Blog category

Search & Recommendations

Our writing on search & recommendations for eCommerce teams.

What semantic search is, how it differs from keyword search, and why it converts more of your highest-intent shoppers.

Embeddings, vectors and similarity — explained without the maths. A practical primer for commerce teams evaluating vector search.

Zero-result searches are pure lost revenue. Here's a systematic way to find, diagnose and eliminate them.

Where to place recommendations, which algorithms to use, and how to measure whether they're actually adding revenue.

Relevance isn't set-and-forget. A practical playbook for measuring and continuously improving on-site search relevance.

Collaborative filtering, content-based and hybrid approaches — how they differ, where each fits, and how to choose.

Searchers convert at several times the rate of browsers. Here's why on-site search deserves far more investment than it gets.

AI can rank and personalise at scale — but merchandisers still need control. Here's how to balance automation and intent.

Selling across borders means searching across languages. How to build search that works for every market you serve.

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