Proven AI solution for top pharma companies analyzes hundreds of thousands of signals to recommend the best campaign sequences mapped to every HCP’s prescribing journey

ODAIA introduced Marketing Intelligence, an AI solution that helps pharma marketing and brand teams orchestrate personalized campaigns to healthcare professionals (HCPs). Now available, Marketing Intelligence analyzes prescribing data, engagement signals, CRM records, and physician attributes in real time to deliver the best message, channel, content, and timing at the right moment in every HCP’s decision-making journey. As new behavioral signals emerge, the solution continuously refines engagement strategies and tailors campaign sequences down to the individual national provider identifier (NPI) level for each HCP.

“Pharma marketers invest heavily in omnichannel, but are forced to settle for backwards-looking data, static segmentation and targeting, and campaign execution that can’t adapt to how HCPs actually behave,” said Jacqueline Markle, vice president, pharma technical strategy at ODAIA and a 20-year industry veteran in pharma commercial data science and analytics with prior roles at AstraZeneca and Sage Therapeutics. “Marketing Intelligence treats every HCP as a segment of one, pinpoints where they are in their prescribing journey, and orchestrates face-to-face and digital touchpoints – with attribution tied directly to prescription lift.”

Marketing Technology News: MarTech Interview with Haley Trost, Group Product Marketing Manager @ Braze

Most brand teams still rely on consultants to build clusters of physician personas and rules-based channel sequences informed by data that is months old. Target lists get handed to agencies, each vendor matches its own subset, and the same HCP receives redundant messages across channels, often long after a clinical decision has been made. Recent industry analyses suggest pharma spends tens of billions of dollars globally on HCP engagement each year, with 40–70% failing to deliver meaningful impact because of misaligned targeting, channel, and timing, indicating a multi‑billion‑dollar annual waste problem in the US alone.

Marketing Intelligence closes the gap between pharma commercial strategy and execution in four ways:

• Operationalize brand objectives into execution — ensure downstream decisions, tactics, and execution about targeting, sequencing, engagement, and budget are appropriately weighted to support your primary brand objectives and strategies.
  
  
• Score every HCP individually — instead of grouping HCPs by clusters or personas, evaluate each one against your objectives using real-time engagement, prescribing, and patient signals to pinpoint high-value prescription opportunities.
  
  
• Sequence individualized HCP journeys — orchestrate the best sequence of message, channels, and timing for each HCP across digital and face-to-face by mapping engagement and approved content to each journey stage.
  
  
• Control spend and channels — set and adjust budget allocations to match your flighting calendar by brand, objective, channel, or vendor to match campaign priorities as market conditions shift and new HCP behavioral signals emerge.

Marketing Technology News: From Data to Impact: How AI is Transforming Interactive CTV Ads

Marketing Intelligence seamlessly connects to existing marketing platforms to trigger real-time recommendations, while automatically pulling-in new engagement and prescription data daily or weekly. This creates a constant feedback loop that replaces slow, quarterly refresh cycles that are typical in traditional pharma marketing analytics.

In one recent pharma commercial deployment, Marketing Intelligence evaluated 70,000 HCPs, concentrating marketing spend on the physicians most likely to respond. The solution delivered an 80% engagement rate and a 39.7% conversion to prescription after engagement, while also surfacing active prescribers that the customer’s existing process had missed.

“Customers repeatedly tell us that they didn’t know there was a solution out there that could work this way,” Markle continued. “Pharma commercial teams are used to waiting months for a marketing mix model analysis. With AI, we can do it every week, individualized at the NPI level for each HCP, tied to actual prescribing outcomes. Marketing Intelligence is proven, in production, and delivering measurable business results in pharma today.”

Platform translates live odds from Polymarket, Kalshi, PredictIt, and Manifold into clear, human-readable insights

Prediction markets have become one of the most reliable forecasting tools available . In 2025 alone, over $63 billion in volume traded across major platforms, and outlets including CNN, The Wall Street Journal, and CNBC now cite market odds alongside traditional polls when covering elections, economic decisions, and global events. The signal is real. The problem is that most people have no idea how to read it.

