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Recommendation & Personalization

Show every customer what they are most likely to want next

Recommendation and personalization systems built into your existing storefront, app and email, using your own behaviour data. We have designed, built and operated these inside live e-commerce platforms, and we measure them by revenue.

Discuss your use case
Why it matters

The problems recommendations solve

Customers can't find the right product

Large catalogues hide the items each customer would actually buy. Recommendations surface them without search.

Average order value is flat

Bundles, complements and "complete the set" placements raise basket size at the moments that matter.

Every customer sees the same site

Personalised home pages, categories and emails make returning customers feel known and convert better.

Marketing is guesswork

Next-best-product and back-in-stock signals give email and ads something relevant to say to each person.

What we deliver

A working system, not a slide deck

We build the full chain, from collecting the right signals to serving results in milliseconds and proving the uplift.

01
Signal collection and customer profiles Event tracking across web, app and orders, resolved into a profile per customer. Built on your CDP if you have one, or as a lightweight data layer if you don't.
02
Recommendation strategies per placement Similar items, frequently bought together, personalised picks, trending, recently viewed, next-best offer. The right strategy for each page, with merchandising rules on top.
03
Fast, reliable serving Results served from cache and queues so pages stay fast under load, with fallbacks when data is thin, for new customers and new products.
04
Personalised journeys and email Segments and recommendations pushed into your email and marketing tools, so campaigns speak to each customer with relevant products.
05
A/B testing and reporting Every placement is tested against a control and reported on click-through, conversion and revenue, so you know exactly what it is worth.
Measured in production

What changes when recommendations are done properly

Every placement is measured against a control, so you see exactly what it contributes.

More of the catalogue sells Customers find products they would never have searched for, so long-tail items move.
Bigger baskets Complements and bundles raise order value at the moments that matter.
Revenue you can attribute Click-through, conversion and revenue per placement, reported against a control.

Works best together with

Customer Data & CDP The unified profile that feeds every recommendation. Search & Discovery Personalised ranking inside search results. E-commerce Solutions The platform the recommendations live in.

See what recommendations could do for your store

Share your platform and traffic, and we will outline the placements, the data needed and the expected uplift.

Request an assessment