But the surfaces are noisy. Your prospect can scroll past the ad in their feed, filter the email, skip the pre-roll, or fast-forward through the podcast break. During my time at Meta, we told marketers they had three seconds before the scroll. That pressure hasn’t gotten easier. It’s compounded.

This is the gap TV fills. Not instead of the stack you’ve already built, but alongside it.

The Buyer Is Already Watching

The people approving vendor budgets and signing software contracts are the same people watching TV after work. Reaching them there isn’t a departure from B2B marketing logic. It’s an extension of it.

Streaming or CTV ads have made this practical in ways that weren’t possible five years ago. Audience-based buying, geo tests, frequency controls, survey attribution — the measurement mechanics B2B performance marketers already know map directly onto CTV. Relay, the fintech platform for small businesses, started on CTV because it offered tighter targeting and faster feedback loops than TV, with measurement they could actually explain to a CFO. Early results showed a direct lift in branded search and site traffic. That’s not a brand metric. That’s demand generation.

IAB data put CTV ad spend at $23.6 billion in 2024, up 16% year over year. The channel is no longer experimental. Most B2B marketers just haven’t caught up to that yet.

What TV Does That Digital Can’t

Search ads get six words. LinkedIn posts compete with every other hot take and humblebrag in the feed. A 30-second TV spot is unskippable. It gets the full screen and the viewer’s attention in a way that no digital format can guarantee. Your prospect can keep scrolling past your social ad. They can skip your pre-roll. They cannot skip the TV spot.

For B2B brands with complex products, that guaranteed attention is valuable. Gusto, the payroll and HR platform, builds its TV strategy around live tentpole moments, major sporting events and cultural moments, because that’s when their customers are most engaged and most likely to be thinking about the problems Gusto solves. It’s awareness-building timed to purchase intent.

One tactic that connects TV directly to the performance stack: CTV retargeting. Someone visits your pricing page on Tuesday. By Thursday, they’re seeing your ad in their living room, on a full screen, in an environment that carries more weight than another banner in a crowded feed. It closes the loop between your ABM motion and a channel your competitors almost certainly aren’t using against the same accounts.

Marketing Technology News: MarTech Interview With Jay H. Lee, Chief Marketing and Growth Officer @ Five9

TV Raises the Bar (and Maybe Your Next Round)

There’s a credibility effect to TV that doesn’t get discussed honestly enough in B2B circles. It isn’t just about awareness scores. It’s about what showing up on TV signals to the people evaluating you.

Consider the AI SDR space. Dozens of companies competing for the same accounts with near-identical pitches. If your brand has been on TV and your competitors haven’t, your prospect takes the call. You’re no longer one of many vendors in an inbox. You’re a company that operates at a different scale. That perception change happens before your sales team says a word, and it makes everything downstream more efficient.

The CMO is certainly focused on building brand awareness among their ICP, but corporate marketing is another area they own, one focused on raising the company’s profile within its industry and ultimately increasing its perceived value.

When a founder or board member sees their company’s ad during a live sporting event, their phone lights up. Fellow founders text. Investors notice. Raising a round is a different conversation when your brand has been on TV. Acquisition discussions go differently when the other side’s partners recognize your name. This rarely gets framed as marketing’s job. It is.

The Stack Is Good. It’s Just Missing a Layer.

The B2B marketers seeing the biggest results from TV aren’t treating it as a replacement for their performance programs. They’re using it as the layer those programs can’t provide: broad, credible, high-attention reach that introduces the brand to future buyers before they’re searching, and reinforces it with buyers already in your funnel.

Otter, the AI-powered meeting intelligence platform, found that well-crafted TV spots drive immediate engagement even for a complex multi-platform product. Viewers, particularly on mobile, check out the product right away. Top-of-funnel reach converting to bottom-of-funnel action. That’s the full motion.

Your ABM programs, your intent tools, your LinkedIn campaigns are all more effective when the buyer has already seen your brand somewhere that commanded their full attention. TV is that somewhere. The stack you’ve built is good. This is the layer it’s missing.

About Tatari

Tatari is building the infrastructure to modernize TV advertising for Brands, Agencies, and Publishers.

Oktopost, the B2B social media management company, today announced the general availability of the Oktopost Claude Plugin, the first Claude Code skill purpose-built to operationalize B2B social media execution inside AI workflows. The plugin is immediately available on GitHub under the Apache-2.0 license to all Oktopost customers.

