Have you ever wondered what would happen if you stopped all your onsite messages? How do you know what type of campaign works best for your audience? You can now find it out – and much more – with OptiMonk Experiments.
Hey, I'm Kate and I'm thrilled to show you around OptiMonk Experiments – a place to run controlled campaign A/B tests so that you can scale your campaigns with peace of mind, knowing what works best.
With OptiMonk Experiments, you can test any hypothesis that might come to your mind.
Perhaps you're wondering which visitor segment provides the best performance: visitors from the US or visitors from Canada.
You may want to test if it's better to use a popup or a sidemessage.
Or your visitors prefer gamification popups to standard list building forms.
You might want to test different offers against each other: such as a smaller – let's say – 5% discount against a 10% discount offer, or whether you need a discount at all, or a lead magnet – such as a free ebook – might do the job for you.
It's critical to test these assumptions so that you can be absolutely sure that you're using the most effective tactics and maximizing results.
To do that, you need a simple tool that allows you to run controlled experiments with your campaigns. Experiments like these, however, can easily get quite complicated and usually they require some tech skills to set them up. But not with OptiMonk!
We wanted to empower all marketers to run tests with a tech startup's agility so we have made it incredibly simple.
You can add any existing campaign to a new experiment. Decide how you want to share your website traffic among the campaigns to be tested. Then run the experiment and wait for the results. It's easy as that.
Happy experimenting!
