ecommerce_ops · media · workflow
Dynamic Yield Predictive Targeting increases Revenue per User 54.1% for English sports team
The sports team was running ordinary A/B tests without per-segment personalization and had not yet identified the optimal Product Recommendations strategy for each audience segment.
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 · A/B test initiated
An ordinary A/B test is set up and converted into a personalization opportunity using Dynamic Yield's Predictive Targeting.
Tools used
Dynamic YieldPredictive Targeting
Outcome
Using Dynamic Yield's Predictive Targeting, the team automatically identified the winning test variation for each traffic segment and increased Revenue per User by 54.1% within a couple of weeks.
Results
Cost replaced54.1%
Grounding & classification
Source type: vendor customer story
14 fields verified against source quotes.
personalizationpredictive analyticsrecommendation systemmetric backedtools describedworkflow describedmediarevenue increasevendor customer storyecommerce opsmarketing opsextract classify route