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Predictive Affinity

Predict what your customers like

Create your own AI models to predict each customer's affinity with any product attribute.

What does Predictive Affinity do?

Predictive Affinity allows you to understand what product attributes - such as brand, category, destination, price point and more each customer has an affinity with.

By comparing what other similar customers are also interested in we are able to understand their preferences even if the customer hasn’t previously purchased from that attribute before.

While traditional personalisation techniques focus on replaying what the customer has purchased in the past, using this approach allows you to promote a wider range of your catalog staying relevant without ‘batch & blast’

Target beyond past bought categories
Surface hidden customer tastes
Predict affinity with any attribute
Optimise models for peak accuracy
Segment with affinity inside your ESP

Predictive Affinity Features

AI you can control & explain

No Black Boxes - you choose the inputs, tuning & rules - and understand exactly how you arrived at the predictions.

Evaluate & optimise

Use control data to score the effectiveness of your predictive model, and automatically optimise with 11 adjustable tuning parameters.

Blend AI with your rules

Use predictions as just one of the inputs, combining with your business rules & customer data.

Segment with Affinity

Use predictive affinity scores within your segmentation inside of your ESP.

Integrates where you already work