Platform: Enolytics DTC

Summary:

What it is: Suggestion Created Date captures the timestamp when a product first appeared in a contact's top-3 recommended next purchases. This tells you exactly when your recommendation engine identified this as a potential fit for each customer.

How to use it:
• Track how long it takes customers to act on recommendations by comparing suggestion dates to actual purchase dates
• Analyze seasonal patterns in your recommendation timing to optimize when you surface certain products to customers

Tip: Use this with purchase data to measure recommendation effectiveness - customers who buy soon after a suggestion date indicate your algorithm is working well for similar profiles.

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 — it opens a quick chat so you can let us know.

Quick Stats:

Timestamp when this product was first recommended to this contact (first appeared in their top-3 suggested next purchases). Sourced from the suggested_next_purchase_snapshot via MIN(dbt_valid_from). On the initial dbt run before snapshot data exists, falls back to recommendation_generated_at.

Type: timestamp

Format: mm/dd/yyyy