The ecommerce search learning center.

What site search is and why it matters for ecommerce storefronts.

Understanding what shoppers mean, not just what they type.

The scoring and matching layer that ranks search results.

How shoppers find products through search, browse, and recommendations.

The broader storefront experience around search: placement, mobile, friction.

Semantic, hybrid, and LLM-powered search for ecommerce.

Search engine architecture, indexing, and scaling for high SKU counts.

Product data quality as an input to search and discovery.

Relevance tuning and evaluation for search results.

How ranking signals combine, and how to test changes safely.

Manual and rule-based control over search and browse results.

Per-shopper ranking based on behavior and purchase signals.

Measuring search performance: CTR, conversion, zero-result rate.

The analytics and insight layer on top of search behavior.

Searches that return nothing, why they happen, and what they cost.

Tactics for fixing failed searches: rewriting, synonyms, fallbacks.

Search's business impact: conversion rate, ROI, revenue recovered.