PredictionCircle was built to close that gap. The platform aggregates live data from four major prediction market platforms and turns raw probabilities into clear, structured intelligence. Every market page on PredictionCircle combines current odds, trading volume, participation data, relevant news, and a plain-English summary of what the market is actually saying.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Prediction Markets Hit the Mainstream

The launch arrives at a turning point for the industry. Since late 2025, DraftKings, FanDuel, Truth Social, Robinhood, and Fanatics have all launched or announced prediction market products, bringing the category to tens of millions of new users for the first time. Polymarket’s implied probabilities tracked the 2024 US presidential election more closely than any major polling aggregator in the final weeks of the campaign, and the Iowa Electronic Markets, running since 1988, have beaten national polls in 74% of head-to-head comparisons across 964 polls.

The platforms are multiplying. What has been missing is an independent layer that helps everyday audiences actually understand what these markets are saying.

Turning Numbers Into a Full Picture

Most prediction market platforms show a probability and stop there. A 67% contract tells you a number, but not whether that number has been rising or falling, who is behind it, or what moved it this morning.

PredictionCircle adds context at every level. The platform introduces a proprietary signal called Crowd vs. Money, which separates two things that headline odds collapse into one: how many participants are backing an outcome, and how much capital is actually committed behind it. When those two diverge, it often reveals something the probability alone does not show.

Data refreshes every five minutes. Markets are tracked across politics, economics, cryptocurrency, sports, geopolitics, and global events.

Built for the Outer Circle

Prediction markets have historically been tools for traders. PredictionCircle is built for everyone else: the curious majority who follow politics, sports, and economics, and who want to understand what the collective judgment of informed participants is actually saying, without needing a trading background to get there.

“Prediction markets are one of the clearest signals of what people actually believe will happen,” said a co-founder of PredictionCircle. “But the data has been locked behind complex interfaces and built for traders. We built PredictionCircle to make that signal readable for anyone.”

The platform’s roadmap includes a Daily Prediction Brief delivering the largest probability shifts each morning, AI-powered Smart Insights that explain what is driving odds movements, and per-event discussion boards where market data is part of the conversation context.

Transparent by Design

PredictionCircle does not operate prediction markets or facilitate trading. The platform aggregates publicly available data from Polymarket, Kalshi, PredictIt, and Manifold, and has independently reviewed and scored each platform on liquidity, fees, resolution integrity, and accessibility before inclusion.

All content on PredictionCircle is informational only. Market odds reflect collective sentiment, not financial advice.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Organizations are operating in markets that are more volatile, cluttered, and competitive than ever, yet many still rely on static reports, point-in-time studies, and opinion-driven debates to make critical decisions. Linara is designed for this moment, helping teams move faster while staying grounded in real customer understanding.

“Brands don’t always need more data. They need clearer answers, faster, and in the context of their business,” said Elizabeth (Beth) Finn, President & CEO of The Directions Group. “This platform gives our clients a way to have a real conversation with the intelligence they already own, so they can move from ‘what do we know?’ to ‘what should we do?’ with more confidence.”

Marketing Technology News: MarTech Interview with Stephen Howard-Sarin, MD of Retail Media, Americas @ Criteo

Not Another Generic AI Tool

In a moment when everyone has an AI tool, most are still generic, trained only on public data and detached from the realities of a specific business and the fundamentals of data integrity. Linara takes a different path. It’s built on each client’s proprietary research and insights, and will be molded to reflect real-world customers, competitive context, and strategic questions.

At The Directions Group, artificial intelligence is used to amplify human intelligence, and Linara reflects that philosophy. AI is always applied intentionally and with care, grounded in rigorous research and human expertise so teams can move faster without sacrificing thoughtfulness, context, or integrity in their decisions.

Instant Access to Customer Insights

Linara begins with Personas, a conversational interface that transforms segmentation from a static framework into an active, ongoing dialogue that teams can access anytime. With Personas, clients can:

• Get instant, conversational answers about who each persona is, what drives them, and how they differ.
• Evaluate scenarios and “what if” questions for new propositions, concepts, and messaging angles.
• Explore segment-level implications for campaigns, portfolio decisions, and customer experience design.

“Segmentation is one of the most powerful, and most underused, assets inside an organization,” said Finn. “Linara Personas keeps that investment alive and in use every day. It’s like having a strategist who knows your segments inside and out, available on demand whenever a new question comes up. And when a question or business problem goes beyond what Linara Personas can do, our team of consultants and research experts is ready to step in.”

