DataFeedWatch

What Stevin gets out of DataFeedWatch

DataFeedWatch optimizes feeds for a lot of channels and has a strong point many feed tools lack: you can A/B test product titles and measure the impact of a change. That lifts feed work from guessing to testing. The limit is not in the tool, but in what is missing around it. The test shows that title A clicks better than title B, but whether that click also converts and turns a profit sits in your campaign data, not in DataFeedWatch. Teams get stuck there: they optimize for click-through and lose sight of conversion. Stevin combines DataFeedWatch's feed optimization with your campaign performance. It reads both via API and proposes which titles and descriptions deliver not just more clicks but more revenue, so a feed change rests on the whole funnel. The consultant sees the proposal before it goes live.

What you pair it with

DataFeedWatch covers feed optimization across many channels and gives you real testing options, so it is more than a pass-through. But it measures up to the click: what happens after that sits in your ad and webshop data. Count on a link that brings conversion back to your title tests, otherwise you optimize at the wrong end of the funnel. The gain is in feed tests that do not stop at CTR but run through to revenue. Without that link you pick the title that clicks best, not the title that sells the most.

Common mistakes

• →Optimizing product titles on click-through and losing sight of conversion.
• →Declaring a title test the winner on the click without the revenue alongside.
• →Not bringing the conversion data back to your feed tests.
• →Optimizing at the wrong end of the funnel.