Key Takeaways:
- In-store retail media is underinvested, representing just 3.3% of spend in 2025, despite driving new-to-brand conversion at nearly double the rate of brand websites.
- POS and checkout media deliver the strongest attribution, linking impressions to shopper IDs, basket data and repeat purchase behavior.
- Layer placements by purpose: front-of-store for reach, endcaps for category decisions, checkout screens for cross-sell.
- Omnichannel measurement requires authenticated identity, consented loyalty data and shared KPIs across shopper, e-commerce and brand teams.
The Store Is the Most Underused Media Channel
Most retail media budgets chase clicks, but most sales still happen in stores. Shoppers discover and decide in the aisle, yet spending stays skewed toward digital — a gap that costs retailers, brands and shoppers.
In-store discovery drives purchase faster than any digital channel. eMarketer data show that 48% of U.S. shoppers discover new brands in stores, ahead of e-commerce and social media. When discovery occurs in person, purchase follows quickly: 31.5% of in-store discoverers buy on the spot, compared with 19.1% on retail sites and 10.4% on brand sites.
Spending patterns don’t reflect that reality. In-store formats account for just 3.3% of retail media spend in 2025 (excluding Amazon’s online share), even as on-site search, off-site programmatic and connected TV continue to scale. The gap tracks with legacy structures: digital and shopper marketing often sit on separate teams with separate KPIs, overdelivering impressions online and underdelivering at the moment a shopper is ready to choose.
Who Benefits When Stores Become Media?
Everyone in the chain benefits. Shoppers get relevant prompts at the point of decision. Retailers turn high-intent traffic into attributable revenue. Advertisers get proof that exposure tied to a cart changes sales outcomes.
Physical retail compresses the gap between exposure and action. Shoppers compare and decide with products in hand, making the shelf the most underused part of most omnichannel plans.
For retailers, the fix is a single connected story: digital signal, in-aisle encounter, verified transaction. Use authenticated identity and loyalty data to link those touchpoints. When brands see the full chain, they know where to shift budget.
For brands, the fix is alignment. Shopper, e-commerce, brand, and performance teams need shared KPIs at the retailer level: total sales lift, category share, new-to-brand penetration, repeat rate, and media efficiency. Optimizing for ROAS in isolation loses the compound effect across touchpoints.
How Do You Build and Measure an In-Store Media Program That Works?
Start with placements closest to the transaction. POS and self-checkout screens offer the clearest ties between exposure and purchase. Each impression maps to a shopper ID and a basket, then to repeat behavior through loyalty records — a level of attribution that’s rare in digital alone.
Build your in-store portfolio around placement purpose. Front-of-store screens drive broad reach. Endcaps and aisle beacons nudge category decisions. Cooler doors and shelf strips work at the product level. Checkout handles cross-sell and loyalty. Apply strict frequency controls to keep messages useful.
Design creative for context, not feeds. Shoppers have just seconds before they make a decision. Use tight benefit language tied to the decision at hand: “cold brew that lasts all week” near bulk packs, “sugar free, same taste” where substitutes compete. Include a clear price, a simple value cue and an immediate action. Save storytelling for upper-funnel digital where dwell times allow it.
Time flights to store rhythms. Tie bursts to delivery schedules, seasonal resets and local events. Match digital retargeting windows to average days-to-visit by category, and use retailer data to reach lapsed buyers just before their usual restock cycle.
Strengthen your data spine. Reliable attribution depends on clean IDs, consented data, and consistent event logging across app, web and store. If identity match rates lag, start with closed-loop checkout media while improving upstream data collection.
Run controlled tests that randomize exposure at the device or shopper level. Track lift in units per store per week, new-to-brand share, and repeat within 30 to 60 days. Layer in category controls to catch halo or cannibalization effects. As identity links mature, expand to mid-aisle and perimeter screens with modeled attribution anchored to verified checkout transactions.
Budgeting should follow outcomes, not habit. If in-store exposure drives higher conversion and stronger new-to-brand rates, shift dollars from redundant upper-funnel retargeting to checkout and aisle formats — managing spend as one system that reallocates on blended marginal return, not channel silos.
Small and midsize retailers can start with a basic checkout media program, loyalty IDs tied to baskets and fixed packages, bundling on-site search with checkout impressions. National chains should unify the pitch: one contract, one data spec, one report across digital and physical, with published standards for creative, targeting, frequency and measurement.
Retail media proved itself online by proving it moved product. The same standard applies in stores. Connect digital signals to physical decisions, measure at checkout, and treat the store as a strategic channel. The plans that do will stop paying to reach shoppers and start helping them decide.
(Note: AI assisted in summarizing the key points for this story.)