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PubMatic Brings Custom Creative Formats to AgenticOS: Creative, Planning, and Execution Run as One Workflow

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PubMatic Brings Custom Creative Formats to AgenticOS: Creative, Planning, and Execution Run as One Workflow

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Marketers can brief, buy, and measure creative cross-screen campaigns across premium CTV, mobile, and more in a single access point. Horizon Media, SlingTV, Crossmedia, and Kelly Scott Madison join as launch partners.

PubMatic , the leading AI-powered ad tech company delivering digital advertising performance, announced the integration of its Creative Innovation Suite across its AgenticOS platform, giving marketers access to custom, engagement-driven ad formats across premium CTV, mobile app, and more.

“The Creative Innovation Suite changes that. Custom creative, agentic deployment, unified measurement, it’s all one conversation now, with one partner.”

audiences don’t choose between screens. They’re on CTV and mobile simultaneously, and the most effective advertising has to reach them on both, with creative built for each environment. For years, doing that meant managing separate creative vendors, media planners, and buying platforms, a fragmentation that added cost, slowed execution, and made unified measurement nearly impossible. In this integration, creative assets are built by PubMatic’s creative technology partners: Celtra for pause ads and interactive formats, Brightline for advanced CTV units, and KERV for AI-powered interactive and shoppable video experiences that connect content context to commerce at the frame level. Campaigns are then deployed and optimized agentically through AgenticOS, bringing the creative sophistication the moment demands and the operational simplicity to execute it at scale in a single platform.

New Formats, Without New Complexity

Creative formats are emerging as a defining factor in CTV and mobile advertising. According to eMarketer research, pause ads are rated the most effective CTV ad format, with 51% of viewers taking action after exposure. Yet accessing these formats at scale and within the same campaign has meant assembling multiple vendors, fragmenting measurement, and absorbing compounding costs.

PubMatic’s Creative Innovation Suite solves this by providing a unified execution layer for high-impact creative formats. Rather than automating creative creation, the suite centralizes access to premium, custom formats — built by expert creative partners — and combines them with agentic deployment, optimization, and measurement inside a single workflow. Formats that once required separate vendor relationships, isolated performance tracking, and distinct budget negotiations can now be planned, activated, and measured through one platform.

“At Horizon, we’re building for where the industry is going by focusing on open, interoperable ecosystems that help teams make faster, smarter decisions. Bringing custom creative and agentic deployment into a single platform is not just about efficiency, it changes how advertisers connect with people in real time. PubMatic’s Creative Innovation Suite within AgenticOS stands out because it delivers this in a practical, scalable way that drives real, measurable growth for our clients.” — John Koenigsberg, EVP Product Partnerships, Horizon Media

Through the Creative Innovation Suite, marketers can access formats including:

Pause Ads — High-attention ad experiences triggered when a viewer pauses on-demand or streaming content, reaching audiences at a moment of zero content competition.

Interactive CTV Ad Units — Engagement-driven formats designed for premium streaming environments and optimized for brand awareness during natural content breaks.

Click to Cart — PubMatic’s proprietary mobile ad experience that lets consumers add a product to their cart with a single tap, completing the purchase journey inside the ad itself — without leaving the app. Available exclusively through PubMatic.

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These formats and more are accessible across PubMatic’s premium publisher network — which includes 28 of the top 30 streaming services, such as launch partner DISH Media’s SlingTV.

“Sling viewers tune in with purpose — for live sports and other premium programming, all on their terms. They deserve advertising that meets that level of intention. Having our inventory accessible through PubMatic’s Creative Innovation Suite means buyers can now activate engaging, custom creative formats against our audiences that go well beyond the standard ad experience — and do it without the complexity that has historically made those formats out of reach.” — Liam Kristinnsson, Head of Programmatic & Strategy, SlingTV / DISH Media

From Approval to Live Campaign — In Plain Language

Once the high-impact creative enters AgenticOS, through a natural language prompt a marketer could instruct the platform: “Run an interactive CTV campaign against live sports inventory for the FIFA World Cup. Target sports apparel buyers and soccer fans, adults 18 to 45. Then retarget those audiences with a Click to Cart unit on mobile.” AgenticOS handles the rest — inventory, targeting, deployment, and cross-screen sequencing — as a single workflow. Dedicated agents work in real time to identify the best placements, most competitive CPMs, and optimal working media mix as the campaign runs.

Because everything runs through AgenticOS, creative performance, media delivery, and audience data live in one place. Pause ad engagement, CTV completion rates, and Click to Cart conversions are transparent in a unified view — and changes happen in plain language without leaving the platform. Simple prompts: shift budget, extend a retargeting window, add a format.

“Every agency we talk to has innovative formats on their roadmap and operational fragmentation as their reason for not executing them. The Creative Innovation Suite changes that. Custom creative, agentic deployment, unified measurement, it’s all one conversation now, with one partner.” — Bill McLaughlin, SVP Advertiser Solutions, PubMatic

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“Audiences aren’t choosing between CTV and mobile — they’re on both at once, all the time. Cross-screen advertising has to reflect that reality, but the operational fragmentation across planning, creative, and buying has always made that harder than it should be. PubMatic’s Creative Innovation Suite within AgenticOS is the closest thing I’ve seen to actually solving that. Custom formats, agentic deployment, unified measurement — through a single partner. That’s what modern cross-screen execution should look like, and it hasn’t existed until now.” — Justin Scarborough, Head of Programmatic, Crossmedia

“At KSM, the future of programmatic isn’t fragmented – it’s intelligent, unified, and provides precision, relevant creative for every audience. The convergence of custom formats and agentic execution within a single platform marks a turning point for the industry. By removing the complexity of traditional workflows, we can build, activate, and optimize campaigns across CTV and mobile with unprecedented speed and precision. With PubMatic’s Creative Innovation Suite within AgenticOS, we’re not preparing for that future, we’re already delivering it.” — Ashley Hutchings, VP, Head of Digital & Partnerships, Kelly Scott Madison

Built for This – AgenticOS at Scale

The Creative Innovation Suite runs on infrastructure built for exactly this kind of execution. AgenticOS is the industry’s first operating system for agentic advertising — giving agents direct access to more than 100,000 sites and apps, top streaming services, and 250 data partners, with direct buying inside the SSP. No additional integrations or protocol adoption required. In the first campaigns run end-to-end on the platform, marketers saw up to 82% reductions in by-side fees and more than 90% time savings in campaign setup, while consistently exceeding performance KPIs. For marketers, that translates directly to what matters most: less time and money lost to operational overhead, full visibility into where working media is going and what it’s doing, and performance that consistently exceeds campaign KPIs. All of it runs on fully owned infrastructure, not rented cloud space, leveraging GPU architecture designed for the speed and reliability of agentic execution demands.

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MiQ Report Studying 53 Million Households Shows the Traditional Path to Purchase is Dead

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Business Wire
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MiQ Report Studying 53 Million Households Shows the Traditional Path to Purchase is Dead

87% of consumers switch between screens every hour. Marketers must rethink the funnel.

The century-old traditional marketing funnel is proving to be a model that no longer reflects how consumers actually behave. New global research from MiQ, a leading programmatic media company, finds that 87% of consumers switch between digital activities at least once an hour. They move in rapid and often unpredictable ways, with 42% saying their path to purchase feels entirely random.

“Couches have become the new storefronts as consumers move from screen to screen, almost in the same breath,” said Jordan Bitterman, Global Chief Marketing Officer, MiQ.

MiQ’s proprietary analysis of 53 million households, conducted through its Sigma platform and supplemented through a commissioned study by Censuswide of over 4,000 consumers and 600 marketing professionals, has yielded From Funnel to Flexibility. This global report suggests that marketers must plan, measure, and optimize media differently than they have in the past.

The formerly separate states of watching, browsing and buying are often blurring together: 91% of consumers use a second device while watching TV and 69% say they discover brands they like even when they’re not actively shopping. These findings offer proof that so-called ‘passive’ moments are commercially significant, not dead time.

AI tools and social platforms now act as accelerants. Forty-five percent of consumers already use AI chatbots when shopping, an incredible figure considering these technologies were barely used by the masses just two years ago. Seventy-two percent of consumers under 34 have made a purchase inside a social app — an entire journey completed without switching screens, and a clear signal that marketers must meet consumers wherever those moments occur.

“Couches have become the new storefronts as consumers move from screen to screen, almost in the same breath,” said Jordan Bitterman, Global Chief Marketing Officer, MiQ. “Today, a full customer journey can conceivably take place in hours or minutes, instead of weeks or days. To keep up, marketers must shift from rigid funnels to flexible frameworks. This isn’t just a planning shift for marketers, but a mandate for the adtech industry to move beyond channel silos toward systems that unify data, intelligence, and activation, so every investment is accountable to both brand and business outcomes.”

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Yet consumer behavior has outpaced how most marketers operate. Seventy-one percent of consumers say they get distracted mid-research and only return to a purchase when prompted, turning retargeting into a structural challenge that many teams and toolsets aren’t built to handle. At the same time, just 43% of marketers feel confident in their measurement, with fragmented screens and supply paths emerging as core blockers, which are gaps that From funnel to flexibility calls out as urgent priorities for change.

“The funnel was built for a world where the customer journey is linear. Today a consumer can see an ad on CTV, price-check the product on their phone, and buy it on social – all before the next commercial break,” said Moe Chughtai, Global VP of Strategy & Partnerships, MiQ. “With Sigma and our Advanced Media Solutions, we’re giving clients one intelligence layer to orchestrate every screen and signal with the data depth, AI, and transparency modern marketers expect so every impression truly counts.”

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Sigma, MiQ’s award-winning AI-powered advertising technology, brings order to today’s dynamic consumer journeys and empowers marketers to reach them everywhere they are. In the past 12 months, MiQ has run more than 13,000 campaigns from over 1,200 advertisers — across the open web and the largest walled gardens.