Designed for marketing operations, social media, and revenue teams in B2B organizations, the Oktopost Claude Plugin extends Oktopost’s enterprise social media management platform into the conversational AI environments that teams already use for research, content drafting, and analysis.

This marks a shift from social media as a channel to social as an executable workflow embedded directly into AI-driven marketing operations. Marketing engineers and technical marketers can now run end-to-end social programs through Claude, including campaign creation, multi-network publishing, employee advocacy, approvals, and pipeline-attributed analytics, without leaving their working environment. Existing Oktopost customers continue to see the same campaigns, calendars, and approval queues; the plugin adds a conversational layer without changing the underlying system of record.

“For three years, every conversation about AI and social media has been about generating content faster,” said Daniel Kushner, CEO of Oktopost. “The Oktopost Claude Plugin is built for the job that actually matters: running a campaign from start to pipeline, with the governance and attribution a B2B marketing team requires.”

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

Unlike consumer-focused social tools retrofitted for AI, the Oktopost Claude Plugin is built for the realities of B2B marketing, complex approval workflows, compliance requirements, CRM-linked attribution, and multi-stakeholder execution.

A single conversational request produces a complete campaign in Oktopost: a campaign record, message variants for LinkedIn, X, and Facebook adapted to each network’s character limits and media specifications, posts scheduled to B2B peak engagement windows, and starter content for the employee advocacy program. Every post created through the plugin runs through the customer’s existing Oktopost approval workflow before scheduling, so marketing operations and compliance teams retain full control without changing process.

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

For analytics, the plugin returns interpretation rather than raw metrics. It compares advocacy reach to organic, surfaces pipeline attribution from Salesforce, identifies top-performing content, and recommends the next campaign-level action. Teams receive clear recommendations tied to business outcomes, not just dashboards to interpret.

“At Celonis, we’re always looking for ways to push what B2B marketing can do, particularly when it comes to scaling social programs that actually move the needle,” said Chris Sheen, Senior Director of Social at Celonis. “The Oktopost Claude Plugin lets our team move faster from strategy to execution without sacrificing the governance an enterprise environment demands. Being able to connect campaigns, advocacy, and analytics in a single workflow is what matters as social plays a bigger role in pipeline and revenue.”

Rolli (Rolli.ai) today announced the launch of its enterprise API and Model Context Protocol (MCP), giving companies a direct way to integrate verified social media intelligence into software products, internal systems, and AI assistants.

The platform enables organizations to move beyond fragmented, unverified social data by providing a unified, structured intelligence layer built entirely on public signals. Through a single schema, Rolli delivers multi-platform insights including narrative trends, breakout moments, coordination signals, and enriched post-level data across eight major social platforms.

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

Delivered via REST API or MCP, Rolli’s system is designed for seamless integration into modern workflows and AI environments. Teams can query, analyze, and act on verified social signals in real time, with precomputed enrichment including entities, sentiment, velocity, and authenticity scoring.

“Enterprises don’t need another firehose of content,” said Nick Toso, Founder and CEO of Rolli. “They need a verification layer they can trust and deploy directly inside their products and workflows. Rolli provides that layer, turning public conversation into structured, actionable intelligence.”

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Organizations are already using Rolli to identify coordinated narrative spikes, assess authenticity of emerging trends, and respond to reputational risks before they escalate. By combining cross-platform visibility with authenticity scoring, Rolli enables teams to distinguish between organic momentum and inauthentic amplification at scale.

Strengthening Regulatory Compliance and Expanding Digital Advertising Capabilities Across the UAE

The Best Startup Story FZE, known as Best Startup Story in all social media platforms has officially been granted a Social Media Advertiser License by the National Media Authority (NMA) of the United Arab Emirates. The license, issued on May 1, 2026, and valid through April 30 2027, authorizes the company to lawfully conduct electronic and digital media advertising activities across social media platforms in the UAE — a significant milestone that underscores the organization’s commitment to operating with the highest standards of regulatory compliance.

About the License
The Social Media Advertiser License issued by the NMA authorizes Best Startup Story to operate platforms engaged in electronic and digital media activities, including providing News services and advertising. This includes the licensing of platforms that facilitate media establishments and organizations to run digital campaigns and promotional activities. The license is registered under the Emirate of Sharjah, confirming the company’s legal standing to engage in digital media operations across the UAE.

