A/B Testing Gaming Frame Rate (Monthly) Calculator Examples
Worked scenarios showing how a higher-FPS game experiment can change estimated monthly conversions and conversion value.
These worked examples use assumed relative conversion uplifts to illustrate how player volume, traffic allocation, baseline conversion rate, and value per conversion affect projected monthly impact. They are planning scenarios, not evidence that a frame-rate change will create the same outcome.
How to Read Your Results
Incremental conversions compare the mixed control-and-test result with an all-control monthly baseline.
A positive result reflects the uplift assumption entered for test players; it is not proof of causation.
The projected test conversion rate is a relative adjustment to the control conversion rate.
A larger test allocation increases the share of monthly players exposed to the assumed test effect.
Incremental monthly value equals estimated incremental conversions multiplied by the chosen value per conversion.
Assumptions & Important Notes
- Each scenario assumes that the entered control conversion rate applies to the control group.
- Expected uplift is treated as a relative percentage change, not as percentage points.
- The average conversion value is assumed to be consistent across the tested audience.
- Players are assumed to be split into groups according to the stated allocation.
Related Examples
Frequently Asked Questions
What does a small-audience frame rate test look like?
For example, 20,000 eligible players, a 50% test split, a 4% control rate, and a 5% relative uplift imply 20 incremental conversions. At $8 per conversion, that is $160 in estimated monthly value.
How does a low baseline conversion rate affect the estimate?
With the same audience and relative uplift, a lower baseline produces fewer incremental conversions because fewer players are expected to convert in the first place.
What happens if the test group receives 80% of traffic?
More players receive the projected test conversion rate, so the one-month modeled impact rises or falls proportionally with the assumed effect. This does not address experiment-risk or analysis considerations.
Can I use these examples for subscriptions rather than purchases?
Yes. Define conversion consistently, use the corresponding baseline conversion rate, and enter a consistent average value per conversion.
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