
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.
CRO
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This was a spiritual store with both a brick-and-mortar store (in Georgia) as well as an online store. Additionally, the client had a subscription box. The client wished to increase subscriptions to her monthly box as well as increase sales.
When we met the client, the lifetime value for the subscription box was low. It was underpriced and many people canceled after a month or 2. We worked to help increase the price and improve lifetime value with higher quality traffic.
The website was also confusing and disorganized. We helped to make the website organized and more user-friendly.
Last, we created a full-funnel to attract a cold audience and warm it up. Towards the end of our time with this client, we were able to convince them to trial a weekly sale (on Mondays) to improve average order value.
I started this account from day 1 before the restaurant opened it's doors in 2016. We built up momentum and were maxed out of tables from day 1. It's been a wild ride with expanding into a new space, adding in a pizza oven for authentic Napolateon pizza, adding in catering options, and now onto opening second location just for private events and catering!
Kings of Diamonds is a busy and successful ecommerce diamond merchants in Hatton Garden, London. KOD had been running Paid search across GoogleAds and Google Shopping for over six months before reaching out to Delta Marketing.
The paid search campaigns were delivering a positive ROAS but results fluctuated by month and were too unpredictable to enable the business to plan customer numbers and work loads
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