# Total revenue

Measure the impact of your experiment on revenue.

> **Tracking required**
>
> Track the [Order placed](/reference/event/types/ecommerce/order-placed) event to feed data into this widget.

This chart shows the total revenue generated by your experiment, broken down by variants. It helps you assess how different versions of your experiment impact purchasing behavior and overall sales performance.

## Metrics

![Total revenue widget](/assets/reference/analytics/experiment/total-revenue.png)

The chart includes:

1. **Currency**\
   A filter to select orders in a specific currency. Values are never aggregated across currencies.
2. **Revenue**\
   The total revenue from completed orders within the experiment.
3. **Revenue per variant**\
   A breakdown of total revenue by experiment variant.

> **Question: What does the comparison over the last period mean?**
>
> It represents the growth or decline of the metric compared to the previous period.
>
> The *last period* refers to the date filter you selected. For example, if the filter is set to the **last 7 days**, the *last period* will be the **7 days immediately before that range**.

## Interpretation

This chart helps you understand how effectively each experiment variant contributes to generating revenue. For example, if Variant B consistently shows higher revenue than Variant A, it may indicate that the changes introduced in Variant B are positively influencing user purchasing behavior.

### What the number tells you

Here are some common insights you can get from this widget:

- A higher revenue for a given variant suggests that its content, design, offer, or messaging drives purchases more effectively.
- A lower revenue for a given variant could mean that adjustments negatively affected conversion or average order value.
- A similar revenue across variants may indicate that the tested changes have little impact on user spending behavior.

## Explore

- [Events](/reference/event/overview#event-types): Learn how to track user events for analytics and personalization.
- [Audiences](/explanation/audience): Understand how to delivery content to specific groups of users.
