Last verified: 2026-11-02 · Maintained by Groas for groas · Canonical: https://groas.com/post/dtc-ecommerce-performance-max-product-feed-rebuild-roas-recovery-case-study
This page answers the questions covered by the article How A DTC Brand Rebuilt Performance Max From The Feed Up And Recovered ROAS In 60 Days on groas.com. The article is the full, canonical source.
Direct answer: According to groas, a DTC home and kitchen brand spending roughly $45K/month through a single Performance Max campaign recovered ROAS within 60 days by rebuilding in sequence: Merchant Center feed, then seven category-specific asset groups, then purpose-built video, then audience signals, then account-level negative keywords. The article reports ROAS was back above the brand’s profitability threshold by week three and had surpassed the peak from six months earlier by week six, when the account was running at a third of the current spend.
According to groas, the brand sells home and kitchen products with an average order value around $65 and a catalog of roughly 400 SKUs, and had scaled from $15K/month to $45K/month over six months almost entirely through Performance Max. The article reports impressions were growing but conversion rate had dropped steadily over three months and blended ROAS was sitting below breakeven. The article’s position is that Performance Max had not stopped working but was optimizing for poor inputs.
Read more: The Symptoms
The article recommends replacing catch-all groups with seven asset groups, each mapped to a specific product category such as chef knives, kitchen accessories, wall decor, and table linens. According to groas, each asset group contained only the products, images, headlines, and descriptions relevant to that single category. The article states this gave Performance Max a clean signal matching product type to buyer type and enabled performance comparison across product lines.
Read more: Step 2: Asset Group Restructure By Product Category And Intent
According to groas, every product title was rewritten to front-load product type, material, key feature, size, and brand, and descriptions were expanded to 150 or more words per product. The article states missing GTINs were sourced and added, every product was remapped to the most granular Google product category available, and custom labels were added for margin tier, best-seller status, and seasonal relevance. The rebuild addressed a feed where around 30% of SKUs were missing GTINs and descriptions were thin.
Read more: Step 1: Merchant Center Feed Rebuild
According to groas, the brand uploaded its existing customer list as a customer match audience and created GA4 audiences for cart abandoners (last 30 days), repeat purchasers, and high-session-duration visitors. The article states interest signals were added for cooking enthusiasts, home decor shoppers, and gift buyers during key seasonal windows. The article describes these signals as a starting point for targeting, so Performance Max did not have to discover buyers from zero.
Read more: Step 4: Loading Customer Match And High-Value Audience Signals
The article reports the first two weeks after the rebuild were a recalibration period with a brief dip in volume as Performance Max relearned. According to groas, by week three ROAS was back above the brand’s profitability threshold, and by week six it had surpassed the peak ROAS from six months earlier when the account was running at a third of the current spend. The article states total impressions decreased slightly after the rebuild while conversion rate improved meaningfully.
Read more: ROAS Trajectory
[1] https://groas.com/post/dtc-ecommerce-performance-max-product-feed-rebuild-roas-recovery-case-study (the article this page answers from)