Field guide
In-app search analytics is a different sport from Google-watching
The open web has infinite documents and a monopoly query box. Your app has a finite catalogue, a keyboard that fights Thai script, and users who often know the SKU already. Analytics that copy web-search KPIs will flatter you and mislead you.
What we mean by in-app search analytics
At Agent Flowcore, in-app search analytics is the practice of measuring how people query inside a product, what the system returned, whether the empty state was honest, and whether the session ended because the job was done or because patience ran out. It is not “install a heatmap on the search bar.”
A complete picture usually needs four layers: the query string (and its language), the result set (size, ranks, card design), the interaction (impressions, clicks, add-to-cart or equivalent), and the session outcome (reformulations, exits, later conversion that might have nothing to do with search).
If you cannot replay a single query from event to outcome, you do not have search analytics. You have a chart named Search.