Over that time, Sigma has delivered double-digit gains in reach, efficiency and speed across CPG, retail, travel and political campaigns, while driving triple-digit conversion performance improvement in categories like media & entertainment and automotive. Some clients have seen 8x more conversions and more than 50% lower CPAs versus standard programmatic approaches.

From Funnel to Flexibility Report Methodology

In December 2025 and January 2026, MiQ fielded two surveys and utilized data from its Sigma platform:

  • Consumer survey. More than 4,000 consumers ages 18+. Report participants were split evenly across Australia, Canada, the UK and the US, and were asked about current viewing and buying habits – from how they consume media, to how they make decisions about what to buy, and when.
  • Advertiser survey. 600 marketing professionals across the same regions were asked about which factors describe their experience with standard retargeting campaigns.
  • Proprietary Sigma data. The report tapped 700 trillion signals to analyse 53 million distinct households over seven days in January 2026. MiQ analyzed how many devices an individual consumer used in a single household, how often someone used two devices within 30 minutes, and their transition times at regular intervals.

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Foxit Brings End-to-End Document Workflows into ChatGPT, Closing the Gap Between AI Output and Finished Documents

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Foxit, a leading provider of PDF and document intelligence solutions, announced the launch of its PDF Editor app inside ChatGPT, enabling users to complete full document workflows directly within the AI environment, from creation and organizing through to optimization, sharing, and lifecycle management.

AI is becoming the primary workspace but document workflows are lagging behind

The launch comes as tools like ChatGPT rapidly evolve from assistive technologies into central workspaces. Increasingly, professionals are drafting reports, analyzing data, and collaborating on ideas inside AI. Yet despite this shift, document workflows have struggled to keep pace, often requiring users to leave the conversation to format, organize, and prepare files for real-world use.

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New data reveals the hidden “verification burden” in AI workflows

Recent research from Foxit highlights the scale of this disconnect. While 89% of executives say AI boosts productivity, the reality is more nuanced. Once validation time is factored in, executives gain just 16 minutes per week, while end users lose 14 minutes. The findings point to a growing “verification burden,” where time saved generating content is offset by time required to review, fact-check, and prepare documents before they can be shared.

From AI output to finished documents, with a single workflow

Foxit’s PDF Editor app for ChatGPT is designed to close this gap by embedding document workflows directly into the AI experience. Within a single conversation, users can convert files between formats, reorganize and compare documents, extract and analyze content, and optimize PDFs for distribution. The app also extends to the final stages of document work, enabling users to generate shareable links, manage files in cloud storage, and remove documents once work is complete — all without leaving ChatGPT or requiring a Foxit account. Users can invoke Foxit using @mentions within a conversation or let ChatGPT suggest it automatically when a document task arises, making it easy to access capabilities as part of the natural flow of work.

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“AI has shifted where work happens,” said Evan Reiss, SVP of Marketing, Foxit. “You can generate content in seconds, but turning it into something accurate, formatted, and ready to use still takes time. That’s where most productivity is lost. By bringing our document engine into ChatGPT, we’re enabling users to go from initial prompt to finished, shareable document in one place.”

Enabling the next phase of AI-native document work

This approach reflects a broader shift toward what Foxit describes as AI-native document workflows, where intent expressed in natural language can be carried through to completion. Rather than stopping at content generation, users can now produce fully optimized, ready-to-send documents within the same environment. This reduces friction, minimizes manual intervention, and improves overall workflow efficiency.

Built for scale, powered by OpenAI’s ecosystem

The app is built on OpenAI’s Apps SDK, extending Foxit’s existing integrations across enterprise platforms including Salesforce and Jira. Foxit’s PDF technology is already widely deployed across major ecosystems, including Google Chrome, Gmail, and Amazon Kindle, reinforcing its position as a trusted provider of document infrastructure at scale.

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CodeRabbit Launches Slack Agent, a Second Brain for Teams

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New product line extends CodeRabbit’s purpose-built, high-performance context engine from AI code review into Slack, where engineering teams already plan, debug, and ship. One agent for your entire SDLC.

CodeRabbit, the pioneer in AI code review, announced CodeRabbit Agent, a second brain for engineering teams. CodeRabbit Agent is a single agent for the entire software development lifecycle. Built on the context engine that already runs two million code reviews a week across 15,000 engineering teams, the Agent helps teams move from individual productivity to team-level productivity, right inside the workspace where they already plan, debug, and ship.

CodeRabbit, the pioneer in AI code review, announced CodeRabbit Agent, a second brain for engineering teams. CodeRabbit Agent is a single agent for the entire software development lifecycle.

One Agent for the Agentic SDLC

AI has accelerated individual software development. Writing code, fixing bugs, generating tests: developers feel the speedup every day. Software engineering, the work of moving an idea through planning, requirements, design, coding, testing, deployment, and maintenance, hasn’t moved at the same pace. Each phase runs on a different tool and uses a different agent. None of them talks to each other. What one engineer figures out in coding doesn’t show up in testing. What the team decided in design gets lost by the time deployment rolls around.

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CodeRabbit Agent is one agent across all seven phases of the SDLC. It carries context and decisions from one phase to the next, so the team’s collective knowledge compounds across the lifecycle instead of resetting at every handoff.

“Every engineering team is adopting AI, and individual software development is faster than ever. What leaders keep telling us is that software engineering the full SDLC is still slow, because three things are missing from today’s tools: placement inside the workspace where engineering collaboration already happens, an explainable record of what the agent actually did, and cost attribution that matches how teams are organized. CodeRabbit Agent brings all three into Slack, as one agent for the entire SDLC,” said Harjot Gill, Co-founder and CEO of CodeRabbit.

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An Engineering Team’s Second Brain

CodeRabbit Agent operates across the full SDLC, turning the decisions, patterns, and know-how that usually stay locked in one engineer’s head into durable knowledge the whole team can draw on at any phase.

Built for Agentic SDLC Workflows

CodeRabbit Agent is organized around four capabilities that map to how engineering teams actually operate across the SDLC: context, memory, team collaboration, and governance.

Context: The agent connects to the tools engineering teams already run on: code (GitHub, GitLab, Bitbucket, Azure DevOps), tickets (Jira, Linear), documentation (Notion, Confluence, internal runbooks), monitoring (Datadog, PostHog, Sentry), and cloud (AWS, GCP). That context shapes every agent run, and the decisions the agent makes along the way feed back into team knowledge.

Memory: The agent builds a continuously updated knowledge base from everything happening across Slack and your systems. Decisions, fixes, patterns, and conversations are captured as they happen, and refined through everyday use, so the agent always reflects how your team actually works.

Team collaboration: The agent works in a shared thread alongside your team. Anyone can guide, contribute, and move tasks forward. It learns from team conversations and stays aligned as work evolves.

Governance: Access, knowledge, and spend, scoped to the channel and user. Every run is explainable and attributed, so you see what the agent did, for whom, and what it cost.

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Tredence Brings Enterprise AI to Action with Google Cloud’s Gemini-Powered Agentic Accelerators

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Tredence Brings Enterprise AI to Action with Google Cloud's Gemini-Powered Agentic Accelerators

From data modernization to autonomous decision-making, Tredence and Google Cloud bring a full-stack approach to scaling Agentic AI in the enterprise

Tredence, the world’s leading data science and AI solutions company, announced the launch of its suite of Agentic AI accelerators, developed in close collaboration with Google Cloud and Tredence’s global customer base. These ready-to-deploy accelerators are pre-built, industry-specific AI solutions that will help enterprises bypass lengthy development cycles, enabling them to rapidly deploy proven use cases, integrate with existing data and workflows, and move from experimentation to measurable business outcomes at scale.

The suite includes solutions that accelerate data modernization by simplifying migration from legacy systems and unifying fragmented data into a governed, AI-ready Data foundation thus reducing time, cost, and complexity.

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Built on that foundation, purpose-built AI agents work alongside people across the functional areas organizations rely on most, helping teams sense, decide, and act in real time.

In supply chain, this means replacing siloed tools with a single AI-driven decision layer that delivers real-time visibility, stronger coordination, and faster response across operations.

For customer-facing functions, enterprises can anticipate needs, personalize interactions at scale, and turn every customer touchpoint into measurable business impact.

At the core, a unified intelligence layer brings these capabilities together, where AI agents operate as digital co-workers, collaborating, reasoning, and executing decisions to drive faster, scalable enterprise outcomes.

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“The gap between enterprises that lead and those that lag will come down to how quickly they operationalize Agentic AI,” said Sumit Mehra, Co-Founder and Chief Technology Officer at Tredence. “With Google Cloud, we’re bringing together the power of Gemini Enterprise with solutions we’ve already tested in real-world environments. At Tredence, we don’t just build with Gemini Enterprise, we run on it. It is our trusted LLM across functions and teams, deployed at scale across our own organization. That firsthand experience is what allows our customers to move beyond pilots and actually scale AI by embedding it into day-to-day decisions and delivering outcomes they can measure.”

In FY25, Tredence delivered large-scale, measurable transformation across global retail in partnership with Google Cloud, spanning dozens of strategic accounts across four continents. From executing one of the largest cloud migrations in retail history—moving massive, complex data environments with zero disruption, to modernizing core platforms ahead of schedule, Tredence helped enterprises reduce total cost of ownership by up to 40% .

For a Fortune 500 global company, Tredence deployed Gemini Enterprise, Vertex AI, and BigQuery as the foundation of a complete Data and AI platform modernization, replacing a fragmented legacy environment with a unified, intelligent platform that powers hyper-personalized customer experiences, AI-driven product innovation, and smarter decision-making across the workforce.

Building on this foundation, Tredence accelerated enterprise AI adoption by deploying advanced AI and multi-agent systems on Vertex AI, Gemini Enterprise and Gemini Enterprise for Customer Experience, automating up to 98% of manual processes, reducing operational effort by up to 70%, and compressing deployment timelines from months to weeks.

