# TripleLift offsite retail media drove 60% new customer acquisition for beauty, toys, food brands *Retail media networks now sell your product beyond the retailer's site, with documented ROI across four categories.* By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC. Published 2026-07-23. Canonical: https://www.pops4.com/stash/articles/triplelift-2026-07-23t03-2 Subject: TripleLift Tags: retail media, offsite advertising, new customer acquisition, amazon advertising, distribution --- TripleLift published case studies in June 2026 showing its offsite retail media network delivered measurable new customer growth and return on ad spend for global brands in beauty, toys, food and beverage, and home and living, according to PR Newswire via Morningstar. The platform moves retail media inventory beyond the retailer's own site, placing product ads across the open web while maintaining retailer attribution and first-party data. The platform allows brands selling through major retailers to advertise those products on external publisher sites, using the retailer's transaction data for targeting and measurement. A beauty brand reported **60% of purchasers were new customers**, while a toy manufacturer documented measurable return on ad spend during a seasonal campaign. A food and beverage brand saw lift in both brand awareness and conversion, and a home and living company achieved performance benchmarks that justified increased budget allocation. TripleLift did not disclose client names or absolute dollar figures, but the case studies document cross-category proof of concept for offsite retail media as a performance channel. The mechanism works because it separates the discovery environment from the purchase environment while keeping attribution intact. Most retail media campaigns run on the retailer's site, competing for attention against hundreds of other products in a high-intent, low-browse setting. Offsite retail media places those same shoppable ads on recipe blogs, news sites, and vertical publishers where the audience is not yet shopping, capturing demand earlier in the journey. The retailer provides first-party purchase data for targeting, and the advertiser pays only when the ad drives a retailer transaction. The model scales because it borrows publisher inventory at programmatic rates, and the attribution closes the loop without requiring the brand to build its own direct-to-consumer infrastructure. A small physical-product brand can run the same play through Amazon's offsite display network or Walmart Connect's offsite offerings, both of which operate on similar mechanics. Start by exporting your top **20 ASINs or SKUs** by margin, then load them into the retailer's offsite campaign builder with a daily budget of **50 dollars**. Set the targeting to lookalike audiences based on your existing purchasers, and cap frequency at two impressions per user per week to avoid waste. Let the campaign run for **14 days**, then pull the new-to-brand customer report from the retailer dashboard. If more than **40% of converters are new**, double the budget and expand to your next **20 products**. If the new customer rate is below **30%**, tighten the lookalike to your top decile of repeat buyers and retest. The cost per new customer will be higher than onsite retail media, but the incrementality justifies it if your lifetime value supports a **50 to 70 dollar** acquisition cost. Offsite retail media is becoming table stakes for brands that treat retail partnerships as distribution rather than just shelf space. The next move is to map which of your retailer partners offers an offsite network, rank them by your existing sales velocity on their platform, and test the top two before the next peak season. ## The takeaway Offsite retail media networks let you advertise your products across the web using retailer data and attribution, with documented new customer rates above **40%**. --- ## 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