Finally, one of our most requested-module is here!
Yes, it's A/B testing for one-click upsells and order bump.
It took us six months to build it and pass the module through rigorous testing. I'm proud to announce that it's super easy to set up, and the interface is quite intuitive too.
In this post, I'll show you what elements you can A/B test, how to set up your first A/B test, and so much more!
So, let's dive right in.
A page with just a video or a text-based page?
Here's another question:
Do you think a long-form upsell page will convert better than a short-form upsell page?
Well, the truth is, no matter which option you select, you don’t know what your buyers will choose.
That's because you don't know about their frame of mind at the point of making a purchase. So you cannot pick an option with 100% confidence.
And if you do, you're only guessing based on what you know and what you've learned.
The problem with guesswork is that it is:
The simplest way to say goodbye to guesswork and welcome informed decisions is to A/B test your upsell and cross-sells.
A/B testing is creating two or more versions of the same page and splitting your traffic between them.
Experimenting allows you to learn a great deal about buyers' psychology and what appeals to them. Finding your winning offer will directly impact your bottom line.
Here's an example of two identical variants that were tested against each other, except there was a slight difference. One was without the salutation, and the other was with it:
The page without the greeting 'Dear friend', lifted the conversions by 28.1%. See the source here.
Sometimes tiny changes can produce significant impacts.
There are several external tools that you can use to run your A/B tests. But the problem with them is that they were never designed for testing one-click upsells and order bumps.
They can do a great job with sales pages and landing pages- but when it comes to testing your back-end funnels or bump on the checkout page- these tools fall flat on their face.
Post-purchase upselling is more complicated - A/B testing offer sequence, number of offers, even discounts is not doable for most tools out there, unless you hire experienced developers.
The same is true for bumps on the checkout page.
This makes A/B testing out of reach for most of our users.
Now no more!
For starters, we believe that no matter where you are in your journey - you should always A/B test your upsells.
It will unlock hidden insights for you and make you more confident about your offers. It's 100% more useful and reliable than conducting some surveys where people are mostly not speaking their mind.
That's why when we were creating our A/B test module - we made it a point to make the interface super intuitive, and the part where you see the results is, even more, user-friendly.
Before that, let's look at what you can A/B test in one-click upsells and order bumps.
There are several things you can A/B test on a page- right from the color of the button to the font size and even its copy.
But we've picked the elements that make the most impact on conversions. Take a look:
Not just that. You can also test:
Here’s what you can test:
So if you're unwilling to settle for the results you're getting and believe there's a scope for improvement, you would love A/B testing by FunnelKit (formerly WooFunnels).
Let's look at how to set up your first test.
In this section of the post, we'll look at the simplest method to set up your first A/B test.
Follow the process.
When you click on 'Experiments' under FunnelKit (formerly WooFunnels), you'll see a screen as shown above.
Hit the 'Add New' button to create your first experiment and set it up.
When you hit the 'Add New' button, you'll be prompted with a window, asking to select what you want to test - one-click upsells or order bumps.
Select 'One Click Upsells' and continue to the next page.
Select the upsell funnel you wish to test from the drop-down in the 'Original Variant' section.
Name your A/B test and put a description (it's optional), and then click on the 'Create Experiment' button.
Once you have your upsell funnel ready, choose the 'B variant' in the test.
Create a duplicate funnel and then make some edits or add a new variant.
Step 1: Click on 'Edit' to enter the upsell offer editing section
When a duplicate funnel gets created, click on the 'Edit' button to modify your upsell.
Step 2- Modify your duplicate test variant offer and save it
You can edit just about everything here - the discount on the item, the product, quantity, page copy, number of offers, sequence, and much more.
After making the changes - save your offer and then press the back button to return to the previous page.
It's now time to split up your visitors. You can do this either by splitting your variants into equal weights by clicking the 'Make Equal-Weight' button or by setting the weight percentage manually.
Once you're done allocating weights to your traffic, hit the 'Update' button.
Finally, hit the 'Start' button to deploy A/B testing for the upsell funnels you've just set up.
Track the performance of your upsell offers by getting to know their overall views, conversion rates, and revenue generated.
We've made the analytics of the test results even more intuitive so that it's easy for you to declare the winner. You can see how your different variants are performing on one single graph interface.
When your experiments are up and running, you can stop it anytime you think you've tested your funnels enough.
And then, you can declare the winner of the test.
When you click on the 'Declare a Winner' button in the 'Analytics' tab, a popup appears like this-
Click on the trophy icon adjacent to the variant you want to declare a winner and then hit the 'Declare winner' button. Confirm your winner in the next popup.
That's it! The other variant will automatically be disqualified and the test will stop- 100% of your on-coming traffic will now go to the winning variant.
A/B testing is a big update for us. And we know you had been waiting for it all this while.
Yes, it took us time but I believe that when you set up your first test and gather data - it'll all be very worth it.
A/B testing module is available in all FunnelKit (formerly WooFunnels) Funnel Builder packs.