Ecommerce Ads: The Secret to Success Lies in Signal Quality

Optimizing ecommerce ads is not just about creative testing and bid tweaking. Brands often chase the wrong thread, swapping out creative every two weeks and testing new bid strategies each month without seeing a significant impact on return on ad spend (ROAS). According to Reggie Panaligan, Director of Mid-Market Commerce at Google, this is because platforms like Google, Meta, and Snapchat rely on machine learning systems that can only optimize what they can see.

The key to improving ecommerce ad performance lies in strengthening the data foundation and signal quality. This means building a complete and accurate set of data points that platforms use to understand who converted, what they bought, and how they got there. Panaligan warned that brands that feed platforms low-quality data are 'artificially placing caps on the machine,' slowing down its ability to learn what's working.

Fintan Gillespie, Global Director of Ad Partnership at Snapchat, emphasized the importance of using both pixel and CAPI (Conversions API) to capture a complete set of signals. Pixel captures browser-side behavior and on-site engagement signals, while CAPI captures conversion events that might be missed by the pixel. Brands running both saw a 20% lift in CPA among Snapchat's web direct-response advertisers.

Other key takeaways include:

Confirming pixel firing on every key event: page view, add to cart, initiate checkout, purchase

Setting up server-side CAPI through native integration or tools like Triple Whale

Matching pixel and CAPI events by ID to avoid double-counting the same conversion

Auditing signal quality by checking event match quality scores from each platform's ads manager

Pulling in customer list exclusions to prevent existing buyers from being served new-customer-targeted ads