Technical deep-dives, merchandising playbooks, and revenue growth benchmarks for high-growth e-commerce teams.

PlaybooksWhat related searches are, where they belong on a results page, how to generate good suggestions from your own search data, and the mistakes that make them useless.
How to judge whether your search results are good, build a test set from real queries, tune field weights and ranking signals, and ship changes without breaking what already works.
Search can only find what your catalog describes. Which product attributes matter most, how to audit missing data, and a practical plan to enrich titles, attributes and descriptions.
71% of consumers expect personalized experiences. How personalized search works, which signals to use, where it goes wrong, and how to roll it out without hurting relevance or trust.
Mobile now drives most ecommerce traffic but still converts worse than desktop. These 10 mobile search rules cover the search field, autocomplete, results, filters and speed.
How ecommerce site search works, why shoppers who search are worth more, and a 30-day plan to fix query handling, results, filters and measurement on your store.
AI product search understands what shoppers mean, not just the words they type. Here is how it works, what it can't fix, and the signs your store is ready for it.
80% of ecommerce sites offer autocomplete, but only 19% get it fully right. These 12 practices cover suggestions, products, typos, mobile and measurement.
The 10 site search metrics that show whether search is making you money, with formulas, what good looks like, and how to start tracking in Google Analytics 4.