BILD is a leading online retailer in Germany, specializing in providing apparel for every sports fanatic. To build unique experiences for each fan, BILD onboarded 3rd party data, personalized their homepage, served individualized recommendations and deployed targeted messaging across devices. Ultimately, BILD realized a 5X ROI from one use case while also driving major uplifts in conversion rate, CTR, and revenue per user.
To maximize revenue, BILD required a solution to
- Onboard 3rd party data to build advanced customer segments
- Craft experiences aligned with a user’s fandom
- Guide wayward users back to the path of purchase
- Test multiple recommendation strategies to maximize AOV
- Serve time-sensitive messages and offers to hike engagement
BILD then used Dynamic Yield to construct audiences in real-time based on events captured by the 3rd party provider. Activating their data with Dynamic Yield allowed BILD to discover opportunities by analyzing cohort size and revenue impact and laid the foundation for personalizing the fan journey.
Depending on website behavior, users were either shown recently viewed items or a sample of Sephora’s most popular products. This strategy paid off, driving more derived pageviews against a control group and 30% add to cart rates for returning visitors across all markets.
Using Dynamic Yield, BILD employed a hybrid strategy designed to maximize average order values. BILD served a combination of recommendations based on similar items, popular products and items often bought together, automatically updating recommendation units based on availability and price.
Choosing the right recommendation strategies for each user paid major dividends, culminating in a 5X ROI attributed to Dynamic Yield from this use case alone.
Inserting the page curl influenced hundreds of purchases in just one week and increased revenue per user by 27%.