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Various tests were run successfully while I worked with SleepEasy including:
And finally, I decided to test some messaging around Klarna and its introduction to the product page. 2 variants were chosen, a more default option which read 'Buy Now, Pay Later' and a company mission-focused message 'Sleep Now, Pay Later.'
The mission-focused variant beat the control by just 2.7%, but the generic Klarna version actually performed 7% WORSE than the control.
So a slight improvement was achieved, but the company avoided a 7% drop that would have occurred if they'd followed 'best practise' and simply added Klarna to the page in its generic form.
SleepEasy wanted to improve the conversion rate of its website, and the average order value, in order to offset high acquisition costs and low average order values.
As the product claims to help with some health issues such as neck pain, shoulder pain, and insomnia, the challenge was to improve conversion rates by convincing site visitors that this genuinely was a great product that would help them as it had done for thousands of others, without overstating claims and making the product seem too good to be true.
My process starts with research:
This feeds into a testing pipeline (and prioritisation process), as well as identifying areas for quick wins, such as bugs on certain browsers that are fixable and don't need testing.
Then we move into an ongoing Testing & Iteration phase.
This involves working alongside designers & developers to design the tests, QA them to ensure they work properly and don't have any unintended negative impact on the website and set the test live.
Once the test has hit statistical significance with a minimum number of site visitors, the test is ended and either rolled out at 100% until the development agency can build the feature, or ended as a Losing test.
While other tests are then being put live, the results are analysed to identify areas for further improvement, or to gain insight into why a test failed.
Various tests were run successfully while I worked with SleepEasy including:
And finally, I decided to test some messaging around Klarna and its introduction to the product page. 2 variants were chosen, a more default option which read 'Buy Now, Pay Later' and a company mission-focused message 'Sleep Now, Pay Later.'
The mission-focused variant beat the control by just 2.7%, but the generic Klarna version actually performed 7% WORSE than the control.
So a slight improvement was achieved, but the company avoided a 7% drop that would have occurred if they'd followed 'best practise' and simply added Klarna to the page in its generic form.
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This client had more than 20 facilities for treating addiction. They were spending hundreds of thousands of dollars on Google ads in order to drive phone calls, but they had no call tracking and hadn't done any conversion optimization. We created microsites in order to narrowly target their advertising both geographically, as well as by substance (eg alcohol, opiates, benzos, etc). We set up call tracking and started A/B testing. We had a multitude of wins, losses, and iterations to the websites based on our work. But I'm proud to have skyrocketed their revenue with 3 separate A/B tests that EACH increased the conversion rate on their primary goal of a phone call by more than 100% (99% statistically significant).
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