What Are Numeric Metrics?
Numeric metrics aggregate event values per user—counting occurrences, summing totals, or averaging amounts—to measure feature impact. Unlike conversion rates, they focus on raw values (e.g., purchase prices, session times). Equal weighting across users in Experiments is ensured by averaging data per user, preventing heavy user bias from skewing results.Aggregation Methods
Numeric metrics require an aggregation method to process event data:Count
The average count of events per user.Example: Average Purchase Count per UserOther examples: The average number of video plays, help requests per user.
- If User A makes 3 purchases and User B makes 1, the metric averages to 2.
- (3 + 1) / 2 = 2
Returning users raise the average, new users lower it.
Sum
The average sum of event values per user.Example: Average Total Spend per UserOther examples: The average total time spent watching videos, pages visited on your site.
- If User A spends $100 and User B spends $50, the metric averages to $75.
- ($100 + $50) / 2 = $75
Frequent users increase the sum, new users dilute it.
Average
The average of per-user event averages.Example: Average Purchase Price per UserOther examples: The average time on site per session, items added to the cart.
- If User A’s purchases average $40 and User B’s average $60, the metric is $50.
- ($40 + $60) / 2 = $50
The average reflects per-user values—new users’ data can shift it up or down based on their behavior.
Next Steps
- See examples in Examples.
- Track events in Quickstart: Send Events.
- Explore Conversion Rate Metrics.