2026.2 Product Release: Sharper proof, smarter workflows

Most connected TV platforms tell you an ad ran. Few prove what it did for your business.
JamLoop is built around outcomes—store visits, calls, sales, and revenue, not just impressions and completion rates. The 2026.2 release, available May 7, 2026, sharpens how we measure those outcomes and removes friction from the workflows that surround them.

Continue reading to see what’s shipping and why it matters.

What is the JamLoop 2026.2 release?

The 2026.2 release is a platform-wide update centered on two new performance reporting features in open beta—incrementality reporting and AI optimization reporting—paired with a set of workflow improvements that make day-to-day campaign management faster and easier. It also includes a political data partnership for advertisers running campaigns in that vertical, plus a new AI-guided onboarding experience for self-serve users.
The release covers three areas:

• Performance reporting: Incrementality reporting and AI optimization reporting prove what campaigns actually drove and quantify the impact of AI-driven optimization.
• Workflow improvements: Audience Manager, sticky dashboard views, pixel configuration improvements, and offline sales in Clean Room cut setup time and reduce manual effort.
• Vertical-specific data: A new Political Data Intelligence partnership unlocks precise voter targeting for political campaigns.

Below is a closer look at each feature and the value it delivers.

Performance reporting: proof that goes beyond attribution

The two most important additions to the product in 2026.2 are reporting on two features currently available in open beta. They give advertisers a clearer view of what drove results and how much of that result came from optimization.

Both features are set up by JamLoop Managed Services. Self-serve users can request access through the in-product chat. Full in-app self-setup will follow in a future release.

Incrementality reporting

Performance metrics often confuse correlation with causation. A campaign with strong attributed conversions might have driven those conversions—or it might have run in front of people who were going to convert anyway.

Incrementality reporting answers the harder question. By comparing exposed and control groups, it isolates the causal impact of advertising and shows the true lift in conversions a campaign generated.

Once activated, results surface directly in-app, which means teams can access incrementality measurement without external analysis or a statistician on staff. The practical effect is sharper investment decisions and stronger conversations grounded in real business outcomes, not just attributed metrics.

For agencies and brands defending media spend, this is the report that ends the debate.

AI optimization reporting

JamLoop’s AI optimization model has long worked behind the scenes to improve campaign performance. The new AI optimization reporting feature brings transparency to that work.

In-app reporting shows campaigns where AI optimization has been applied and quantifies the incremental conversions the model generated. An optimization index score indicates how effectively the model is performing against campaign goals, and additional views show how much influence the model had on bid decisioning and where it applied that influence most—by geography, media, or daypart.

For users, this answers a question that has long been hard to answer about any AI optimization: what did it actually do? With this reporting in place, the impact is no longer a black box.

Workflow improvements: less setup, more activation

The 2026.2 release also includes four workflow updates that target the most common friction points in day-to-day campaign management. None of these change what the platform does—they change how quickly users can get there.

Audience manager

Rebuilding the same audience definition for every campaign is one of the most common sources of wasted time in ad operations. The new audience manager fixes that.

Users can now create reusable audience definitions, save them, and apply them directly within campaign workflows. Every saved audience lives in a centralized view where teams can find, edit, and organize their targeting strategies in one place.

The feature supports both organization-wide and advertiser-specific audiences, which makes it useful for agencies running multiple brands, holding companies with shared targeting standards, and Clean Room use cases where data segregation matters.

Sticky dashboard views

Different stakeholders look at the same data in different ways. A campaign manager wants pacing and creative performance. A finance lead wants spend and ROI. A client services team wants the metrics that match what they promised the brand.

Sticky dashboard views let each user save their preferred reporting configuration—metrics, dimensions, and layouts—so the dashboard remembers them on return. Views save at the user-and-brand level, which means different views can apply to different advertisers based on the data and metrics available.

The outcome is less time setting up reports and more time acting on them.

Pixel configuration improvements

Pixel setup is one of those tasks that sounds simple until something goes wrong. The 2026.2 release introduces an interactive pixel configuration experience that makes setup easier to validate and easier to trust.

Users can now hover over traffic data to explore activity trends directly in the interface. Diagnostics and performance signals that previously required external tools now live inside the product.

The practical benefit is confidence. Before launching or optimizing a campaign, users can see whether the pixel is collecting enough data—no guesswork, no third-party debuggers.

Offline sales in Clean Room

About 80% of commerce still happens locally, in stores, offices, and restaurants. Connecting streaming TV exposure to that offline activity has historically required custom engineering work. Not anymore.

The new offline sales data ingestion feature automatically generates the tracking infrastructure when offline data is introduced. The system ingests offline sales data, links it to campaign activity, and surfaces conversions in standard reporting after processing.

For advertisers whose business depends on what happens after the ad runs—did the phone ring, did someone visit the store, did someone buy—this feature closes the loop without the manual setup that used to come with it.

For political advertisers: Political Data Intelligence partnership

Political advertising has a unique problem: generic, off-the-shelf audiences rarely match the precision a campaign actually needs. The new Political Data Intelligence partnership solves this by giving JamLoop users access to custom political audience segments built from California voter files.

Instead of picking from pre-built lists, teams can activate segments tailored to specific campaign requirements. The workflow takes voter data, which has historically lived offline, and brings it into digital activation.

For agencies and political teams, this unlocks a category of business that was previously hard to serve well within streaming TV. For JamLoop users running political campaigns, it means meeting explicit client demand without the operational complexity that usually comes with voter data.

Why this release matters

Streaming TV has had a measurement problem for years. For decades, TV buying prioritized reach over results, and the streaming TV ecosystem largely inherited that approach. Most platforms still judge success using legacy TV metrics like reach and completion rates, or they focus only on online conversions.

JamLoop takes a different position: streaming TV should drive appointments, store visits, and in-store sales, not just impressions. The 2026.2 release strengthens that foundation in two ways.

First, the new reporting features make the proof easier to produce. Incrementality reporting and AI optimization reporting both surface causal, in-app answers to the questions: did the campaign drive real lift, and what did the optimization actually contribute?

Second, the workflow improvements make the work easier to do. Reusable audiences, persistent dashboards, better pixel diagnostics, and automated offline sales tracking all reduce the manual effort between strategy and insight.

The result is a platform that makes outcome-based connected TV easier to run, easier to read, and easier to defend.

New to JamLoop? Start with the AI welcome wizard

Self-serve users joining JamLoop with the 2026.2 release will be greeted by a new AI-guided onboarding experience. The welcome wizard generates a business profile from a few simple inputs—company name, website, and location—and uses AI to infer industry, offerings, and likely goals. From there, it guides setup with contextual recommendations, so the first campaign goes live with less manual input and stronger signals for the system to build on.

Get started today

JamLoop is flexible by design and powerful no matter how you work. Self-serve users get full control of their campaigns with a platform built for transparency and precision. Managed Services customers get expert strategy, execution, and optimization, so their teams stay focused on outcomes. White Label partners deliver performance connected TV to their clients under their own brand, powered by JamLoop’s infrastructure.

Whichever path fits your business, the 2026.2 release is the fastest way to see what an outcome-focused connected TV platform can do. Sign up for a free account to get started, or request a demo to walk through the release with the JamLoop team.