Happy Eyes is the online partner for contact lens subscriptions. Customers can receive their contact lenses at home every month for a competitive price. This includes an annual eye check free of cost at an optician of their choice. However, they were struggling to find the right target audience online and were losing money due to their online funnel setup. They noticed that a lot of customers churned after just one month. Happy Eyes fully trusted the expertise of Marveltest to bring their company to the next level.

We put our efforts into finding the right target audience for eye lens subscriptions online, which required a niche strategy. In order to find the right marketing communication strategy for the different needs of the audience, we tested multiple propositions to attract the right audience that would not churn. As a result, we were able to lower their churn rate from 79% in January to 1.76% in December. Additionally, we increased the number of active subscriptions from 89 to 227.

Overall, Marveltest helped Happy Eyes find the right target audience and marketing communication strategy, resulting in significant improvements in their customer retention and active subscriptions.

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In 2020 Eichholtz entered the United States with their own Headquarters. Due to this market entry Marveltest was invited to set out the full market entry strategy in the USA for Eichholtz. By running different strategies based on Lead generation, Brand Awareness and Event campaigns Eichholtz USA already doubled twice in revenue in two years and have an outstanding leads gathered of 2556!

BlueM, one of the first real experts in the oral healthcare that is creating a brand, a feeling, something that you want to be part of! Besides their clinically proven products they are planet proof, cruelty free and hope to share a side of oral healthcare you never experienced. With this innovative story Marveltest and BlueM quickly found each other! To map out customers of BlueM in detail, we started with the Marvelfoundation directly. This foundation resulted into data that allowed BlueM to validate assumptions rapidly. After this, decisions and changes could be made, even on the design!