Guides, analyses and best practices on internal search, searchandising and AI applied to e-commerce.
Every word typed into your search bar is a purchase intent. GA4 collects them for free: how to enable tracking, read the data and turn it into action.
A search engine only finds what your data describes. The 5 product page mistakes (titles, descriptions, attributes, categories, variants) that make your products unfindable.
Your catalog says "refrigerator", your customer types "fridge". How manual synonyms and Vertex AI automatic ML expansion work together to fix vocabulary mismatches.
BM25, semantic, hybrid, ML ranking: understand the 4 main algorithm families to better diagnose your search engine and make the right choice.
Over 60% of e-commerce traffic comes from mobile, yet conversion rates are 2 to 3 times lower than desktop. Your search bar is a major factor.
Between 10 and 25% of e-commerce searches return zero results. Causes, measurement tools and concrete solutions to turn an impasse into an opportunity.
Placement, autocomplete, typo tolerance, key metrics and common mistakes: everything you need to turn your search bar into a conversion engine.
A concrete calculation of lost revenue, symptoms to watch for and levers to fix the situation without starting from scratch.
Features, architecture, catalog integration and searchandising: everything you need to know about Google's AI search engine for retail.
Embeddings, vector space, hybrid search: understand the technology behind modern AI search engines and its concrete impact on your catalog.
Purchase intent, mistakes to avoid, metrics to track: everything you need to know to maximize the value of your internal search.
Synonyms, fuzzy matching, autocomplete, semantic search, analytics, searchandising, speed: the concrete levers to convert more.
Pinning, boosting, synonyms, redirects... Everything you need to know to turn your search bar into a sales lever.
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