Flow Analytics
Flow Analytics lets you measure how users interact with individual flows. Track starts, completions, dismissals, and skip rates to understand which flows are effective and where users drop off.
Key Metrics
Navigate to Analytics > Flows and select a flow to see its performance data.
| Metric | What it shows |
|---|---|
| Starts | How many times users began this flow |
| Completions | How many users reached the final step |
| Dismissed | How many users closed the flow before finishing |
| Skipped | How many users skipped the flow without engaging |
| Completion Rate | The percentage of starts that resulted in a completed flow |
Step Drop-off Funnel
The step drop-off funnel reveals exactly where users abandon a flow. For each step, you can see how many users reached it and how many left at that point.
Use this data to identify problematic steps. A high drop-off rate on a particular step often indicates confusing instructions, a missing UI element, or an overly complex interaction.
Viewing Performance Over Time
Use the date range filter at the top of the page to view flow performance across a specific period. This lets you compare completion rates before and after you make changes to a flow, so you can confirm whether an edit had the intended effect.
The performance chart shows starts and completions over time, making it easy to spot trends or sudden changes in behavior.
Top Flows
The top flows view ranks all your flows by engagement. Use it to identify your most-used content and prioritize which flows to optimize first.
Each entry shows the flow name, type, total starts, completions, and completion rate.
Tips for Improving Flow Completion
- Shorten long flows. Flows with more than 7 steps tend to have significantly higher abandonment rates.
- Fix high drop-off steps. If a single step has a drop-off rate above 30%, review its content and targeting.
- Compare before and after. Use date range filters to measure the impact of flow edits on completion rates.