ecommerce_ops · ecommerce · workflow
APMEX drives double-digit growth with Dynamic Yield personalization
APMEX had a diverse customer base and an enormously large product catalog, and lacked a sophisticated enough understanding of user motivations to serve targeted promotions across different segments.
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 · Shopper motivation discovery
APMEX turned to Dynamic Yield to discover the real motivations of its shoppers.
Tools used
Dynamic Yield
Outcome
Key financial metrics including conversion rate, average order value, and revenue per session increased between 5-7% through Dynamic Yield's personalization capabilities.
Results
Volume5-7%
Cost replaced5-7%
Grounding & classification
Source type: vendor customer story
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personalizationrecommendation systemproduct catalogmetric backednamed customertools describedworkflow describedecommercefinancial servicesconversion increaserevenue increasevendor customer storyecommerce opsmarketing opsextract classify route