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A/B Testing Cloud Cost Per-User Formula

Learn how to estimate total A/B test cloud spend, blended cost per user, and incremental cost versus the control experience.

This calculation estimates the infrastructure cost of exposing users to an A/B test. It separates control and variant traffic, adds any fixed experiment costs, and compares the result with a control-only baseline for the same estimated audience.

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Blended cloud cost per user

Blended cost per user = ((Control users × Control cost per user) + (Variant users × Variant cost per user) + Fixed test cost) ÷ Test users

Where:

Calculate each group's variable cloud cost, add the one-time test cost, and divide the total by everyone estimated to see the experiment.

Variables Explained

VariableWhat It MeansUnit
monthlyUsers - Monthly active usersExpected users of the tested feature or service in a typical 30-day month.users
testDurationDays - Test durationNumber of days the experiment runs.days
testUsers - Estimated test usersEstimated users exposed during the test period.users
variantTrafficPercent - Variant traffic allocationPercentage of estimated test users assigned to the variant.percent
controlUsers - Control usersEstimated test users remaining in the control group.users
variantUsers - Variant usersEstimated test users assigned to the variant group.users
controlCostPerUser - Control cloud cost per userVariable cloud cost for one user served by the existing experience.currency
variantCostPerUser - Variant cloud cost per userVariable cloud cost for one user served by the proposed experience.currency
fixedTestCost - Fixed test cloud costOne-off cloud costs attributable to the experiment.currency

Step-by-Step Calculation

1

Estimate exposure during the test

Scale typical monthly active users to the selected number of test days.

testUsers = monthlyUsers * testDurationDays / 30

2

Split users between the groups

Apply the variant allocation to the estimated test audience.

variantUsers = testUsers * variantTrafficPercent / 100

3

Calculate control users

The rest of the estimated test audience is assigned to control.

controlUsers = testUsers - variantUsers

4

Calculate variable group costs

Multiply the users in each group by that experience's variable per-user cost.

controlCloudCost = controlUsers * controlCostPerUser; variantCloudCost = variantUsers * variantCostPerUser

5

Calculate total test cloud cost

Add both group costs and the fixed cloud costs of running the experiment.

totalTestCloudCost = controlCloudCost + variantCloudCost + fixedTestCost

6

Calculate the baseline and incremental cost

Compare test spend with serving every estimated test user through control.

baselineCloudCost = testUsers * controlCostPerUser; incrementalCloudCost = totalTestCloudCost - baselineCloudCost

7

Calculate cloud cost uplift

Express the change from the control-only baseline as a percentage.

costUpliftPercent = incrementalCloudCost / baselineCloudCost * 100

Worked example: 14-day 50/50 experiment

Monthly active users100,000 users
Test duration14 days
Variant traffic allocation50%
Control cloud cost per user$0.020
Variant cloud cost per user$0.030
Fixed test cloud cost$100.00
1

Estimated test users

100000 * 14 / 30

46,666.67 users

2

Variant users

46666.67 * 50 / 100

23,333.33 users

3

Control group cloud cost

23333.33 * 0.020

$466.67

4

Variant group cloud cost

23333.33 * 0.030

$700.00

5

Total A/B test cloud cost

466.67 + 700.00 + 100.00

$1,266.67

6

Control-only baseline

46666.67 * 0.020

$933.33

7

Blended cost and incremental cost

1266.67 / 46666.67; 1266.67 - 933.33

$0.027 per user; $333.33 incremental

Final Result

Estimated A/B test cloud spend is $1,266.67, with a blended cost of about $0.027 per exposed user and an incremental cost of about $333.33 versus control.

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Assumptions

  • Monthly active users are distributed evenly across a 30-day month.
  • Each exposed user creates average variable cloud usage represented by the selected per-user cost.
  • The entered control and variant costs cover the relevant variable services being compared.
  • Fixed test cloud costs occur once during the selected test period.
  • The baseline assumes every estimated test user would otherwise be served by the control.

Limitations

  • !Actual traffic can vary by day, time zone, campaign activity, and user behavior.
  • !Caching, retries, autoscaling, provider billing increments, and free allowances can make billed costs differ from the estimate.
  • !Per-user cost may change when users generate different numbers of requests, storage operations, or data transfers.
  • !The calculation excludes items not entered, such as engineering time, vendor contracts, taxes, or committed-use discounts.

Common Mistakes to Avoid

1

Using total product monthly users instead of users expected to reach the tested feature or journey.

2

Entering a monthly cost as a per-user cost without first dividing it by the comparable user count.

3

Forgetting fixed experiment costs such as extra logging, dashboards, or temporary environments.

4

Using a traffic allocation as a decimal when the input expects a percentage, such as entering 0.5 instead of 50.

5

Comparing a test period with a baseline measured over a different number of users or days.

Related Formulas

Frequently Asked Questions

How is A/B test cloud cost per user calculated?

Total control-group cost, variant-group cost, and fixed test cloud cost are added together and divided by estimated test users.

What is incremental cloud cost in an A/B test?

It is total test cloud cost minus the estimated cost of serving the same users only through the control experience.

Can incremental cloud cost be negative?

Yes. It can be negative when the variant's lower variable cost outweighs fixed test costs and any higher-cost usage.

Does a 50/50 split double cloud cost?

Not necessarily. A 50/50 split changes the mix of users receiving each experience. The cost depends on both per-user costs and fixed test costs.

Why is blended cost per user higher for a short experiment?

Fixed test costs are divided among fewer exposed users, so they have a larger per-user effect.

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