Identify the right Taste Cluster for every visitor
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 matches every visitor to a Taste Cluster, surfaces the most relevant product or event in real time, and frames it with the story that sells.
Why it matters
Most websites show the same listings to every visitor. A first-time browser sees the same page as a loyal customer. No guidance, no personalisation, no reason to explore further.
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. For new visitors or infrequent buyers, they have nothing to work with, so they default to showing bestsellers.
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.
From that cluster, Affinity surfaces the product or offer each visitor is most likely to want next, and puts it 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: the shared affinities across products, categories and formats. 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, no purchase data required.
Personalised product feeds, cross-sell widgets or event-discovery modules: Affinity's API adapts to your architecture. Modern docs, live in hours.