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

# A/B Testing

> Test different conversation strategies to optimise conversions

Run controlled experiments on your AI assistant's conversation strategies. Test different greetings, tones, upselling approaches, and more to find what converts best.

<Info>
  A/B Testing is available on **Pro Plus**.
</Info>

## How It Works

1. **Create a test** — define two variants (A and B) with different settings
2. **Traffic is split automatically** — each visitor gets a consistent experience across sessions, so they always see the same variant
3. **Track results** — compare conversion rates, average order values, and engagement metrics
4. **Pick a winner** — end the test and apply the winning variant

## Test Types

| Type          | What You're Testing                          |
| ------------- | -------------------------------------------- |
| **Greeting**  | Different opening messages                   |
| **Tone**      | Friendly vs professional communication style |
| **Upselling** | Subtle vs proactive accessory suggestions    |
| **Custom**    | Any other conversation variable              |

## Creating a Test

| Field             | Description                                               |
| ----------------- | --------------------------------------------------------- |
| **Name**          | Internal name (e.g. "Greeting Test - March 2026")         |
| **Type**          | What aspect you're testing                                |
| **Variant A**     | Control — your current approach                           |
| **Variant B**     | Challenger — the new approach to test                     |
| **Traffic Split** | Percentage of traffic seeing each variant (default 50/50) |

## Results

Each test tracks:

* **Impressions** — Conversations per variant
* **Conversions** — Bookings per variant
* **Conversion Rate** — Percentage comparison
* **Statistical confidence** — Whether the difference is meaningful

## Best Practices

* **Test one thing at a time** — changing greeting AND tone makes it impossible to know what worked
* **Run tests for at least 2 weeks** — small sample sizes give misleading results
* **Don't peek and stop early** — let the test reach statistical significance
* **Document your learnings** — build institutional knowledge about what your customers respond to