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

Approved Platforms
The Social Media Advertiser License issued by the National Media Authority (NMA) authorizes Best Startup Story to conduct digital and electronic advertising activities across the following platforms:

Why This Matters
The UAE’s National Media Authority is one of the most respected regulatory bodies in the MENA region, and obtaining a license from it reflects a rigorous vetting process. For Best Startup Story, this accreditation is a powerful marker of trust and institutional credibility. As social media advertising continues to expand in the region, having NMA-approved status positions the platform as a reliable, compliant partner for businesses seeking to amplify their presence through verified media channels.

Benefits for Clients and Partners
For Startups, Entrepreneurs, and businesses looking to tell their stories, this license opens the door to a new level of professional media service. Advertisers and brand partners can now engage with Best Startup Story with full confidence that their campaigns are managed by a licensed, legally recognized media entity. The platform’s approval by the NMA means clients benefit from transparent, accountable, and regulation-compliant digital advertising — minimizing risk while maximizing reach.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

“Receiving this license from the National Media Authority is more than a regulatory milestone — it is a declaration of our commitment to building a media platform that startups and businesses can trust. We believe the best stories deserve the most credible stages, and now we have one officially recognized by the UAE government. Our goal is to grow responsibly and continue championing the voices of innovators across the region and beyond.”
— Inder Singh, Best Startup Story (Founder)

New agentic tool from Omnicom Media’s influencer marketing arm leverages Google’s advanced models, including GeminiVeo and Nano Banana, to add post-production editing to Creo’s suite of AI-powered creator discovery, briefing and vetting tools

Creo, the influencer marketing arm of Omnicom Media announced a collaboration with Google Cloud to transform the content creator lifecycle. This partnership introduces advanced post-production editing capabilities to Creo’s suite of AI-powered tools, drastically reducing the time and cost associated with brand compliance in influencer channels.

By integrating Google Cloud’s generative AI, Creo is evolving its Content Vetting Agent from a diagnostic tool into a proactive editing solution. Built on Google Cloud’s Gemini Enterprise Agent Platform, the tool now leverages the multimodal power of Gemini and Veo to analyze and instantly modify creator content.

As brands scale influencer investments, ensuring content meets strict brand standards has become more complex and time-consuming, with traditional manual review processes slowing production times and limiting scalability. This new capability addresses that challenge by combining Gemini Enterprise and its advanced AI models from Google with Creo’s proprietary influencer marketing platform to enable automated content analysis, real-time feedback, and seamless editing at the touch of a button.

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

“This is a breakthrough moment for influencer marketing,” said Kevin Blazaitis, President, Creo. “For the first time, we’re not just identifying issues in creator content – we’re resolving them instantly, enabling our clients to move at the speed of culture while maintaining control and compliance.”

This first-mover capability represents the latest advancement in Creo’s suite of AI-powered tools designed to accelerate the full creator lifecycle from discovery to activation. In addition to the Content Vetting Agent, the suite also includes the Creator Discovery Agent, which surfaces and vets creators aligned to brand objectives and the Creator Briefing Agent, which analyzes creator submissions against bespoke brand suitability guidelines and Creo best practices.

How It Works

Creo’s Content Vetting Agent – enabled by Gemini –  evaluates submitted content, assigns a suitability score, and flags specific issues – such as the presence of restricted items (e.g., an alcoholic beverage in the background that violates brand guidelines).

With the new enhancement, Creo takes this process a step further, enabling light-touch, non-substantive edits in real time—such as removing restricted objects, blurring logos, or adjusting wardrobe elements (e.g., changing a competitor’s brand color to a neutral alternative).

For regulated industries such as alcohol and gambling, the tool also ensures adherence to bespoke requirements, including persistent visibility of disclaimers like “Age 21+.”

Edited content is returned to creators within minutes for final approval, eliminating the need for costly and time-intensive reshoots while preserving the integrity of the creator’s original storytelling.

“This collaboration with Creo brings our latest AI models directly into the creator workflow,” said Tarun Rathnam, Director of AI & Cloud for Marketing at Google Cloud. “The integration empowers brands and creators to collaborate at the speed of culture, unlocking faster, higher-quality content production and near-instant automated refinements at scale.”

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

Delivering Measurable Impact for Clients

The new capability delivers tangible benefits across cost, speed, and quality:

• Better Content: AI-driven screening using Gemini ensures alignment with brand, legal, and compliance standards, catching details that human review may miss.
• Faster Turnaround: Reduces content review and approval timelines by two-to-three days, with same-day turnaround now possible.
• Lower Production Costs: Eliminates additional creator revision fees, reshoot and  editing costs.
• Operational Efficiency: Reduced time spent on manual review and coordination.

