OPTIMIZATION
How to Measure the Impact of an A/B Testing Program
OPTIMIZATION
How to Measure the Impact of an A/B Testing Program
A/B testing is an indispensable tool for gaining deep customer insights, enhancing user experiences, boosting conversions, and trimming acquisition costs. It allows businesses to make data-driven decisions, optimizing every aspect of their digital presence to meet and exceed customer expectations. By experimenting with different variables—such as website design, messaging, and user flow—businesses can identify what truly resonates with their audience and drives measurable results.
Step 2: Calculate Incremental Lift in Revenue Per Session
The incremental lift in revenue per session reveals the additional revenue gained by running the winning experiment. It's a crucial metric for understanding the direct impact of your A/B testing efforts.
To calculate this, subtract revenue per session of the control from the test treatment. Then, divide that number by the revenue per session of test treatment and multiply the answer by 100.
Example:
$34.77 – $33.58 = $1.19 incremental revenue per session ($)
$1.19 ÷ $34.77 x 100 = 3.54% incremental revenue per session (%)
Step 3: Calculate the Cost of Running the Test
Running A/B tests isn't cost-free. If the sessions that viewed the control treatment had received the test treatment instead, we would expect that those sessions would also generate 3.54% in incremental revenue. However, since we ran a split 50/50 test, 50% of sessions did not garner incremental revenue. Therefore, there was a cost to run the test.
To estimate the cost of running the test, multiply the total revenue generated by the control treatment by the incremental revenue per session.
Example:
Control Treatment: $2,081,976 x 3.54% = $73,783 cost of test
Step 4: Identify a Multiplier for Test Distribution
The multiplier accounts for how your traffic was divided during the A/B test. It's used to estimate the value of the winning experiment when rolled out to 100% of your traffic. Use the following table to identify your multiplier based on how you’ve split your traffic in your test.
Since our A/B ran at a 50/50 split, we will use a 2.00 multiplier in the remaining calculation.
Step 5: Calculate the Value Gained If Rolled Out 100%
Example:
Test Treatment: $73,783 ✕ 2.00 = $147,566 value of test at 100%
Step 6: Calculate Value Gained From Testing Period
Now, let's determine the value gained from running the winning test solely during the testing period. Subtract the cost of running the test from the estimated value if rolled out to 100% of your traffic.
Example:
$147,566 – $73,783 = $73,783 value of testing during testing period
Assuming that the winning treatment is applied to 100% of your traffic, you can predict how much incremental revenue you'll gain over a specific period, usually around 120 days. To do this, divide the value of the test at 100% by the number of days it was tested, and then multiply the daily gain by your forecasted number of days.
Example:
$147,566 ÷ 35 days = $4,216 daily gain
$4,216 X 120 days = $505,940 forecast incremental revenue gain
Step 8: Calculate Overall Program Value
Your A/B testing program will likely include multiple tests, some successful and others not. To calculate the total value of your A/B testing program, you'll need to apply the above steps to all tests, both winners and losers. Add the values together and subtract your operational cost (or use a $10K benchmark) to find the overall value of your A/B testing program.
This comprehensive approach allows you to make informed decisions about your testing program's profitability and determine which tests are generating positive value gains. Regardless of the metric you use to measure success, this method provides an essential framework for evaluating your testing efforts.
Investing in Testing
Ready to take your A/B testing and Conversion Rate Optimization efforts to the next level? Look no further than PeakActivity, a leader in the field with a proven track record of helping businesses maximize their online potential. Our team has conducted tens of thousands of A/B testing programs for clients, and we're here to provide you with the expertise and guidance you need. Whether you're looking to boost conversions, enhance user experiences, or reduce acquisition costs, we have the tools and experience to drive results. Don't leave your online performance to chance – partner with PeakActivity and unlock the full potential of your digital presence.
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