Every ecommerce platform claims AI-powered personalization. Very few deliver meaningful results. Here's what separates the signal from the noise.
The Personalization Hype Gap
The gap between promise and delivery usually comes down to data quality. Personalization algorithms are only as good as the signals they're trained on. Brands with thin purchase histories and fragmented customer data will get mediocre results regardless of how sophisticated their personalization engine is.
Where Personalization Actually Delivers
The personalization use cases with the most consistent ROI are the most unsexy: search ranking personalization, email send time optimization, and browse abandonment sequences. These work because they operate at high frequency and are easy to measure.