When DOOH or retail media earns a place
Search and social are usually the first lines of a local acquisition plan because they are cheap to start and easy to read. Digital out-of-home and retail media cost more to enter and are harder to measure, so they should come in when a specific condition is met: buyers concentrated in a known area, a product already sold through a retailer, or search demand that has stopped growing with spend. Before booking, calculate the lift the campaign must produce to pay for itself and check that the test can detect it.
Executive findings
- 1
IAB Tech Lab added digital out-of-home to the OpenRTB 2.x specification, developed with out-of-home trade bodies, so DOOH screens can be bought programmatically through standard bid requests.
Documented: official source. Scope: Programmatic DOOH buying standards, as of . [1]
- 2
The IAB/MRC Retail Media Measurement Guidelines, final version published in early 2024, set expectations for how retail media networks report, including attribution windows and incrementality.
Secondary source. Scope: Retail media measurement standards (US-led, used internationally), as of . [3]
- 3
IAB and IAB Europe published In-Store Retail Media definitions and measurement standards in December 2024 for screens and media inside physical stores.
Secondary source. Scope: In-store retail media, US and Europe, as of . [4]
- 4
In our illustrative geo test, a 15,000 DOOH flight needs roughly a 14% lift in orders in exposed areas to break even. A test that can only detect lifts above 20% cannot answer the question.
Illustrative model, not a benchmark. Scope: FOCUSADS worked model with labelled assumptions, not a benchmark, as of
Method and limitations
- Question
- Under what conditions should DOOH or retail media take budget from search and social in a local acquisition plan?
- Written for
- Retail marketing managers, multi-location operators and performance leads with a local or regional footprint.
- Decision at stake
- Whether to book a DOOH flight or a retail media campaign this quarter, at what size, and how to judge it.
- Sources
- IAB Tech Lab material on DOOH in OpenRTB, IAB/MRC retail media and IAB in-store retail media standards, IAB guidance on incremental measurement in commerce media, and Google’s Meridian documentation for geo-level modelling.
- Period
- Standards and documentation as published on 2026-10-17.
- Markets
- All 32 FOCUSADS markets; DOOH inventory and retail networks must be checked per city and retailer.
- Definitions
- DOOH: digital screens in public places (roadside, transit, malls, venues), bought directly from the media owner or programmatically.
- Retail media: advertising sold by a retailer or marketplace on its own site, app, stores or data.
- Break-even lift: the increase in outcomes in exposed areas needed for contribution to cover the media cost.
- Limitations
- We publish no CPM or audience figures: they vary by city, owner and date and must be quoted by the media owner.
- Geo tests need comparable areas. Single-store businesses may not be able to run one and should rely on pre/post comparisons with stated caveats.
- Retail media measurement standards are voluntary; check which ones a given network follows.
Entry conditions for digital out-of-home
FOCUSADS view
DOOH earns a place when three things are true. Buyers live or work in a territory you can draw on a map. The message is simple enough to read in a few seconds: an opening, a price, a reason to search the brand. And there are comparable areas you can leave dark to measure the effect.
Programmatic access through OpenRTB makes small, short flights possible, which helps testing. It also makes it easy to buy screens nobody in the target area passes. Ask for the screen list with locations before the flight starts.
Entry conditions for retail media
FOCUSADS view
Retail media works best for products already listed with that retailer, because the ad sits next to a buy button and the retailer can report sales. If the product is not listed, the cost of getting listed belongs in the plan as a separate line.
Ask each network which attribution window it uses, whether it reports halo sales of other products, and whether it offers a holdout. The IAB/MRC guidelines give a vocabulary for that conversation. The IAB guidance on incremental measurement in commerce media describes the test-and-control designs to request.
Worked model: the lift a DOOH flight must show
Illustrative model, not a benchmark
A business with eight comparable service areas puts DOOH in four and holds out four for four weeks. The question for the test is whether exposed areas grow enough more than held-out areas to pay for the screens.
| Line | Value | How it is calculated |
|---|---|---|
| DOOH flight cost, four weeks | 15,000 | Assumption: media plus production |
| Contribution per incremental order | 45 | Assumption: after cost of goods and fulfilment |
| Incremental orders needed to break even | 334 | 15,000 ÷ 45, rounded up |
| Expected orders in exposed areas without DOOH | 2,400 | Four areas × 600, from the held-out trend |
| Break-even lift | 13.9% | 334 ÷ 2,400 |
Assumptions
- Contribution per order 45 and baseline 600 orders per area per four weeks are placeholders for your own data.
- Areas are matched on past order trend; the held-out areas give the counterfactual.
- Effects after the flight ends are ignored, which understates the return if there is a carry-over.
Can the test see the answer?
FOCUSADS view
Week-to-week noise in area orders sets the smallest lift a test can detect. If areas routinely swing by 20% for reasons unrelated to media, a 14% break-even lift will not be readable in four weeks. The options are a longer flight, more areas, a larger flight that targets a bigger lift, or a different channel. A geo-level model such as Google’s open-source Meridian can combine several flights over time, but it still needs variation in spend across areas to learn from.
What we would test, in order
| Step | Measured by | Counts as success when |
|---|---|---|
| Map the service territory and match exposed and held-out areas on twelve weeks of order history. | Week-to-week variation in orders per area. | The detectable lift at the planned flight length is below the break-even lift. |
| Book the DOOH flight with a screen list and run it in exposed areas only. | Orders, branded search volume and store visits in exposed against held-out areas. | Exposed areas beat held-out areas by at least the break-even lift. |
| For retail media, request the network’s attribution window and a holdout before launch. | Incremental retailer sales for the advertised products, net of retailer margin. | Incremental contribution covers media and any listing cost within the agreed period. |
Entry checklist
Both channels can be good buys. These rows decide whether they are good buys now.
| Condition | DOOH | Retail media |
|---|---|---|
| Buyers concentrated in a mapped area | Required | Helpful |
| Product sold through the network’s retailer | Not needed | Required, or listing cost budgeted |
| Search demand flat as spend rises | Strong reason to add | Strong reason to add |
| Comparable held-out areas or audiences | Required for measurement | Ask the network for a holdout |
| Creative readable in seconds | Required | Product imagery and price |
| Budget covers break-even lift test | Required | Required |
How this connects to our method: Assign every channel a role
References
- Digital Out of Home is now integrated into OpenRTB, IAB Tech Lab, accessed
- OpenRTB, IAB Tech Lab, accessed
- IAB/MRC Retail Media Measurement Guidelines, IAB and Media Rating Council, accessed
- In-Store Retail Media: Definitions and Measurement Standards, IAB and IAB Europe, accessed
- Guidelines for Incremental Measurement in Commerce Media, IAB, accessed
- Meridian: open-source marketing mix model, Google for Developers, accessed