AI Trace
Recommendation SystemVerified

Reviewed and published by trentmaziarz, July 9, 2026. Discovered and drafted by our automated research pipeline.

Klaviyo offers an AI-powered 'next best product' recommendation engine that analyzes each shopper's purchase history and browsing behavior to surface individualized product suggestions inside marketing emails, SMS messages, push notifications, WhatsApp campaigns, and on-site via Customer Hub. The feature is generally available in email and mobile channels.

Details

The recommendation engine uses collaborative filtering — analyzing what a customer has bought alongside patterns of what similar customers purchased next — to predict which products each individual is most likely to buy. Product recommendation models are retrained every 2–7 days. The 'next best product' block can be inserted into any email template or automated flow, and as of 2026 it also works in SMS, RCS, and WhatsApp campaigns. Customer Hub (an on-site widget) also displays personalized product recommendations for logged-in shoppers. In-conversation recommendations are also delivered in real time through Customer Agent.

Products affected

Klaviyo MarketingKlaviyo Data PlatformCustomer HubCustomer Agent

Sources & Evidence

Cite this record

Trace Foundation. (2026). Klaviyo: Klaviyo offers an AI-powered 'next best product' recommendation engine that analyzes each shopper's purchase history and browsing behavior to surface individualized product suggestions inside marketing emails, SMS messages, push notifications, WhatsApp campaigns, and on-site via Customer Hub. The feature is generally available in email and mobile channels (data as of 2026-07-09) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/d7c71c59-87e2-4709-94e3-b4dce19d2135. Accessed October 7, 2026.

Stable link
https://www.aitrace.org/r/practice/d7c71c59-87e2-4709-94e3-b4dce19d2135
Data as of
July 9, 2026
Last verified
Not recorded

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