campaigns and seeing how various themes perform over time. Plans for Keyhole, which give access to its extensive social listening features, start at $99 per month. Businesses that want strong social media monitoring and analytics skills might use this entry-level subscription.

By using these tools in your social media strategy, you can improve your audience engagement, trend tracking, and proactive problem-solving.

Examples Of Brands Using Social Listening Effectively

Let’s examine the social listening tactics employed by the aforementioned businesses, providing insight into their methodologies and resources.

Nike:

Nike’s approach to social listening focuses on seeing patterns in the running, footwear, and fitness industries. Nike uses tools like Google Trends, Twitter Analytics, and Facebook Insights to track talks on popular social media networks. This information helps them build products that are in line with customer desires.

JetBlue Airways:

The massive airline uses social listening to improve real-time customer support. JetBlue responds to customer questions quickly via Twitter Direct Messages and other channels, helping with questions about flights and other matters. By constantly interacting with customers on social media, their committed customer care team cultivates a favorable brand image.

Zappos:

In order to interact with customers and obtain information for product development, Zappos uses social listening. Zappos answers questions from customers and offers free shipping on orders over $50. They also offer product recommendations. Since 2003, Tony Hsieh, the founder, has actively responded to customer inquiries and feedback, having seen the potential of social listening early on.

Taco Bell:

Well-known for its social media presence, Taco Bell places a high priority on customer service by actively monitoring social media in real time. Taco Bell interacts with consumers on a variety of channels, quickly responding to criticism and concerns to increase brand loyalty. Taco Bell guarantees a great brand experience on social media by constantly addressing customer feedback.

These businesses are good examples of how social listening can improve consumer engagement and provide valuable insights for business choices. They build strong relationships with their audience by actively engaging with them and monitoring them in real-time, which promotes favorable brand sentiment and brand loyalty. These businesses are excellent examples of how to fully utilize the valuable tactic of social listening as it develops.

The New York Times:

The New York Times, a well-known news source, uses social listening to keep up with breaking news. Their team of data scientists and journalists searches social media for terms and phrases associated with current affairs, allowing them to spot new trends and advancements in real time. The New York Times enhances the journalistic integrity and relevancy of news articles by utilizing social listening techniques to ensure timely and complete coverage.

Amazon.com Inc.

To improve its customer service and product offers, Amazon.com Inc. leverages the power of social listening. Product development and marketing strategies are informed by Amazon’s analysis of customer preferences, habits, and sentiments through data obtained from social media sites. Amazon determines customer demand by keeping an eye on conversations about popular products and pricing patterns. Then, it modifies its inventory in response. By taking a proactive stance, Amazon is able to efficiently address consumer demands and guarantee a flawless purchasing experience for its customers.

Final Thoughts

The significance of social listening in today’s digital environment, where social media platforms act as centers for information sharing and communication, cannot be emphasized. Businesses may improve their approaches to content development, customer engagement, and crisis management by utilizing the priceless information it provides about the behavior, preferences, and attitudes of consumers.

Using social listening data to inform content strategy is one of the main advantages. Businesses can spot content gaps, new themes, and hot topics by keeping an eye on conversations, trends, and subjects related to their brand or sector. With the help of this knowledge, they can produce content that appeals to their target audience and is more timely and relevant, which will increase engagement and interaction.

To increase consumer involvement, social listening is essential. Through proactive social media discussion monitoring, brands can discern prospects for meaningful engagement with their audience. Through social listening, organizations may build stronger relationships with their customers by answering questions from customers, handling complaints and comments, and taking part in pertinent conversations. In addition to enhancing brand loyalty, this proactive strategy aids in establishing credibility and trust with customers.

Furthermore, social listening is a crucial instrument for crisis management that works. News and information circulate quickly on social media in today’s hyperconnected world, so it is critical for brands to keep an eye on potential issues and act quickly to address them. Through proactive social media channel monitoring, brands are able to identify early indicators of a crisis and promptly address them to minimize their effects.

Brands can efficiently handle crises and safeguard their reputation by utilizing social listening to address unfavorable sentiment, correct disinformation, and provide timely updates. it is imperative that organizations incorporate social listening as a fundamental element into their digital marketing efforts.

Through the use of social listening technologies and methodologies, companies may obtain significant insights, enhance client engagement, and adeptly navigate the always changing digital terrain.

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Brevo Adds Industry Leaders to Newly Formed Advisory Board https://martechseries.com/sales-marketing/crm/brevo-adds-industry-leaders-to-newly-formed-advisory-board/ Tue, 18 Jun 2024 13:58:29 +0000 https://martechseries.com/?p=361484 Ajay Awatramani, Channing Ferrer, and Nadine Pichelot to serve as senior advisers to the company and provide strategic guidance, market insights, and network opportunities

Brevo, the leading customer relationship management (CRM) suite, announced its first advisory board, with Ajay Awatramani, Channing Ferrer, and Nadine Pichelot as founding members. This newly formed group of well-connected and deeply respected leaders will advise Brevo’s CEO and executive team as it expands the CRM suite and its marketing capabilities. As strategic advisers, they will provide business perspective and insight to the leadership team to inform and support company progress and success.

“It’s an exciting time for Brevo with the formation of our first advisory board,” said Armand Thiberge, CEO of Brevo. “This group of industry leaders brings valuable perspectives on market trends, emerging technologies, and industry-standard best practices that will serve as a guide for Brevo in our next phase of growth. Their diverse wisdom, experience, and network provide fresh industry insights — including customer preference and competitive landscape — and opportunities to help facilitate new partnerships and collaboration for the company.”

This advisory board will guide Brevo’s global expansion, particularly for US market growth, and provide perspective on technology advancements, marketplace trends, and emerging opportunities to engage new customers and industry leaders.

Marketing Technology News: MarTech Interview with Carlos Aragon, Senior Director, Product Marketing @ Vonage

Founding advisory board members include:

  • Ajay Awatramani, Entrepreneur in Residence (EIR) at Storm Ventures: Awatramani is the former Chief Product Officer at Cornerstone OnDemand with deep experience with go-to-market strategy as an executive, investor and board member. He previously held positions at Oracle, Marketo, and Adobe.
  • Channing Ferrer, Limited Partner at Stage 2 Capital and an active Flare Education board member: Prior to his current role, Ferrer held executive positions at HubSpot and Semrush, in addition to various other senior leadership and advisory positions for tech companies.
  • Nadine Pichelot, Chief Financial Officer at Akeneo: Pichelot has over 40 years of experience in finance and operations at various international companies, holding positions at Apple, Cisco, Dell, and Anaplan. Additionally, she serves as an adviser to the DreamAway and Edilead boards.

Marketing Technology News: Mastering First-Party Data Part 1: 5 Tactics that will take you from zero to hero

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Netlify Announces Adobe Experience Manager Headless Integration https://martechseries.com/mobile/mobile-marketing/e-commerce-and-mobile-commerce/netlify-announces-adobe-experience-manager-headless-integration/ Tue, 18 Jun 2024 07:49:26 +0000 https://martechseries.com/?p=361408 Netlify continues to champion the modern, composable web by enabling AEM users to seamlessly migrate from monolithic to composable structures, delivering increased flexibility and speed.

