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:

Metric	Description	Available For
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:

1. Go to Messages

2. Click on a message

3. 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)

CTR = (Clicks / Views) × 100

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