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New Revenue Tracking Feature with Bayesian Insights

· 2 min read

We’re excited to introduce Revenue Tracking for your experiments. This new feature allows you to measure monetary impact directly in your experiments, giving you insights into which variations drive the most revenue.

With revenue tracking, you can see not only conversions but also actual revenue metrics, such as total orders, total revenue, avg. items per order, average order value (AOV) and average revenue per visitor (ARPV) per variation. The dashboard also provides Bayesian probability calculations, helping you understand the likelihood that one variation outperforms another.

How It Works​

Revenue tracking works through a revenue callback that you implement on your success page.

For e-commerce sites, the success page is typically the “thank-you” or order confirmation page — the page that confirms a purchase and includes details about the transaction.

When a visitor completes a purchase, your callback should send the following information to Lyftio:

  • orderId: Unique order identifier
  • totalValue: Total value of the order
  • itemQty: Number of items purchased

Example Revenue Data​

Here’s an example of what the revenue data might look like:

{
  orderId: "abc123",
  totalValue: 12345.9,
  itemQty: 2
}

Once implemented, Lyftio will associate this revenue data with the visitor’s assigned variation and aggregate it in the experiment reports.

Bayesian Probability Insights​

With this feature, Lyftio calculates Bayesian probabilities for key revenue metrics:

  • Average Order Value (AOV): Understand which variation is likely to generate higher order values.
  • Average Revenue Per Visitor (ARPV): See which variation is most likely to maximize revenue per visitor.

These probability calculations give you a quantitative estimate of confidence in each variation’s performance, allowing you to make more informed, data-driven decisions.

Benefits of Revenue Tracking​

With this feature, you can:

  • Measure monetary performance of each variation
  • Track average order value and revenue per visitor
  • Gain Bayesian probability insights for AOV and ARPV
  • Make data-driven decisions about which variations maximize revenue

Revenue tracking goes beyond simple conversion metrics and evaluates the true business impact of your experiments.