The capability is currently available in the United States, with global expansion planned in Q3.

__________

Hi Jana, take us through your time in martech and your role at Cognitiv?

I’ve spent more than two decades at the forefront of advertising innovation. First helping lead the adoption of programmatic across EMEA during its early emergence, launching programmatic at Spotify, to now helping marketers access AI-driven solutions to scale growth. I joined Cognitiv 8 years ago, at the time we were an early player in the deep learning space, with fewer than 10 employees. Joining a start-up is always a gamble, but I felt confident in the technology and the founding team and saw it as a rare opportunity to learn about AI.

Today as SVP of Partnerships, I focus on redefining how brands and media companies leverage deep learning AI to drive performance. In a media landscape that’s more complex than ever, that means building strategic partnerships that help publishers unlock new revenue streams while enabling brands to engage consumers in more meaningful, data-driven ways. I have developed strategic partnerships with major SSPs and DSPs to bring the industry’s most advanced AI-driven curation to media buyers.

We’d love to learn more about your new enhancement, AudienceGPT. Why should marketers pay attention to it?

AudienceGPT is a fundamental shift from reactive audience targeting to predictive, intelligence-driven marketing.

Traditionally, audience segmentation was manual, time consuming, static, and relied on outdated signals like clicks or page visits that didn’t tell you much about the actual stage of the journey a consumer was in.

AudienceGPT solves this by using Cognitiv’s deep learning advertising platform to develop synthetic consumer journey profiles that can then be found programmatically. The result is a more adaptive, predictive approach to audience strategy that aligns media delivery with true consumer intent. Audiences can be activated across web, CTV, social, and audio, meeting advertisers where they are.

Modern marketers manage different types of data and workflows today. What top best practices come to mind for those looking to optimize how they clean and use data to power better outcomes and customer journeys?

During my time at Cognitiv, I’ve evaluated probably 100 data providers across contextual, attention, measurement, and audience segments, so I’ve seen a wide range in data quality and approaches.

A few best practices really stand out. First is understanding the origin of the data, whether it’s deterministic or modeled. Deterministic data, especially in its raw form, tends to be more reliable and transparent, whereas modeled data can introduce assumptions that aren’t always clear or consistent.

Second is freshness and relevance. Marketers often overlook how frequently data is refreshed. An audience labeled as a “travel intender,” for example, is only as valuable as the recency and signal behind that classification. You have to ask: what behaviors actually qualified this user, and how recent were they?

Finally, validation is critical. At Cognitiv, we’re fortunate to test data directly by running it through our models offline to see whether it actually improves predictive accuracy. That kind of rigorous testing helps separate data that sounds good in theory from data that truly drives performance.

Ultimately, the best outcomes come from combining transparency, recency, and real-world validation, rather than relying on labels or assumptions alone.

Marketing Technology News: MarTech Interview with Max Groth, CEO at Decentriq

What’s the most exciting thing about how AI is leading to a shift in marketing processes and standards as well as a shift within marketing teams in terms of how teams are structured today?

AI is reshaping marketing in a way that feels very similar to the early days of programmatic, but at a much faster pace.

From a team perspective, the traditional silos between media, data, and analytics are starting to break down. We’re seeing hybrid roles emerge, people who understand both the strategic and technical sides of marketing, and are usually proficient in deploying and working with AI.

From a process standpoint, there’s a tendency to think about AI primarily as workflow automation. And while it can help with that, the bigger opportunity lies in real-time prediction and decisioning. That’s where the biggest performance gains will come from.

Five thoughts on the future of AI and martech?

1. Audience targeting shifts towards moments of intent: The combination of contextual signals, real-time behavior, and understanding of content will outperform audience segments. This goes beyond assigning someone to a segment, to predicting their likelihood to act in that moment based on live inputs.

2. Data quality becomes the true differentiator: The future will be built on better data—deterministic where possible, transparent in methodology, and validated against outcomes.

3. AI shifts from automation to intelligence: Today, AI in marketing is primarily focused on automating execution, not redefining strategy. The next phase will move beyond efficiency gains to deliver real intelligence—powering better decisions rather than just optimizing the manual levers we’ve relied on.

4. Personalization will scale without manual effort: AI will enable truly individualized experiences without the operational complexity that used to limit scale.

5. CTV Moves from awareness to performance: CTV is a great channel for reach and scale but we’ll increasingly see it used as a medium to drive performance. The ones who win in CTV will go beyond content targeting.