“The impact has been global and cross-functional, from unifying supply chain intelligence across thousands of stores to rapidly launching full-scale agentic platforms, this demonstrates how the Tredence–Google Cloud partnership translates AI ambition into real, scalable business outcomes,” said Rakesh Sancheti, Chief Growth Officer at Tredence.

Unveiled at Google Cloud Next ’26, the suite represents a major milestone in the Tredence and Google Cloud partnership. This new suite of Agentic AI accelerators directly addresses the ‘Last Mile’ challenge faced by companies, by combining Tredence’s deep industry expertise with Google Cloud’s full enterprise AI stack—including Gemini Enterprise, Gemini for Customer Experience, Vertex AI and BigQuery.

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Hosted.com® Examines Impact of DDoS Attacks and AI Traffic on Websites

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Hosted.com® Examines Impact of DDoS Attacks and AI Traffic on Websites

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Hosted.com® highlights how evolving DDoS threats and AI-driven traffic are influencing website stability and resource management for SMEs.

Hosted.com® looks at how targeted malicious traffic attacks and the increasing number of automated requests made by AI crawlers are affecting websites. Focusing on performance, uptime, and resource allocations, and how to prevent them. These changes in traffic patterns have introduced new complexities for website and server resource management for small businesses.

Managing traffic has become more complex as AI bots generate a huge amount of activity on many websites. This raises new issues in monitoring, filtering harmful requests, and maintaining performance.”

— Wayne Diamond

AI Bots and Data Scraping

Hosted.com® reports that automated traffic is no longer limited to traditional botnets. Advances in AI have enabled more sophisticated automated systems capable of generating traffic and requests that appear legitimate. This makes detection more difficult and increases the chances of hosting server strain, affecting site performance.

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One of the main contributing factors is data scraping. AI crawlers and bots access websites to gather content for large datasets to train their respective AI models, potentially generating sustained traffic while making requests similar to those of human visitors, but at much higher volumes and speeds.
While not necessarily malicious, this consumes a large amount of bandwidth, memory, and processing resources, producing effects similar to targeted Denial-of-Service (DoS) attacks.

Distributed Denial-of-Service (DDoS) Attacks

At the same time, DDoS attacks, the upgraded version of DoS attacks, continue to pose a threat to online businesses by overwhelming servers with high volumes of requests from bots and scripts distributed across networks of different IP addresses, making them harder to prevent.

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These attacks can lead to slower performance and downtime, particularly when dedicated mitigation tools and systems are not in place
Hosted.com® notes that for SMEs, the impact of these trends extends beyond security. Maintaining consistent uptime and responsiveness requires a Web Hosting infrastructure capable of handling both legitimate traffic spikes and high volumes of automated requests.

Wayne Diamond, CEO of Hosted.com®, said: “Managing traffic, harmful or otherwise, has become more complicated, with AI bots now accounting for a large amount of activity for many websites. This introduces new considerations for how we monitor patterns, filter harmful requests, and help clients’ websites maintain consistent uptime and loading speeds.

Preventing and Mitigating Harmful Traffic

To help prevent and mitigate these issues, Hosted.com® uses multiple methods to manage traffic and identify potentially harmful activity.
CageFS software creates isolated containers, allowing each site to run in a separate environment at the server level. This approach helps limit the spread of performance issues caused by traffic spikes or targeted attacks, reducing the chance that harmful activity affecting one site will affect others. It also allows for more controlled allocation of resources during periods of increased demand.
Additional security features include firewalls, filtering systems, and malware detection designed to identify suspicious activity and intercept potentially harmful requests before they affect sites.

Hosted.com® also emphasizes the role of infrastructure optimization in addressing traffic-related challenges. Server configurations that support efficient handling of database queries and requests can help reduce response times, even when traffic levels fluctuate, helping maintain stable performance.
The company indicates that as automated traffic continues to evolve, businesses will need to adopt more adaptive approaches to traffic management. This includes monitoring tools capable of distinguishing between different traffic sources and systems designed to maintain service continuity under varying conditions.

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Iterable Unveils Nova Agent and a New Wave of AI Innovations to Power Real-Time Personalization and Predictable Growth

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Iterable Unveils Nova Agent and a New Wave of AI Innovations to Power Real-Time Personalization and Predictable Growth

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New AI agent, audience activation capabilities and Command Center help marketers deliver more relevant experiences, optimize performance, and maintain trust across channels

Iterable, the AI customer engagement platform, announced Nova Agent, an AI agent built to act on customer behavior in real time, alongside a new wave of AI capabilities that enable marketers to optimize campaigns, activate high-value audiences, and drive stronger performance across every channel.

AI is changing how people discover, evaluate, and engage with brands, making their behavior more dynamic, immediate, and harder than ever to anticipate. But most marketing teams are still operating with workflows built for a different era, where campaigns are planned months in advance, customer journeys follow predictable paths, and data is analyzed after the fact rather than in the moment. That disconnect is widening the gap between what customers expect and what most brands can deliver.

Nova Agent works to close that gap, enabling a more efficient way of operating by orchestrating AI agents to build, audit, personalize, and optimize marketing in real time so teams can ship more experiments and improvements without adding headcount.

Paired with capabilities like Iterable’s Unknown User Activation and Google Ads integration, it helps marketers capture more value from existing traffic, engage high-intent users at the right moment, and reduce wasted spend. The result is a more disciplined, goal-driven marketing engine that scales relevance, improves conversion, and drives growth through better efficiency and smarter use of budget.

“Marketing teams can’t keep up with today’s customer behavior using yesterday’s workflows,” said Priya Gill, chief marketing officer at Iterable. “Success in this new landscape starts with a shift to real-time decisioning—where every signal can be acted on immediately, and every interaction evolves with the customer. Iterable’s latest innovations deliver a true advantage in speed and intelligence—and a much-needed upgrade in how teams execute, learn, and grow.”

Turning Real-Time Signals Into Action at Scale

As AI-driven feeds decide more of what customers see, relevance has become a moving target. Targets shift mid-flight, expectations spike, and the classic “plan, launch, then analyze later” playbook collapses under real-time pressure. That’s when journeys that were once personalized and precise quickly blur into broad, generic messaging as programs scale, forcing teams to crank up volume just to keep performance from slipping.

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For marketers, Nova Agent is the difference between chasing performance and compounding it. It continuously tunes engagement in real time so messages stay context-aware, specific, and effective as programs and audiences grow.

“What excites me most about Nova Agent is how it simplifies the path from data to action,” said Yvette Rojas, email marketing manager at Joybird, an Iterable customer. “Having a unified AI engine to help with campaign setup and content optimization means we will be able to move much quicker, from testing a new strategy to fully optimizing our customer journeys.”

“What’s most valuable to us about Nova Agent is its ability to handle the manual heavy lifting of campaign execution and analysis, from building onboarding journeys to uncovering performance insights that help us constantly iterate,” said Justin LeBlanc, senior director of customer retention and loyalty at Priceline, an Iterable customer. “By offloading these steps to a coordinated AI layer, we can move much faster from insight to execution and stay focused on driving high engagement.”

Iterable’s Nova Agent is powered by a full suite of new AI capabilities that operate as one unified system for reading customer signals, deciding what should happen next, and activating it across every channel. Together, they give marketers the control to react instantly, optimize continuously, and drive measurable growth with far greater efficiency.

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These new capabilities include:

  • Iterable Command Center: A new centralized view of campaigns, goals, and performance for faster optimization
  • Nova Agent and AI capability suite: Context-aware, goal-driven AI that automatically builds campaigns, audits messages, runs experiments, and delivers deeply personalized engagement to drive relevance at scale
  • Unknown User Activation: Identify and engage high-intent anonymous visitors before they convert
  • Google Ads integration: Sync audiences in real time to reduce wasted spend and align paid and owned channels
  • Compliance and governance tools: SMS Compliance Toolkit and stored message retention to protect deliverability and provide audit-ready records

With Iterable’s new AI capabilities, marketers gain a unified system that connects insight, decisioning, and activation across every channel, so they can move faster, stay consistently relevant, and maintain personalization even as they scale. Together, these innovations bridge the gap between what customers expect and what brands deliver, turning relevance from a fleeting advantage into a durable, compounding engine of growth.

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Consensus Enters into a Definitive Agreement to Acquire Peel to Launch the World’s First AI-Powered Conversational Demo Platform

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Consensus Enters into a Definitive Agreement to Acquire Peel to Launch the World's First AI-Powered Conversational Demo Platform

Transforming demos, content, and product experiences into real-time, deal-moving conversations that qualify, educate, and accelerate revenue

Consensus, the leader in Demo Automation, announced that it has entered into a definitive agreement to acquire Peel, an AI platform that transforms static content into real-time, 2-way conversations between buyers and agents. The acquisition will mark a major evolution in demo automation and buyer enablement, creating the first AI-native platform that can converse, demonstrate, and learn simultaneously across the entire buyer journey. The transaction is expected to close in Q2 2026, subject to customary closing conditions and approvals.

Your buyers want to do their own research on their own time, and they don’t want to wait for traditional B2B sales motions. They want to explore independently, build consensus internally, and experience value before engaging a sales rep. Yet most go-to-market teams still rely on static content, scheduled demos, and disconnected tools that slow deals and create friction across the buying process.

By combining Peel’s AI-powered conversational agents with Consensus’ interactive demos and product tours, companies can now turn websites, videos, presentations, PDFs, and other assets into dynamic, personalized experiences. Every interaction captures zero-party intent, adapts in real time, and moves buyers through the journey, automating discovery, scaling product education, and accelerating deals.

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“AI enables a transformational shift from showing a product through a static demo to letting the product sell itself,” said Doug Johnson, CEO of Consensus. “Buyers don’t want to be guided through a process; they want to explore, ask questions, and build confidence on their own terms. With Peel, every demo, every asset, every interaction becomes a conversation that drives the deal forward. Now, sales is armed with intent data, so they know how to progress the deal. This is what a modern buying experience should feel like.”

