OOH gets a line in the mix model
Clear Channel Outdoor now feeds its RADAR exposure and delivery data into LiveRamp's cross-media measurement and TransUnion's mix modelling and attribution. For a small beauty network, the question it raises is whether its own data can reach a brand's model in a usable shape.
On 24 September 2026, Clear Channel Outdoor said its RADAR data platform now plugs into three measurement products that advertisers already use. These are LiveRamp’s Cross-Media Intelligence and TransUnion’s marketing mix modelling (MMM) and multi-touch attribution (MTA). Trade coverage carried on into October, with invidis writing it up on 2 October. No campaign result came with the announcement. What changed is where outdoor sits in a brand’s measurement. Until now, in Clear Channel’s own words, OOH usually reached those models as a spend line or an “offline/other” bucket. Now one large media owner is sending in delivery and exposure data instead.
That is a standards story more than a deal story. The models that decide next year’s budget are where a channel either gets credit or doesn’t, and a line that only shows spend is hard to credit with anything.
What happened
Three separate connections were announced. LiveRamp’s Cross-Media Intelligence, which LiveRamp launched in February 2025 as clean-room-based, deduplicated reporting across screens and platforms, now takes OOH exposure next to the other channels on a plan. TransUnion’s MMM takes Clear Channel’s delivery data, so the model sees how much outdoor actually ran, week by week and market by market, not only what it cost. TransUnion’s MTA takes exposure data matched against its identity data, so an OOH exposure can appear as a step in a customer path.
Statements from both partners are in the release. LiveRamp’s Adam Solomon talks about helping marketers “understand how OOH contributes alongside other channels”. TransUnion’s Julie Clark speaks of “more meaningful inputs” at “both the portfolio and customer levels”. RADAR itself is not new. Trade coverage dates it to 2016, when it was built on mobile location data. What is new is where its output goes.
This is not another currency story. National currencies, covered in our currency map and in our note on currencies relaunching in 2026, count who could have seen a board. This announcement is about the next step: getting that count into the advertiser’s own model. That is where budget gets moved.
What it means for beauty
- Big beauty budgets are set by models. Where a brand moves money with MMM, a channel that shows up only as spend has a weak case. The model has an invoice but no delivery curve to set against sales. Our work on why OOH amplifies digital shows outdoor’s effect often shows up in search and social. A model that can’t see outdoor delivery may hand that credit to the channels it can see. Clear Channel is fixing that for its own inventory, and every other outdoor line on the same plan now looks thinner beside it.
- For a salon or spa network, the bar is a file, not a pitch. The useful question is no longer “how many impressions?” but “can you send delivery by week, market and placement in a format a modelling vendor takes in?” The base layer already exists in the reporting discipline we set out in measuring and reporting to clients: plays and proof of play as fact, impressions as a disclosed estimate. Kept consistently over time, that is the start of an MMM input. Without it, a beauty network stays an “offline/other” line even when it is in the plan.
- Exposure-level attribution is a different and harder ask. MTA needs an exposure matched to an identity. For an in-venue network, that runs straight into the consent questions in our privacy and in-venue measurement research. A salon knows its client; that knowledge is not the network’s to pass to an identity graph. Aggregate delivery data for MMM is the realistic route for small networks. Person-level attribution is not.
The caveat that keeps us honest
This is a media owner’s announcement about its own inventory. Every factual detail comes from Clear Channel’s release, and “first OOH company in Cross-Media Intelligence” is its claim, which we have not independently checked. The data going in is still modelled. As our measurement maturity analysis sets out, OOH impressions are projections from location and movement data, not counts, and the integrations don’t change that. Getting into the model is also not the same as getting credit: an MMM can still give OOH a small coefficient. No match rates, results or prices were disclosed. Nothing beauty-specific is asserted here beyond what the linked Research supports.
Related: Measurement maturity: DOOH vs CTV vs display · OOH measurement currency map · Why OOH amplifies digital · Measuring & reporting to clients · Privacy & regulation of in-venue measurement · OOH measurement currencies are relaunching