Some top martech innovations and martech innovators that you’d like to shout out to in this conversation?

Two martech innovators I want to shout out are Magnite and Index Exchange – specifically Paul Zovighian, VP, Marketplaces at Index Exchange, and Zach Pucci Global, Enterprise Sales at Magnite. Both are helping push real-time curation forward in a way that’s shifting intelligence to the sell side and accelerating innovation across the ecosystem.

Real-time curation turns live data signals into actionable inputs for AI, allowing for accurate, real-time predictions. This drives improved performance for buyers in the moment, not after the fact.

Cognitiv is a leading advanced performance partner powered by deep learning. Leveraging cutting-edge AI technology and data science since 2015 to more accurately predict consumer behavior and understand nuance, Cognitiv connects brands with their customers in more precise, relevant, impactful moments at scale. Cognitiv’s Deep Learning Advertising Platform provides marketers with unprecedented flexibility, activating as a Dynamic Deal run through the DSP of your choice, as a managed service DSP, or through its industry-first ContextGPT product. Cognitiv is on a mission to bring intelligence to advertising.

About Jana Jakovljevic

Jana, SVP of Partnerships at Cognitiv, brings two decades of experience driving innovation across the advertising industry. Before joining Cognitiv, Jana was the Global Head of Programmatic Solutions at Spotify, where she successfully launched the company’s programmatic arm and pioneered the first Private Marketplace (PMP) for audio ads. At Magnite (formerly Rubicon Project), Jana held various management positions, building out international buy-side partnerships and playing a foundational role in the company’s journey from start-up to IPO. Known for landing at companies that are at the forefront of the media landscape, Jana is now focused on leveraging AI to propel the ad industry forward. Her dedication to disruption and passion for constant improvement make her a key agent of change, unafraid to break the status quo in the name of innovation.

Creator Authority, a B2B-focused influencer marketing agency, has joined the LinkedIn Marketing Partner Program, bringing its expertise, proprietary data, and full-service campaign capabilities to help brands leverage LinkedIn’s professional audience.

Creator Authority works with brands including SAP, Notion, Dropbox, HubSpot, Webflow, Upwork, Amazon, and Canva. The agency handles everything from strategy and creative direction to creator sourcing, paid amplification, compliance, and reporting.

The timing reflects a significant market shift. Investment in creator marketing has seen a 171% year-over-year increase, and 61% of B2B marketing leaders plan to increase their creator content spend. According to LinkedIn’s research, 87% of B2B buyers refer to thought leaders when making purchase decisions and 82% say creator content directly influences them.

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

Brendan Gahan, CEO and founder of Creator Authority, said: “We built Creator Authority because we saw what was coming. LinkedIn plays a critical role in B2B buying decisions, and creators are becoming the most trusted voices in that environment. Being part of the LinkedIn Marketing Partner Program means we can help our clients move faster, with better tools and closer collaboration with the platform.”

LinkedIn represents a unique opportunity in B2B marketing. The platform’s audience carries twice the buying power of the average web user. Thought Leader Ads deliver 252% higher CTR than conventional single-image ads. Creator-led campaigns reduce cost-per-lead by 23%. For Fortune 100 brands, creator content generates 20x the Earned Media Value of brand-owned channels.

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

The market is moving fast. Most B2B budgets haven’t caught up. Leading B2B brands are recognizing that success on LinkedIn isn’t about being the loudest voice, it’s about amplifying the right voices.

Jonathan Hunt, VP of HubSpot Media, said: “Creator Authority has been an incredible partner. They’ve helped HubSpot Media uncover emerging creator opportunities on LinkedIn and maximize those relationships. Their understanding of the space is unmatched, and their ability to turn that insight into a smart, scalable strategy is why we work with them.”

New workflow combines Discussions, Discovery, and SEO Radar to help growth teams prioritize what to read, reply to, and escalate

SignalMelo announced the launch of its social listening and social media monitoring platform designed for growth, marketing, community, and demand generation teams. Instead of adding more alerts to already crowded dashboards, SignalMelo is built to help teams prioritize high-intent conversations and move from scattered inputs to clear, assignable action in a weekly operating rhythm.

At most companies, listening is not the problem—decision-making is.”

— Carter, Founder of SignalMelo.

As social channels, communities, and search behaviors continue to fragment, many teams face a familiar challenge: they can see more than ever, but still struggle to decide what matters first. SignalMelo addresses that gap with a unified workflow that organizes signal inputs into one prioritized queue, so teams can align faster and execute with less context switching.