Peel’s platform is built around specialized AI agents designed to drive outcomes at every stage of the funnel. Combined with Consensus’ interactive video demos, product tours, and analytics, the platform provides a continuous, buyer-led journey where every interaction informs the next best action. Buyers receive personalized experiences for their role and industry, while revenue teams gain a unified view of engagement across the buying committee.

“Peel was built to make content interactive: to give buyers a way to actually engage, not just consume,” said Brannon Santos, CEO of Peel. “Joining Consensus brings that vision to life at scale. Together, we’re creating a system where products can converse, educate, and move buyers forward, without requiring a meeting or forcing a sales motion.”

“For years, the buyer had to wait. Wait for the demo. Wait for the rep. Wait for an answer to a question they already knew how to ask. That era is over. Now the product speaks for itself. Said Ben Henson, CRO of Peel. “Consensus built the gold standard for how buyers experience a product. Peel taught that product to answer back. Together, we’re building something that has never existed: a buying experience with no waiting room.”

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The combined platform unlocks several strategic advantages for go-to-market teams:

  • Interactive, agent-led buying experiences: Replace static demos and content with real-time conversations that adapt to each buyer
  • Unified buyer intelligence: Capture buyer intent and engagement signals across every interaction
  • Faster deal cycles: Automate discovery, personalize demos, and equip reps with full context
  • Expanded use cases: Support complex industries and high-stakes content with conversational experiences that improve understanding and retention

Customers of both platforms will continue to receive full support and ongoing innovation. Consensus plans to rapidly integrate Peel’s capabilities into its platform, accelerating its product roadmap and expanding its reach across new industries and buyer scenarios.

As AI reshapes how software is evaluated and purchased, Consensus is positioning itself at the forefront of a new category, one where the product experience itself becomes the primary driver of revenue.

This isn’t another GTM tool. It’s a revenue multiplier.

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Mobly Launches First AI-Native Platform That Turns Field & Event Marketing into a Real-Time Revenue Engine

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Mobly Launches First AI-Native Platform That Turns Field & Event Marketing into a Real-Time Revenue Engine

New platform gives B2B teams the system to run in-person like digital, with full visibility from event selection through pipeline impact

Mobly announced the launch of the first AI-native platform built to run the complete lifecycle of field and event marketing. The platform enables B2B revenue teams to find the right events, plan and execute high-performing activations, and convert in-person engagement into pipeline with speed and precision. Now field and event marketers have one connected system to drive measurable outcomes.

For B2B revenue teams, in-person is still the last blind spot. Digital delivers real-time data and clear attribution, while events rely on manual processes, delayed follow-up, and incomplete reporting. The impact is measurable. The average company takes 11 days to send a first follow-up after an event. Reporting is fragmented. Budget decisions repeat without clear performance insight.

Mobly replaces this fragmented, manual process with a single system of record for in-person revenue, bringing real-time visibility, structured data, and automated execution to every in-person customer and prospect interaction.

“We believe human connection is the most powerful signal in business and we’re building the system to capture and scale it,” said Zach Barney, co-founder and CEO of Mobly. “In-person has always been where the highest-value conversations happen, but it has never had the systems to support it and drive measurable pipeline. Now Mobly brings the same level of visibility and accountability to in-person that teams expect from digital.”

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Mobly’s New End-to-End In-Person Revenue Engine

The platform includes five integrated products that map to how field and event teams actually operate:

  • Scout helps teams evaluate which events are worth attending before they commit budget. It provides visibility into who is likely to be there, including industries, target personas, and overall fit with your ideal customer profile. Scout also surfaces practical planning inputs like estimated booth costs and attendee pass pricing, helping teams make more informed, data-aware decisions about where to invest.

  • Host runs and manages every activation in one place, from booths to private dinners. It handles registration, check-in, and attendance tracking, and connects directly to CRM, ensuring full attribution across every touchpoint.

  • Universal Lead Capture enriches, and routes of every in-person interaction in real time. It merges duplicate scans into a single profile, giving sales and marketing a complete view of buyer intent across an event.

  • Pulse automates personalized follow-up generated from real interaction data and sends it within hours, not days. It routes each lead to the right owner and builds accountability directly into the workflow.

  • Insights brings structure and accountability to post-event follow-up. It measures performance against the goals set for each event, giving teams a clear view into lead quality, rep performance, and speed to lead. By showing how quickly teams engage prospects and how consistently follow-up happens, Insights helps revenue teams identify what’s working and where execution needs to improve for the next event.

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Mobly establishes a new operating model for field and event marketing. Every interaction is captured, every action is automated, and every outcome is measured. Teams that adopt early will move faster, follow up sooner, and make better investment decisions with clear visibility into pipeline impact.

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Alteryx Launches AI Insights Agent on Google Cloud Marketplace, Bringing Reliable, Repeatable AI Answers into Gemini Enterprise

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Alteryx Launches AI Insights Agent on Google Cloud Marketplace, Bringing Reliable, Repeatable AI Answers into Gemini Enterprise

New Alteryx AI Insights Agent delivers insights through analyst-defined AI ready datasets and business logic within governed workflows

Alteryx, Inc., an AI-ready data and analytics company, announced the launch of the Alteryx AI Insights Agent, now available on Google Cloud Marketplace, bringing governed analytics directly into Gemini Enterprise. As companies increasingly turn to AI to drive decisions, a critical gap has emerged between speed and trust. While generative AI is reshaping how work gets done, most approaches still fall short in enterprise environments where accuracy, governance, and control are essential. AI-generated responses are often inconsistent with business metrics, difficult to validate, and not aligned with how organizations actually operate. Nearly half of leaders cite high-quality, accessible, and well-governed data as the top factor for agentic AI to reach its full potential, underscoring the gap between AI capability and enterprise readiness.

“At the core of enterprise AI is trust,” said Ben Canning, Chief Product Officer at Alteryx. “When it comes to decisions like pricing, operations, or compliance, accuracy isn’t optional. AI doesn’t just need data — it needs to understand how the business actually works. That means applying defined logic, rules, and context that the people closest to the work understand and continuously evolve. With the AI Insights Agent, we’re bringing that logic directly into Gemini Enterprise, so every answer is consistent, explainable, and ready to drive action.”

The Alteryx AI Insights Agent allows information workers to define governed datasets and business logic within Alteryx One that are executed in response to user queries in Gemini Enterprise. Instead of generating answers from raw or unstructured data, the agent leverages in-place analytics to run predefined workflows directly on data platforms such as BigQuery, ensuring outputs align with business metrics without the need for data movement or manual effort.

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With the Alteryx AI Insights Agent, organizations can:

  • Deliver trusted insights at scale: Consistent answers grounded in enterprise data
  • Enable seamless user experience: Information workers to access insights directly within Gemini Enterprise
  • Encode analyst-driven control: With business logic, definitions, and guardrails into every interaction
  • Maintain enterprise governance: Including auditability, predictability, and control across AI-driven decision-making

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“Bringing AI Insights Agent to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the agent on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Alteryx can now securely scale and support customers on their digital transformation journeys.”

The Alteryx AI Insights Agent delivers faster, more trusted answers within the tools employees love to use. For business analysts and operations teams, it extends the value of their Alteryx investments into AI-driven experiences for everyday decision-making. For IT and data leaders, it provides a path to accelerate AI adoption without compromising trust.

This release builds on Alteryx’s expanding collaboration with Google Cloud, following the introduction of in-place analytics on BigQuery earlier this year. With the addition of the AI Insights Agent for Gemini Enterprise, Alteryx is extending its platform from governed data and workflows into AI-driven environments, with further innovations—including the new Alteryx One: Google Edition, planned for later this year.

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Precisely Brings Governed AI to Customer Communications in EngageOne RapidCX

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Precisely Brings Governed AI to Customer Communications in EngageOne RapidCX

New capabilities combine unified visibility, real-time tracking, and AI to help regulated organizations reduce risk and act with confidence.

Precisely, the global leader in data integrity, announced the latest release of EngageOne™ RapidCX, bringing governed AI to customer communications. The release introduces a unified, real-time view of outbound communications along with a new Next Best Action AI Agent that helps teams identify issues, understand performance, and take the right action—faster and with confidence.

This release builds on previously announced AI agents in RapidCX, adding guided, next best actions for customer communication to content optimization and search. Together, these innovations reflect Precisely’s approach to delivering governed AI that helps teams work more efficiently while maintaining full visibility, control, and compliance.

Organizations today face increasing pressure to deliver timely, accurate, and compliant communications while managing complex systems with limited resources. Many teams still rely on fragmented tools and institutional knowledge, leading to inefficiencies, delays, and increased compliance risk. RapidCX helps address these challenges by providing a unified, real-time view of outbound communications across channels, along with intelligent decision support.

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The latest RapidCX release introduces new capabilities that enable faster, more informed action:

  • Next Best Action Agent: A governed AI capability that analyzes communication performance and recommends the most effective next steps. In this release, the agent supports email communications, with additional channels planned. As with previous AI innovations in  RapidCX, organizations can choose whether to enable it, maintaining full control over how AI is applied.
  • Metrics-Driven Homepage: A redesigned homepage with five core widgets that provide real-time visibility into communication performance and quick access to recent work, helping teams quickly understand what’s happening and take action without relying on external tools.
  • Communication Tracker: A centralized, end-to-end view of outbound communications across channels, including what was sent, when, and how, enabling faster issue resolution and reduced call handling times.

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As organizations adopt AI in regulated environments, transparency and governance remain critical.  RapidCX embeds intelligence directly into workflows, ensuring recommendations are visible, auditable, and aligned with compliance requirements.

“This release of EngageOne RapidCX reflects our AI‑first strategy, combining real‑time visibility with governed intelligence to help organizations move faster without sacrificing control,” said Allan Christian, General Manager of EngageOne products at Precisely. “We’re continuing to deliver capabilities that reduce complexity, improve responsiveness, and enable compliant communications with confidence at enterprise scale.”