Netlify, the platform for modern web development, announced a new Adobe Experience Manager integration to ease the transition from legacy web architecture to composable architecture. Now, AEM users will be able to leverage Netlify headless CMS to accelerate business goals, streamline workflows, and reduce the number of touchpoints needed across multi-channel projects.

According to Gartner, by 2026 all the top 20 cloud platform and SaaS providers will offer component marketplaces to enable customers’ composable strategies (Predicts 2023: Composable Applications Accelerate Business Innovation). But, while enterprise organizations recognize the benefits of composable architecture, many find the transition from legacy architecture to composable risky, time-consuming and resource-draining. Further, businesses need to maintain their websites and applications running before, during and after migration to ensure seamless customer experiences.

Marketing Technology News: MarTech Interview with Carlos Aragon, Senior Director, Product Marketing @ Vonage

The AEM integration built by Netlify partner VShift benefits business level decision-makers, developers, marketers, and customers throughout the migration process. The new tool will:

  • Deliver improved speed to market by facilitating publishing pages and content quickly and efficiently
  • Connect to composable tools to improve workflows
  • Ensure improved personalization capacity in components and branding
  • Enable a seamless integration of omnichannel touchpoints

“AEM users have long been needing a tool to migrate legacy monolithic web applications towards composable,” said Matt Biilmann, co-founder and Chief Executive Officer at Netlify. “With the AEM integration, users can go to market and build web front-ends much faster, while connecting tools across workflows to reduce bottlenecks. The end result is high performing digital experiences built in a fast, flexible and painless manner.”

“According to MACH Alliance’s research, 9 out of 10 decision-makers say composable technology will be instrumental to their organization’s success in the next five years,” said Eric Feige, Manager Director of Strategy at VShift. “Adobe is the most widely used digital experience platform (DXP) among very large regulated industry organizations, many marketers and non-IT digital transformation sponsors tell us they struggle with flexibility, speed-to-market and cost. The AEM integrator was created to address these issues and provide a seamless way for everyone to make the move, no matter what they use and who they work with.”

In addition to the AEM Integration, Netlify and its partner ecosystem offer several accelerators to ease the transition from monolithic to composable architecture, offering immediate reductions in development costs and faster time-to-market, all built on leading-edge composable standards.

The GEAR Accelerator by Valtech is tailored for the manufacturing industry focusing on aftermarket commerce via customer portals, enhancing B2B functionalities with Netlify’s secure, adaptable architecture for rapid innovation, aftermarket commerce use cases and related integrated services via customer portals.

The XCentium’s Composable Accelerator offers customizable, performance-focused solutions for the financial services industry, enabling rapid deployment and significant cost savings with pre-built templates, multi-language support and seamless technology integration.

The CAFE Accelerator by Apply Digital helps enterprises accelerate project timelines with a flexible suite of tools and integrations. Ideal for rapid proofs of concept and solution-led projects, CAFE’s collaborative approach ensures internal buy-in and minimizes decision-making fatigue, providing a quick path from sandbox to live deployment, helping clients achieve ROI, meet MVP deadlines, and reduce integration risks.

Marketing Technology News: New Survey from Canva, MMA Global Finds Senior Marketers See Creative Output as a Top Priority, Despite Investment Gaps and Shrinking Talent Pool

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Brightcove Integrates New AWS-Powered Generative AI Solution to Enhance Its Award-Winning Customer Service https://martechseries.com/predictive-ai/ai-platforms-machine-learning/brightcove-integrates-new-aws-powered-generative-ai-solution-to-enhance-its-award-winning-customer-service/ Thu, 02 May 2024 13:41:12 +0000 https://martechseries.com/?p=359129

As a streaming market leader, the video technology provider became an early adopter of Amazon Q, a generative AI–powered assistant, to increase customer support efficiency and quality

Brightcove (NASDAQ: BCOV), the world’s most trusted streaming technology company, today shared it has implemented Amazon Q Business, a new generative AI assistant on Amazon Web Services (AWS). Using its own public documentation, product, and release notes, Brightcove is leveraging the new assistant internally for real-world use cases applicable to the media and entertainment technology sector. Brightcove is tapping into the technology to build a program to equip its global services and customer success team to further bolster its award-winning customer service.

As an early adopter of Amazon Q, Brightcove has launched the “Brightcove Expert Bot,” an AI-powered chatbot embedded into the internal tools, as a new resource for the customer and product support teams. Streamlining its customer support processes enables employees to quickly and effectively find relevant information, solve technical cases, analyze support requests, summarize support tickets, and use those results to help recommend the best solutions to meet their customers’ needs.

“Our customer success team is at the heart of our business. Their unmatched service and unparalleled support have earned them the Support Staff Excellence Certification by TSIA for ten years in a row,” says Deb Richards, EVP of Global Customer Success at Brightcove. “With the new AI expert chatbot resource, we are finding new ways to empower the team to automate timely tasks, find answers faster, and make a difference in the quality of support we provide our global customers.”

Marketing Technology News: unitQ Adds Product Analytics To Its User Feedback Platform For Real-Time Actionable Insights Into What Users Are Doing And Saying

Brightcove’s use of Amazon Q on AWS marks a significant step in the company’s commitment to innovation and increasing efficiency by leveraging artificial intelligence. Brightcove is strategically collaborating with leading experts and organizations known for their dedication and expertise in AI to find new ways to super-serve its global base of media and enterprise customers.

“We view generative AI technology as a game-changer for internal operations and customer-facing workflows. As the technology improves our internal processes, we are developing ways to implement AI across our product portfolio to enhance the Brightcove experience,” says Scott Levine, Chief Product Officer at Brightcove. “AWS has been a great partner in allowing us to test, fine-tune, and launch this technology. They built Amazon Q in an easy way to deploy and manage while prioritizing security to minimize risks.”

“Brightcove and AWS share a commitment to innovating on behalf of customers,” said Matt Garman, senior vice president of Sales, Marketing, and Global Services at AWS. “With Amazon Q, Brightcove is harnessing the power of its data platform and generative AI on AWS to improve customer service and experiences while enabling its teams to work more productively and efficiently.”

Marketing Technology News: MarTech Interview with Frank Paterno, SVP of Marketing at GlobalMeet

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A Guide To Using AI in the Digital Marketing World – Your checklist https://martechseries.com/mts-insights/staff-writers/a-guide-to-using-ai-in-the-digital-marketing-world-your-hecklist/ Tue, 30 Apr 2024 08:44:48 +0000 https://martechseries.com/?p=358896 AI is remodeling the whole digital marketing domain, bringing a wave of change in different segments, namely marketing automation, virtual assistants, content generation, and enhanced user experience.

AI has become one of the most influential tools used in marketing and it will keep shaping the marketing tactics of future generations. AI has shown its usefulness in different domains and is today aiding marketers in performing so many tasks as targeting, personalization, and increasing conversion rates. A great evidence of AI implementation is that artificial bots are redefining the digital marketplace. The use of AI in the digital marketing world is beneficial in several ways and it helps in planning, executing, and optimizing marketing efforts. AI helps to improve marketing performance, efficiency, and cost savings in a company.

