Analytics & Reporting
Understand your data to optimize campaign performance.
Last updated: Nov 26, 2025
Analytics Overview
The analytics dashboard gives you visibility into every aspect of your outreach performance. Understanding these metrics helps you make data-driven decisions.
Key questions analytics answers:
Key Metrics Explained
DMs Sent - Total messages sent in the selected time period
DMs Delivered - Messages successfully delivered (not all sent messages are delivered)
Replies Received - Total responses from recipients
Response Rate - (Replies ÷ DMs Delivered) × 100
Positive Replies - Responses indicating interest (manual tagging)
Conversion Rate - (Positive Replies ÷ Total Replies) × 100
Active Campaigns - Number of currently running campaigns
Dashboard Widgets
Your analytics dashboard includes these widgets:
Overview Cards - At-a-glance stats for key metrics
Trend Chart - DMs sent and replies over time
Campaign Breakdown - Performance by individual campaign
Account Performance - Metrics for each connected account
Best Times Heatmap - When you get the most replies
Understanding Response Rates
What's a good response rate? Here are benchmarks:
Below 5% - Message or targeting needs work
5-10% - Average performance, room to improve
10-15% - Good performance, you're on track
15-25% - Great performance, keep doing what works
25%+ - Exceptional, you've nailed your messaging
Response rates vary by industry and offer - track your own trends over time.
Time Period Analysis
Compare performance across different time periods:
Today - See real-time campaign activity
Last 7 Days - Track weekly trends and patterns
Last 30 Days - Monthly performance overview
Custom Range - Compare specific periods
Pro tip: Compare this week vs. last week to spot improvements or problems quickly.
Campaign-Level Analytics
Drill down into individual campaign performance:
1. Go to Campaigns → Select a campaign → View Analytics
2. See detailed stats for that specific campaign
3. Compare against other campaigns in the same period
4. Identify your best and worst performing campaigns
5. Use insights to improve underperforming campaigns
Optimizing Based on Data
Use analytics to continuously improve:
1. Identify winners: Which campaigns have highest response rates?
2. Analyze timing: When do you get the most replies?
3. Compare messaging: What do successful campaigns have in common?
4. Adjust underperformers: Pause, tweak, or kill low-performing campaigns
5. Scale what works: Increase volume on proven campaigns
Common Analytics Mistakes
Avoid these data interpretation errors:
- Judging a campaign with less than 100 sends
- Ignoring account-level variations
- Not accounting for message content differences
- Focusing only on volume, not quality metrics
- Making changes too frequently to measure impact