Analytics Overview
Track how your messages perform with Cueflow's built-in analytics. Understand engagement, optimize your messaging strategy, and measure impact.
What's Tracked
Cueflow automatically tracks key metrics for all your messages:
Views
Users who saw the message
All message types
Clicks
Users who clicked a CTA button
Banners, Modals
Dismissals
Users who closed the message
Banners, Modals
Responses
Submitted feedback
Feedback surveys
Completions
Finished all items
Checklists
Viewing Analytics
Message List
The messages table shows key metrics at a glance:
View count
Click count
Status indicator
Message Details
Click any message to see detailed analytics:
Go to Messages
Click on a message
View the Analytics section
You'll see:
Total views
Total clicks
Click-through rate (CTR)
Timeline of activity
Understanding Metrics
Views
A view is recorded when:
The message appears on screen
The user is identified (has contact ID)
First view only (repeat views not counted)
One view per user - If a user sees the same message multiple times, it counts as one view.
Clicks
A click is recorded when:
User clicks a CTA button (primary or secondary)
User clicks a banner CTA
The click URL is followed
Tracked details:
Button position (primary/secondary)
Button text
Destination URL
Page where click occurred
Click-Through Rate (CTR)
Benchmarks:
Banners: 2-5% is typical
Modals: 10-30% is typical
Higher CTR = more compelling message
Dismissals
Recorded when users close a message without clicking the CTA:
Clicked X button
Clicked outside modal (if enabled)
Shows message fatigue or irrelevance
Message-Specific Analytics
Banner Analytics
Views: Users who saw the banner
CTA Clicks: Clicked the button
Dismissals: Closed without clicking
Modal Analytics
Views: Users who saw the modal
Primary Clicks: Main CTA button
Secondary Clicks: Secondary button
Dismissals: Closed via X or backdrop
Checklist Analytics
Views: Users who saw the checklist
Item Completions: Per-item completion counts
Full Completions: Users who finished all items
Completion Rate: % who finished everything
Feedback Analytics
Views: Users who saw the survey
Responses: Total submissions
Response Rate: Submissions / Views
Score Distribution: Breakdown by rating
For NPS surveys:
NPS Score: -100 to +100
Promoters: 9-10 ratings
Passives: 7-8 ratings
Detractors: 0-6 ratings
Changelog Analytics
Widget Opens: Users who opened the changelog
Entry Views: Which updates got attention
Using Analytics
Identify Winners
Compare messages to find what works:
Higher CTR = better copy/design
Lower dismissals = better targeting
Higher completion = better flow
Optimize Underperformers
Low engagement? Try:
Revising the copy
Changing the CTA
Adjusting targeting
Trying a different message type
Track Campaigns
Monitor message performance over time:
Launch day spike
Sustained engagement
Declining returns (time to archive)
Best Practices
Set Baselines
Track your typical performance:
Average CTR by message type
Average completion rates
Normal view counts
A/B Test
Create variations to test:
Different headlines
Different CTAs
Different targeting
Compare results
Review Regularly
Check analytics weekly
Archive underperformers
Double down on winners
Act on Feedback
For feedback surveys:
Review responses promptly
Follow up on low scores
Share insights with your team
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