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Drop-off charts tell you where. We tell you why.

SnapSignal reads your website, proposes the most likely reasons users drop off, and sets up the tracking to validate them. Answers, not just charts.

No sign-up required

The Gap

Charts show drop-off. They don't explain it.

Other analytics tools end where the real work starts.

Without SnapSignal
1

You see the drop-off

Step 3 → Step 4 loses 60% of users. Now what?

2

You guess the reason

Maybe the form is too long. Maybe pricing. Maybe trust. Pick one and ship a fix.

3

You hope it worked

No way to know if the reason you guessed was the cause — or if you shipped noise.

With SnapSignal
1

We propose the reasons

SnapSignal reads your code and surfaces the three most likely causes at each drop-off step.

2

We set up the test

Pick a reason — we add the tracking to confirm or reject it. No instrumentation work for you.

3

We deliver a verdict

Plain-language answer per reason — likely the cause, mixed signals, or unlikely. Backed by numbers.

The Loop

How SnapSignal works

From URL to verdict — without tracking plans, coding, or manual analysis.

1Read
Read your product

We infer your funnel from your website, then sharpen it with code access. No SDK setup, no event schema.

Sign up
First action
Activate
2Propose
Propose why users drop off

Three likely reasons per step, grounded in your codebase.

1Form friction
2Trust gap
3Commitment signal
3Test
Set up the test

You pick which reasons to test. We design the minimum tracking events and ship them.

recorder_installed
permission_dismissed
recording_started
4Verdict
Deliver the verdict

Once data flows, you get a plain-language answer per tested reason.

Likely the causeCollecting dataMixed signals
Examples

Funnels and the why behind drop-off

Illustrative category examples only — real verdicts come from your product and your data.

Travel stay platform
Core funnel
1
Search stays
100%
180 users completed this step
2
View stay
79%
142 users completed this step↓ 38 (21%) dropped off
3
Start booking
37%
66 users completed this step↓ 76 (54%) dropped off
4
Pay
28%
51 users completed this step↓ 15 (23%) dropped off
Drop-off reason being validated
View stay → Start booking
Fee shock. Added fees make the final price feel meaningfully higher than the rate users compared while browsing.

Likely the causeHigh confidence, 66 sessions collected
In this sample, 23 of 31 users (74.2%) who opened the full price breakdown abandoned before booking, versus 14 of 58 users (24.1%) who saw all-in pricing earlier.
Meeting booking software
Core funnel
1
Visit landing
100%
96 users completed this step
2
Sign up
67%
64 users completed this step↓ 32 (33%) dropped off
3
Connect calendar
36%
35 users completed this step↓ 29 (45%) dropped off
4
Share schedule link
28%
27 users completed this step↓ 8 (23%) dropped off
Drop-off reason being validated
Sign up → Connect calendar
Access hesitation. New users may pause when asked to grant calendar permissions before they have created anything useful.

Mixed signalsLow confidence, 35 sessions collected
In this sample, 11 of 19 users (57.9%) left at the permission step, but 8 of 11 (72.7%) returned later and connected. Another 23 of 42 users (54.8%) connected on the first try.
For You If

Built for founders, not data teams

Founders shipping fast with AI

You see drop-offs but don't have time to manually instrument every hypothesis.

Teams without an analyst

You can read a chart. You need to know what to do about it. Setup, instrumentation, and interpretation should not be your bottleneck.

Founders running discovery

You're trying to learn what's broken before scaling spend. A/B testing the wrong fix is the expensive mistake.

Find out why users drop off

A funnel preview and likely drop-off reasons, ready in minutes.

No sign-up required