Validate new ideas
Don’t build on a cracked foundation. A/B testing your nonprofit's value prop and mission positioning helps you learn what your donors respond to.
Start converting more donors with our guide to donation pages.
Donation page A/B testing - no science degree needed.
We're showing you how to keep your donation page loading fast - and driving higher conversions.
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.
Use no-code tools to quickly build donation page variants, launch A/B tests, and get clear results that can drive 150% more conversions.
With built-in A/B testing, you can quickly build new variants, launch tests, and analyze results with a few clicks and without asking for help
Create unlimited page variants to test everything from headlines and images to calls to action so you never miss an opportunity to optimize.
With donation page A/B testing, the possibilities are endless. You can test so much more than copy and CTAs, even though they’re great for conversion. A/B testing (and a test-first culture) are your secret tools for digital fundraising growth, at any stage.
Don’t build on a cracked foundation. A/B testing your nonprofit's value prop and mission positioning helps you learn what your donors respond to.
iDonate's no-code A/B testing tool is built for fundraisers with no time to ask for help (no designers or devs needed) so you can own experiments from start to finish.
A bumpy donor experience can be a real buzz kill. A/B testing different donation page configurations and layouts can create a ripple effect, leveling up all other aspects of your donation page performance.
From our donation page templates to our A/B testing tool, everything that iDonate does is built on NextAfter's 7,000+ experiments.
And, as a preferred optimization partner, you get access to exclusive resources focused on conversion rate optimization, A/B testing, and donation page best practices.
Learn more about NextAfter's Optimization Partner Program on their site.
Identify a goal. Build a hypothesis. Calculate your sample size. Design your variant. Launch your test. Verify results. Repeat.
Proper sample sizes can vary by test type and hypothesis - but generally takes the following data points into consideration : Baseline Conversion Rate (existing donation page CVR %), minimum detectable effect (the minimum CVR rate % to observe), and statistical significance (typically 95% or more).
Most nonprofit start their experimentation journey with testing a handful of the basic elements of their donation page: value propositions, donation frequency, gift arrays, form fields, security reassurances, and re-engagement tactics are a perfect place to start (and are all supporting in iDonate).
It can vary for each nonprofit, but here's a few of the most common metrics to us for measuring the success of an A/B test: conversion rate, average donation amount (average gift size), form completion rate, traffic source performance.