So, AI’s integration into digital marketing is not just a trend but it is a transformative force that has reshaped the marketing landscape. As AI technology is evolving, its role in the digital marketing space will be more pronounced and offer businesses impeccable opportunities to improve customer experiences, drive engagement, and achieve remarkable growth. Let’s dig deeper to understand how AI is changing the digital marketing world and as marketers what should be on your checklist to succeed.

AI in The Digital Marketing World 

AI – Artificial Intelligence is the use of machine learning algorithms and programming tools in marketing to automate processes and increase effectiveness in marketing. AI is a powerful tool for digital marketers to increase efficiency levels in many different areas across their campaigns such as targeting, personalization, customer engagement, and conversion rates.

AI marketing is a breakthrough in the adoption of new strategies in marketing, implementing machine learning algorithms to select the most advantageous and productive ways to promote products and services. It consists of tracking data constantly and using the insights to modify and confirm the marketing strategies as time goes on and reach the best result.

AI is being implemented by digital marketers in various areas for increased efficiency and effectiveness. AI chatbots are probably the most popular application of AI in business settings. These interactive chatbots not only give customers information about products or services but also address them in a customized way. Natural language processing (NLP) of these chatbots allows them to understand customer questions, and deliver appropriate responses immediately, which consequently results in a more satisfactory user experience for the clients.

Moreover, AI marketing tools that are available now are doing so much more than traditional marketing tools did in the past. Marketing apps with AI capabilities help marketers to cut time a lot by doing easy and boring tasks which eventually give them more time for strategic projects and creative activities. In line with their insights from machine learning, which can perform complex analyses of huge data volumes and react accordingly, marketers can now employ a data-driven approach and adjust their strategies to fit and resonate with the consumers evolving demands.

In other words, AI as a tool employing AI among marketing experts would give a new perspective for analyzing the data obtained from social media sites and ultimately drive the desired output.

What AI Is And What AI Is Not?

As there are many misconceptions around AI or artificial intelligence it is important to dispel common myths surrounding the technology so one can use it in a more practical way. Here we have highlighted a few examples to clear these misconceptions.

An example of this is AI is not what we watch in Steven Spielberg’s movie, “Artificial Intelligence” (AI). Although it depicts a world that is advanced significantly and some robots seem like human beings, in reality, these are just fantasies and are not true in real life.

Also, AI is not a cover for Skynet as the “Terminator” movie shows. Skynet is a fictional AI system typically played by an evil force that is aimed at the extermination of humans. Although theoretically, AI technology may not be conscious and purpose-driven, it calculates and receives data and images as inputs and does not have the ability for independent action or moral decision-making.

The next example would be how AI and human problem-solving skills are different. Unlike human beings which provide organic problem-solving rooted in biology and cognitive functions, AI uses machine brain operations and pattern recognition. AI algorithms are trained from the data inputs and hence improvements are required for their accuracy which improves over time. However, they cannot contain the same level of knowledge and creativity as humans.

The technology of AI is revolutionary but it doesn’t mean that humans are not needed. To operate AI technology in a skillful way humans are needed and AI technology will not be able to replace the jobs of digital marketing experts in the industry in the current state. AI can help marketers and assist them in enhancing their performance, profitability, and customer experiences it will work in conjunction with human expertise rather than working on their own. Creativity, strategic thinking, and intuition of humans will remain an essential factor when it comes to creating successful marketing strategies that can be complemented by AI-driven insights and automation tools.

Therefore, defining what artificial intelligence (AI) is and what it is not can help dispel myths and establish reasonable expectations regarding the potential of this technology. It emphasizes how crucial it is to approach AI from a balanced standpoint, appreciating both its present limitations and its prospective advantages.

Also catch: Episode 179 Of The SalesStar Podcast: The Impact of Al in Sales and Marketing with Ketan Karkhanis, EVP & GM, Sales Cloud, Salesforce

Benefits Of AI In Digital Marketing:

There are several advantages to integrating AI into your marketing plan, and in the end, these benefits translate into higher productivity, better results, and better client experiences. Let’s explore how using AI to your advantage might transform your marketing campaigns and propel business expansion.

1. Enhanced Efficiency:

Manual marketing effort management, which may be labor-intensive and prone to errors, is a challenge for many firms. Businesses may lower the risk of errors and streamline operations by combining AI with marketing automation. Processes are accelerated by this combination, resulting in quicker uptime and more effective marketing workflows.

2. Enhanced Relevance and Performance:

Customers may become dissatisfied and disengaged from marketing communications that are irrelevant to them. Businesses may anticipate customer preferences and provide individualized content by utilizing marketing automation and artificial intelligence (AI) technologies. Artificial intelligence (AI) algorithms help marketers target the correct audience segments with the most relevant campaigns by evaluating consumer data and behavior. This improves marketing success and customer happiness.

3. Business Growth Capabilities:

AI enables marketers to make use of the enormous amounts of data produced in the current digital environment. Businesses can convert data into meaningful interactions and actionable insights by utilizing AI-driven analytics and automation. This can lead to positive business results and promote growth.

4. Real-Time Data Insights:

Quick access to practical insights is essential for making wise marketing decisions. With the help of AI-powered marketing automation solutions, companies can instantly evaluate enormous volumes of data, automatically enhancing user experiences and adding value. Marketers can use AI to transform data into strategic insights that drive innovation and growth.

5. Enhanced Customer Value and Loyalty:

AI makes it possible for marketers to quickly and accurately customize interactions by enabling hyper-personalized messages and experiences. Businesses can increase customer loyalty and advocacy by establishing genuine connections with their consumers through the use of AI-driven customization.

6. AI marketing platforms for optimization:

AI marketing solutions use artificial intelligence to automate tasks and develop conclusions based on data. With the use of these platforms, companies can better predict consumer behavior and tailor their marketing tactics to achieve higher campaign effectiveness and return on investment.

7. Developing Better Customer Relationships:

Businesses may provide customers with tailored, targeted experiences that are memorable when they use AI-powered marketing methods. Strengthening client relationships and establishing long-term partnerships can be achieved by organizations through the recognition of individual preferences and the delivery of appropriate information.

There are several benefits of using AI in your marketing plan, ranging from improved customer experiences and loyalty to higher performance and efficiency. In today’s ever-changing digital marketplace, embrace AI-powered marketing methods to stay ahead of the competition and spur growth.

AI Digital Marketing Tools

AI marketing tools help marketers to perform their tasks quickly and get good outcomes. There are different types of tools for various purposes given below:

1. AI chatbots and digital assistants

One of the dominant uses of AI that is most common in digital marketing is chatbots and assistants during customer service. Particularly when it comes to answering routine, fast-paced questions, chatbots excel, but people are better at tasks requiring thoughtful consideration and when a precise response is required.

AI marketers are blazing the trail of the future, with these marketing bots having a leading role to play. Nowadays digital marketing stands at a very high level above all information technology aspects, where it turned out as the base of marketing. Traditionally, marketing had been the only way for companies to connect with customers. However, with social media in the mix, the dynamics of the consumer relationship have fundamentally changed, allowing businesses to invent marketing strategies to reach customers through various social platforms.

Digital assistants that are powered by AI have improved customer service experiences. It offers instant response to customer queries and assists them in finding the desired information online. Using an AI-driven digital marketing strategy has become a need in today’s fast-paced technological world as it encompasses advanced features. AI chatbots are one of the best solutions to streamline customer interactions through digital interfaces and automated online stores, augmented reality visualization, and more.

