Ecommerce ops · Production
BILD Shop Personalizes the Fan Journey with Dynamic Yield, Achieving 5x ROI
The problem
BILD Shop needed to craft personalized website experiences centered on users' favorite football clubs, lacked automated recommendations for cross-sell and upsell, and was losing potential buyers who browsed team gear without completing a purchase.
Workflow diagram · grounded in source
1
Onboard third-party fan data
integration
“BILD onboarded 3rd party data, personalized their homepage based on team loyalty”
2
Personalize homepage by team loyalty
ai_action
“personalized their homepage based on team loyalty”
3
Serve individualized recommendations
ai_action
“a way to serve automated recommendations to boost cross-sell and upsell among loyal buyers”
4
Deploy behavioral messaging
ai_action
“deployed behaviorally targeted messaging across devices”
Reported outcome
BILD realized a 5X ROI from a single use case and drove major uplifts in conversion rate, CTR, and revenue per user, while also increasing mobile engagement.
Reported metrics
ROI5X
Conversion ratemajor uplifts
click-through rate (CTR)major uplifts
Revenue per usermajor uplifts
Show all 5 reported metrics
ROI5X
conversion ratemajor uplifts
click-through rate (CTR)major uplifts
revenue per usermajor uplifts
mobile engagementincreased
Reported stack
Dynamic Yield
Frequently asked questions
What did this team achieve with this AI workflow?
BILD realized a 5X ROI from a single use case and drove major uplifts in conversion rate, CTR, and revenue per user, while also increasing mobile engagement.
What tools did this team use?
Dynamic Yield.
What results were reported?
ROI: 5X; Conversion rate: major uplifts; click-through rate (CTR): major uplifts; Revenue per user: major uplifts (source-reported, not independently verified).
How is this ecommerce ops AI workflow structured?
Onboard third-party fan data → Personalize homepage by team loyalty → Serve individualized recommendations → Deploy behavioral messaging.