“Teams can track mentions across multiple channels and still walk into Monday meetings without clarity on what to answer now, what to monitor, and what to defer. We built SignalMelo so listening ends with a shortlist someone can own,” Carter added.

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

SignalMelo is structured around three core workspaces:
● Discussions: surfaces and ranks community and social threads worth immediate attention.
● Discovery: brings short-form and visual-channel signals into the same decision loop.
● SEO Radar: adds search-demand context so social signals and search intent can be evaluated together, not in separate silos.

By connecting these inputs in one workflow, teams can reduce tab sprawl, improve handoffs, and make weekly reviews more action-oriented. The platform is designed to support practical operating questions such as: Which conversations should we respond to this week? Which opportunities can influence pipeline or positioning? Who owns follow-through?

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

SignalMelo’s launch comes as growth teams increasingly seek alternatives to disconnected tool stacks that prioritize raw monitoring volume over execution clarity. In many organizations, social listening output still depends on manual reconciliation across spreadsheets, exports, and alerts. SignalMelo aims to replace that pattern with an opinionated model centered on prioritization, ownership, and repeatability.

The platform is available via monthly, credit-based plans, including Free, Starter, Pro, and VIP tiers, allowing teams to start with lightweight usage and scale as analysis volume increases. Current plan details, credits, and project limits are listed on the company’s Pricing page.

SignalMelo also positions itself as a cross-functional workflow layer—not just a reporting interface. Marketing teams can identify message angles and response opportunities, community teams can route time-sensitive threads, and product or product marketing teams can connect qualitative conversation signals with roadmap and positioning decisions. By framing social listening as a decision system rather than a passive feed, the company believes teams can increase responsiveness without increasing operational chaos.

According to usage indicators currently displayed on the SignalMelo website, the platform has already processed significant listening volume and surfaced a substantial number of reply opportunities, signaling demand for tools that convert signal visibility into clear action paths.
In addition to core workspace capabilities, SignalMelo emphasizes operational usability for teams that need consistent cadence. The product experience is designed to help users move from setup to first actionable shortlist quickly, then maintain a repeatable rhythm week over week. This focus reflects the company’s view that long-term value in listening does not come from one-time insight, but from disciplined execution over time.

“We care less about proving that everything can be monitored, and more about helping teams finish the loop,” Carter added. “If a workflow cannot reliably produce owner-ready priorities by the end of a weekly review, it is not solving the real problem.”

SignalMelo is now publicly available. Teams can explore product workflows, comparisons, and pricing at the company website.

GeeLark, a provider of cloud-based mobile environments for social media and e-commerce teams, today announced the launch of Android 16 cloud phones, bringing the latest mobile OS into a scalable, cloud-native infrastructure.

The update is designed to help teams improve compatibility with rapidly evolving mobile platforms while managing multiple accounts more efficiently.

Supporting a Shift Toward Mobile-First Operations

As social media platforms continue prioritizing mobile-native behavior, many teams still rely on desktop tools or outdated emulation environments to manage accounts at scale. This gap can lead to operational inefficiencies and compatibility challenges.

By introducing Android 16 into, GeeLark enables users to operate within environments that more closely reflect real mobile devices—aligning workflows with how modern platforms are designed and updated.

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

Key Capabilities

GeeLark’s Android 16 cloud phones are supported by a set of integrated automation and control tools:

• Android 16 Cloud Environments
  Provide improved compatibility with the latest updates across platforms such as TikTok, Instagram, and WhatsApp.

• RPA Automation
  Streamlines repetitive workflows, including content publishing and routine engagement actions, within native Android environments.

• Synchronizer
  Enables users to manage and control multiple cloud phones simultaneously from a single interface.

• API Integration
  Allows enterprises to build customized workflows by integrating cloud-phone automation into internal systems.

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

From Fragmented Tools to Unified Execution

GeeLark’s platform is designed to consolidate previously fragmented workflows—ranging from account management to content distribution—into a single environment.

In addition to automation capabilities, GeeLark supports content workflows through integrated AI tools, enabling teams to move from asset creation to execution without switching platforms.

Enabling Scalable and Consistent Operations

By combining up-to-date mobile environments with automation tools, GeeLark aims to reduce operational complexity for teams managing multiple accounts across regions and platforms.

The company positions its Android 16 cloud phones as part of a broader effort to provide infrastructure that supports scalable, consistent, and mobile-aligned operations.