Moreover, many companies are leveraging AI marketing bots to automate lead generation and customer engagement processes. When companies deploy AI-powered solutions it helps them optimize their operations and focus on core competencies like pattern recognition, and data analysis also the need to perform repetitive tasks is eliminated because AI-driven automation does it all.

2. Artificial Intelligence for Data Analysis

Data analytics is another highly beneficial method that artificial intelligence is being integrated into marketing products. Massive volumes of data may be analyzed by AI, which can also extract insights from the data and synthesize the results.

Though there are many applications for this, sentiment analysis is one that is quite beneficial. AI is able to sift through enormous data sets to comprehend user opinions on a variety of internet sites. Marketers can gain a deeper understanding of their target consumers’ interests, changing market trends, and current brand sentiments with their assistance.

Marketers may monitor the behavior of their target audience and make proactive adjustments to remain relevant by utilizing AI sentiment analysis tools.

3. AI for Personalization

The ability of AI marketing technologies to help marketers create customized content for every consumer is one of their most notable uses. The advantages of this are enormous since clients now want customization at every stage of the purchasing process.

Customers want brands “to know them no matter where brands interact with them,” according to a McKinsey & Co. poll on personalization.

This is where marketers may benefit greatly from content customization marketing platforms that make use of AI. These tools allow you to customize which buyer persona receives which material. Utilizing intent data, content personalization technologies examine a customer’s profile. Based on what most closely matches their requirements or preferences, they predictively modify the content that is presented to them.

Companies are spending more and more money on AI-powered solutions to improve marketing, expedite processes, and obtain a competitive advantage. These solutions meet a variety of marketing objectives in many industries by providing a range of features such as data analysis, targeted offers, and customer assistance. There is an AI marketing solution accessible to address unique needs, whether it be email copywriting or marketing automation.

After briefly going over some of the advantages of AI marketing tools, let’s dive right into the ones we think are best!

a) Sprout Social

Sprout Social makes it easier for teams to work together seamlessly and gives companies the tools they need to interact with customers on social media. The platform provides a range of AI-driven solutions that are intended to optimize marketing operations, encompassing social media administration, customer support, digital marketing, and competition analysis. Marketers may gain important insights, expedite decision-making, and improve workflows for increased productivity and efficiency by utilizing Sprout’s AI and automation capabilities.

b) Keyword Insights

A potent SEO tool with a sophisticated AI writing helper that’s meant to make the process of finding, creating, and optimizing content easier. Gain the added benefit of dynamic responses to a variety of writing requests with the help of an interactive AI chat helper. Require more information about cod liver oil or a creative introduction? Request, and you will be granted.

c) Jasper:

A generative AI-powered content production platform that provides templates for creating marketing material for a range of media. You can select from 11,000 fonts, 2,500 categories, and 25 languages. Its user-friendly interface also facilitates rapid word production. For even more features, purchase one of Jasper’s Creator, Team, or Business plans, or try it out for free.

d) Lexica Art

One of the greatest AI image generators one can ever see is Lexica Art. You can develop marketing content for about anything with it, and it produces some of the most realistic AI photos. You can create blog thumbnail photos for your SEO (search engine optimization) clients using this generative AI-powered tool. You can utilize and save many prompts to ensure that every image the tool creates is “on brand” and adheres to your brand rules. Even some brands utilize it for their posts on social media.

e) Writer:

A writer’s assistant created specifically for marketing teams, offering advice on grammar and clarity, upholding the brand voice of the business, and promoting productive cooperation on content production. It lets you create your own database of accepted business jargon while upholding the tone of voice of your organization. Use Writer for free, or upgrade to a Team or Enterprise account for more features.

f) Surfer SEO:

An all-in-one SEO tool that examines keywords, analyzes search term SERPs and makes recommendations for content optimization to raise search engine ranks. It provides recommendations for search engine optimization (SEO) of your content by analyzing keywords and other ranking criteria. It also provides tools for keyword research and an outline generator so you can start writing SEO content right away. For small teams, agencies, or businesses, Surfer provides Essential, Advanced, Max, and Enterprise plans.

Marketing Technology News: Cookie-Free Advertising: 3 Targeting Options For Modern Marketers

Does AI Help In Building Customer Relationships?

Artificial Intelligence models examples of human cognitive processes to deliver customized In the digital marketing world, customer relationships are very important and to develop these relationships on a scale and efficiency is achievable by a machine. AI learns to do things in a human-like manner understanding the experience of the customers and gathering all the information regarding the customer journey. Later, machine learning comes into play to understand the patterns and automate some processes which helps in building good customer relationships.

AI receives the data as input, comprehends the information, and then retains it. The more data AI accumulates, the faster it can be used to satisfy the desires of a segment’s audience. It is never out of reach and works rather flawlessly irrespective of the time. With continuing advances in technology development, it gives a more and more complex function coverage. The invention of artificial intelligence is a contributor to the fact that it is one of the key marketing tools.

AI Marketing strategies provide the possibility to automatically manage marketing processes in various channels and it is a great assistant that performs repetitive jobs. It functions as a facilitating tool to serve as the key element for guiding the customers. Furthermore, you as well as your team can always fall back on simple tasks to boost your productivity levels and tackle other challenging work such as creating distinctive content or perfecting your marketing plan.

AI helps in building and strengthening customer relationships in the following ways:

Customer Data Analysis

AI can drastically help to improve the ability to provide excellent customer service and SEO by creating a positive customer experience. Also, it can make customer support service better by helping improve the quality and quantity of the resources used as well as the employees’ efficiency.

Understanding customer needs, while crucial in marketing, is essential as the main goal of the business is to create value for both the user and the business. Artificial intelligence (AI) has paved the way for communications with customers through data that customers have shared, which is now used in marketing strategies to improve the effectiveness of communication. For example, if you think of using an AI marketing platform, and are skillful at finding patterns within customer data, enabling businesses to custom communicate and engage with a relevant audience, will help you discover your customer’s needs precisely and in real-time.

Recognizing Customer Requirements

Today clients require commodity goods to match quality and have a low price. Therefore, you should immerse yourself in your potential customer’s world and find out what their problems are. However, the positive point is that machine learning and deep learning, in turn, can collect useful information from corporate data. AI marketing gives marketing experts tools for trained application of computers in the process of getting to know customers’ needs and preferences.

Engaging Them in Interactive Sessions

Our times are fast-paced. In order to maintain consumer interest and engagement, marketers always need to devise new strategies. They require ongoing consumer participation, input, and most importantly, responsiveness. To keep ahead of the competition is essential, as millions of companies compete for the same attention. AI-powered customer engagement systems are the wave of the future.

Developing Unique Content

Content making is a key strategy of successful marketing, but a question always goes up: how much content and what quality of it? AI content generators solve this problem by providing solutions. Through the application of the data artificial intelligence programs give, businesses can curate that content and add more depth to their content strategy. AI will be the tool that experts can address the requirement of click-through rates from organic search traffic and social media sites efficiently either supplementing existing content or creating new ones.

