Funnel Forensics

Drop-Off Rates Tell You Where. Funnel Forensics Tells You Why.

If your form or funnel builder stops at step drop-off rates, you are missing most of the story. Funnel Forensics tracks the events and behavior behind every step, so you know what made people leave and what to fix first.

What a drop-off report tells you
Step 4: Contact details38% drop-off
What Funnel Forensics adds
Exits that left from the Phone field
Every visitor
41%
"Enter a valid phone number" shown
Every visitor
212 times
Mobile drop-off vs desktop
Every visitor
+14 points
Median time on this step (others: 9s)
Recordings
48s
Taps on a disabled Continue button
Recordings
63

Same step, same visitors. One number says where. The rest says why.

A Drop-Off Rate Is a Symptom, Not a Diagnosis

Every builder can tell you that 38% of visitors left on step 4. That number cannot tell you whether the question confused them, the phone field rejected their number, the page was slow on mobile, or the button looked disabled. So you guess, change something, and wait two weeks to see if you guessed right. Funnel Forensics puts the evidence next to the number.

  • Which field people last touched before they left
  • Which error messages your visitors were actually shown, and how often
  • How mobile compares with desktop on the same step
  • Each figure labelled with its source: every visitor, or the recorded sample
Step 2: What type of roof do you have?
Asphalt shingle1,204
Metal388
Tile214
Not sure136
58% changed away from this answer

Counted for every visitor, on every step, without watching a single recording.

Event and Behavior Tracking on Every Step

Open any step and see what happened inside it. Which answers get picked and which get changed, which fields end the session, which validation messages fire, and how phone verification turned out. These tables count every visitor and work on every plan. Turn on Lead Playback and you also get the behavior only a recording can show.

  • Answer clicks per option, and answers people changed away from
  • Exit fields and the validation messages shown on each step
  • Phone verification outcomes: sent, confirmed, abandoned
  • From recordings: time per field, hesitation, rage clicks, dead clicks and taps on a disabled button
Funnel Forensics
Snapshot from 412 recorded sessions, the last 30 days
Run forensics
Phone format is turning people away on step 4
Worsening
212 format errors in 30 days, 41% of exits from this field
Turn on input masking so the number formats as it is typed.
Stage this changeWatch 3 recordings
Completion on step 2 fell after your edit on Oct 3
New
71% in the 7 days before, 63% in the 7 days after
The headline changed. Compare the two versions side by side.
Compare versionsWatch 3 recordings
Mobile visitors stall on the zip code step
Persisting
Median 31s on mobile, 8s on desktop
Test a numeric keypad and a shorter label.
Set up A/B testWatch 3 recordings

Every finding carries its count, its source and a next step.

Findings With a Count, a Cause and a Next Step

A fixed set of conversion checks runs on every funnel automatically: first-step drop-off, the worst step, mobile against desktop, time on page, confusion signals and landing page scroll. Your own edits are part of the evidence too, compared against that step for the 7 days before and after. Press Run forensics and the AI reads the last 30 days of sessions, analytics and edits, then writes up to five findings you can act on from the same card.

  • Each finding shows its count, its source and whether it is new, worsening or improving
  • Stage the suggested change, or set it up as an A/B test, from the same card
  • When a save caused the shift, compare the two versions side by side
  • Up to three example recordings per finding, so you can see it for yourself
You, in Claude
Why are people leaving my roofing funnel, and what should I fix first?
Agentget_funnel_forensics_report
Step 4 loses 38% of visitors. 41% of those exits come from the Phone field, and the format error was shown 212 times. Fix that first: turn on input masking. Step 2 also dropped 8 points after the headline edit on Oct 3.
Full report: Roofing Quote Funnel
Every step, every table, the last 30 days
Print / Save as PDF

The same evidence, wherever you work: the funnel page, your AI agent, or a PDF for a client.

Ask Your AI Agent, or Hand a Client the Report

The evidence is not locked inside a dashboard. Connect Claude, Codex, Cursor or any MCP client and your agent can read the forensics for a funnel, pull the full report in one call and tell you what to fix. For clients and teammates, the report lays out every step on one page for the period you choose, ready to print or save as a PDF.

  • MCP access to findings, conversion signals and every step table
  • Agents can take a fresh snapshot, with your confirmation
  • A one-page report for any date range, print or save as PDF
  • The same findings feed the built-in Copilot

Why drop-off rates alone are not enough

Two funnels can lose the same 38% on the same step for completely different reasons. One has a phone field that rejects valid numbers. The other asks a question people cannot answer yet. The fix for one does nothing for the other. You can only tell them apart by looking at what visitors did, not just where they stopped.

Where, and why

Drop-off per step, with the events and behavior behind it

Every visitor

Step tables count all traffic, not just a recorded sample

Your edits included

See what a save did to the step it changed

No recordings to watch

Hundreds of sessions reduced to the patterns that matter

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