Flow Insights & Analytics
See exactly how users move through your automation flows. Identify what's working, where people drop off, and how to improve your results.
What Are Flow Insights?
Flow insights give you a detailed look at how users interact with your automation flows. Instead of just knowing that your automation is running, you can see exactly what's happening at each step — how many people enter the flow, how many complete it, where they drop off, and what responses they provide.
This data is essential for optimizing your automations. A flow that looks great on paper might have a 70% drop-off at the second question. Without insights, you'd never know. With them, you can pinpoint the problem and fix it.
How to Access Flow Insights
- Navigate to Instagram DM in the left sidebar.
- Find the post or flow you want to analyze in your automation list.
- Click on the flow to open it.
- Look for the Insights or Analytics tab.
- Your flow performance data loads with the default date range (last 7 days).
Each flow has its own insights page, so you can compare performance across different automations and see which ones are delivering the best results.
Key Metrics
Flow insights track several important metrics that tell you how your automation is performing:
| Metric | What It Measures | Why It Matters |
|---|---|---|
| Users Entered | Total number of users who triggered the flow | Shows the reach and engagement of your automation trigger |
| Responses Collected | Total answers received from question nodes | Indicates how engaged users are with your flow's interactive elements |
| Completion Rate | Percentage of users who reached the final step | The most important metric — tells you if your flow is effective end-to-end |
| Drop-Off Points | Where users stop responding or leave the flow | Pinpoints exactly which step is causing users to disengage |
Understanding Drop-Off Points
Drop-off points are the most actionable data in flow insights. They show you exactly where users stop engaging with your flow. Common drop-off patterns include:
- After the first message — Your opening message might not be compelling enough to keep users engaged.
- At a question node — The question might be too personal, too complex, or unclear.
- Before a follow gate — Users who aren't followers may not want to follow just to continue.
- After a long delay — If you have a delay node, users might lose interest or forget about the conversation.
When you identify a drop-off point, you can take action: rewrite the message, simplify the question, shorten the delay, or remove the step entirely.
Filtering by Date Range
Flow insights support date range filtering so you can analyze performance over specific periods:
- Last 24 hours — See how your flow is performing right now.
- Last 7 days — The default view. Good for weekly performance reviews.
- Last 30 days — Monthly overview for trend analysis.
- Custom range — Select specific start and end dates for campaign-level analysis.
Date filtering is especially useful when you make changes to a flow and want to compare before-and-after performance.
Exporting Data
You can export your flow insights data for further analysis in spreadsheets, reporting tools, or presentations. The export includes:
- All key metrics (users entered, responses, completion rate).
- Per-step breakdown showing engagement at each node.
- User interaction data for the selected date range.
- Drop-off data by step.
To export, click the Export button on the insights page and choose your preferred format.
Using Insights to Improve Flows
Data without action is just numbers. Here's how to turn your flow insights into better-performing automations:
Low Completion Rate
If your completion rate is below 50%, your flow is losing too many users along the way. Look at the drop-off points and ask:
- Is the flow too long? Try removing unnecessary steps.
- Are questions too personal or complex? Simplify them.
- Are delays too long? Shorten them to keep momentum.
High Drop-Off at a Specific Step
If one step has significantly higher drop-off than others, that step is the problem. Common fixes:
- Rewrite the message to be clearer and more engaging.
- Change the question type (e.g., switch from open-ended to yes/no).
- Add a compelling reason to continue (e.g., "Almost there! One more question and you'll get your free guide").
Low Response Collection
If users enter the flow but don't answer questions, your questions might need work:
- Make questions feel low-effort (yes/no, multiple choice, rating).
- Explain why you're asking ("We need your email to send the guide").
- Put the most important question first, before engagement drops.
Plan Requirements
| Feature | Required Plan |
|---|---|
| Basic flow insights (users entered, completion rate) | All paid plans (Starter and above) |
| Drop-off point analysis | All paid plans (Starter and above) |
| Date range filtering | All paid plans (Starter and above) |
| Data export | Trendsetter and above, all Multi plans |
Tips and Best Practices
- Check insights weekly. Make it a habit to review your flow performance every week. Small, consistent improvements compound over time.
- Compare flows against each other. If you have multiple flows, compare their completion rates. Learn from your best-performing flow and apply those patterns to others.
- A/B test with insights. Create two versions of a flow, run them for a week each, and compare the data. Let the numbers tell you which version wins.
- Focus on completion rate first. Of all the metrics, completion rate is the most important. A flow with high entry but low completion is wasting potential leads.
- Don't over-optimize. If your completion rate is above 70%, your flow is performing well. Focus your energy on flows that are underperforming instead.
💡 Tip: After making changes to a flow based on insights, wait at least 3–5 days before checking the data again. You need enough new users to enter the flow for the comparison to be meaningful.