Speech recognition and Virtual Assistants

Virtual voice assistants like Siri, Google Assistant, and Alexa are all around us nowadays. Meanwhile, machines are designed to be more and more human-like through better technology. Customers have felt more comfortable with such AI in recent years. For example, there was a famous video on Google Assistant about making a dinner reservation. It shows a person booking a dinner reservation using a virtual assistant, like a voice-activated AI.

The person in the video starts the conversation by turning on the virtual assistant, which might be a smartphone or smart speaker. Next, they use natural language to interact with the virtual assistant and give it instructions to book a reservation at a certain restaurant for a given day and time.

As the virtual assistant evaluates the request, it retrieves relevant information, including the user’s preferences and the restaurant’s availability. Overall, the video emphasizes how easy and effective is to use virtual assistants to do routine activities like scheduling supper by utilizing artificial intelligence and natural language processing skills.

Now is amazon at the front of the queue in the voice-based shopping industry, and other businesses are ready to build trust and individual character with their consumers. AI has been employed to support the customization of consumer products. It lets you know the consumers and their decision-making criteria. This enables the marketers to give their clients material that will have of great impact on them.

AI has become a part of life, not a strange concept anymore. The particular brand has been here for years. While AI in marketing is still in its infancy, AI has successfully fitted in the niche market more smoothly than any other AI application.

Also catch: Episode 184 Of The SalesStar Podcast: Al and Its Influence on Marketing: with Adri Gil Miner, CMO of Iterable

 

Exploring Applications in AI and Digital Marketing – Netflix Case Study

The horizontal span of the influence of AI reaches across the diverse digital channels assisting the businesses in unbeatable brand and customer experience boost. AI systematizes social media campaigns, automates redundant operations, and brings perfection to the digital marketing arena through advanced schedulers, digital advertising, and more.

On the other hand, the adaptability of AI goes beyond industry boundaries and leaves a notable footprint whenever implemented. For another kind, we can point out companies like Amazon which make use of AI in the form of contextual product suggestions that take into account a user’s browsing as well as purchase history. This revolutionary way of selling makes shopping an unforgettable activity and (simultaneously) creates engaging and loyal brands for millions worldwide.

The same technology is also utilized for the financial sector; a chatbot that is AI-powered replacing traditional customer service in digital banking. Chatbots facilitate this by offering instant help and addressing customer questions in real time. To extend ease of access and engagement, such chatbots enable smooth interactions, which are enjoyable for users.

Netflix as well as its groundbreaking engagement with AI is one of many illustrations of AI as a transformative technology. Netflix, using its advanced recommendation system, gathers user information about viewing, sequences, and preferences making suggestions based on such analysis. The purpose of the personalized approach is both to keep users satisfied and make them loyal to the service. It eventually leads to increasing their activity and engagement.

These cases depict how AI unleashes the endless potential it can bring for modern marketing practices. Through the adoption of new AI technologies, organizations can leverage them to initiate growth as well as promote efficiency at the operation level, and build genuine connections with their customers in the digital era economy.

Pros And Cons Of Using AI In Digital Marketing

Artificial intelligence (AI) has several benefits and drawbacks when it comes to digital marketing. Let’s examine the benefits and drawbacks of using AI in your digital marketing plans.

Pros:

  1. Enhanced Efficiency: By streamlining repetitive procedures, AI-driven automation frees up marketers’ time to concentrate on high-value initiatives. Faster campaign execution and higher productivity are the results of this.
  2. Enhanced Personalization: Artificial intelligence systems examine enormous volumes of consumer data to provide customized experiences, like customized suggestions and focused adverts. Customer involvement and satisfaction are increased as a result.
  3. Real-Time Data Insights: AI-powered analytics offer real-time data insights, empowering marketers to adjust campaigns and make wise decisions in real-time. Businesses can remain competitive in ever-changing marketplaces because of this agility.
  4. Cost Savings: AI automation saves businesses money by reducing the demand for manual labor and resources. Better return on marketing investments is another benefit of AI-driven targeting and optimization.
  5. Predictive analytics: Using past data, AI systems can predict future trends and customer behavior. This gives marketers the ability to foresee changes in the market and proactively modify their tactics.

Cons:

  1. Initial Investment: A substantial upfront investment in infrastructure, software, and training is necessary for the implementation of AI technology. It could be difficult for small enterprises to pay these expenses.
  2. Data security and privacy: These issues are brought up by the fact that artificial intelligence (AI) depends on enormous volumes of data to work efficiently. Marketers who care about protecting consumer data must make sure that laws like GDPR are followed.
  3. Dependency on Technology: Using AI technologies excessively can result in a lack of human control and innovative marketing strategy development. In order to keep their campaigns seeming authentic, marketers should find a happy medium between automation and human interaction.
  4. Algorithm Bias: Artificial intelligence algorithms can produce biased and discriminating findings due to biases in the data they examine. In order to minimize prejudice and guarantee equity, marketers need to continuously monitor and modify algorithms.
  5. Absence of Emotional Intelligence: Although AI is very good at automation and data processing, it is not as emotionally intelligent as humans. Customer relationships and brand perception may suffer as a result of impersonal encounters and poor communication.

Marketers may use AI to power successful digital marketing initiatives while minimizing risks by carefully analyzing the pros and cons.

Ways To Use AI In Your Digital Marketing Plan: Practical Strategies

Artificial intelligence technologies in digital marketing strategies have not only become popular but have also taken a huge leap, especially in the last few years. As AI technologies are becoming more affordable and easy to use, companies integrate them to optimize their marketing strategies across different channels. AI brings decent benefits from content creation to customer service and data analytics thus providing various practical strategies whenever marketers want to perfect their digital plans or get measurable results.

The Digital Marketing Institute’s latest survey showed a dramatic change in the use of AI technologies. At least 50% of the participants noted that the application of AI in their everyday roles was significant, which marked a blink of an eye in the new digital marketing practices. Significantly, 44% of respondents adopted AI in their processes, which indicates the role of AI in the current marketing activities. So, now let’s see how marketers can integrate AI in their digital marketing plan. Here are some practical strategies to implement:

1. Content Creation:

In today’s ever-changing marketing environment, producing compelling content quickly for a variety of platforms is a crucial responsibility for marketers. AI-driven content generation technologies such as ChatGPT and Jasper are excellent at producing a wide range of content, such as blog posts, landing pages, ad copy, and email subject lines. By using AI writing prompts, marketers may customize content to the tastes of their target audience, increasing engagement and personalization. Before distributing created content, it is crucial to carefully check that it embodies the brand’s voice and personality.

2. Customer Service and Support:

By customizing content and messaging to each individual user’s preferences, anticipating their needs in advance, expediting the purchase process, and effectively forwarding questions or concerns to the relevant department or agent, AI-driven chatbots significantly improve the overall customer experience. SEMRush reports that 48% of marketing executives believe AI is bringing about the biggest change in the way consumers engage with their companies, underscoring the crucial role AI has played in forming contemporary customer service paradigms.

3. Customer Segmentation:

AI provides a solution by grouping prospects and customers according to common needs, interests, or behaviors by using sophisticated algorithms. Businesses may effectively segment their audience and create messaging that appeals to each group by using this automated strategy. Furthermore, if client preferences change, AI makes it easier to adapt and adjust these personalized messages in real-time.

