Acquisition
See which sources bring visitors and which bring buyers.
See where customers come from, where they disappear, and what deserves investigation next. Funl turns journeys, funnels, attribution and revenue into a commercial view your team can act on.
Mobile visitors from paid search abandon the booking step 1.8× more often than desktop visitors.
See which sources bring visitors and which bring buyers.
See exactly where intent disappears across key journeys.
Connect conversion performance to commercial outcomes.
Turn analytics into a short list of questions worth investigating.
Spot unusual daily movement against the same-weekday baseline before guessing why.
See real-user Web Vitals beside the paths and pages that matter commercially.
Inspect sampled click and scroll density without recording session replay.
Funl compares complete daily commercial metrics with comparable weekdays from their own history. Sparse data stays quiet, zero-activity days stay visible, and an unusual move is presented as an investigation signal—not a root cause or recommendation.
Explore anomaly evidenceMeasure browser-observed LCP, INP, CLS, FCP and TTFB, then inspect the pages with the weakest p75 experience. Funl keeps the conclusion honest: slow and leaky can appear together without pretending one caused the other.
Explore performance evidenceSample click coordinates and scroll depth on important pages while keeping DOM text, form values, screenshots and replay streams out of the heatmap capability.
Explore the heatmap modelThese capabilities add technical and behavioural evidence to the same commercial picture. They do not turn correlation into causation, and the current heatmap capability is not session replay.
Funl connects acquisition, behaviour and commercial outcomes so you can see where real customer intent strengthens, stalls or disappears—without losing the person behind the metric.
Follow the commercial workflowCapture acquisition, journeys, goals and outcomes without turning the dashboard into a wall of events.
See the stages, segments and paths where intent is thinning out.
Compare the evidence around a leak without pretending correlation proves the cause.
Track an intervention against a bounded baseline and see what changed after it began.
Funnels, journeys, segments and correlations keep the underlying observed evidence visible.
Browser activity and trusted server outcomes remain distinguishable instead of being blended into one vague number.
No raw IP persistence, bounded coarse region support, pseudonymous sessions and Do Not Track-aware collection.
Funl deliberately separates observed evidence from hypotheses and causal claims. It is designed to help teams investigate with more context—not manufacture certainty.
Marketing can see acquisition. Product can see journeys. Operators can see outcomes. Funl brings the evidence together so the team starts from the same observed picture.