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On the wire
The Stash EdgeJOHNNIE BLUESeptember 16, 20262 min readAd-free

Kantar study: Retail media networks deliver 92% more first-party data value than conversion lift alone

Brands mining customer insight from retail platforms outperform those chasing transaction volume, Kantar research finds.

Jenny Huang Goodman MPA MSc MHSAThe Stash Edge · Huang GoodmanSource: Kantar ↗
Edgar's SEC data profile {actuarial version}
In plain words

Retail media value compounds when brands mine first-party behavioral data, not just chase conversion volume.

92% more
long-term value than those optimized solely for conversion lift
34% faster
time-to-market on line extensions compared to brands relying on…
$500–$1,000
for a four-week sponsored product test

Kantar's 2025 research reveals that retail media networks and social commerce platforms drive measurable sales growth, but the brands extracting the highest return are those treating these channels as data collection infrastructure rather than pure transaction engines. According to Kantar, platforms that enable direct brand participation—where the brand controls the customer relationship and captures first-party behavioral data—deliver 92% more long-term value than those optimized solely for conversion lift.

The mechanism: When a brand sells through a retail media network like Amazon Ads, Walmart Connect, or Instacart's Carrot Ads, the platform records not just purchase but also search terms, abandoned carts, time on page, and cross-shop behavior. Brands that negotiate data-sharing agreements or operate storefronts within these networks gain access to anonymized customer signals unavailable through traditional retail placement. Kantar's research shows these signals improve product development, pricing strategy, and retention campaigns more effectively than post-purchase survey data.

Why this works: Retail media networks sit at the intersection of high purchase intent and logged-in user behavior. A shopper searching for "organic dog treats grain-free" on Instacart is signaling need, budget, and dietary preference in real time. Brands that capture this signal can refine SKU assortment, adjust pack size, or test messaging variants in weeks, not quarters. Kantar notes that brands using retail media data to inform product roadmaps see 34% faster time-to-market on line extensions compared to brands relying on traditional focus groups.

The steal for a small physical-product brand: Start with one retail media network where your product already has distribution or can secure a试listing. If you sell dog treats and have a wholesale account with a regional grocer using Instacart, contact your buyer and request access to Carrot Ads or the grocer's in-house retail media dashboard. Budget $500–$1,000 for a four-week sponsored product test. Your goal is not immediate ROAS—it's data. Run three ad variants with different benefit callouts ("grain-free," "vet-recommended," "single-ingredient"). Track which search terms generate impressions, which drive add-to-cart, and which convert. Export this data weekly. Within 30 days, you'll know which benefit resonates, which pack size moves, and which customer cohort (urban vs. suburban, repeat vs. trial) responds. Use that insight to brief your next production run, adjust your Amazon detail page, or pitch a new retailer with a data-backed story. If the platform doesn't offer self-service data export, request a monthly report from your account rep. Most retail media networks provide at least summary metrics to participating brands.

The broader pattern: Retail media is maturing from a pay-to-play visibility tax into a customer intelligence layer. Brands that treat it as a listening post—running small tests, capturing signals, feeding insights back into product and messaging—compound advantage quarter over quarter. Kantar's research suggests this shift is permanent: as third-party cookies disappear and privacy regulations tighten, first-party data from high-intent retail environments becomes the scarcest, most defensible asset a physical-product brand can own. The next move is to map your current retail footprint against available retail media platforms, identify one where you can secure data access, and allocate a modest test budget to start the feedback loop.

Steal this — share it
Branded by POPS4 · proof in 60 seconds
For the principal

Run a $500 four-week retail media test, export search and cart data weekly, then adjust your next SKU or pack size from real signals.

For the operator

Negotiate data-sharing terms in retail media contracts upfront; treat platform spend as customer research budget, not pure acquisition cost.

For the house

Request anonymized purchase and search data from retail media vendors before signing; use it to forecast demand and refine assortment planning cycles.

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Sources and method
  • Primary report: Kantar, September 16, 2026.
  • Written with artificial intelligence from public sources and published without individual human review. Corrections: jenny@pops4.com.
retail mediafirst-party datasocial commercecustomer insightchannel strategy

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