Over time, The Directions Group will expand Linara with additional capabilities. Future development areas will include, but not be limited to, additional marketplace intelligence and connecting insights across multiple research studies.

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

Building with Clients

Linara is being developed in close partnership with early client adopters. Organizations that come on board in the initial phases will have immediate value from Linara Personas at launch, input into the Linara innovation roadmap, and opportunities to participate in beta testing as new capabilities are released.

“I’ve been working with The Directions Group team to pilot Linara and have seen first-hand how it helps sharpen messaging to specific segments,” said Shane Harrison, Senior Strategy Analyst at Compeer Financial. “It’s also a powerful strategic tool helping us to think differently about when, how, and where to invest our resources, and the conversations around new products and service ideas have been especially insightful. We don’t have anything else like this.”

Channel99, the leading B2B marketing performance platform, announced the integrations (via an MCP server) of its Marketing Intelligence Data with the world’s leading generative AI solutions, including OpenAI’s ChatGPT, Microsoft Copilot, and Claude Cowork. The new capability enables B2B marketing leaders to work directly with their cross-channel marketing performance data inside the AI tools they use every day, saving time turning complex analysis into instant, outcome-driven action.

Channel99’s Marketing Intelligence Data platform unifies marketing performance data across all B2B channels to tie it directly to pipeline. By capturing 10 times more customer signals than traditional attribution tools – including click-less engagement like organic social, email, display, and content syndication – Channel99 provides the first business-ready data foundation designed to fuel generative AI.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

From Insight to Instant Action

By embedding this unified data layer into generative AI platforms, marketers can move beyond static reporting and into real-time strategy execution. Key capabilities include:

• Improving LLM Discoverability: Identify the top-performing keywords and topic clusters driving pipeline to improve brand visibility within AI models and search engines.
• Creating Intent-Driven Audiences: Prompt generative AI to build dynamic account lists based on historical performance data, then instantly receive recommendations for the optimal channel mix and budget.
• Generating Outcome-Based Marketing Plans: Generate complete marketing plans—including vendor selection and projected ROI—simply by specifying a pipeline target.

“Customers want to engage with their data and performance insights through the tools they use every day, which are increasingly generative AI solutions,” said Chris Golec, Founder & CEO of Channel99. “We are removing the guesswork and operational inefficiency, providing fact-based answers in seconds.”

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

A Unified Data Layer for Reliable AI

At the core of Channel99’s Marketing Intelligence Data Hub is a foundation that consolidates performance data across all paid and organic B2B channels, connecting media platforms, intent data, website engagement, and CRM systems at the account level. Because Channel99 captures 10 times the signal of traditional attribution tools, it provides generative AI with the full context it needs (including organic social engagement, email interactions, and display impressions) to deliver accurate recommendations. Rather than relying on isolated platform dashboards, marketers can now interact with a unified source of truth through simple conversational prompts.

Moving Beyond Traditional Attribution

Traditional attribution has largely ignored the clickless interactions that heavily influence buying groups. Channel99 connects these signals to business impact, giving generative AI the intelligence needed to recommend actions with confidence.

MediaRadar’s Data Cloud unlocks direct access to AI-ready Marketing Intelligence, connecting into the data warehouses, modern marketing stacks and AI platforms teams use to train models, generate insights and automate decisions.

MediaRadar unveiled its Data Cloud, a breakthrough in advertising data interoperability that transforms how Marketing Intelligence is accessed, activated and scaled in an AI-driven market. As media fragmentation accelerates and decision cycles get quicker, marketers, publishers and platforms need intelligence that can be applied instantly across analytics, activation and AI workflows. The Data Cloud meets that need by making Marketing Intelligence immediately usable across the modern data and AI stack, so organizations can act faster, scale insight and outperform competitors.

MediaRadar’s Data Cloud puts mission-critical advertising datasets, including creative trends, competitive spend and media mix analysis, to work inside clients’ existing environments so teams can analyze markets, inform strategy and activate insights across planning, measurement and optimization. With this intelligence available where decisions are made, organizations can power AI-driven workflows that connect trusted advertising data to models and agents across platforms such as ChatGPT, Anthropic and Gemini. Future innovations, including built-in support for the Model Context Protocol, will further extend these capabilities with secure, consistent intelligence across teams and tools.

