# Total sign-ups

Understand how many new accounts your experiment generated.

> **Tracking required**
>
> Track the [User signed up](/reference/event/types/user-account/user-signed-up) event to feed data into this widget.

This chart shows how many sign-ups were generated by users who participated in your experiment.

We count a sign-up every time your application sends a sign-up event, usually when a user creates a new account.

Because this widget breaks results down by variant, it helps you understand how each version of your content, layout, incentive, or message influences account creation behavior.

## Metrics

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

The chart includes:

1. **Total sign-ups**\
   The number of sign-ups generated during your experiment.
2. **Sign-ups per variant**\
   The number of sign-ups generated by users who were impacted by each variant in your experiment.

> **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 many new accounts your experiment is generating and how each variant contributes to this outcome.

For example, if Variant C introduces social proof or reduces the number of required fields, you can track whether total sign-ups increased among users assigned to that variant.

### What the number tells you

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

- A rising sign-up count for a given variant suggests that its experience resonates more strongly with users and encourages more of them to create an account.
- A decline or consistently low count for a given variant may indicate friction in the sign-up process, lack of clarity in the value proposition, or a mismatch between content and user intent.
- Similar sign-up counts across variants may indicate that the differences between versions are too subtle to influence decisions.
- Sudden spikes or drops in sign-ups might be linked to external factors, such as campaigns, traffic changes, or seasonal trends affecting the experiment.

## 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.