You know where they left.
You don’t know why

A second opinion on the data you already have.

Every click, counted.

Every drop-off, charted.

Still no answer to why.

857 PEOPLE LEFT ONE STEP IN TWO WEEKS. THREE EXPLANATIONS. ONE SURVIVED THE DATA.

FOR

Product managers,on Monday morning.
Product designers,the week before the interviews.
Anyonewho gets asked why.

WHERE WE COME IN

Between the export and the meeting.

FINDING #1·MEDIUM CONFIDENCE

39.6% of people did not continue from seeing the results to seeing the doctor profile.

857of 2,165 sessions

The options shown don’t feel relevant

NEEDS USER RESEARCH

The options don’t show enough information to decide

TEST WITH A/B TEST

Users go back to refine or search again

DATA DOESN’T SUGGEST THIS

One upload. One diagnosis. About a minute.

From the file you already have.

CSV · EXCEL · TSV · UP TO 24 MB

SHAPE 1 · ONE ROW PER VISIT

A session export

Each row is one visit: when it started, where it came from, what device, and whether it converted. The classic Google Analytics export.

VISITSTARTEDCAME FROMDEVICEBOOKED?
#4471Mon 09:14GoogleMobileYes
#4472Mon 09:20InstagramMobileNo
#4473Mon 09:31DirectDesktopNo
Usually from GA4 BigQueryGoogle Analytics

SHAPE 2 · ONE ROW PER ACTION

An event export

Each row is one thing someone did: which visit, when, what action, which page. This is where journeys and drop-offs come from.

VISITTIMEACTIONPAGE
#447109:14:02Viewed results/search
#447109:14:40Opened profile/doctor/212
#447109:16:11Booked/confirm
Usually from MixpanelAmplitudeGA4 eventsYour database

If a journey can’t be built from your file, Clu says so before it runs.

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