If you’ve been using iPaper for a while, it’s likely that you’ve come across our Tools Site that offers you important, yet easy-to-use tools that make creating your Flipbooks that much easier.
We’ve recently added a new function to our Tools site: Split Testing for Flipbooks, and this guide will go through exactly what split testing is, and how it can benefit your Flipbook performance.
🔰 Before you get started
This guide assumes that you have fulfilled the requirements in order to be able to split-test your Flipbooks:
Have created at least 2 separate Flipbooks in iPaper, which can be tested against each other
Have a specific goal in mind for split testing, such as whether a specific CTA performs better than another
Already know why you should be split testing? Skip over to how to set up your split testing.
🔴 or 🔵 ? Why you should split test your Flipbooks
Split testing, also sometimes referred to as A/B testing, allows us to compare two subtly different versions of a Flipbook. These two versions consist of an original, control Flipbook (version A), and a second (version B) which holds a variation of whatever it is you are testing.
So, if you’re wondering whether a red, or blue call-to-action drives more conversions, or whether putting your store locator on page 2, instead of 4 will drive more footfall to your stores, then our Split Test tool can help you find the answers to these questions.
There is no Universal Truth for what works best
When creating your Flipbook, you might have looked online for advice on what works best to achieve your goal. The simple truth of the matter is that, while there might be general principles that are proven to work, there is no single, universal factor that will determine an outcome for your Flipbook. After all, your Flipbook is unique, with a layout, colors, content and audience that is different from any others.
Split testing allows you to take out the guesswork about what might work best, and show you, through data, what does work best, for your customers.
With that said, there are a few basic principles when split testing, to make your tests as accurate and practical as possible. Get acquainted with our Best Practices Guide, below.
Ready to start testing? Here’s how you get started
Using the fantastic advice from our Best Practices Guide above, you should now have a clear idea of the differentiating factor that you'd like to test, and you've created the two Flipbooks you'll be testing against each other.
Putting your test into action takes just a few, incredibly simple steps:
Open the Split Testing Tool:
You'll want to enter the URL (link) of your first Flipbook in the URL 1 field, and the URL of the second Flipbook in the URL 2 field.
💡 You can get the URLs for each Flipbook you'd like to test by clicking on the '…' button inside the Flipbook view in iPaper, and select Get Flipbook URL.
🏷️ If you want to include UTM tags, you'll want to make sure to include these when you enter these into the split testing tool.
By default, your Flipbooks will 'weighted' at 50% each, meaning that, for example, of 100 visitors, half will be shown Flipbook A, and the other half will be shown B.
If you'd like to weight your 2 URLs differently, you can adjust the percentages in the fields beside each URL.
Next, click on the Generate Test URL button to generate your split testing URL. It is via this link that your visitors will be presented with one of your 2 test URLs.
Click on the Copy button to the right-hand side of the URL pane to copy your test URL, and use it in the same way as you'd otherwise use a link to your Flipbook.
With your test URL generated and copied to your clipboard, you can now expose however large or small an audience you'd like to your control Flipbook, and a test variant. Simple!
Get better results by following best practices
One last thing before you jump into testing every Enrichment or layout imaginable, in your Flipbook: you'll get more reliable results by following a few best practice rules when it comes to split testing. Luckily, we've collected them into a handy guide:
Happy testing! ✌️