Nonprofit Donation Page Basics: How to Optimize for More Donations
Why Your Donation Page Matters More Than You Think Imagine this: a potential donor clicks through to your nonprofit’s donation page, ready to support...
Use no-code tools to quickly build donation page variants, launch A/B tests, and get clear results that help you drive more donor conversions with a single platform.
New to online donation pages for your nonprofit? Start here.
Donation page A/B testing - no science degree needed.
Keep your donation page loading fast - and drive higher conversions.
Optimizing your donation pages is equally important as optimizing the marketing and communications activities that lead people there. Your organization doesn’t need to be one of the big dogs to run these experiments!
Running A/B tests one at a time throughout the year, especially during your biggest fundraising campaigns, will help you write and structure your donation pages to boost the number and size of gifts—and the number of donors who choose that golden “Monthly” option.
Here are the eight A/B tests I would prioritize running this year, no matter your nonprofit’s size or cause area.
If you pick one of these 8 tests to run every month starting now, you’ll enter Q4 knowing how to structure your year-end donation page. Zing!
How Do I Run These A/B Tests Properly?
If you use iDonate, A/B testing is built into the platform, making it easy to compare variations and optimize your donation page for better results.
If you’re on a different fundraising platform, there are a lot of different tools and plug-ins out there. Or, the simplest way to run an A/B test is to create two separate versions of the donation page with just one change between them. Then, split your emails and digital ads to send equal groups of people to each version. Some ad platforms, like Meta Ads, have built-in A/B test functionality.
To ensure reliable results, run your test for at least one week—ideally two. The more traffic your pages receive, the faster you’ll be able to gather meaningful data.
Once the test period is complete, you can use a statistical significance calculator to confirm whether the observed differences are due to actual donor behavior rather than random chance.
This guide goes into more detail on how to run a proper A/B test and the biggest mistakes to avoid. If you run any of these tests, please message me to share the results. I’m so curious! 🤓
About the Author
Caroline Griffin has worked in nonprofit marketing, communications, and digital fundraising since 2013. She has seen it from all angles: in-house as a marketing team of one, agency-side serving dozens of clients over the years, and as a solo consultant since 2020.
About Marketer on a Mission
As the Marketer on a Mission, Caroline helps nonprofits grow their fans and funds online with donor research, strategy, and implementation support. You can check out her website to learn more and sign up for her monthly newsletter, The Good Stuff.
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