The New Marketing Bottleneck: Your Data Analyst

AUSTIN, TX – September 15, 2026 – In the modern marketing department, data is not the new oil; it’s the new ocean. Teams are awash in it, collecting performance metrics from a dozen disparate channels, from Google search ads to streaming television. Yet for all this information, the path to a clear, actionable decision is often blocked by a single bottleneck: the availability of a data analyst. Today, performance CTV technology company Keynes launched a tool designed to demolish that barrier, suggesting the future of analytics may be less about spreadsheets and more about simple conversation.

The company announced kAI, an artificial intelligence layer built directly into its Kortex platform. The premise is refreshingly straightforward. It allows marketers to ask plain-language questions about their campaign data—"Why did our cost per acquisition increase last week?" or "Show me how our CTV campaign influenced search traffic in the last 30 days"—and receive immediate analysis, visualizations, and written explanations. It’s a move that aims to democratize a function once reserved for specialists, placing sophisticated analytical power directly into the hands of the strategists who need it most.

“Marketing teams have no shortage of data, but turning that information into a decision often depends on the availability of an analyst,” said Dan Larkman, Founder and CEO of Keynes, in the announcement. “kAI makes that analytical process directly accessible inside Kortex.” This launch isn't just about convenience; it’s a direct response to the crippling complexity that has come to define modern advertising, where the average B2B customer journey now reportedly involves nearly 90 touchpoints across multiple channels.

The Twin Crises: Attribution and Privacy

Beneath the surface of this product launch lie two of the most significant challenges facing the advertising industry. The first is the long-standing puzzle of cross-channel attribution. As brands pour money into non-click-based channels like Connected TV (CTV), podcasts, and audio, traditional last-click measurement models have become obsolete. Understanding how a visually engaging streaming ad influences a customer who later performs a brand search is a notoriously difficult problem that has left many marketers guessing about the true return on their investment. Industry reports from earlier this year consistently show that nearly half of all marketing agencies struggle with a host of attribution challenges, from fragmented data to an inability to connect campaigns to revenue.

Keynes, which has built its reputation on bringing performance metrics to the traditionally opaque world of CTV, positions kAI as a solution. By ingesting and analyzing data from a brand’s entire paid media portfolio, the AI can identify patterns and correlations that a human might miss, providing a more holistic view of how channels influence one another.

The second, and perhaps more urgent, crisis is data privacy. As generative AI tools have exploded in popularity, so have concerns about where corporate data is being sent and how it’s being used. The idea of exporting sensitive, multi-million dollar campaign performance data into a third-party AI model is a non-starter for most enterprise legal and security teams. Keynes’s approach directly confronts this fear.

“The value of AI depends on where it operates, what it can see and whether the result leads to a useful decision,” explained Saching Telang, CTO of Keynes. “We built kAI inside Kortex so brands can analyze the complete paid media picture in the environment where their data already lives.” The company stresses that no data is exported to a consumer AI account and no outside model is trained on a brand’s information. This “walled garden” approach to AI analysis aligns with a growing movement toward “private AI,” where data control is paramount. It offers a compelling promise: the power of advanced AI without the perilous trade-off of data sovereignty.

Unlocking the Value of the Living Room Screen

The launch of kAI is the logical next step in Keynes' focused strategy. The company, which secured a $40 million investment from Volition Capital in March, has been on a rapid development path. Its Kortex platform, launched in June, was already designed to harmonize fragmented marketing data for CTV advertisers. The addition of kAI deepens that capability, specifically targeting the measurement gap for channels that don't produce a direct click.

This is where the technology could have its most profound impact. CTV is one of the fastest-growing advertising segments, yet it remains a challenge for performance-focused marketers who are held accountable for measurable results. By analyzing fluctuations in search volume, website traffic, and conversions on other channels in the wake of a CTV campaign—while also accounting for external factors like holidays or seasonality—kAI aims to finally quantify the channel's true contribution. It moves the conversation from impressions and reach to tangible business outcomes, a shift that investors and CFOs have been demanding for years.

While Keynes is not alone in the crowded ad tech landscape, its specific combination of features carves out a distinct niche. Competitors like Northbeam and Cometly offer powerful cross-channel attribution, and platforms like Google and Adobe Analytics provide their own AI-driven insights. However, kAI’s unique value proposition lies in the convergence of three key elements: a natural language interface that lowers the barrier to entry, a privacy-first architecture that addresses enterprise security mandates, and a deep, foundational focus on solving the CTV attribution problem.

As the industry moves toward what analysts predict will be a necessary convergence of measurement models powered by AI, Keynes appears to be placing an early and practical stake in the ground. The ultimate test for kAI will be its ability to deliver on its promise of clarity. In a world where marketers are tasked with navigating an ever-more-fragmented media landscape, the ability to ask a simple question and get a trusted answer may be the most powerful tool of all.