4. Search engine optimization (SEO):

Artificial intelligence has a lot of potential in this field. By examining user activity patterns, AI makes automated and improved keyword research and content optimization possible. Artificial Intelligence is becoming increasingly important in content optimization for voice and visual search modalities.

5. Pay-Per-Click (PPC) Advertising:

AI technologies have transformed PPC advertising by improving the efficacy, efficiency, and personalization of campaigns. Marketers may optimize several PPC campaign elements, such as audience targeting, bid management, ad composition, and keyword selection, by utilizing AI algorithms. Furthermore, advertisers can quickly adjust to changes in market conditions and user preferences thanks to AI-driven PPC platforms’ advanced features like dynamic ad production, predictive analytics, and automated bid adjustments.

6. Using AI for Data Analytics:

AI is a game-changer in the field of data analytics, enabling marketers to quickly manage massive amounts of data and extract meaningful insights. Large datasets can be processed quickly by AI systems, which helps marketers get insightful data and trends from a variety of sources. Marketers may foresee changes in the industry, spot new possibilities, and proactively adjust their strategy to suit changing customer demands by utilizing predictive analytics algorithms.

All things considered, the use of AI technology in digital marketing provides marketers with a plethora of useful tactics to maximize their campaigns, improve client experiences, and produce measurable business outcomes. Marketers may achieve unprecedented levels of efficiency, efficacy, and personalization in their digital marketing initiatives by utilizing AI tools and algorithms. This will eventually spur growth and success in the cutthroat environment of today.

Top Companies Using AI Digital Marketing Strategy To Get Inspired With Your Own Digital Marketing Strategies

Artificial Intelligence has become the cornerstone of modern digital marketing strategies and it has revolutionized businesses and brands in commendable ways. It has changed the way how brands interact with the audience and offer personalized experiences to drive results. From content creation to customer segmentation and predictive analytics AI has helped businesses to stay ahead of the curve. So, let’s explore the top 5 companies that have embraced AI in creating compelling digital marketing strategies and serve as inspiration for those businesses looking to harness the power of AI in their marketing endeavors.

Coca Cola

One of the biggest beverage companies in the world, Coca-Cola, has embraced AI to improve its digital marketing campaigns and establish fresh connections with customers. The business interacts with consumers on social media platforms by using chatbots and virtual assistants driven by AI to make tailored suggestions, respond to questions, and expedite purchases.

Coca-Cola’s AI-powered content production tools were used for examining social media trends and user-generated material to provide insights for marketing campaigns, produce creative assets, and refine messaging for optimal impact. Coca-Cola also uses AI for social listening and sentiment analysis to learn more about the preferences, attitudes, and actions of its customers. This information is used to guide strategic marketing choices and strengthen customer loyalty.

Amazon

One of the biggest e-commerce companies in the world, Amazon has improved its digital marketing efforts by utilizing AI significantly. The company’s AI-powered recommendation engine examines a user’s past purchases and browsing behavior to provide tailored product recommendations to users. Amazon increases engagement, boosts revenue, and cultivates consumer loyalty by customizing product recommendations based on user preferences and behavior. To further ensure flawless customer experiences and operational efficiency, Amazon uses AI-driven predictive analytics to enhance pricing, inventory management, and supply chain operations.

Starbucks

With remarkable results, this massive chain of coffee shops uses AI technology to boost consumer engagement and improve participation in its rewards programs. Deep Brew, the company’s AI and machine-learning technology, is a key component that improves Starbucks’ digital marketing efforts. The Deep Brew system uses advanced algorithms to provide members of loyalty programs and users of mobile apps with customized product recommendations.

Starbucks customizes its recommendations based on user data, such as location and historical purchase history, in conjunction with weather forecasting tools to accurately reflect local weather conditions and personal preferences. For example, on chilly, cloudy days, clients might be recommended hot, sweet drinks; on scorching heat waves, lighter, fruitier options might be recommended.

Deep Brew, Starbucks’ well-executed use of AI technology, has increased sales, improved consumer pleasure, and strengthened overall brand loyalty. Starbucks has reaffirmed its leadership in utilizing cutting-edge technology to propel success in the digital era by using AI to give tailored experiences and recommendations.

Your Checklist to Succeed with AI in Digital Marketing

Artificial intelligence (AI) has become a potent tool for marketers looking to improve efficiency, customize experiences, and achieve better outcomes as the digital world continues to change. Using AI in digital marketing requires a systematic strategy to be effective. The important actions listed in this checklist will help you use AI successfully in your digital marketing initiatives.

  1. Establish Your Goals: Clearly identify your marketing goals before implementing AI. Having clear goals will direct your AI strategy, whether it’s raising conversions, boosting ROI, or improving customer engagement.
  2. Evaluate Your Data Infrastructure: A lot of data is required for AI. Make sure your data infrastructure is capable of supporting AI projects by evaluating it. This covers cross-platform interoperability, data integrity, and accessibility.
  3. Choosing the Correct AI Tools: Make sure the AI tools you choose are compatible with your data infrastructure and goals. Select tools based on your unique requirements and skill set, whether it’s machine learning methods, natural language processing, or predictive analytics.
  4. Educate Your staff: Make sure your marketing staff is well-versed in using AI tools by giving them thorough training. Invest in seminars and upskilling programs to enable your workforce to fully utilize AI capabilities.
  5. Put Personalization Strategies Into Practice: AI analyzes consumer data and behavior patterns to provide hyper-personalized marketing experiences. To improve customer engagement and increase conversions, use dynamic content, tailored messaging, and product recommendations.
  6. Optimize efforts with AI Insights: Make real-time improvements to your marketing efforts by leveraging AI-generated insights. To optimize campaign performance, use predictive analytics to spot trends, predict consumer behavior, and make data-driven choices.
  7. Iterate and Test: AI-driven strategy must be continuously refined through iteration and testing. To find out what works best for your audience, try a variety of AI algorithms, messaging modifications, and targeting factors.
  8. Track Performance Metrics: Track important performance indicators to determine how well your AI projects are working. Keep an eye on KPIs like ROI, conversion rates, and engagement rates to gauge how AI is affecting your digital marketing campaigns.
  9. Keep Up with AI Trends: AI is a field that is always changing. Keep abreast of the most recent developments in AI-driven digital marketing trends, technologies, and best practices. To stay ahead of the curve, never stop experimenting with new AI tools and methods.
  10. Adapt and Change: AI and digital marketing are both dynamic fields. As customer tastes and industry trends shift, be ready to modify and advance your AI strategy. Adopt a flexible mindset and keep improving your strategy to maintain your edge.

Careful preparation, execution, and optimization are necessary for using AI in your digital marketing approach successfully. You may use AI to boost productivity, promote personalization, and improve the outcomes of your digital marketing campaigns by using this checklist. When used properly, AI can revolutionize your marketing efforts, helping you to stay one step ahead of the competition and provide your clients with outstanding experiences.