Advertisers need instant, pervasive access to trusted data to compete in today’s fragmented, fast-moving media landscape. MediaRadar’s Data Cloud delivers that advantage by enabling sharper media spend allocation, faster competitive intelligence and AI-ready insights that power better, data-driven marketing decisions.

Marketing Technology News: MarTech Interview with Stephen Howard-Sarin, MD of Retail Media, Americas @ Criteo

These capabilities are built on MediaRadar’s unmatched Marketing Intelligence data foundation, spanning $280B in media spend, 35M+ creative assets and 30+ media channels, including social, digital video, programmatic, CTV, AVOD, linear TV and retail media. Together, this enables brands and agencies to:

• Anticipate moves by pinpointing shifts in media spend and creative strategy and adjusting plans in real time
• Compete more effectively across channels by identifying opportunities that maximize brand impact and marketing performance
• Operationalize advertising intelligence by using AI-ready datasets inside analytics and AI systems to generate insights, guide planning and inform optimization

Publishers and adtech platforms need deeper commercial intelligence to compete for advertiser spend, prove value and grow revenue in an increasingly crowded marketplace. MediaRadar’s Data Cloud delivers that intelligence by enabling teams to target, position and sell to advertisers more effectively, unlocking new revenue opportunities and shortening sales cycles. With the Data Cloud, they can:

• Identify high-propensity buyers to focus sales efforts, accelerate pipeline growth and drive revenue
• Map brand- and product-level advertising activity to deliver more relevant, compelling pitches that resonate with advertiser priorities
• Align sales strategies with emerging advertising trends to stay ahead of the market and win spend earlier in the buying cycle

“With the Data Cloud, we’ve removed one of the industry’s biggest obstacles: fragmented, siloed data that no one can act on,” said Tejas Desai, Chief Product & Technology Officer at MediaRadar. “Now, Marketing Intelligence flows where it’s needed most, at the speed of decision. This empowers our clients to access and apply intelligence effortlessly, fueling smarter decisions and better outcomes.”

Marketing Technology News: From MarTech Stack to MarTech Fabric: Weaving Brand, Content, and Conversion Into One Thread

Key MediaRadar Data Cloud capabilities include:

• AI-Enabled Brand Identity System
  A comprehensive parent-child taxonomy acts as a single source of truth for media spend, creative and campaign assets across parent brands, sub-brands, products and co-ops. This gives teams a consistent, connected view of advertising strategy across categories and channels, enabling cleaner analysis, stronger benchmarking and more reliable AI-driven insights.
• Accessible Wherever You Work
  A fully cloud-native ecosystem delivering Creative, Competitive, Commercial and Market Intelligence inside the tools teams already rely on. With data available directly in analytics, planning and AI environments, organizations can apply intelligence immediately to revenue, strategy and optimization decisions.
• Context-Rich Semantics
  Standardized brand, creative and campaign metadata ensures consistent meaning across datasets, enabling more accurate analysis, stronger benchmarking and AI systems that perform with greater precision and reliability.

AI-Ready by Design
The MediaRadar Data Cloud is built to support AI at scale. By harmonizing media spend, creative and campaign data into a single interoperable framework, it delivers the high-quality context AI systems need to generate accurate insights and recommendations.

With clean, structured and consistently classified datasets, clients can:

• Train AI models with higher-quality advertising data for more accurate predictions and insights
• Accelerate outcomes across go-to-market strategy, product innovation and decision-making
• Compete decisively by benchmarking share of voice and spend, identifying whitespace and anticipating competitor moves

The result: a Marketing Intelligence foundation that organizations need to compete today and scale confidently as AI continues to reshape the advertising industry.

Magnite will work with the real estate leader to extend its high-value audiences offsite and unlock new routes for brands to connect with high-intent home buyers

Magnite, the largest independent sell-side advertising company, announced that REMAX, LLC, one of the world’s leading franchisors of real estate brokerage services, has selected Magnite as its partner to accelerate the growth of its commerce media business. REMAX will work with Magnite to monetize its onsite digital inventory and activate its first-party home buyer data offsite via curated audience packages, creating new opportunities for brands to reach high-intent home buyers.

