You have seen the lifts that other nonprofits are getting from A/B testing, and now you are ready to do it yourself. But you might not be sure exactly where or how to start. So in this A/B testing guide for nonprofits, you will find some tips to begin optimizing your online fundraising so you can realize greater impact.
Identify your conversion goal
You need to have a target so that you know what success means. If not, you won’t be able to design an effective test to achieve it. Start by knowing where you stand today. Determine your donation form conversion rate (number of visits to the page divided by the number of donations given). The benchmark nonprofit donation conversion rate is 4.29%.
Make sure you can measure your conversion goal.
If you can’t track it, you can’t optimize it. This is where Google Analytics comes in. Set up a conversion goal so you can track the goal. Better yet, enable e-commerce tracking in Google Analytics so you know the value of each visit. If you are using a third-party donation form that sends donors off your site to a secure landing page, make sure you know the number of people that your site sends to that page (use the number of visits to the page before the donation form, then multiply that by the exit rate percentage). Then you can see the number of gifts you get during the same time period so you can figure your conversion rate.
Craft your testing hypothesis.
Try to be as specific as possible. A well-developed hypothesis will enable you to extract the maximum amount of learnings from the test. Here’s an example of a good hypothesis: “Removing friction from the giving process by eliminating gift designations will increase the conversion rate.” Make sure you write it down so you have something to go back and reference when the test is complete.
Calculate your estimated sample size.
This will help you get a sense for how long your test needs to run. You can use Optimizely’s Sample Size Estimator tool. You will need to know your estimated conversion rate, and you can use your current benchmark (step number 2) or the nonprofit benchmark rate of 4.29%.
Design your treatment.
Now that all of the planning work is done, you are ready to create a variation of your page. Your existing page will become the “Control,” and the variation will become the “Treatment.” For your first experiment, we would recommend more of a “radical redesign” to maximize your potential lift.
Set up your experiment.
In order to run your experiment, you need to split your traffic. There are a number of tools that will allow you to do this. The ones that we like to use are Visual Website Optimizer (VWO) and Optimizely. You can use Google Analytics as well, but we have found it is hard to set up for most organizations and you have less control over the amount of traffic that gets sent to the pages. You can find a step-by-step guide to using Google Analytics to run an A/B split test here.
Validate results and document learnings.
Once you start getting results in, you can use NextAfter’s online test validator to determine if you have a valid test result. If not, you can let the test continue to run or stop it and create a new treatment.
Share your results, change the world.
The more you test, the more you learn, so share those learnings with our industry so that we can raise up the most generous generation in the history of the world. You can publish your test results to the Online Research Library so that we all can learn what works to inspire generosity.