ecommerce_ops · ecommerce · workflow
BILD Shop Personalizes the Fan Journey with Dynamic Yield, Achieving 5x ROI
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Onboard third-party fan data
BILD onboarded third-party data to identify users' favorite football clubs.
Tools used
Dynamic Yield
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.
Results
Volume5X
Cost replacedmajor uplifts
Grounding & classification
Source type: vendor customer story
22 fields verified against source quotes.
personalizationrecommendation systemproduct catalogmetric backednamed customertools describedvendor confirmedworkflow describedecommerceretailconversion increaserevenue increasethroughput increasevendor customer storyecommerce opsmarketing opsdata sync enrichment