REMAX is the first real estate franchisor brand to launch a commerce media network, revolutionizing the way real estate and advertising converge and positioning itself to tap into the growing trend of retail media. Leveraging Magnite’s curation tools, REMAX will enrich media supply with its proprietary first-party homebuyer data, and package premium audience segments based on critical attributes such as income level, age, and homebuying stage. This approach enables advertisers and agencies to activate REMAX data against Magnite’s premium inventory, with the advantage of precise targeting and streamlined programmatic workflows.

“We know brands are looking for precision and efficiency, and enabling our data through the supply side helps deliver both,” said Abby Lee, EVP of Marketing, Communications and Events at REMAX, LLC. “We’re excited to work with Magnite to bring our commerce media strategy to life through the REMAX Media Network, and offer advertisers smarter, more powerful ways to reach the people making major life purchases with the right message at the right time.”

Marketing Technology News: MarTech Interview with Liat Barer, Chief Product Officer @ Odeeo

Unlike general mover data, the REMAX audience segments reflect real-time home buyer intent signals that matter most to categories like mortgage lending, insurance, home goods, financial services, and more. With Magnite technology, REMAX can now scale these audiences offsite and make them available to buyers in their platform of choice, with the added opportunity for higher match rates, improved cost efficiency, and stronger brand safety controls that come with enabling data on the supply side.

“REMAX agents have long been trusted guides for home buyers and sellers, and now we’re tapping into that power to help brands connect with consumers during one of life’s most important decision-making windows,” said Stephanie Reustle, Head of Commerce Media at Magnite. “This relationship is designed to maximize the value of the REMAX brand’s rich home buyer data while giving advertisers the ability to reach these audiences wherever they are.”

Launched in December 2024, the REMAX Media Network spans digital and offline activations across the U.S. and Canada, leveraging the brand’s expansive digital ecosystem to provide advertisers with a unique platform to connect with consumers. Aligning with the broader industry trend of data moving to the supply side, working with Magnite helps extend reach and enhance the value and performance of curated commerce media campaigns.

We’re Magnite (NASDAQ: MGNI), the largest independent sell-side advertising company. Publishers use our technology to monetize their content across all screens and formats—including CTV, online video, display, and audio. The world’s leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in transparency, our platforms are built on modern, cloud infrastructure and drive performance and efficiency for buyers and sellers alike.

Marketing Technology News: What Marketers Need to Know About the European Accessibility Act

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

__________

Marketing and Marketing Tech Quote-of-the-Week!

Brands looking to gain more traction in today’s ecosystem should keep one thing top of mind: quality. The quality of where the ads are appearing and the quality of the viewer. Real users who intentionally visit a site are much more valuable than accidental clicks from someone who’s just trying to navigate somewhere else. Engaged audiences are what drive outcomes.

– Kurt Donnell, CEO @ Freestar

Top MarTech News of The Week – 16^th June to 20^th June, 2025

• NiCE CXone Mpower Builds on Snowflake AI Data Cloud to Unlock Secure, Scalable CX Automation Across the Front, Middle and Back Office
• Tealium announces CloudStream, creating the first unified, zero-copy orchestration solution built for the AI era
• Movable Ink Unveils Autonomous Marketing Capabilities
• Infosys and Adobe Announce Strategic Collaboration to Turbocharge Marketing Transformation with AI
• Supermetrics Acquires Leading CDP, Relay42 to Redefine the Future of Marketing Intelligence
• Agora and WIZ.AI Partner to Deliver Enterprise-Ready AI Agent Solutions

Top MarTech Articles on Data Privacy, MarTech Integrations, Affiliate Marketing and more!

• The Future of Affiliate Marketing: Evolving Strategies for 2025
• 6 Ways to Google-Proof Your Paid Search Campaigns Based on the Latest Updates
• How AI-Native Strategies are Rewriting Old Performance Marketing Playbooks
• Beyond Integration: Building a Truly Connected Martech Ecosystem
• Data Privacy and Your MarTech Stack: What Today’s Marketers Need to Comply With
• The Importance of Cultural Sensitivity in Marketing
• From Martech Cost Center to Marketing Value Driver: How the Right Metrics can save Martech Adoption?

MarTech Q&A of The Week

Set granular, flexible rules based on real-time performance signals, then let automation handle the adjustments. Second, monitor cross-platform performance and automate orchestrated budget shifts between direct and programmatic where margins dictate. These practices allow advertisers and publishers to react faster than human teams ever could.

