2026.5 Release: Targeting, audience data, and measurement easier to see and control

‍Key takeaways

• Polk and Aristotle are now reachable in self-serve, with interest and demographic targeting organized by vendor.
• Converted customers can be suppressed from prospecting on any audience type, so acquisition budget goes to people who are not customers yet.
• Incrementality lift now splits by conversion event, with incremental counts and statistical confidence behind each one. coming September 22nd
• Locations can be added once and targeted by radius at the geo targeting step

Know whose data you’re buying, and what it costs. 

Audience data has historically arrived as part of a blended rate, which makes it hard to tell a good audience from an expensive one.

Jamloop's portal has long carried a data segment interface with roughly 40 vendors and tens of thousands of segments. Self-serve deliberately surfaced a curated subset of those, because fifty thousand options is not a feature—it is paralysis. The side effect was that an advertiser who came to Jamloop specifically for Polk automotive segments, or who read about the Aristotle partnership, opened the app and found neither.

Polk and Aristotle taxonomies are now available directly in self-serve. Interest and demographic targeting is organized by vendor, so you know whose data sits behind an audience before you buy it. A single line item uses one taxonomy—Jamloop, Polk, or Aristotle—and a campaign can carry a separate line for each. Keeping providers on separate lines is what makes it possible to price and report each one honestly.

Audience pricing is now on the line. Both the audience CPM and the inventory CPM appear on a campaign line before it runs, and they bill as separate items. You can compare two audiences on price and performance instead of price-and-performance-together.

New Homeowner audiences and a 21+ demographic option are available as well, the latter for advertisers with age-gated products.

Prospecting that skips your existing customers

Prospecting budget spent on existing customers is not prospecting. It is a discount.

Retargeting has always let you exclude people—target the shoppers who added to cart, but not the ones who already purchased. That same control now applies to prospecting. You can exclude people who have already converted from lines of any audience type, not retargeting lines alone. The line review step shows which pixels are excluded, so the exclusion is something you can verify rather than something you hope you set. It reads and writes through the campaign line CSV, so bulk builds get the same treatment.

We also renamed "web event" to "conversion event" across the platform, because that is what it is.

Lift you can read event by event 

A single blended lift number invites an obvious question: how many of those conversions were actually sales?

Until now, the incrementality report summed every conversion event a brand had configured—site visits, add to carts, purchases—into one incremental number, and left you to wonder which of them moved. Lift now splits by event. Toggle between incremental site visits, add to carts, purchases, form fills, and signups, and read the lift for each one on its own.

Three other things changed alongside it. The report now shows the actual incremental conversion count, not only the rate, so no one has to do the arithmetic themselves. Statistical significance is shown per event, so you can see that your add to cart result is high confidence while your purchase result is not yet. And the old likelihood multiplier is now Relative Lift %—a straightforward percentage above the control baseline, because a 1.3x multiplier and a 130% increase are not the same thing, and reading one as the other has caused real confusion.

There is also a table view showing every event at once, tooltips that reveal the formula behind each metric, and bulk export to CSV and PDF across multiple campaigns, so a defensible number reaches the client deck without being retyped.

Running an incrementality study still starts with your campaign manager or the Jamloop team—reach out and we'll set it up.

Your locations, in one place

For multi-location businesses, the store list has usually lived in a spreadsheet and been re-pasted into every campaign.

You can now add and manage your locations in the platform, and target a radius around any of them at the geo targeting step of the campaign builder. Build the list once, and use it on every campaign that needs it.

What 2026.5 means for your business

Two things get easier in this release. You can prove more of what a campaign did, including the part that happens in a store rather than a browser, and you can see what you are paying for the data behind it.

Those are the same problem viewed from two ends. A result is only defensible if you can show what produced it and what it cost. That is what it means to prove streaming TV drives growth you can see and feel.

Get started today

Jamloop is flexible by design and powerful no matter how you work. Self-serve gives you full control of your campaigns with a platform built for transparency and precision. Managed service gives you expert strategy, execution, and optimization, so your team stays focused on outcomes. White-label lets partners deliver performance CTV to their clients under their own brand, powered by Jamloop's infrastructure.

Whichever path fits your business, the 2026.5 release is the fastest way to see what an outcome-focused streaming 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.