This release advances Precisely’s broader strategy of enabling trusted, agentic AI across its portfolio. By combining unified communication visibility with actionable intelligence, RapidCX helps organizations reduce manual effort, improve accuracy, strengthen compliance, and deliver consistent, high‑quality customer experiences.

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BlueConic Launches Agentic Growth Plays, Ending the Era of Customer Data That Goes Nowhere

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BlueConic Launches Agentic Growth Plays, Ending the Era of Customer Data That Goes Nowhere

With Growth Plays and AI Canvas, BlueConic becomes the first customer data platform to use agentic AI to take marketing teams from business goal to live decisioning campaigns without rebuilding their stack.

BlueConic has launched Growth Plays and AI Canvas, giving marketing teams something the martech industry has not delivered: an agentic system that acts on customer data in real time, across every channel simultaneously. The loop from customer signal to revenue is now closed automatically, with no manual assembly or lag between knowing and acting.

The CDP category was built on a compelling promise: unify your customer data, and better marketing will follow. But for most teams, that promise stalled at the insight layer. Knowing who your customers are, what they’ve done, and what they’re likely to do next is valuable, but it doesn’t recover abandoned carts, or prevent churn on its own. The gap between having the data and doing something with it has persisted for years, and it has only widened as channels and customer expectations have grown. Marketing teams end up spending more time configuring tools than actually driving growth.

Growth Plays is BlueConic’s answer to flip that narrative entirely. Instead of handing teams powerful but disconnected capabilities and asking them to figure out the rest, Growth Plays start from the business outcome and teams select from a library of agent-powered use cases built around the growth moments that matter most. From first-purchase acceleration and cart recovery to churn prediction and loyalty progression. Each play comes with a template for data inputs, segmentation, activation logic, and measurement with design agents that help the user configure the play for launch. Run time agents optimize each Growth Play continuously based on real outcomes, so the recoverable revenue that has been slipping through disconnected systems starts coming back.

AI Canvas provides a real-time, visual map of the entire use case: every data signal, every AI-driven decision, every activation, and every measurement point, all in one place. Teams can see exactly how AI is reading customer signals, deciding what action to take, and learning from outcomes. There’s no black box. Marketing teams stay in control of strategy while AI handles the speed and complexity that no human team can manage alone across thousands of customers and dozens of channels simultaneously.

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“The CDP industry spent a decade getting really good at helping marketers know their customers. But knowing was never the finish line. The real question was always: what do you do about it?” said Melissa Murray Bailey, CEO of BlueConic. “Growth Plays and AI Canvas answer that question. For the first time, agentic AI connects the full loop from customer data to real-time decisions to measurable outcomes. We’re not adding AI to a CDP. We’re redefining what a CDP is and is able to do.”

“Every disconnected message you send to a customer who has already converted, or every contradictory offer from channels that don’t talk to each other chips away at the trust that makes a customer want to buy from you at all,” said Mihir Nanavati,GM of Product and Technology at BlueConic. “Growth Plays are built around that reality. You start from the growth moment you care about, and AI builds and optimizes the execution around it. The AI Canvas makes every decision transparent so your team can see what AI is doing, why, and how it’s improving. That combination of AI-driven speed and human-led strategy is what’s been missing.”

The capabilities ship as part of BlueConic’s April 2026 release, with the Growth Plays Launchpad becoming the default experience for new customers from day one, reinforcing from the first interaction that BlueConic is built to drive outcomes, not just organize data. Existing customers will gain access to Growth Plays and AI Canvas through their current environment.

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Salesforce and Google Cloud Enable AI Agents to Act Across Both Platforms with Deep Context and End-to-End Workflows

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Salesforce and Google Cloud Enable AI Agents to Act Across Both Platforms with Deep Context and End-to-End Workflows

Google Cloud and Salesforce announced an expanded partnership that will enable AI agents to execute end-to-end workflows across both platforms by solving the long-standing challenge of fragmented data and disconnected systems. With new integrations across Salesforce and Google Cloud, customers can deploy AI agents in tools like Slack and Google Workspace, while Agentforce and Gemini Enterprise provide the intelligence and context behind the scenes. This allows agents to work across systems, reduces risky data movement, and eliminates time lost to context switching.

Under the expanded partnership, the two companies will also develop new features that will make it simpler for customers to transition from manual oversight to autonomous operations – letting employees collaborate where the work is already happening, and using their tech stack to execute complex workflows. These integrations bring Google Cloud and Salesforce together across every layer of the Agentic Enterprise — the systems of context, work, agency, and engagement that turn raw intelligence into enterprise work.

“Businesses are ready to go all in on agentic AI, and that requires infrastructure and models that can operate across the entire enterprise. Our deepened partnership with Google Cloud gives joint customers exactly that, so they can deploy Agentforce across every part of their business and accelerate their Agentic Enterprise transformation,” said Srini Tallapragada, President and Chief Engineering Officer at Salesforce.

Working where teams already are: Slack, Google Workspace, and Gemini Enterprise
The modern workday is governed by a hidden toggling tax that costs the average employee two hours of productivity every single day. A security escalation surfaces in Slack, context lives in a Google Doc, approvals sit in Salesforce, and stakeholder alignment happens over email. Instead of patching together point solutions, companies can now build an interconnected system of engagement that enables teams to move faster across the business and turn ideas into agentic action, all from the same conversation.

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Key integration features:

  • Slack and Google Workspace: Users can instantly turn any request into polished Google Workspace content simply by asking Slackbot. When prompted, Slackbot will pull relevant Slack and Google Workspace inputs like Slack Threads, Google Slides, Docs, Sheets, or PDFs, structure the information intelligently, and deliver a ready-to-share file, eliminating the gap between finding, creating, and presenting information.
  • Gemini Enterprise in Slack: Gemini Enterprise is directly accessible within Slack, acting as a powerful search and assistant tool capable of accessing connectors and related information from across your apps (e.g., it can summarize a Google Meet transcript alongside a Slack thread).
  • Agentforce Sales in Gemini Enterprise: Agentforce Sales agents can engage leads, create meeting briefs, surface deal risks and guidance, manage pipeline and CRM updates — securely and in real-time — without ever leaving Gemini Enterprise. By automating manual tasks, sellers can focus on relationship building and closing deals.

“At Wayfair, we’re building an Agentic Enterprise — embedding intelligent agents across our operations, from customer service to logistics, to help millions of people create their feeling of home. Salesforce and Google Cloud are key partners as we bring this vision to life,” said Fiona Tan, CTO of Wayfair.

“Our partnership with Salesforce allows customers to securely connect data across both platforms to accelerate business results and build a scalable foundation for the agentic era. With an enterprise-ready Salesforce agent in Gemini Enterprise, customers have a powerful new way to act on their data with speed and confidence,” said Karthik Narain, Chief Product and Business Officer, Google Cloud.

Expanding agentic context: optimized security, deep intelligence & zero-copy data
The backbone of this partnership lies in the system of context – the underlying architecture that connects the world’s most advanced AI models with enterprise-scale data. Salesforce and Google Cloud are making it easier for AI to use all your data right where it lives, so you don’t have to worry about security or costly data migration. From CRM records and customer signals, to Google Workspace activity and BigQuery warehouses, these data connections allow agents to deliver results at scale that were previously out of reach.

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Key advancements:

  • Gemini-powered reasoning for Agentforce: Agentforce natively supports Gemini models via the Atlas Reasoning Engine. This enables Agentforce to ‘see’ across text, image, and video formats, drawing from years of customer history to accurately solve complex problems. This means faster, smarter resolutions, building upon the 1,400+ customers already experiencing success from Gemini within Agentforce to build prompts.
  • Zero copy with Google Lakehouse: Customer data can stay where it is. Agentforce will be able to natively read data from Google Lakehouse, with no copying, moving, or security risk. This means a single compute layer with quality performance no matter how large the dataset gets, building on the Zero Copy technology already trusted by hundreds of customers across Data 360 and Google BigQuery.
  • IDMC expanded governance and multi-source connectivity: Unlock real-time insights (like fraud prevention and predictive marketing) and enforce security guardrails more efficiently with new data connectors that push down Informatica data security policies and enterprise data sources like Workday and SAP, to Google BigQuery. Read, write, and transform large-scale datasets via the Informatica connection to Apache Iceberg on Google Cloud Storage, supporting schema evolution and high-performance analytics.

“By unifying 64 million customer profiles into 24 million profiles with Salesforce Data 360 and Google BigQuery, our loyalty program now gives us a deeper understanding of customer behavior across all 15+ brands,” said Michael Yolland, Head of AI at Pepkor. “This has enabled us to reach 25% more of our customer base with truly personalized engagement — and we can do it all without ever moving or copying our data.”

“Agentforce allows us to scale autonomous action across our entire enterprise,” said James Lomas, Group CTO, Bionic. “By integrating Gemini, we will power agents with world-class intelligence and deeper context, allowing us to scale across every department without compromising on security or governance.”

The agentic enterprise is officially here. By Google Cloud and Salesforce partnering together, companies can unify fragmented data, automate complex processes, and enable true human-AI collaboration within one cohesive architecture. Built for companies who want to grow faster and smarter in the next era of AI.

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EDO Unlocks Free TV Ad Intelligence for Ad Agencies Ahead of 2026 Upfront

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EDO Unlocks Free TV Ad Intelligence for Ad Agencies Ahead of 2026 Upfront

Agencies granted no-cost access to ChatEDO’s investment-grade TV data — equipping brands with greater competitive and historical insights before an unpredictable Upfront season

EDO, the TV outcomes company, announced that it will provide advertising and media agencies with complimentary access to ChatEDO, its TV Ad Intelligence platform, during the 2026 Upfront season, removing significant cost barriers and workflow friction at a time when teams are under growing pressure to plan across fragmented environments — disrupting a status quo that has underserved agencies for too long. Agencies will be granted direct access to EDO’s Convergent TV ad intelligence data to improve their brand strategy, planning, and investment deliverables for clients. Agencies can book access at edo.com/upfront.