– Frans Vermeulen, President @ Swivel (formerly PilotDesk)

Missed The Latest Episode of The SalesStar Podcast? Have a quick listen here!

Episode 229: The Future Of Digital Customer Journeys with Monica Ho, CMO at SOCi

Episode 228: Gamification for Better Sales Orientation with SalesScreen CEO – Sindre Haaland

Episode 227: Revenue Generation and RevTech Trends: with Latane Conant, CRO at 6sense

___________

Marketing and Marketing Tech Quote-of-the-Week!

You need a shared foundation — one source of truth that ensures everyone is looking at the same data. Too often, marketing is tracking one set of data, sales is looking at another, and customer success has yet another. If those insights aren’t connected, it’s impossible to create a seamless experience for customers.

Then, it’s about clarity and SLAs. Every team needs to know when and how they should use that data to engage prospect and customer accounts. That means defining the right moments for marketing to drive awareness and when sales should step in. If there’s ambiguity about those handoffs, opportunities slip through the cracks.

AI and automation also play a big role in helping teams stay aligned and on the same page. AI can surface the right signals so sales knows exactly when to reach out, rather than relying on gut feel or outdated lead scoring. The key is making sure those insights don’t just live in dashboards but are integrated into the team’s daily workflow.

– Saima Rashid, SVP, Marketing and Revenue Analytics @ 6sense

Top MarTech News of The Week – 7^th April to 11^th April 2025

• HeyGen and HubSpot Partner to Enable Personalized Video Campaigns at Scale
• Cloudinary Unveils New Video Innovations, Empowering Brands and Tech Teams to Manage and Deliver Video Experiences With Ease
• Tealium achieves MCP integration to fuel agentic AI initiatives
• Ogury Launches Ogury One, A New Advertising Platform To Address Signal Loss
• Placements.io and ITV Extend Strategic Partnership to Drive Advertising Efficiency
• Samsung Ads and Magnite Deepen Partnership to Enhance Audience Addressability in Streaming TV
• Shirofune Expands to Support Google DV360, Unifying Ad Management Across Programmatic, Search, and Social
• Validity Acquires Litmus, Advances Leadership as Best-in-Class Global Provider of Marketing Success and Customer Data Intelligence Solutions
• HubSpot Launches New and Enhanced AI Agents, Plus Over 200 Updates at Spring 2025 Spotlight

Top MarTech Articles on DAM, Customer Experience Management, Data Lakes in MarTech and more!

• Cracking the Code: How New Tech Is Making Audio Performance More Measurable Than Ever
• AI Works Best When Humans Are in Control—For Now
• Invisible Experiences: The New Era of Email Marketing
• Beyond the Brand In-Housing Hype: A No-BS Guide to What Actually Works
• Leveraging DAM and AI to Meet Increasing Content Demands
• The Sentient Segment: How AI-driven Predictive Psychology Is Reshaping Martech
• The Crucial Role of Enterprise Customer Experience Management Platforms in Elevating Brand Loyalty and Engagement
• The Role of Data Lakes in Martech Integration: Centralizing your Marketing Intelligence

MarTech Q&A of The Week

Marketers need to have one unified view of their customer and every touchpoint with their brand, in order to better provide value and market to these customers. They want to target and segment, and then seamlessly activate across all of the places where their target customer is spending their time, which requires ecosystem connectivity. What many people don’t think about is that connectivity also makes measurement possible, so that marketers can make informed, real-time decisions about their investments, and get the most out of their spend.

–Travis Clinger, Chief Connectivity & Ecosystem Officer @ LiveRamp

Missed The Latest Episode of The SalesStar Podcast? Have a quick listen here!

Episode 225: The Latest Trends in B2B Commerce: with Daniela Jurado, EVP, North America at VTEX

Episode 224: The Future of Al and Sales with Eilon Reshef, co-founder and Chief Product Officer at Gong

Episode 223: Retail Trends That Are Redefining The Buyer- Seller Cycle: with Sara Richter, CMO at SAP Emarsys

Brands are increasingly recognizing the potential of native advertising to create meaningful connections with their audience. Native advertising, which seamlessly blends with the publisher’s content, offers a non-disruptive and engaging way for brands to reach consumers.

