You ran an A/B test for your traffic campaigns. Now what? You have two sets of numbers, but you need to know which variant actually puts more cash in your bank with statistical certainty. Trusting your gut can cost you thousands.

This tool takes the guesswork out of optimization. It tells you the definitive winner and the exact profit difference, turning small percentage lifts into huge monthly gains.

A/B Test Profit Calculator: Stop Guessing, Start Winning

Step 1: Input Your Test Data 

You need to plug in the numbers for your Control (Variant A) and your Test (Variant B). Get these totals directly from your ad platform and analytics platform for the duration of the test.

Data Point	What It Is	Why It Matters
Daily Impressions	The number of times your ad/page was seen daily.	This is your sample size base.
CTR (%)	The Click-Through Rate. The percentage of impressions that resulted in a click to your page.	Higher is usually better, it means your ad hook is working.
CPC	The Cost Per Click. How much you paid for each click.	Lower is always better; it cuts your daily cost.
RPM	The Revenue Per Mille (1,000 Impressions). Your site’s earning power.	Higher is better; it tells you how much revenue you make per view.

Important: Enter the data for Variant A (your original setup) and Variant B (your new test setup) into their respective sections.

Step 2: Define Test Settings and Calculate

Before you click the button, tell the calculator two quick things:

• Days Running: How many total days did you run this A/B test? This is crucial for determining statistical significance (that’s the nerdy way of saying, “Is this result real or just luck?”).
• Currency: Select your currency (e.g., USD, NGN, GBP).

Click the blue Compare Variants button.

Step 3: Read the Verdict and Statistical Significance 

Stop scrolling right here. This is the only part that matters.

• Winner Card: This instantly highlights Variant A or Variant B as the winner based on Daily Profit. It also gives a Confidence score: you need 95% Confidence to fully trust the result.
• Daily Profit Difference: Look at this number first. This is how much more (or less) money you make daily by switching to the winning variant.
• Statistical Significance: This is the most critical analysis.
  • Statistically Significant: The difference is reliable. You can stop the test and implement the winner.
  • Trending: The result looks good, but you need more data. You haven’t had enough users see the test yet.
  • Insufficient Data: Stop making decisions. You need to run the test much longer.

The calculator provides your Monthly Impact and Yearly Impact, taking that small daily profit difference and blowing it up. It shows you the cost of running the wrong variant. You’re potentially losing thousands yearly just because you quit the test too early.

Step 4: Take the Actionable Recommendation 

The tool gives you a final, simple recommendation in the bottom card:

1. If the test is Significant: It tells you to Kill the loser and go 100% with the winner. It quantifies the money you are losing by keeping the loser running. Exactly! That’s so true.
2. If the test is not Significant: It tells you to Keep testing and suggests how many more days you should run the test to gather enough data. Don’t make a decision until the numbers prove it.