“Our industry and the Upfront are at a turning point. AI-enabled buying and selling represents an exciting new era. But the cost and friction of gathering basic intel are getting in the way. Offering agencies free TV ad intelligence through the industry’s first LLM-based interface, ChatEDO, is a statement about where this market is going and who’s actually built for it,” said Kevin Krim, President & CEO of EDO. “The right AI solutions can free our industry from data hunting-and-pecking through spreadsheets — accelerating agencies’ progress toward the higher-order optimization that is our collective future. Ad intelligence is a necessity but it’s data exhaust – and it should be free. Agencies and their brand clients are ready for the Easy Button – automated outcomes-based optimization – and we’re helping them get there sooner by giving them EDO’s real-time, syndicated TV ad intel database into a free, cutting-edge tool.”

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Since its founding more than a decade ago, EDO has built the leading platform that measures every TV ad, everywhere, all at once. As programmatic and cross-platform buying have become the norm, EDO’s convergent TV measurement capability has become increasingly critical to marketers. EDO’s TV outcomes data is trusted by every major TV network and streamer, and many top spending brands – across every major advertising category – and their media agency partners. With continued investment in its Vertical AI-powered platform, EDO is now expanding access to help agency teams operating under tighter timelines and heavier workloads this Upfront season.

The no-cost access for agencies applies solely to EDO’s real-time syndicated TV ad database, or Ad Intelligence offering. EDO’s uniquely powerful TV Outcome Measurement flagship product, Ad EnGage, remains available on an always-on basis via direct subscription or on a variable campaign basis via programmatic platforms or sell-side partners.

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The Clearest View of TV Performance, When It Matters Most

At a time when billions of dollars in Upfront investment are being allocated across an increasingly fragmented TV ecosystem, the ability to know what works has become a market-wide constraint. EDO’s TV Ad Intelligence provides agencies with a consistent and transparent understanding of media airings, creative, and investment weights. EDO’s syndicated platform is built on accurately measuring more than 133 trillion ad impressions, 2.5 million creatives, and 35,000 brands, providing a continuously updated view of performance across both streaming and linear TV, refreshed daily. EDO’s real-time syndicated TV ad database delivers the most comprehensive picture of the competitive landscape, including:

  • Brand and category-level ad activity across linear and streaming
  • Creative-level visibility into messaging and rotation strategies
  • Network, program, and daypart breakdowns
  • Historical benchmarks to contextualize current Upfront decisions

EDO will be providing access to TV Ad Intelligence through ChatEDO™ — EDO’s agentic AI interface that turns the industry’s most complete TV ad database into an actionable conversation. No dashboards to learn, no SQL queries, and no waiting on emailed answers. Ask about share of spend, top creatives, competitor media weights, or category trends and get the definitive answer back in seconds from EDO’s live database of trusted data.

What Agency Leaders Are Saying

“As the 2026 Upfronts approach, the demand for timely, comprehensive insights across the fragmented TV landscape continues to grow,” said Shasta Cafarelli, SVP of Media Investment at Tinuiti, a leading independent media agency. “EDO’s decision to open up its TV ad intelligence platform provides agencies with a valuable resource to gain a deeper view into market dynamics. We welcome more tools and data entering the ecosystem that help marketers navigate industry shifts with greater clarity and confidence.”

Built Different, Available Now.

EDO’s Convergent TV ad measurement is built on pioneering Vertical AI models powering superior accuracy, comprehensive coverage, and unsurpassed scale — with more than 1TB of new impressions and outcomes data added daily. Every client planning their Upfront with EDO TV Ad Intelligence gets full visibility of brand and competitive airings from day one, with the ability to get answers in seconds, not hours. EDO TV Ad Intelligence is available immediately at no cost to all U.S. advertising agencies for Upfront planning. EDO TV Outcome Measurement is available for purchase via a variety of flexible pricing and payment plans that focus on proven ROI and cost savings.

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Valeo and Google Cloud Expand Strategic Partnership to Boost Automotive Innovation with Gemini for Workspace and Agentic AI

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Valeo and Google Cloud Expand Strategic Partnership to Boost Automotive Innovation with Gemini for Workspace and Agentic AI

Valeo has deployed Gemini for Workspace to all its employees for rapid productivity and quality enhancement

The company accelerates agentic AI adoption with business functions using Gemini Enterprise for increased and faster innovation

Valeo, a global leader in automotive technology, and Google Cloud announced a significant expansion of their long-standing strategic partnership.

Building on their multi-year collaboration, the two companies today are entering into a new phase of their partnership with a focus on generative AI to accelerate Valeo’s productivity and R&D excellence.

Empowering Valeo’s 100,000 employees with Gemini

With Gemini as the company’s LLM of choice, Valeo is deploying Gemini for Workspace to its entire, 100,000-person global workforce. This deployment follows the successful integration of Gemini Code Assist, with now more than 35% of Valeo’s code generated by AI, accelerating and enhancing software development cycles for its engineering teams.

The deployment of Gemini for Workspace will help Valeo transform its daily operations by using AI-powered assistance directly from Google’s collaboration tools. By leveraging Gemini, Valeo teams can now boost productivity by automating routine tasks and streamlining document synthesis. Furthermore, they can enhance creativity by generating high-quality content and visual aids for faster decision-making, while also improving work quality through better communication and collaborative workflows across global sites.

As AI fundamentally enhances employees’ abilities across all company functions, Valeo is also ensuring a successful adoption by launching a comprehensive skills development program for its staff.

Importantly, Gemini for Workspace upholds the highest confidentiality and protection of Valeo’s proprietary data and intellectual property.

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Doubling down on agentic AI with Gemini Enterprise

Beyond employee productivity, Valeo is also intensifying its focus on agentic AI with Google Cloud. Having begun explorations into AI agents 18 months ago, Valeo is now doubling down on this frontier using Google Cloud’s Gemini Enterprise Agent Platform.

A few examples of Valeo’s early agents include its Software Testing Assistant, which creates test cases directly from the software design phase; the Software Development Life Cycle Assistant, which reviews and proposes fixes in the continuous integration chain; the System Requirements Assistant, which helps the system designer to write and tailor system requirements; and the Product Validation Assistant, which assists in writing product design validation test cases.

With this shift toward agentic workflows, Valeo intends to augment its engineers by automating intricate engineering processes and accelerating time-to-market for autonomous mobility solutions. In all processes, keeping a human in the loop remains a priority of Valeo to ensure optimal quality and security.

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Christophe Perillat, CEO of Valeo said: “Our partnership with Google Cloud has been a driver of our digital transformation since 2008. By putting Gemini for Workspace into the hands of every Valeo employee, we are not just upgrading our tools; we are embedding a culture of innovation. The move toward Agentic AI with Gemini Enterprise represents the next chapter, allowing our engineers to focus on high-value breakthroughs while AI agents handle complex operational cycles.”

Anthony Cirot, vice president EMEA South at Google Cloud: “Valeo is a prime example of how a global leader can harness the power of generative AI to transform every facet of its business. From accelerating software development with agents to empowering their workers with Gemini for Workspace, Valeo is setting a new standard for the automotive industry. We are thrilled to deepen our collaboration as they pioneer the use of agentic AI to redefine the future of mobility.”

Valeo and Google Cloud’s collaboration spans beyond the current AI-focused initiatives, built on a long-standing foundation encompassing infrastructure, data management, and collaboration tools. Notably, in 2023, the two companies and Artefact supported an internal Valeo hackathon focused on identifying various generative AI use cases across engineering, project management, knowledge management, and industrial maintenance, laying the groundwork for today’s deeper AI integration.

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Seedtag Revolutionizes Media Planning and Activation with the Launch of NeuroX

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Seedtag Revolutionizes Media Planning and Activation with the Launch of NeuroX

NeuroX brings built-in intelligence to programmatic infrastructure, unlocking incremental reach and stronger outcomes across web and CTV

Seedtag, the global Neuro-Contextual advertising company, announced the launch of NeuroX, Seedtag’s Neuro-Contextual Exchange, representing a move toward the new foundation for media planning and activation that enables unseen levels of scale and precision.

NeuroX was built on Seedtag’s proprietary AI, Liz – developed over more than a decade – making every impression across Seedtag’s global network of over 30,000 premium publishers and broadcasters addressable via Neuro-Contextual targeting. This depth of understanding enables connections across content environments that share the same emotional tone and intent, even when surface-level similarities aren’t apparent.

“Media planning has been constrained by infrastructure that was never designed to understand how the mind contextualizes content,” said Brian Gleason, CEO of Seedtag. “As identity signals break down, that limitation becomes impossible to ignore. NeuroX embeds  Seedtag’s Neuro-Contextual AI directly into the exchange so every impression is understood before it’s traded. That allows us to partner with agencies in a fundamentally different way: using neuroscience to revolutionize how audiences are identified, planned, and reached.”

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As signal loss accelerates and the ecosystem becomes increasingly complex, buyers are finding it harder to consistently reach addressable audiences within premium environments using identity-based approaches. NeuroX addresses this structural challenge by embedding interest, emotion, and intent signals directly into the exchange, ensuring every impression is fully decoded and understood before it becomes available for activation. This revolutionizes media planning and activation, providing a new, consistent targeting layer across web and CTV environments with incremental, addressable reach to audiences that identity-based strategies are missing.

NeuroX likewise delivers measurable advantages across the ecosystem:

  • For agencies: NeuroX makes premium inventory targetable through Neuro-Contextual intelligence, unlocking addressable reach that current SSP infrastructure can’t deliver. Agencies maintain the flexibility to integrate their own data and preferred identifiers to further refine activation.
  • For publishers: NeuroX makes previously untargetable inventory addressable by providing interest, emotion, and intent signals, driving yield from impressions that were effectively invisible to buyers.
  • For brands: Ads activated through NeuroX’s Neuro-Contextual matching drive stronger engagement than standard contextual approaches, aligning creative with the emotional and intentional context of the content.

