Zero-Result Searches: What Your Search Log Is Telling You

A search that returns nothing is a shopper stating a need and the store answering that it cannot meet it. The log of those searches is the cheapest product research a store has.

Zero-result searches fall into three buckets: products to stock, synonyms to add, and spellings to fix. Read the log weekly, fix the synonyms first, and the zero-result rate drops within days.

The three buckets

The first bucket is the product the store does not carry. A shopper searches for a waterproof hiking boot in size 10, the store carries hiking boots but not waterproof ones, and the search returns nothing. That query is a buying signal, and the top queries in this bucket are the next products to stock. A store that ignores them is letting shoppers write its buying list and then throwing the list away.

The second bucket is the synonym problem. The shopper searches for trainers and the catalog calls them sneakers, or searches for a jumper and the catalog calls it a sweater. The product exists. The word does not match. The third bucket is spelling: a typo, a brand name spelled two ways, a model number with a missing digit. All three buckets look identical in the log, a query with no results, and the fix is different for each, which is why the log needs a human reading it.

Related reading on this site: RelevanceRail and Synonym Mapping: When Shoppers Use the Wrong Words for Your Products cover the neighbouring problems in more depth.

Fix the synonyms first

Synonyms are the fastest fix in search. Shopify's Search and Discovery app supports synonym groups, and adding one takes minutes. Map the words shoppers use to the words in the catalog: trainers to sneakers, jumper to sweater, couch to sofa. The zero-result rate on those queries drops to zero the same day, and the shoppers who were leaving now find the product.

The mistake is adding synonyms once and forgetting them. Shoppers invent new words every season, brands launch new terms, and the catalog changes. The synonym list is a living document, and the weekly zero-result report is how it grows. A store that reviews the report every Monday fixes its search faster than any ranking tweak ever will.

What the rate should be

A healthy store search has a zero-result rate under 5 percent. Above 10 percent, the search is broken in a way shoppers notice, and the fix is usually synonyms and spelling, not a new search engine. The rate is also a diagnostic: a sudden spike in zero results after a catalog import usually means the import renamed products or dropped the synonyms, and the fix is to restore them, not to rebuild the search.

The second number to watch is the zero-result query with the highest volume. One query with a hundred searches and no results is a product to stock or a synonym to add, and it is worth more than fifty queries with one search each. Fix the top ten queries first. The long tail can wait.

Frequently asked questions

What is a zero-result search?

A query that returns no products. It is a shopper stating a need the store cannot meet, and the log of those queries is the cheapest product research a store has.

What causes most zero-result searches?

Three things: products the store does not carry, synonyms the search does not know, and spelling differences. Synonyms are the fastest fix.

What is a healthy zero-result rate?

Under 5 percent. Above 10 percent the search is broken in a way shoppers notice, and the fix is usually synonyms and spelling, not a new search engine.

How often should I review zero-result searches?

Weekly. The top ten queries by volume are the priority, and a sudden spike after a catalog import usually means synonyms were dropped.