Wordsmith "Supported metric types" (#10421)

contents/docs/experiments/statistics.mdx

@@ -54,14 +54,21 @@ With a 100% win probability, you can confidently declare the test variant as the
 
 ## Supported metric types
 
-Experiments support a few different types of metrics, and each metric type uses a model appropriate to the shape of its data.
-
-For example, funnel conversions are always between 0% and 100%, pageview counts can be any positive number (0, 50, 280), and property values can vary widely and tend to be right-skewed.
-
-The following explain how Bayesian statistics is applied to each type of metric:
-
-- [Beta model for funnel metrics](/docs/experiments/funnels-statistics) to analyze conversion rates through multi-step funnels.
-- [Gamma-poisson model for trends metrics with count-based data](/docs/experiments/trends-count-statistics) like pageviews or interaction events.
-- [Lognormal model with a normal-inverse-gamma prior for trends metrics with property values](/docs/experiments/trends-property-value-statistics) like revenue.
+Experiments support three different types of [metrics](/docs/experiments/metrics), each with a statistical approach appropriate to the shape of its data:
+
+1. **Funnel metrics** (like conversion rates)
+   - Data is always between 0% and 100%.
+   - Example: Percentage of users who complete a purchase.
+   - Uses a [Beta model](/docs/experiments/funnels-statistics).
+
+2. **Count-based trend metrics** (like event totals)
+   - Data is any non-negative whole number (0, 1, 2, etc.).
+   - Examples: Number of pageviews, button clicks, or form submissions.
+   - Uses a [Gamma-Poisson model](/docs/experiments/trends-count-statistics).
+
+3. **Value-based trend metrics** (like monetary amounts)
+   - Data can be any number and often has a long tail of high values.
+   - Examples: Revenue per user, time spent on page.
+   - Uses a [Lognormal model](/docs/experiments/trends-continuous-statistics).
 
 If your experiment was created prior to January 2025, it is [evaluated using the legacy methodology](/docs/experiments/legacy-methodology).