The launch of NeuroX marks a shift in how Seedtag works with agencies. Rather than a single activation model, the platform provides flexible access to the same Neuro-Contextual targeting layer through managed service, curated supply paths, or open marketplace activation within existing DSPs. This allows agencies to engage with NeuroX in a way that aligns with their operating model, while maintaining consistency in how impressions are understood and valued.

“Seedtag has emerged as one of the most scaled omnichannel exchanges.” said Chris Kane, Founder of Jounce Media. “The combination of Seedtag’s strength in the web category and Beachfront’s strength in the CTV category positions the combined platform as a major source of premium supply.”

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“NeuroX helps us better align revenue with the true value of our content,” said Dustin Park, AVP Programmatic Strategy & Ad Product of Penske Media Corporation. “That translates into higher yield, more competitive demand, and a more resilient monetization model at a moment of rapid change in the industry.”

“Most supply today still comes through in such broad categories that it limits how precisely we can plan and value inventory,” said Sean Edwards, Director of Programmatic & E-Commerce Media at Exverus Media. “What’s interesting about NeuroX is how, by assigning meaning to each impression before it enters the bidstream, it gives us a clearer signal to work with and more confidence in how we activate and optimize campaigns.”

The introduction of NeuroX initiates a broader platform shift for Seedtag. While the exchange is available for direct access today, Seedtag will further expand agency capabilities in June 2026 with the launch of a self-serve curation platform. This will enable agencies to build and activate their own curated supply paths directly on top of the NeuroX intelligence layer, further integrating Seedtag into the core of programmatic planning and execution.

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Oracle Expands Powerful AI Capabilities in Oracle AI Database@Google Cloud to Supercharge Enterprise Data Innovation

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Oracle Expands Powerful AI Capabilities in Oracle AI Database@Google Cloud to Supercharge Enterprise Data Innovation

Secure, natural language access to Oracle data through Gemini Enterprise speeds insights without writing SQL 

Oracle has expanded its partnership with Google Cloud to give joint customers new ways to operationalize AI across enterprise data. Under the expanded partnership, the Oracle AI Database Agent for Gemini Enterprise gives Oracle AI Database@Google Cloud customers a simpler way to interact with their Oracle data using natural language. In addition, Oracle AI Database@Google Cloud now offers new capabilities and broader regional availability as global organizations, such as Worldline, use it to drive innovation and accelerate cloud migrations.

“We’re making it easier for customers to use natural language to access, understand, and act on enterprise data by combining the Gemini Enterprise experience with Oracle’s industry-leading database performance, security, and governance,” said Nathan Thomas, senior vice president, product management, Oracle Cloud Infrastructure. “By applying AI directly to enterprise data at the database layer, customers can improve accuracy, strengthen controls, and use models more efficiently without exposing sensitive data or adding complexity. Together, we’re making it easier for our customers to power agentic AI with trusted business data.”

“To deliver real impact from agentic AI, customers need a simple, trusted way to interact with their valuable business data using intelligent agents such as the Oracle AI Database Agent,” said Satish Thomas, vice president, applied AI & platform ecosystem, Google Cloud. “By making this agent accessible through Gemini Enterprise, we’re giving customers greater flexibility to apply AI to data stored in Oracle databases and turn that data into meaningful business value.”

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The Oracle AI Database Agent, now available in the Google Cloud Marketplace, allows Gemini Enterprise customers to use natural language when interacting with their trusted Oracle data, while drawing on the in-database AI capabilities of Oracle AI Database to deliver relevant, context-aware answers. Customers can ask everyday business questions—such as analyzing revenue trends across regions and product lines—and receive immediate, data-driven answers that help them adjust pricing or prioritize sales efforts, all without writing SQL or building custom tools. The agent interprets each request, queries relevant, governed Oracle data, and delivers clear insights without moving or duplicating data. In addition, the Oracle AI Database Agent enables developers to securely use Oracle data in more advanced AI workflows by allowing them to connect it with other AI tools in Google’s Gemini Enterprise Agent Platform to automate tasks such as data extraction, analysis, and visualization.

AI Shift is a CyberAgent subsidiary that helps enterprises in Japan build and deploy agentic AI solutions to automate business processes across customer service, marketing, and sales. AI Shift uses Oracle Autonomous AI Database on OCI to power its agent development platform and plans to use Oracle AI Database Agent to help customers expand their Oracle AI Database deployments to Oracle AI Database@Google Cloud.

“The Oracle AI Database Agent represents an important advancement in how we use AI with enterprise data,” said Yuto Yoneyama, CEO, AI Shift. “With Gemini Enterprise, our users can move from writing SQL to asking questions in natural language to get answers grounded in trusted enterprise data. That helps us speed development, improve the quality of results, and make faster, more informed decisions without compromising governance and control.”

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Leading Organizations Choose Oracle AI Database@Google Cloud 
Global organizations, such as Worldline, are adopting Oracle AI Database@Google Cloud to accelerate their cloud migrations.

Worldline is a European payments provider that processes billions of transactions globally. To support its strict requirements for performance and security, Worldline is leveraging Oracle Exadata Database Service on Oracle AI Database@Google Cloud to modernize its payment processing platform and deliver scalable, low-latency, and secure payment services.

“Worldline operates one of the largest payment processing platforms, for which consistent low latency and high throughput are non-negotiable,” said Arni Smit, director, software engineering, integration and payment platform, Worldline. “Oracle AI Database@Google Cloud gives us the scalability, resilience, and security capabilities we require to support real-time transaction processing at global scale by delivering the power of Oracle Exadata within Google Cloud.”

New Oracle AI Database@Google Cloud Capabilities and Regions
New database capabilities and additional regions are supporting growing demand from across the world by providing customers with more options and locations to use Oracle AI Database@Google Cloud:

  • Oracle Cloud Infrastructure (OCI) GoldenGate enables real-time Oracle database migration: Enables customers to simplify migrations of Oracle databases to Oracle AI Database@Google Cloud and implement high-availability solutions through real-time, low-impact data movement. In addition, the service integrates with Google BigQuery for near real-time analytics, eliminating latency between operational and analytical systems. Generally available soon, OCI GoldenGate enables customers to act on live data without building complex data pipelines.

  • Oracle Autonomous AI Lakehouse integration with Google BigQuery: Enables customers to seamlessly access and analyze open-format data stored in Google Cloud Lakehouse by allowing Oracle Autonomous AI Lakehouse to directly read BigQuery Iceberg tables without data duplication. This helps customers build a unified lakehouse architecture that supports analytics and AI workloads across Oracle and Google Cloud while reducing data movement and associated costs.

  • Oracle AI Database@Google Cloud new region availability: Oracle AI Database@Google Cloud is now available in 15 regions: Asia-Northeast 1 (Tokyo), Asia-Northeast 2 (Osaka), Asia-South 1 (Mumbai), Asia-South 2 (Delhi), Australia-Southeast 1 (Sydney), Australia-Southeast 2 (Melbourne), Europe-West 8 (Milan), Germany Central (Frankfurt), North America-Northeast 1 (Montreal), North America-Northeast 2 (Toronto), South America-East 1 (São Paulo), UK South (London), US Central 1 (Iowa), US East (Ashburn), and US West (Salt Lake City). To support growing customer demand, additional regional availability is planned within the next 12 months in Europe-West 12 (Turin) and North America-South 1 (Mexico).

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Cognizant and Google Cloud Bring Agentic AI to Retail’s Most Critical Customer Moments with Gemini Enterprise

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Cognizant and Google Cloud Bring Agentic AI to Retail's Most Critical Customer Moments with Gemini Enterprise

Powered by Google Cloud’s Gemini Enterprise for Customer Experience, the new offering gives retailers a purpose-built path from AI investment to contact center impact.

Cognizant announced the launch of Agentic Retail CX, a new AI-powered contact center solution built on Google Cloud’s Gemini Enterprise for Customer Experience (CX). Designed specifically for retailers, the solution helps brands deliver personalized, omnichannel experiences while reducing operational costs, improving employee productivity and accelerating the adoption of agentic AI across the retail value chain.

Retail customer expectations are evolving quickly, and brands face mounting pressure to provide fast, seamless and personalized experiences across every touchpoint. According to a 2024 Forbes study1, 81 percent of consumers prefer companies that offer personalized experiences, and 70 percent say it matters that brands recognize their history across interactions – making personalization a baseline expectation in retail.

As retailers work to meet these expectations, technology investments often fall short as structural barriers, like omnichannel integration, limiting value. With the contact center market set to grow more than 13 percent annually from 2025 to 2031, according to Lucintel2, Cognizant Agentic Retail CX applies Cognizant’s AI Builder approach which is designed to help retailers move from AI investment to measurable impact, based in their deployment choices and oversight.

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Among the first contact center solutions purpose-built for agentic AI at enterprise scale, the offering combines Google Cloud’s Gemini Enterprise for CX with Cognizant’s retail expertise to bring AI-driven capabilities that assist human-led workflows into live customer environments. The result: a 70-85 percent containment rate through robust AI self-service, seamless omnichannel engagement, hyper-personalized recommendations and proactive outreach across abandoned carts, promotions and feedback capture, driving loyalty and efficiency at scale.

“Retail customers don’t need more channels, they need less friction, and the contact center is a moment of truth for a brand; a place where trust is either earned or lost,” said Ben Wiener, Global Head of Cognizant Moment. “Cognizant Agentic Retail CX, built on Gemini Enterprise for CX, brings agentic AI into that moment in a way that reflects how people actually want to be treated: faster resolution, smarter assistance and a human advisor who’s better equipped thanks to AI.  When retailers get that right, efficiency and loyalty will follow.”

