Detect hidden customer engagement within your shop.
Every search, browse and refinement — from shoppers and AI agents alike — leaves a trail of intent. Detect follows all of it, and our AI points you to the handful of journeys where something’s off — so you stop grinding through your top 100, 200, 500 discovery problems by hand. Where others give you analytics, we give you focus. Detection runs continuously, so the shortlist stays current without anyone maintaining it.
Your analytics count sessions, not the journeys that stall.
Web analytics show you what happened — sessions, bounces, conversion curves — but never why. They surface correlations, not causes, so you’re left guessing what to fix on Monday. Detect works the other way: complete product-discovery journey tracking with probabilistic intent attribution. By reading the intent behind every journey, it traces each effect back to its cause.
The full discovery journey, turned into a ranked to-do list.
Discovery analytics with ready-made KPIs. searchInsights ranks every intent by the engagement it can unlock and shows where journeys break, so you can prove impact. The work stops being a guess and starts being a list.
Your analytics only knows about zero-results. The real challenge is weak results: journeys that return something, just not what converts. They are harder to see and often a much larger opportunity. Weak results are the hidden gold mine searchHub helps uncover. Industry zero-result rate: 10 to 15%. Well-optimized shops: under 5%. The weak-result leak is bigger than both, and no zero-result report will ever show it.
*Reranking available to new customers in the Excel package.
Intent isn't static. Every page bends it.
Every journey — and the funnel around it — is resolved into dependent cause-and-effect trails: the initial intent behind the first query, and how every page seen after it bends that intent. The result set that sharpens it, the suggestion that redirects it, the dead end that breaks it.
That is why details matter to us: journeys never fail in general — they fail at one specific link in the chain. See the cause, and the fix is obvious. Everything in Act and Excel is built on this trail.
Two moves, one trail: capture every journey, then explain why it wins or breaks.
Three moves, one intent: shape it, translate it, then order the results around it.
NeuralInfusion runs on discoveryData, and feeds back everything it ranks, tests and learns. That loop is the shared intelligence layer: one understanding of intent, available to every system.