Channel convergence needs connected infrastructure

This sponsored article by Keynes explores the infrastructure behind cross-channel video advertising.

Video advertising is becoming increasingly connected, with audiences, budgets, and performance signals moving across platforms. In 2026, US connected TV (CTV) upfront video ad spending is expected to reach $17.73 billion, surpassing primetime linear upfront ad spending for the first time, according to EMARKETER. As investment shifts, the infrastructure supporting those channels needs to keep pace.

The technology supporting those investments has not always kept pace. A marketer can expand into CTV after reaching the limits of a mature social or search program, yet the information needed to evaluate that investment may remain scattered across separate buying platforms, CRM systems, and measurement providers. Each source can explain part of the campaign without showing how those parts relate to one another.

As video channels converge, marketers need three capabilities to manage them effectively.

1. Make the data interoperable

CTV works best when it can use what a brand already knows about its audience.

First-party data, CRM information, and insights from existing paid media can help marketers make better decisions about who to reach and how to structure a campaign. CTV data should also flow in the other direction, informing measurement, audience strategy, and planning across the broader media mix.

Too often, those exchanges require manual work. Teams export reports, reconcile different definitions, and move information from one system into another before they can begin analyzing it.

API-driven interoperability can turn those separate systems into a more useful operating environment. When audience and performance data can move between platforms, CTV becomes easier to manage as part of a broader growth strategy rather than as a standalone media investment.

2. Turn connected data into intelligence

Connecting the information is only the foundation. Marketers still need to decide what it means.

Cross-channel reporting frequently produces more dashboards without producing a clearer answer. A marketer trying to understand acquisition costs, incremental reach, or the relationship between CTV exposure and performance elsewhere can find different pieces of the answer in different platforms.

A unified data layer changes the types of questions marketers can ask. Instead of evaluating every channel through its own reporting interface, teams can examine performance across their media investments using a single source of truth.

Connected data also creates a more useful role for agentic AI and open protocols. The opportunity is less about generating another automated summary and more about shortening the path from data to decision. Marketers should be able to ask questions of their own performance data in plain language and get answers grounded in information they already trust.

The quality of that intelligence still depends on the quality and completeness of the information underneath it.

3. Measure performance incrementally

Channel convergence also complicates attribution.

Media platforms naturally report performance through their own data and methodologies. Those reports remain valuable, but marketers comparing investments across several environments can end up with competing versions of what drove the same outcome.

CTV makes the issue particularly visible because its impact rarely follows a simple click path. CTV exposure may influence branded search, site traffic, customer acquisition, or performance results in other paid channels. Understanding that contribution requires measurement that can look across the media mix rather than stopping at the boundary of an individual platform.

Incrementality measurement can give marketers a more consistent, data-backed framework for evaluating those effects. By validating causal lift through continuous holdout testing, brands can make more informed decisions about where to shift budgets.

Video is converging quickly. The infrastructure behind it now has to do the harder work: connect the data, turn it into usable intelligence, and give marketers a credible view of performance across the full media mix.

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