Revenue per user

Measure revenue contribution per user on your experience.

Revenue per user (ARPU) measures the average revenue generated by a single user over a selected period.

This metric helps you evaluate how effectively your experience converts user engagement into revenue, offering insights into the success of your marketing and personalization strategies.

Metrics

Revenue per user widget

The chart includes:

  1. Currency
    A filter to select orders in a specific currency. Values are never aggregated across currencies.
  2. Revenue per user
    The average amount of revenue generated by each user impacted by your experience.
  3. Revenue per user over time
    A trend chart showing the average of revenue per user over time.

Interpretation

This chart shows the average revenue each user contributes, helping you assess the financial impact of your experience.

For example, if your experience generated $1,200 from 60 active users, the revenue per user is calculated as $1,200 divided by 60 users, resulting in an ARPU of $20. This means each user generated an average of $20 in revenue during the selected period.

We calculate this metric using the formula:

Revenue per user=total experience revenuetotal experience active usersRevenue \space per \space user = \frac{total \space experience \space revenue}{total \space experience \space active \space users}

What those numbers tell you

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

  • If the revenue per user increases after launching your experience, it may indicate that personalized content is encouraging users to spend more per visit or that it increased conversion rate.
  • If the revenue per user remains stable while the number of impacted users grows, it shows that your experience is reaching more people without changing their individual spending behavior.
  • If the revenue per user decreases while sessions remain steady, it might mean users are still engaging but purchasing cheaper items or not converting on your experience.
  • When filtering by segments, the revenue per user can reveal which groups generate the most value. For example, new visitors may have a lower revenue per user, while repeat visitors or logged-in users might consistently show higher revenue per user, guiding where to focus growth strategies.