SnapSignal reads your website, proposes the most likely reasons users drop off, and sets up the tracking to validate them. Answers, not just charts.
Other analytics tools end where the real work starts.
Step 3 → Step 4 loses 60% of users. Now what?
Maybe the form is too long. Maybe pricing. Maybe trust. Pick one and ship a fix.
No way to know if the reason you guessed was the cause — or if you shipped noise.
SnapSignal reads your code and surfaces the three most likely causes at each drop-off step.
Pick a reason — we add the tracking to confirm or reject it. No instrumentation work for you.
Plain-language answer per reason — likely the cause, mixed signals, or unlikely. Backed by numbers.
From URL to verdict — without tracking plans, coding, or manual analysis.
We infer your funnel from your website, then sharpen it with code access. No SDK setup, no event schema.
Three likely reasons per step, grounded in your codebase.
You pick which reasons to test. We design the minimum tracking events and ship them.
Once data flows, you get a plain-language answer per tested reason.
Illustrative category examples only — real verdicts come from your product and your data.
You see drop-offs but don't have time to manually instrument every hypothesis.
You can read a chart. You need to know what to do about it. Setup, instrumentation, and interpretation should not be your bottleneck.
You're trying to learn what's broken before scaling spend. A/B testing the wrong fix is the expensive mistake.
A funnel preview and likely drop-off reasons, ready in minutes.