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A/B Testing API Cost Per-User Calculator Examples

Worked examples showing how test traffic, API calls, pricing, and fixed fees affect A/B testing cost per user.

These examples show how the calculator handles a small pilot, a broad product experiment, and a high-frequency evaluation setup. Each uses monthly estimates and separates usage-based charges from fixed platform costs.

1

Small pilot with a fixed platform fee

A team exposes 10% of a 20,000-user monthly audience to a new onboarding test.

Input Summary

Monthly active users

20,000 users

Traffic included in test

10%

API calls per tested user

5 calls

API cost per 1,000 calls

$1.50

Monthly platform fee

$300

Calculation Breakdown

  1. 1Tested users20,000 × 10%2,000 users
  2. 2API calls2,000 × 510,000 calls
  3. 3Usage cost(10,000 ÷ 1,000) × $1.50$15.00
  4. 4Total cost$15.00 + $300.00$315.00
  5. 5Cost per tested user$315.00 ÷ 2,000$0.1575

Result Summary

Total cost

$315.00

A/B Testing API Cost Per-User Calculator

The estimated monthly test cost is $315.00, or $0.1575 per tested user.

2

Mid-size experiment with balanced traffic

A product team runs an experiment for half of 100,000 monthly active users.

Input Summary

Monthly active users

100,000 users

Traffic included in test

50%

API calls per tested user

20 calls

API cost per 1,000 calls

$2.00

Monthly platform fee

$100

Calculation Breakdown

  1. 1Tested users100,000 × 50%50,000 users
  2. 2API calls50,000 × 201,000,000 calls
  3. 3Usage cost(1,000,000 ÷ 1,000) × $2.00$2,000.00
  4. 4Total cost$2,000.00 + $100.00$2,100.00
  5. 5Cost per tested user$2,100.00 ÷ 50,000$0.0420

Result Summary

Total cost

$2,100.00

A/B Testing API Cost Per-User Calculator

The estimated monthly test cost is $2,100.00, or $0.0420 per tested user.

3

High-frequency feature evaluation test

A team evaluates an experiment flag frequently for 80% of 250,000 monthly active users.

Input Summary

Monthly active users

250,000 users

Traffic included in test

80%

API calls per tested user

75 calls

API cost per 1,000 calls

$0.80

Monthly platform fee

$500

Calculation Breakdown

  1. 1Tested users250,000 × 80%200,000 users
  2. 2API calls200,000 × 7515,000,000 calls
  3. 3Usage cost(15,000,000 ÷ 1,000) × $0.80$12,000.00
  4. 4Total cost$12,000.00 + $500.00$12,500.00
  5. 5Cost per tested user$12,500.00 ÷ 200,000$0.0625

Result Summary

Total cost

$12,500.00

A/B Testing API Cost Per-User Calculator

The estimated monthly test cost is $12,500.00, or $0.0625 per tested user.

How to Read Your Results

Cost per tested user is the total monthly estimate allocated only across users who were exposed to the experiment.

Total monthly test cost combines variable API usage charges with the fixed fee entered for the test.

Monthly test API calls show the expected experiment-related volume before pricing is applied.

Cost per active user is useful for viewing the test cost across the full product audience, but it is not the direct cost of an exposed user.

Compare scenarios using the same pricing basis and the same definition of experiment-related calls.

Assumptions & Important Notes

  • Each example uses a constant cost per 1,000 calls with no separate free tier or volume discount calculation.
  • Fixed platform fees are fully assigned to the illustrated experiment.
  • Calls per user are monthly averages and can include assignment, evaluation, or tracking calls if relevant.

Related Examples

Frequently Asked Questions

Why can a smaller A/B test have a higher cost per user?

A fixed monthly platform fee is divided among fewer exposed users, increasing its per-user share.

Does increasing test traffic always increase cost per tested user?

Not always. If calls per user and usage pricing stay constant, variable cost per user stays similar, while a fixed fee is spread over more users.

How should I estimate API calls per tested user?

Use expected experiment-related requests per exposed user over the month, including only calls you want this budget estimate to cover.

Can I use these examples for annual planning?

They are monthly estimates. Annual planning may require separate assumptions for changing user volume, pricing, and experiment duration.

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