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Suggested Recommendation Type

Suggested Recommendation Type shows which strategy identified a product match for customers using vintage, repurchase.

Updated over 3 weeks ago

Platform: Enolytics DTC

Summary:

What it is: Suggested Recommendation Type shows the recommendation strategy (or strategies) that identified a product as a strong match for a customer, with five types: vintage_continuation, repurchase_reminder, collaborative_filtering, price_tier_match, and varietal_preference. When multiple strategies align on the same product, they appear together (comma-separated), which typically indicates higher recommendation confidence.

How to use it:
β€’ Filter by recommendation type to understand which strategy drives your strongest conversions β€” vintage_continuation and repurchase_reminder typically convert best since they're based on established customer preferences
β€’ Analyze products with multiple recommendation types to identify your highest-confidence suggestions for personalized marketing campaigns

Tip: Products showing multiple recommendation types in a single record represent the sweet spot where different strategies converge β€” these are often your most reliable recommendations to prioritize.

Note: Parts of this article were generated with AI and may not be perfect. If something looks off or could be better, click the 😞 below β€” it opens a quick chat so you can let us know.


Quick Stats:

  • Type: string

  • Build Beyond Limits Group: Suggested Next Purchase


πŸ“ Description

The recommendation strategy or strategies that identified this product as a strong match for the customer. The five types, in order of typical conversion strength, are: vintage_continuation (customer collects multiple vintages of this wine), repurchase_reminder (customer regularly repurchases this wine), collaborative_filtering (similar customers bought this product), price_tier_match (product fits their typical spending range), and varietal_preference (matches their preferred wine varieties). Multiple types may appear together (comma-separated) when multiple strategies align on the same product, which typically strengthens the overall recommendation confidence.


πŸ“ Build Beyond Limits Group

Suggested Next Purchase

πŸ”— Other Dimensions in this Group


βš™οΈ Technical Details

Type: string


ℹ️ Additional Details

  • Created: 2026-02-14T22:02:49Z

  • Key: [dimension].[Suggested Recommendation Type]

  • ID: 9546991b-7e28-5157-9cd5-5316d955cf83


🏷️ Tags

  • Age

  • Suggested Next Purchase

  • Suggested Recommendation Type

  • Varietal

  • Vintage

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