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The solution draws on a deep and active collaboration between Cognizant and Google Cloud, one built around translating AI capability into retail outcomes that enterprises can deploy, measure and scale.

“Agentic AI has the potential to transform the retail sector and deliver better outcomes for consumers and retailers alike,” said Victor Morales, Vice President, Global System Integrators Partnerships, Google Cloud. “This partnership demonstrates how Gemini Enterprise for CX, combined with Cognizant’s deep industry and AI expertise, can help retailers modernize their customer service and deliver the personalized, efficient experiences that build lasting loyalty.”

Early client usage underscores the solution’s impact. Ocado Retail, a leading online grocery and delivery company, has leveraged Gemini Enterprise for CX to support the delivery of exceptional contact center operations.

“Gemini Enterprise for CX has been instrumental in helping us redefine what a modern, AI powered customer experience looks like for our business. By bringing conversational intelligence, and real-time insights into our operations, we’ve been able to elevate customer engagement across every touchpoint. This transformation reflects our commitment to smarter, simpler journeys for our customers – made possible through the strong execution and expertise of Cognizant,” said Kieren Johnson, Head of IT, Ocado Retail.

Cognizant Agentic Retail CX is the latest in a growing portfolio of joint solutions developed through Cognizant and Google Cloud’s strategic collaboration, bringing together retail domain expertise and AI infrastructure to help retailers close the gap between AI investment and customer impact. It builds on Cognizant’s standing as a Google Cloud Diamond partner – the highest tier in the Google Cloud partner program – and accompanies Cognizant’s announcement of a dedicated Gemini Enterprise Practice established jointly with Google Cloud. This longstanding collaboration was also recently recognized with a Google Cloud Partner of the Year 2026 award in two categories: Global Data & Analytics and Services & Industry Solutions: Healthcare & Life Sciences.

Cognizant was also recently recognized as a Leader in the Everest Group Google Cloud Services PEAK Matrix® Assessment 2026, reflecting strong market impact, vision, and capabilities, as evaluated by the leading analyst research firm Everest Group.

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FreeWheel Launches New Partner Portal, Advancing Its Open Platform Strategy for Streaming Advertising

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GeeLark Launches Android 16 Cloud Phones for Scalable Social Media Operations

New centralized hub lets partners build once, deploy broadly to quickly deliver CTV-first and AI-powered solutions to premium publishers

Launch Partners include DanAds, Operative, Placements AI, Swivel, and Watching That

FreeWheel, the leading global technology platform for the streaming advertising ecosystem, announced the launch of Partner Portal, a centralized hub that enables partners to create, test and scale solutions for premium publishers. Partner Portal accelerates innovation by enabling specialized, publisher specific applications on top of FreeWheel’s operating system, spanning areas such as AI‑driven optimization, planning, and automation to address the distinct needs and objectives of the premium TV ecosystem. Among the first partners to integrate with Partner Portal are DanAds, Operative, Placements AI, Swivel, and Watching That.

As streaming becomes central to TV advertising, the industry’s pace of innovation has not always kept up. Fragmented onboarding, limited visibility into platform capabilities, resource intensive integrations, and difficulty scaling across publishers have slowed progress at a time when workflows are becoming more complex and demand for premium CTV continues to grow.

Partner Portal addresses these challenges by expanding how approved partners can securely connect to FreeWheel Streaming Hub. Whether it is for creative selection, intelligent pacing or troubleshooting agentic AI copilots, partners can request access to APIs, test integrations in secure sandbox environments, and launch solutions for shared publisher customers—all within a single, unified interface. This approach reduces the need for bespoke, one-off builds while maintaining the controls required for premium television.

“Partner Portal gives FreeWheel partners a faster, more secure way to build and bring new capabilities to market without sacrificing the trust and control publishers deserve,” says Matt Clark, VP of Strategy and Partnerships at FreeWheel. “Built on FreeWheel Streaming Hub, it reflects our ‘built in, build on’ approach: standardized access without sacrificing flexibility. Unlike one‑size‑fits‑all tools, its purpose built around CTV workflows, supporting how premium TV is bought, sold, and managed today.”

As streaming advertising evolves at an increasingly rapid pace, publishers need fast, secure access to tools that solve core challenges such as campaign management, yield optimization, and measurement, without adding complexity to their existing tech stacks or relinquishing control. Partner Portal provides a trusted yet open environment where publishers can seamlessly integrate new capabilities, maintain full control over permissions, and unlock AI‑powered solutions that streamline operations and create stronger connections between buyers and sellers.

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Initial partners building and launching solutions through Partner Portal include DanAds, Operative, Placements AI, Swivel, and Watching That, highlighting that Partner Portal can support a range of tools from campaign operations and operational control, without increasing operational burden for publishers.

“With self‑service now a must‑have for modern TV publishers globally, integrating DanAds with FreeWheel Streaming Hub via Partner Portal enables a consistent, branded buying experience that connects directly to premium inventory across regions,” said Peo Persson, Co-founder, and CCO at DanAds. “That combination helps publishers unlock new advertiser demand, protect pricing, and scale efficiently without adding operational complexity.”

“Managing revenue across increasingly fragmented linear and digital environments is one of the biggest challenges premium media companies face today,” said Bryan Scivolette, VP Product Management at Operative. “By integrating Operative’s sales, planning and revenue insights directly into the yield management platform through FreeWheel Partner Portal, we’re simplifying workflows, automating key processes, and enabling companies with an intelligent, end-to-end view of performance that drives more effective revenue outcomes across every deal and screen.”

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“We’re seeing even the most sophisticated publishers move beyond fragmented point solutions and swivel-chair operations as the demands on ad sales continue to grow,” said Evan Bowen, Chief Business Officer at Placements AI. “As a long-time partner and through our integration with Freewheel Partner Portal, the largest publishers, broadcasters, and RMNs trust Placements AI to connect the stack and transform their business through ad sales orchestration and agentic AI. The bar has been raised, and the winners are doing, not discussing.”

“Premium TV workflows today are fragmented, and publishers need faster, more coordinated execution across the systems they already use,” said Frans Vermeulen, President and Co-Founder at Swivel. “Through FreeWheel Partner Portal, we can help our shared customers streamline campaign workflows, reduce manual operational overhead, and act on monetization opportunities with greater speed and precision.”

“Every streaming publisher is accountable for operational problems they can’t see across a stack that now spans dozens of partners and systems. Partner Portal lets Watching That’s operations control platform plug directly into FreeWheel so publishers can finally see the full picture of their ad operations, and act on it before revenue walks out the door,” said Cameron Church, CEO & Founder, Watching That.

Future releases will include partner access to FreeWheel MCP Server to empower AI models to standardize how partners access FreeWheel tools and data without custom integrations.

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SiriusXM Media Becomes Exclusive Audio Advertising Representative for YouTube in the United States

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PRNewswire
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SiriusXM Media Becomes Exclusive Audio Advertising Representative for YouTube in the United States

YouTube, Home of The World’s Number One Podcast Platform and a Leading Music Service, Chooses Audio Ad Powerhouse SiriusXM Media as Its Exclusive Audio Sales Representative in the U.S.

New Deal Cements SiriusXM’s Leadership In Powering The Largest Ad-Supported Audio Ecosystem And Gives Brands Exclusive Access To YouTube’s Audio-First Inventory

SiriusXM announced a new audio advertising partnership with Google that connects YouTube to one of the largest audio advertising platforms in North America. The agreement makes SiriusXM Media, the advertising group representing SiriusXM, Pandora, and expansive Streaming and Podcast Networks, the exclusive advertising representative of YouTube audio advertising inventory in the U.S. This will provide advertisers access to guaranteed impressions at scale for the first time, backed by similar sophisticated targeting and measurement as YouTube’s ecosystem.

“Audio is one of the most powerful mediums for listeners, creators, and advertisers alike, and at SiriusXM Media, we’re proud to be at the forefront helping brands harness that impact at scale,” said Scott Walker, SiriusXM’s Chief Advertising Revenue Officer. “By partnering with YouTube, a true leader in ad-supported content consumption, we’re uniting our unique skillset with their audience, creating an unparalleled opportunity for marketers and creators to grow their businesses.”

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“YouTube has become a primary destination for audio-first content, where fans engage with their favorite podcasts, music, and creators,” said Romana Pawar, Senior Director of Product, YouTube Ads. “By partnering with SiriusXM Media, we are making it easier than ever for advertisers to tap into these high-attention moments.”

YouTube audio ads reach listeners wherever they are across audio-first content and behaviors: immersed in podcasts, talk shows, and music. By meeting users in environments primed for listening and engagement, such as when YouTube content is playing on smart speakers, brands can tap into high-intent listening experiences across YouTube’s vast creator ecosystem. According to a study from SiriusXM Media and Edison Research, there are more than 212 million monthly listeners in the U.S.1 engaging in audio-first content or environments on YouTube.

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Starting this fall, advertisers will be able to buy guaranteed audio ad impressions against YouTube’s high-value audiences at scale for the first time directly through SiriusXM Media—paired with an audio-first activation approach to extend reach and impact. Brands can now reach YouTube’s expansive, next-generation and highly engaged audience in the same place where they buy SiriusXM Media’s leading portfolio of ad-supported audio inventory, ensuring a seamless buying experience powered by AdsWizz Inc.’s ad tech platform. As audio continues to reach consumers as a constant companion throughout the day, from commuting to working hours, this deal gives brands an opportunity to reach a valuable audience that is further leaning into audio-first behaviors and content on YouTube in high-attention moments.

Powered by AdsWizz, SiriusXM Media now offers access to 255 million monthly listeners2—reaching nearly 90% of the U.S. population 13+—delivering expansive scale and incremental reach, best-in-class measurement and targeting capabilities, and premium brand-safe environments across every major audio touchpoint. The landmark partnership with YouTube highlights SiriusXM’s commitment to an open, partner-first audio advertising ecosystem, continuing to connect advertisers to premium audio content wherever audiences choose to listen.

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