How we build composable ecommerce experiences with Algolia.

Yes, and disproportionately. Visitors who use search are already further along in deciding, so a bad result costs you a customer who had all but committed. On large catalogs, search sessions typically convert several times better than browsing ones.

It tolerates typos and synonyms, ranks on your rules rather than keyword matching alone, returns results as the shopper types, and lets merchandisers pin, boost and bury products without a deploy. Native platform search generally does none of that well.

Algolia prices on search requests and records, so cost tracks your traffic and catalog size rather than your revenue. Brands are sometimes caught out by autocomplete firing a request per keystroke. Getting the implementation right keeps the bill predictable.

Three to six weeks for a typical mid-market catalog. Indexing and the search interface are quick. The time goes into deciding what should rank highly and why, which is a merchandising conversation more than a technical one.

Yes, and this is where a lot of the value sits. Running collection pages through the same index means filtering, sorting and merchandising behave consistently everywhere, instead of search and browse feeling like two different websites.