Navigating Challenges and Maximizing Benefits: AI Adoption in Digital Marketing

Adopting AI in marketing initiatives requires overcoming challenges and addressing ethical issues. Let’s examine typical problems, myths, and approaches for optimizing artificial intelligence in digital marketing.

a) Typical Obstacles and Fallacies:

  • Complexity: Due to AI’s technical nature, many marketers believe that adopting it will be difficult and unaffordable. This false belief frequently causes people to be reluctant to investigate AI-powered solutions.
  • Cost: One such difficulty is the false belief that implementing AI calls for a large financial outlay. Even while there could be upfront fees, they are frequently outweighed in the long run.
  • Resistance to Change: Organizational resistance to change may impede the adoption of AI. Workers might not have the requisite abilities to adjust to AI-driven processes, or they might fear losing their jobs.

b) Taking Ethical Considerations and Data Privacy into Account:

  • Data Privacy: Because AI uses a lot of data, security and privacy issues are brought up. Marketers need to prioritize data protection protocols and adhere to pertinent laws like the CCPA and GDPR.
  • Ethical Data Use: It is crucial to use client data in an ethical manner. To gain consumers’ trust, marketers must guarantee fairness, permission, and transparency in the gathering, processing, and use of consumer data.
  • Bias Mitigation: Unfair results may result from AI algorithms that reinforce biases found in training data. This problem can be addressed and fair AI-driven decision-making is ensured by putting bias detection and mitigation strategies into practice.

c) Mitigate risks and maximize benefits

Although AI can completely transform digital marketing, there are obstacles and ethical issues to be addressed before it is widely used. Businesses can overcome challenges and optimize the advantages of AI in their marketing initiatives by addressing prevalent misconceptions, emphasizing data privacy and ethics, and putting strategic ideas into practice.

Invest in training programs to provide staff with the skills and knowledge they need to use AI successfully to minimize risk and maximize advantages. This entails being aware of data literacy, ethical issues, and the foundations of AI. Moreover, you must begin small and expand gradually. Start small-scale or pilot studies to test the viability of AI adoption and show return on investment. Gradually expand the use of AI in marketing initiatives as confidence and skills increase.

Work together with data scientists, AI specialists, and outside consultants to successfully traverse challenging technical issues and make sure deployment is effective. Make use of their experience to develop and implement AI-powered initiatives successfully. Additionally, keep an eye on AI’s performance and assess how it affects business outcomes and marketing data. Adapt tactics as necessary to maximize outcomes and handle new Challenges.

Lastly,  Create an environment that values experimentation and innovation. Urge team members to exchange ideas, look into new AI-driven solutions, and work together to maximize marketing initiatives.

Marketing Technology News: MarTech Interview with Shirli Zelcer, Chief Data & Technology Officer @ Merkle (a dentsu company)

Final Thoughts:

When examining the history of AI in marketing we can see how an essential transition is taking place which will change the way businesses connect with their audience. AI has completely transformed marketing strategies, facilitating organizations with an opportunity to employ intelligence-led insights, individualized user experience, and, finally, commendable campaigns.

The influence of AI on the progression of business is remarkable. AI-empowered technologies enable businesses not only to uncover new growth paths but also to accelerate sales and make a head start in the challenging context of some of today’s markets. The use of artificial intelligence tools such as predictive analytics, recommendation engines, and many others, enable marketers to connect with their audience in a more personal way, resulting in stronger loyalty and eventual success for their business.

In the future, AI-driven technologies will have to be included in the day-to-day operations of businesses. They must abreast themselves with the most recent trends in Web marketing. Organizations have the possibility to adapt through the use of AI-harnessing tools and strategies which include being able to keep in pace with consumer patterns, deal with market trends, and leverage emergent opportunities.

The use of AI in marketing affects businesses of different sizes at different levels, from startups to multinational corporations, because of its transformative potential which leads to outperforming the competition and growing exponentially.

Lastly, the AI evolution in marketing can be seen as a turning point in a marketing approach that makes businesses focus on customers more and further grow. AI technology is a must, and marketers or companies need to stay informed about every new innovation in digital marketing to remain ahead of the competition. Through AI we will find a way to generate innovation, spark business growth, and leave our mark in the world of marketing.

The primary author of this article is staff writer, Sakshi John

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MarTech Interview with Baruch Toledano, Vice President and GM of Digital Marketing Solutions @ Similarweb https://martechseries.com/mts-insights/interviews/martech-interview-with-baruch-toledano-vice-president-and-gm-of-digital-marketing-solutions-at-similarweb/ Tue, 30 Apr 2024 07:58:57 +0000 https://martechseries.com/?p=358885
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Baruch Toledano, Vice President and GM of Digital Marketing Solutions at Similarweb chats about the state of martech and SEO in this MarTech Series Interview:

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Welcome to this MarTech Series chat, Baruch: tell us about yourself and your journey in the B2B tech market?

I work out of Similarweb’s New York office, where my mission is to arm our customers with information and tools so they can optimize their digital marketing campaigns and programs. We help you make intelligent decisions when planning and budgeting for advertising and other marketing investments.

Similarweb is a public company (NYSE: SMWB) based in Israel, which is where I’m originally from – although I’ve been in the US for more than 25 years now. I’m a computer engineer by training, but I gravitated toward using technology to solve real business problems.

I’ve been working in B2B SaaS since I joined Magneto in its early days back in 2009. Magneto is an open source ecommerce platform that was acquired by eBay and later sold to Adobe. I was there for the eBay acquisition. As a Magento product management leader, I focused on merchandising, pricing, marketing tools and promotions capabilities, inventory management, as well as helping businesses build their online presence.

At the end of 2013, I left eBay for Conductor, an Enterprise SEO startup. Looking back, one problem with the early days of the “online gold rush” of building ecommerce websites was that any individual website depends heavily on Google bringing them traffic. Unfortunately, brands were treating online stores as interchangeable warehouses and department stores for their goods, with minimal differentiation. To run a successful online business, you need to find ways to stand out from the competition with a relevant and unique online experience– and show up in search. You really have to deliver on everything your brand stands for and answer all the questions your audience may have. Otherwise, you risk your business being commoditized. Good SEO can help.

I love that SEO is at the intersection of technical, analytical, and content. You need a holistic approach to connect marketers with consumers through search results.

After seven years at Conductor, I took a bit of a detour into working for a contract automation SaaS startup, where I worked with an early version of what we now call generative AI. The kind of tech exemplified by ChatGPT evolved out of natural language processing or NLP tech. That company used NLP for analysis and negotiation of legal language. That experience helped me understand the potential of today’s AI to improve Similarweb’s platform by providing better insights and understanding of the digital world.

I landed at Similarweb in 2022, and that brought me back to working with SEO – except that the industry is changing and continues to change. SEO is only one piece of what marketers need. SEO as a practice has evolved strictly beyond Google. Now I lead our marketing intelligence solutions for organic and paid marketing for all channels. We’re leaning into AI and exploring other types of search, like search on TikTok, popular websites, and ChatGPT.

We’d love to hear about some of Similarweb’s upcoming products and features and recent enhancements that have piqued the interest of end users?

Over the past few years, Similarweb has invested in keyword research capabilities that provide unique insights into consumer search in near real-time. Speed is extremely important given how quickly the search algorithms and the competition change.

