Albertsons Media Collective proves 19% incremental lift with in-store campaign measurement for Mondelēz

Albertsons Media Collective launched incrementality measurement within its retail media network, reporting a 19% incremental lift in sales for Mondelēz in-store campaigns, according to Marketing Dive. The retailer built test-and-control frameworks to isolate which shoppers bought because of the ad versus those who would have purchased anyway.

The mechanics: Albertsons splits stores into matched cohorts—some exposed to the campaign, others not—then compares transaction data at checkout. The network tracks SKU-level purchase behavior tied to specific media placements: shelf talkers, end-cap displays, receipt coupons. The result is a clean read on lift, removing the noise of baseline sales and seasonal trends. Mondelēz ran campaigns across multiple categories and store formats, and the incrementality framework attributed the 19% lift directly to media spend rather than promotional timing or existing brand loyalty.

This works because retail media has historically relied on last-touch attribution, which credits the final ad a shopper saw before purchase. That model inflates results when a customer was already planning to buy. Incrementality measurement compares actual behavior in test versus control groups, revealing whether the ad changed the outcome. For CPG brands spending on in-store campaigns, this shifts the conversation from impressions and reach to provable sales impact. Albertsons now offers this as a standard reporting layer, giving brands a direct line between media dollars and register receipts.

The broader mechanism: in-store retail media is harder to measure than digital because the conversion happens offline, often days after exposure. Traditional attribution models guess at influence. Incrementality testing removes the guess by creating a counterfactual—what would have happened without the ad. Albertsons controls for store traffic, regional buying patterns, and competitive activity, isolating the media variable. The test design matters: matched pairs must be statistically similar in demographics, store size, and historical sales. The network's scale—over 2,200 stores across 34 states, according to the company—provides the sample size to run clean experiments without contaminating results.

The steal for a small physical-product brand: you cannot run a 2,200-store test, but you can run a localized incrementality pilot with a regional retailer or direct-to-consumer channel. Identify two similar customer segments—geography, purchase history, email engagement—and expose one to your campaign while holding the other as control. If you sell through independent retailers, pick two matched stores and run point-of-sale signage in one, not the other. Track sales by SKU over 30 days. If you sell online, segment your email list by cohort: send the promotion to half, measure conversion against the holdout. The cost is near zero beyond your existing media spend; the insight is whether your ad actually moved the needle or just captured existing demand.

For brands with modest budgets, start with receipt-level data from a single retail partner or your Shopify dashboard. Export sales by day and customer cohort. Run your campaign in one group, hold the other as baseline. Calculate the difference in units sold per customer. If the test group bought 15% more and the control stayed flat, you have your lift. Document the result and use it to negotiate better shelf placement or co-op dollars with your retailer. The play scales: once you prove incrementality at small scale, you can justify bigger campaigns with cleaner ROI projections.

Albertsons plans to expand incrementality measurement across more categories and media formats, positioning the capability as a differentiator against Amazon and Walmart's retail media networks. For any brand spending on in-store or retailer-based campaigns, the lesson is to demand test-and-control measurement before signing the next media buy. Attribution tells you who saw the ad; incrementality tells you who bought because of it.