Drop-off guide
How to run a user drop-off audit in 30 minutes
You don’t need a data warehouse or a growth team to understand why users quit. In fact, most leaks can be found with a few targeted events and a repeatable review habit. Here’s the playbook we use internally with new customers.
Step 1
Instrument the moments that matter
Map your critical path from first touch to activation. For most SaaS products that looks like:
1. Landing page view
2. Account signup
3. Email verification or profile setup
4. Primary action (e.g. project created, integration connected)
Get those events streaming first. You can add granular signals later, but you need the backbone now.
Step 2
Slice by segment to find the real culprit
Overall conversion might look “fine,” but issues hide inside segments. In AnalyzeUser we filter by:
- Acquisition source (e.g. paid search vs. organic)
- Device class (mobile drop-offs behave differently)
- Plan or pricing page intent
Once you isolate the underperforming slice, the pattern becomes obvious.
Step 3
Turn drop-off insight into a fast experiment
Every insight should spawn a single change you can ship within a day:
- Add inline validation to the form field everyone fails
- Split the permissions flow into two steps
- Swap the CTA copy based on the traffic source
Log the change, annotate your timeline, and watch the same funnel for the next 5–7 days to confirm impact.
What good looks like
- Every funnel step has a clear event name and description
- You can load a drop-off view for any segment in under 10 seconds
- Every insight is followed by a single experiment or fix
- Annotated timelines show when changes shipped, so results are obvious
Turn insight into action
AnalyzeUser ships with opinionated templates for onboarding, trial-to-paid, and checkout funnels. You get alerts when a step suddenly deviates, so you can run this audit daily without becoming a full-time analyst.