> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kakiyo.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics

> Track and analyze your campaign performance from the Kakiyo dashboard. Understand connection rates, reply rates, qualification metrics, and how to use analytics to improve your outreach.

<Info>
  **This guide is for dashboard users.** Everything below is accessible from the [Kakiyo dashboard](https://app.kakiyo.com). For programmatic access to analytics data, see the [Analytics API Reference](/api-reference/analytics/overview).
</Info>

> 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

1. In the sidebar, click **Analytics**.
2. The analytics dashboard shows an overview of your entire team's outreach performance.
3. 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:

1. **Optimize your LinkedIn profile** — see [Acceptance Rate Optimisation](/guides/optimize-your-results/acceptance-rate-optimisation)
2. **Improve targeting** — make sure your prospects are actually your ICP
3. **Check your first message** — the connection request note (if any) should be relevant and personal
4. **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:

1. **Improve your prompts** — make the first message more personalized and value-driven (see [Understanding the Prompts](/guides/core-features/understanding-the-prompts))
2. **Improve your offering** — the AI needs good product knowledge to write relevant messages (see [Understanding the Offerings](/guides/core-features/understanding-the-offerings))
3. **Enable follow-ups** — prospects often reply after the 2nd or 3rd touch (see [Follow-up Messages](/guides/core-features/follow-up-messages))
4. **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:

1. **Review your prompt's qualification criteria** — are the criteria too strict?
2. **Check conversation quality in the Inbox** — read through conversations to identify where the AI loses prospects
3. **Test in the Sandbox** — simulate qualifying conversations and adjust the prompt

***

## Comparing Campaign Performance

To run an effective comparison:

1. Go to **Analytics** in the sidebar.
2. Look at the campaign breakdown table.
3. Sort by the metric you care about (connection rate, reply rate, qualified leads).
4. Identify your top and bottom campaigns.
5. Open the best-performing campaign and study its offering, prompt, and prospect profile.
6. Apply the same patterns to underperforming campaigns.

<Tip>
  For meaningful comparisons, each campaign should have at least 50-100 prospects. Smaller sample sizes produce unreliable metrics.
</Tip>

***

## 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    |

***

## Related Guides

* [Acceptance Rate Optimisation](/guides/optimize-your-results/acceptance-rate-optimisation)
* [Reply Rate Optimization](/guides/optimize-your-results/reply-rate-optimization)
* [Understanding the Campaigns](/guides/core-features/understanding-the-campaigns)
* [Billing and Credits](/guides/team-billing/billing-and-credits)