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

# Analytics

> Track campaign performance, customer engagement, and revenue attribution

The Analytics section provides deep insights into your campaign performance, customer behavior, and business impact. Use these reports to understand what's working and optimize your strategy.

## Data Overview

Access the Data Overview from **Data → Overview** in the sidebar. This dashboard shows aggregate metrics across your entire customer base.

### Key Metrics

| Metric            | Description                                  |
| ----------------- | -------------------------------------------- |
| **Total Users**   | Complete count of customers in your database |
| **Total Events**  | Cumulative behavioral events tracked         |
| **Total Revenue** | Sum of all attributed revenue                |
| **30-Day Trend**  | User growth over the past month              |

### Event Statistics

View breakdowns of event types and their frequency:

* **Event Type Distribution**: Which events are most common
* **Events Over Time**: Daily/weekly event volume trends
* **Top Event Properties**: Most frequently captured properties

### Geographic Breakdown

See where your customers are located:

* Country distribution
* Region breakdown (where available)
* Timezone analysis for optimal send times

## Campaign Analytics

Monitor individual campaign performance from the AI Campaigns page.

### Campaign Metrics

Each campaign tracks:

| Metric          | Description                              |
| --------------- | ---------------------------------------- |
| **Reach**       | Total customers in the campaign audience |
| **Sent**        | Messages successfully dispatched         |
| **Delivered**   | Messages confirmed delivered             |
| **Opens**       | Unique opens (email/push)                |
| **Clicks**      | Unique link clicks                       |
| **Conversions** | Completed goal actions                   |
| **Revenue**     | Attributed revenue                       |

### Performance Indicators

<Info>
  AI Campaigns automatically calculate these advanced metrics:
</Info>

* **CPA (Cost per Acquisition)**: Campaign spend divided by conversions
* **Lift**: Improvement vs. control group baseline
* **Optimization Score**: How well the MAB algorithm has converged

### Template Performance

Within each campaign, see how different template variations perform:

* Open rate by template
* Click rate by template
* Conversion rate by template
* The AI automatically shows which creative concept is winning

## Channel Analytics

Compare performance across communication channels:

| Channel                  | Metrics Available                                 |
| ------------------------ | ------------------------------------------------- |
| **Email**                | Delivered, bounced, opened, clicked, unsubscribed |
| **SMS**                  | Delivered, failed, clicked                        |
| **WhatsApp**             | Delivered, read, replied                          |
| **Push** *(Coming Soon)* | Delivered, opened, dismissed                      |

### Channel Comparison

View side-by-side performance to understand which channels resonate best with your audience:

* Engagement rate by channel
* Conversion rate by channel
* Cost efficiency by channel

## Audience Analytics

Understand your segments better:

### Segment Size Over Time

Track how audience membership changes:

* Growth rate
* Churn rate
* Net change

### Segment Engagement

Compare engagement metrics across different audiences:

* Which segments are most responsive
* Which segments need re-engagement
* Overlap between segments

## Revenue Attribution

RevBridge AI tracks revenue attribution to understand campaign ROI.

### Attribution Model

Revenue is attributed using a **last-touch** model:

* Conversion must happen within the attribution window (default: 7 days)
* The last campaign interaction before conversion gets credit
* Revenue is pulled from your e-commerce integration (Shopify orders)

### Revenue Reports

| Report                  | Description                                      |
| ----------------------- | ------------------------------------------------ |
| **Revenue by Campaign** | Total revenue attributed to each campaign        |
| **Revenue by Channel**  | Revenue breakdown by communication channel       |
| **Revenue by Template** | Revenue attributed to specific message templates |
| **Revenue Over Time**   | Daily/weekly revenue trends                      |

## Exporting Data

Export analytics data for further analysis:

1. Navigate to the desired report
2. Click the **Export** button
3. Choose format (CSV or Excel)
4. Data will download to your browser

<Note>
  Exported data reflects the current time period and filters applied to the report.
</Note>

## Best Practices

### Regular Review Cadence

Establish a routine for reviewing analytics:

* **Daily**: Check active campaign performance
* **Weekly**: Review channel and template comparisons
* **Monthly**: Analyze revenue trends and audience growth

### Acting on Insights

When analytics reveal opportunities:

1. **Low engagement on a segment?** Consider a different creative approach or channel
2. **One template outperforming?** Let the MAB algorithm naturally shift traffic
3. **Channel underperforming?** Review configuration or consider pausing
4. **Revenue declining?** Check for integration issues or audience fatigue

<Tip>
  The AI Campaign MAB algorithm automatically acts on performance data. Focus your manual analysis on strategic decisions like audience definition and brand messaging.
</Tip>