BabyDan measured an 11.6% Amazon sales increase

One Amazon manager was responsible for roughly 100 ASINs across European and North American marketplaces. BabyDan needed a scalable way to improve catalog performance despite limited resources, language barriers, and the time required for rigorous split testing.

BabyDan tested Perci on its best-selling product in Germany. The original listing exact-matched seven keywords. Perci's research identified additional opportunities, and the optimized title and bullets increased that coverage to 17 keywords.

Sales increased 11.6% while traffic remained consistent, indicating that the improvement came from stronger conversion on the existing shopper traffic. The optimized listing also expanded its exact-match keyword coverage from seven terms to 17.

“The significant sales increase we saw with our bestseller proved the value of AI-driven optimization.”

Esben Thanning-Dahl, Amazon Marketplace Manager, BabyDan

After the test, BabyDan began applying Perci across the wider catalog to support continuous testing, multilingual optimization, and consistent standards across marketplaces.