Store Search: The Merchandising Lever Nobody Tunes
The highest-intent traffic you ignore
A shopper who uses store search is not browsing. They typed what they want, which means they have already decided to buy something and are telling you exactly what it is. That traffic converts at multiples of the site average, and it is also the traffic most stores pay the least attention to. The search ships with the theme, the defaults stay on, and nobody reads the query log.
Shopify's free Search and Discovery app is where the tuning lives, and it does more than search. It sets the two kinds of product recommendations, related and complementary, and it controls which products surface for which queries. The recommendations that matter for AOV are the complementary ones, chosen by hand, up to ten per product, and the search results are where those choices pay off first, because the shopper is already looking at the product they want to add to.
What the query log tells you
Read the queries before you change anything. The log shows three things: what people search for that you stock, what they search for that you do not stock, and what they search for that returns the wrong products. The first group is a merchandising win waiting to happen. The second is a buying signal, or a sign that your naming does not match how customers describe the product. The third is the expensive one, because a shopper who searches for a thing you stock and gets the wrong results leaves, and leaves thinking you do not carry it.
Fix the third group first. Pin the right product to the top of its query, add the synonyms customers actually use, and make sure the variant names match the words in the search box. Collection sorting is the same problem in a different shape: the order products appear in decides what gets bought, and the default order is rarely the order that sells. Search is a collection with a query attached, and it deserves the same attention.
Search is where the add-ons live
The cart drawer is the best upsell slot on the site, and search is where the shopper decides what goes into it. A query for a camera body should surface the body, the lens, and the memory card together, because the shopper who searched for the body is the shopper most likely to buy the rest of the kit. Shopify suggests complementary items that cost the same as or less than the product they sit on, which keeps the add-on feeling like a small decision next to the big one.
Pick the pairs from the Items bought together report, not from the catalog team's guesses, and test the change the same way you would test anything else: one change, two weeks, revenue per session before and after. Abandoned cart timing matters, but the shopper who found what they wanted through search is the shopper who never abandons the cart in the first place. Tune the search first, and the cart takes care of itself.
Frequently asked questions
Why does store search matter for merchandising?
Search shoppers have the highest intent on the site: they typed what they want, which means they already decided to buy. That traffic converts at multiples of the site average, and it is the traffic most stores never tune.
What should I look for in the search query log?
Three things: queries for products you stock, queries for products you do not stock, and queries that return the wrong products. The third group is the most expensive, because the shopper leaves thinking you do not carry it.
How does Search and Discovery help AOV?
It lets you set complementary products by hand, up to ten per product, and control which products surface for which queries. Complementary items bought in addition, like a case for a phone, lift AOV in a way related products do not.
How do I pick complementary products?
From the Items bought together report in Shopify Analytics, which lists the combinations customers actually buy. Start with the pairs at the top of that report.