The platform can estimate traffic to any URL – whether yours or a competitor’s – and tell you whether that traffic came from search or another channel, such as direct, display, referral,  or social. Whether it’s organic search or paid search, you see which keywords drove that traffic. Our rank tracking and brand monitoring let you see whether you are dominating the keywords your company wants to own. If a competitor or emerging website is attracting your branded traffic, Similarweb data helps you figure out what you should be doing differently.

Similarweb recently acquired AdMetricks, which will strengthen the platform with improved tracking and analysis of display advertising. Display is an important channel as marketers and popular websites seek to monetize and attract audiences beyond search advertising. A CMO wants to make informed decisions, in an agile fashion, about distributing investments between various channels.

Beyond that, we’re keeping up with how search and advertising are diversifying. One big trend over the past few years is retailers acting like publishers, with search optimization and paid search of their product catalog rising in importance. That’s true on Amazon and, increasingly, across the ecommerce landscape.

Google is still a big part of the search and advertising ecosystems, but it’s just the beginning.

Young people, in particular, are relying as much or more on TikTok as search versus Google  for specific types of informational and transactional queries. They seek a different experience that marries social with search and ecommerce.

ChatGPT and other AI chatbots represent a whole new kind of search, and we’ve been working on analysis of chatbot prompts and the answers they produce.

Not all our work on these fronts has been productized, but Similarweb does provide retail search analytics, and our consultants have worked with clients on TikTok search and ChatGPT prompt analysis.

Google SGE, the integration of the generative AI chatbot experience into search results, is likely to go mainstream soon, representing another shakeup in the search industry.

It’s a lot to keep up with!

When it comes to the overall state of martech today: from the point of view of both martech creators and users: what are the biggest trends, lags you are observing? For instance, is the market too crowded with choices but yet, a lot of the relevant and missing features still don’t have tools for them?

Martech is definitely crowded, with many point solutions. Especially in larger companies, marketers struggle to find the time to use all the software and SaaS products they have licensed. The spend on those tools is also getting a lot of scrutiny from businesses doubting the incremental impact of each individual tool. Time and again, we hear marketers and business leaders say they want a cohesive set of tools to help them understand and optimize the customer journey from interest to sale and to retention of that customer. CMOs want to direct resources in an agile way and meet consumers where they are.

To me, that implies a need to get away from biases imposed by the data and functions of tools toward specific channels. That’s a problem when it’s disconnected from the realities of how people interact online and how businesses connect with customers.

In the context of my work, that means eliminating bias toward any single marketing channel. Similarweb wants to give you as complete of a view as possible. That’s why, in addition to web data, Similarweb has added app data and alternative channel data. In addition to organic search and paid search optimization, we’re beefing up our analytics for display advertising and retail for search optimization and advertising. You might have other sources of interaction and transaction data, but we want to provide a complete picture of your performance in the digital world and how you can improve versus the competition.

Marketing Technology News: MarTech Interview with Shirli Zelcer, Chief Data & Technology Officer @ Merkle (a dentsu company)

What should today’s B2B marketers do more of to ensure they are optimizing use of their martech/salestech stack among their teams?

The short answer is to drive cross-department alignment through cohesive data and tools. Having “one version of the truth” remains an important ideal in data analytics. You want people in different roles and across departments to have a common understanding of customers’ needs, the competitive landscape, market sizing, opportunities, and emerging trends.

Alignment helps sales with their outreach, lets CMOs direct campaigns to the right channels, and sets a company-wide narrative for communicating the brand. When choosing technology, look for products that inform marketing and flow through to the sales process.

Beware of making those decisions in isolation. Ideally, you should consolidate the needs of multiple departments and prioritize them under one budget. Siloed decision making tends to lead to different departments purchasing tools with the same or overlapping functionality that don’t work together or provide a narrow point of view.

Can you talk about the state of modern B2B marketing and martech and what trends will dominate the space in 2024?

Modern B2B marketing is all about agility and alignment. You want cross-functional alignment around messaging and customer touchpoints. You may want to emphasize specific channels, perhaps because they’re more cost-effective, but customers will make their own decisions. You have to provide a good experience no matter what channel they choose. Your brand needs to be strong wherever customers are spending their time. Marketers are in a great position to better inform businesses on what the outside world looks like digitally and at scale. They can help make more informed decisions about product needs, customer sentiment, market sizing, support, and strategic business decisions.

Organizations that make a cross-channel experience as interactive and engaging as possible will be rewarded. However, success will always be provisional. You must be alert to emerging trends and ready to change tactics if what you are doing stops working.

Much of that work happens across websites and services you do not directly control, including social media. Help shape your narrative through content creation and work with review sites. I expect more brands to bring in the voice of vetted experts to combat the noise created by generative AI across the web and on apps. That is an opportunity for genuine and trustworthy marketing organizations.

We will see advertising dollars distributed beyond Google, social media, or even Amazon to more niche outlets with relevant audiences. I also expect we will see new investments in offline channel marketing, particularly where digital elements can be integrated into physical settings like events.

Tell us about the leading B2B martech creators from the global martech segment that have piqued your interest continuously over the years and why? 

In terms of models to emulate, I admire companies that have their tech and messaging tell a consistent story across multiple channels.

In the marketing automation space, Hubspot continues to do a nice job. They defined the whole concept of Inbound Marketing early on, evangelized for it, and enabled it with their product lines. From there, they have broadened into providing a CRM for more comprehensive customer journey management.. They make the execution and communication of marketing plans and campaigns effective in the day-to-day work of their users. And they communicate what they do really well.

Similarweb can do the same for an outside-in, competitive marketing analysis of the digital landscape. Lots of other companies help you publish and distribute your message. Similarweb lets you see what’s working – not in isolation, but as part of a very competitive digital marketplace, from the macro scale to small details. We help you uncover how the rest of the world sees you compared to the competition. That’s how you discover opportunities to elevate and optimize your company’s visibility and its products in the digital world.

Marketing Technology News: Creativity is at a Crossroads and in the Crosshairs

[vc_tta_tabs][vc_tta_section title=”About Similarweb” tab_id=”1544515685282-bf64247e-9d9aeec0-8908″]

File:Similarweb Logo.svg - Wikipedia

Similarweb is a digital intelligence platform that empowers its users to understand the online competitive landscape, be the first to discover the best business opportunities, and respond to competitive threats. Similarweb (NYSE: SMWB) is based in Tel Aviv, Israel, with offices in New York City and around the world.

[/vc_tta_section][vc_tta_section title= “ About Baruch Toledano” tab_id=”1544515685339-cf6c9bcd-6b1aeec0-8908″]

Baruch Toledano is the GM of Digital Marketing Solutions at Similarweb, providing competitive and strategic intelligence products to marketing teams and businesses of all sizes. Baruch is an operational leader in digital marketing and ecommerce, with a wealth of experience in product development, business management, and B2B partnerships. In his former position at Conductor, an enterprise SEO and content intelligence platform used by major global brands, he successfully led product development, strategy, and growth operations. Previously, Baruch held a prominent position at Magento, leading product management, design, and community efforts for the widely adopted open-source ecommerce platform, utilized by millions of merchants worldwide, which served as the foundation for Adobe Commerce technology.

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Also Catch: Episode 188 of The SalesStar Podcast: Optimizing Customer Journeys with Debbie Braney, Vice President, Demand & Brand Marketing at Glassbox

 

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