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

# Reports Overview

> Understanding Cryptique's report types for Web3 analytics

## Overview

Cryptique provides four powerful report types, each designed to answer different types of questions about your users' behavior—both off-chain and on-chain.

## Report Types

<CardGroup cols={2}>
  <Card title="Insights" icon="chart-line" href="/analysis/reports/insights">
    **Visualize trends and compositions**

    Answer questions like:

    * How many users swapped this week?
    * What's the breakdown of users by chain?
    * How is retention trending over time?
  </Card>

  <Card title="Funnels" icon="filter" href="/analysis/reports/funnels">
    **Measure conversion through steps**

    Answer questions like:

    * What % of users who connect a wallet make a transaction?
    * Where do users drop off in onboarding?
    * How long does it take to convert?
  </Card>

  <Card title="Retention" icon="calendar-check" href="/analysis/reports/retention">
    **Measure engagement over time**

    Answer questions like:

    * How many users return after 7 days?
    * What's our weekly transaction retention?
    * Are power users more retained?
  </Card>

  <Card title="Flows" icon="diagram-project" href="/analysis/reports/flows">
    **See paths users take**

    Answer questions like:

    * What do users do after connecting a wallet?
    * What paths lead to conversion?
    * Where do users go after viewing pricing?
  </Card>
</CardGroup>

## Common Features

All reports share these capabilities:

### Filtering

Narrow your analysis to specific users or events:

```
Show me:
- Users from United States
- Who are on the "pro" plan
- And connected a wallet in the last 30 days
```

### Breakdowns

Segment your data by properties:

```
Break down by:
- Country → See metrics per country
- Device type → Compare mobile vs desktop
- Wallet type → MetaMask vs WalletConnect
```

### Time Controls

Analyze any time period:

* **Date range**: Last 7 days, last 30 days, custom range
* **Granularity**: Hourly, daily, weekly, monthly
* **Comparison**: Compare to previous period

### Cross-Data Analysis

Combine off-chain and on-chain data:

```
Funnel:
1. page_view (website)
2. wallet_connect (website)  
3. swap_initiated (website)
4. swapExactTokensForTokens (blockchain transaction)
```

## Choosing the Right Report

| Question Type              | Report    | Example                              |
| -------------------------- | --------- | ------------------------------------ |
| "How many?" / "How much?"  | Insights  | Total swaps this month               |
| "What percentage convert?" | Funnels   | Conversion rate to first transaction |
| "Do users come back?"      | Retention | 7-day retention after signup         |
| "What path do users take?" | Flows     | Actions after wallet connection      |

## Building Reports

### Quick Start

<Steps>
  <Step title="Select Report Type">
    Choose Insights, Funnels, Retention, or Flows
  </Step>

  <Step title="Add Events">
    Select the events or transactions to analyze
  </Step>

  <Step title="Choose Measurement">
    Unique users, total count, property aggregation
  </Step>

  <Step title="Apply Filters">
    Narrow to specific segments
  </Step>

  <Step title="Add Breakdowns">
    Segment by properties
  </Step>

  <Step title="Select Visualization">
    Choose chart type and time range
  </Step>
</Steps>

### Example: Cross-Chain Analysis

Analyze user behavior across different blockchains:

1. Create an **Insights** report
2. Select event: `swap_completed`
3. Breakdown by: `chain`
4. Visualization: Stacked bar chart

Result: See swap volume by Ethereum, Polygon, Arbitrum, etc.

### Example: Wallet Connection Funnel

Track the path from landing to on-chain transaction:

1. Create a **Funnels** report
2. Step 1: `page_view` (landing page)
3. Step 2: `wallet_connect`
4. Step 3: `swap_initiated`
5. Step 4: Transaction from "Swap Router" contract
6. Filter by: `utm_source = twitter`

Result: See conversion rate from Twitter traffic to actual swaps.

## Saving & Sharing

### Save Reports

Save frequently-used reports for quick access:

1. Build your report
2. Click **Save**
3. Name your report
4. Choose visibility (personal or team)

### Add to Boards

Combine multiple reports on a dashboard:

1. Open a saved report
2. Click **Add to Board**
3. Select existing board or create new
4. Arrange on the board

See [Boards](/analysis/boards) for more details.

### Share Reports

Share with team members:

1. Save the report
2. Click **Share**
3. Enter email addresses
4. Set permissions (view or edit)

## Next Steps

<CardGroup cols={2}>
  <Card title="Insights" icon="chart-line" href="/analysis/reports/insights">
    Visualize trends and metrics
  </Card>

  <Card title="Funnels" icon="filter" href="/analysis/reports/funnels">
    Measure conversion rates
  </Card>

  <Card title="Retention" icon="calendar-check" href="/analysis/reports/retention">
    Track user engagement
  </Card>

  <Card title="Flows" icon="diagram-project" href="/analysis/reports/flows">
    Understand user paths
  </Card>
</CardGroup>