The Analytics section gives you a real-time view of how your outreach campaigns are performing. Use it to identify what’s working, what needs improvement, and where to focus your optimization efforts.
Accessing Analytics
- In the sidebar, click Analytics.
- The analytics dashboard shows an overview of your entire team’s outreach performance.
- To view analytics for a specific campaign, go to Campaigns in the sidebar, click a campaign, and look for the Stats section.
Key Metrics Explained
Team-Wide Metrics (Analytics Page)
| Metric | What it measures | How it’s calculated |
|---|
| Total Prospects | Total number of prospects across all campaigns | Count of all prospect records |
| Invitations Sent | Connection invitations sent by all agents | Total invitation tasks completed |
| Connections Made | Invitations that were accepted | Prospects who accepted the connection request |
| Connection Rate | Percentage of invitations accepted | Connections Made / Invitations Sent |
| Messages Sent | Total messages sent by all agents | Includes first messages + follow-ups + replies |
| Messages Received | Total replies from prospects | Count of incoming messages |
| Reply Rate | Percentage of prospects who replied | Prospects who replied / Prospects who received a message |
| Qualified Leads | Prospects marked as qualified by the AI or manually | Count of prospects in Qualified status |
Campaign-Specific Metrics
When you view stats for a single campaign, you see the same metrics scoped to that campaign only, plus:
| Metric | What it measures |
|---|
| Active Prospects | Prospects currently in the outreach pipeline |
| Paused Prospects | Prospects whose outreach is temporarily stopped |
| Completed Conversations | Conversations that reached a terminal state (qualified, unqualified, or no reply) |
Profile-Level Metrics
Each LinkedIn profile on the Profiles page shows individual performance:
| Metric | What it measures |
|---|
| Invitations Sent | Total invitations sent from this LinkedIn account |
| Acceptance Rate | Percentage of invitations accepted for this account |
| Messages Sent | Total messages sent from this profile |
| Message Volume | Activity level of this specific agent |
Reading the Analytics Dashboard
The analytics page is organized in sections:
Overview Cards
At the top of the page, summary cards show your main KPIs at a glance: total prospects, connection rate, reply rate, and qualified leads. These update in real time.
Campaign Breakdown
A table showing each campaign with its own set of metrics. Use this to compare campaigns side by side and identify your best-performing outreach strategies.
How to Use Analytics to Optimize
Low Connection Rate (below 30%)
A low connection rate means prospects are not accepting your invitations. Potential fixes:
- Optimize your LinkedIn profile — see Acceptance Rate Optimisation
- Improve targeting — make sure your prospects are actually your ICP
- Check your first message — the connection request note (if any) should be relevant and personal
- Reduce daily limits — sending too many invitations too fast can decrease quality
Low Reply Rate (below 15%)
A low reply rate means connected prospects are not engaging. Potential fixes:
- Improve your prompts — make the first message more personalized and value-driven (see Understanding the Prompts)
- Improve your offering — the AI needs good product knowledge to write relevant messages (see Understanding the Offerings)
- Enable follow-ups — prospects often reply after the 2nd or 3rd touch (see Follow-up Messages)
- Check your data quality — prospects with complete, enriched profiles get better personalization
Low Qualification Rate (below 5%)
A low qualification rate means the AI is getting replies but not converting them to qualified leads. Potential fixes:
- Review your prompt’s qualification criteria — are the criteria too strict?
- Check conversation quality in the Inbox — read through conversations to identify where the AI loses prospects
- Test in the Sandbox — simulate qualifying conversations and adjust the prompt
To run an effective comparison:
- Go to Analytics in the sidebar.
- Look at the campaign breakdown table.
- Sort by the metric you care about (connection rate, reply rate, qualified leads).
- Identify your top and bottom campaigns.
- Open the best-performing campaign and study its offering, prompt, and prospect profile.
- Apply the same patterns to underperforming campaigns.
For meaningful comparisons, each campaign should have at least 50-100 prospects. Smaller sample sizes produce unreliable metrics.
Analytics Best Practices
| Practice | Why |
|---|
| Check analytics weekly | Catch performance issues early before they waste credits |
| Compare campaigns with similar audiences | Isolate what’s working (prompt vs. offering vs. audience) |
| Track changes over time | After editing a prompt or offering, wait 1-2 weeks to measure impact |
| Use Sandbox before making changes | Test prompt/offering edits before rolling them out to live campaigns |
| Monitor credit consumption | Track how many credits each campaign consumes relative to results |
