# Milani Cosmetics reallocates retail media spend beyond Amazon — 41% of beauty brands now prioritize retailer-specific networks *The color cosmetics brand shifted budget toward Target and Walmart networks where attribution tied directly to shelf velocity.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-08-27. Canonical: https://www.pops4.com/stash/articles/milani-cosmetics-2026-08-27t06-4 Subject: Milani Cosmetics Tags: retail media, attribution, mass retail, shelf velocity, closed-loop marketing --- Milani Cosmetics moved retail media dollars away from Amazon's dominant ad platform and into Target and Walmart's owned networks in 2025, a bet that paid off in measurable shelf turn at mass retail, according to the 2026 Retail Media Marketing Guide published by Modern Retail. The brand cited clearer attribution between digital impression and same-store pickup as the deciding factor. Milani runs display and search placements inside Target's Roundel network and Walmart Connect, concentrating spend on high-turnover SKUs like lip and eye palettes during promotional windows. The brand pairs each campaign with in-store endcap placement, tracking which digital exposures correlate with scan data at point of sale. Modern Retail reports that this closed-loop approach let Milani tie **$1** in media spend to a specific lift in basket attach rate, a metric Amazon's attribution model does not surface at SKU level for brands selling through multiple mass retailers. The mechanism works because Target and Walmart control both the digital ad surface and the physical shelf. When a shopper sees a Milani lip product in a Roundel banner, then walks into a store two days later, the retailer's first-party data connects those dots. Amazon lacks that last mile: a shopper may click an ad, but if she buys the same product at Walgreens, Amazon's system shows no conversion. For a brand distributed primarily in mass and drugstore channels, that gap matters. Retailers also share granular performance data with brands who spend above threshold. Milani receives weekly dashboards showing which creative drove incremental units per store, which dayparts converted, and which zip codes indexed highest. That feedback loop lets the brand optimize creative mid-flight and shift budget between metro clusters, something Amazon's aggregated reporting does not enable at the same resolution. A small physical-product brand can run the same play on a smaller scale. Start with one retailer where you already have shelf presence and whose retail media network offers self-service access — Target Roundel and Walmart Connect both accept brands spending as little as **$500** per campaign. Log into the ad platform, upload creative showing your product in context, and target a **10-mile** radius around stores where your SKU is stocked. Set the campaign to run Thursday through Sunday, the highest-traffic days for impulse categories, and tag it with your product UPC so the system can match impression to scan. Track two numbers: cost per impression and incremental units sold per store during the flight versus the prior four-week average. If the lift exceeds your media cost divided by gross margin per unit, you have a positive return. Use that proof to negotiate endcap placement with the category buyer, then run the next flight during that endcap window to compound the effect. Repeat for your top three SKUs. The entire test costs under **$2,000** and produces a read in three weeks. The broader pattern: retail media spend is fragmenting as brands chase attribution over reach. Modern Retail notes that marketers are now asking which networks close the loop from click to cart, not which networks have the largest audience. That shift favors retailers who own the shelf. ## The takeaway Milani moved ad spend to Target and Walmart networks because those retailers connect digital impression to in-store purchase at SKU level. --- ## Publisher **Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339. Principal and author: **Jenny Huang Goodman MPA MSc MHSA**. - Author: https://www.huanggoodman.com/about - LLM context: https://www.pops4.com/stash/llms.txt - MCP endpoint, for AI agents: https://mcp.pops4.com/mcp - Client dashboard: https://dashboard.pops4.com/ - Catalogue: 70,000+ products, 200+ brands