Match every visitor to the right Taste Cluster
Affinity places each visitor in a Taste Cluster based on their site behaviour and/or their past user and transaction data.
Affinity | Product Recommendations API Affinity highlights the most relevant offer for every website visitor — paired with the message that drives the sale.
Why it matters
When first-time visitors see the same content as regulars, few have a reason to keep browsing.
Visitors who know what they want use search. But the biggest revenue opportunity is helping people discover things they didn't know they'd love. That requires intelligent recommendations.
Traditional recommendation engines need extensive purchase history, but new or infrequent visitors leave them with nothing to work with.
How it works
Affinity matches behaviour to a Taste Cluster, picks the offer that fits, and frames it in a way that converts.
Affinity places each visitor in a Taste Cluster based on their site behaviour and/or their past user and transaction data.
For each cluster, Affinity puts the most relevant product or offer front and centre.
Affinity frames the recommendation with the right message about why this pick fits this person, so the visit turns into a purchase.
Technology
Affinity models the real motivations behind every choice. So it recommends the right next pick even for first-time visitors.
Every visitor is scored live, session by session, so the recommendation reflects what they're interested in right now, not a stale profile.
Because it runs on taste rather than history, Affinity works from the very first visit — even without purchase data.
Whether personalised product feeds, cross-sell widgets or event discovery: Affinity's API adapts to your architecture.