Native advertising leverages compelling storytelling to build brand affinity and trust. Together, they offer a powerful tool for brands to convey impactful messages that appeal to their target audience, driving both engagement and conversion. This growing popularity signifies a shift towards more integrated and consumer-centric advertising strategies.

Understanding the Power of Native Advertising

These benefits highlight the immense potential of native advertising in creating compelling ad experiences that integrate seamlessly with publisher content.

1. Enhanced User Experience:

Native ads, by design, blend seamlessly with the content of the platform they’re on. This provides a non-disruptive and engaging user experience, as the ads feel less like traditional advertising and more like part of the content.

2. Improved Brand Perception:

Native advertising allows brands to foster trust and authority by offering valuable information to the audience. This form of advertising is less about selling products and more about building a relationship with consumers through quality content.

3. Increased Engagement:

The interactive nature of native advertising encourages user engagement. These ads are designed to be engaging and interesting, leading to higher click-through rates and more time spent on the ad.

4. Better Conversion Rates:

By delivering personalized and relevant content, these strategies can significantly improve conversion rates. Customers are believed to be highly likely to engage with an ad and take action when the content is relevant to them.

5. Greater Reach:

Native ads have the advantage of bypassing ad blockers, ensuring your message reaches a wider audience. As these ads are integrated into the content, ad-blocking software is less likely to block them.

6. Effective Storytelling:

Native advertising enables brands to tell compelling stories, fostering emotional connections with consumers. This form of advertising is all about storytelling, which enables brands to create a deeper connection with their audience.

Marketing Technology News: MarTech Interview with Kelly Hopping, CMO @ Demandbase

Tips for Brands to Create Engaging and Integrated Ad Experiences

Creating compelling native ad experiences that seamlessly integrate with publisher content is a powerful strategy for brands. Here are ten detailed pointers on how brands can achieve this:

1. Understand the Platform:

Each digital platform has its unique style, audience, and content format. Brands should thoroughly understand these nuances to create ads that feel native to the platform, enhancing user engagement and receptivity.

2. Know Your Audience:

A deep understanding of the target audience is crucial. Brands need to develop content that appeals to their audience’s interests, needs, and behaviors, thereby fostering a stronger connection and improving the effectiveness of the ad.

3. Create Quality Content:

The content in native advertising should be high-quality, informative, and engaging. It should provide value to the audience, not just promote the brand, thereby building trust and credibility.

4. Use Visuals Effectively:

Visuals can significantly enhance content engagement. Brands should use relevant images, videos, and infographics in their ads to attract attention and convey their message more effectively.

5. Personalize the Content:

Personalized content can significantly improve engagement rates. Brands should leverage data and insights to deliver personalized and relevant content to each user, enhancing the ad’s relevance and effectiveness.

6. Tell a Story:

Storytelling can make content more engaging and memorable. Brands should tell compelling stories that connect with their audience on an emotional level, thereby enhancing brand recall and affinity.

7. Use Clear Call-to-Actions:

A clear and compelling call-to-action can encourage the target audience to take a desired action, improving conversion rates. It should be concise, persuasive, and aligned with the ad’s objective.

8. Test and Optimize:

Brands should continually test different elements of their ads and optimize based on the results to improve performance. This iterative process can help brands refine their strategy and maximize their return on investment.

9. Respect User Experience:

The ad should not disrupt the user experience. It should feel like a natural part of the content, not an intrusive ad, thereby maintaining user engagement and receptivity.

10. Stay Up-to-Date:

The landscape of digital advertising is continually changing. It is crucial for brands to keep abreast of the most recent developments and best practices in native and content advertising to maintain an effective and pertinent strategy.

Conclusion

Native advertising offers a powerful avenue for brands to connect with their audience. Successful examples include Cornerstone, which leveraged Taboola’s discovery platform to boost subscriptions and enhance customer loyalty, and Apple’s ‘Shot on iPhone’ campaign, which used user-generated content to showcase the camera quality. Another notable example is Dove’s ‘Real Beauty’ campaign, which started conversations about beauty standards. These brands have demonstrated how effectively integrating native and content advertising can create compelling ad experiences, foster brand affinity, and drive business growth.

Marketing Technology News: How DAM Platforms are Evolving Today – Impact of AI in Digital Asset Management