A/B testing.
Discover the best performing versions.
There is no place for guesswork in the optimization process
Measuring is knowing
Every day we take part in some sort of A/B testing. Even when your partner asks if you prefer the red shirt to the blue shirt. Maybe not statistically significant, but hey, we all have to start somewhere. Unknowingly, we’re all participating in A/B testing on the internet as well. For example, when you book a sweet spring break condo on Booking.com you end up in over 500 A/B tests! A/B testing allows you to make data-based decisions when it comes to changes to your website or app.
Need a hand?
Why you need to start
A/B testing ASAP:
- Find out if changes lead to improvement or failure
- Say goodbye to guesswork in conversion rate optimization (CRO)
- Low-risk introduction of new features
- Discover what catches the eye of the visitor and what keeps them around
- Or what makes them lose interest and bounce (user behavior)
Why you need to start
A/B testing ASAP:
- Find out if changes lead to improement or failure
- Say goodbye to guesswork in conversion rate optimization (CRO)
- Low-risk introduction of new features
- Discover what catches the eye of the visitor and what keeps them around
- Or what makes them lose interest and bounce (user behavior)
Here’s what we can do for you!
We can make A/B testing as small or big as you want. From the color of a button or a catchy headline to brand new features. First, we take a look at the current situation. Do we have enough data available and what do we want to measure? We formulate a hypothesis and calculate the amount of traffic that is required to draw valid conclusions and rule out coincidences. We use our software to run the tests. Our software works for pretty much every website or platform! We show version A of a page to 50% of the visitors while the other 50% is presented with version B.
If your version wins, congratulations! You’re one step closer to ultimate success.
Increase your chances at
winning in business.
A/B testing makes all the difference between
profit-making and profit-loss
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