Correxiko is a multi-award-winning doctor-formulated British beauty and well-being brand. Founded in the UK in 2013 by Dr. Dinuk Dissanayake and his researcher wife, Correxiko aims to help alleviate the discomforts associated with ageing.
It specialises in marine collagen. Beyond the finest quality ethically sourced collagen, Correxiko offers collagen capsules, scientifically formulated nutritional supplements, and a team of health experts to help you look and feel great.
Correxiko's mission is to create the most effective, science based supplements and help people around the globe experience the many great benefits of collagen and nutritional supplementation.
One of Correxiko's core focuses was to encourage more customers to come back after their first order, as repeat revenue was a core metric for the business to scale. However, predicting when those customers were best targeted to come back was tricky. The Correxiko team knew there was a big opportunity here as their nutritional supplements range expanded. Even a small increase in repeat customers and orders could positively increase repeat revenue.
Prior to Relo, Correxiko had a standard Klaviyo Replenishment flow in place. However, this didn’t really help solve the issues mentioned above in regards to predicting the best time to target customers and making the journey easy. The flow itself targeted customers on a blanket timeframe without any consumption and buying insights, which didn’t necessarily relate to the specific product usage of customers that could vary greatly.
In addition, once customers clicked through on the CTA, they were taken back to the normal customer journey from the product page through the cart page and to a new checkout. Both of these items together meant that Correxiko had a lot of revenue left on the table to use and enable more of its customers to come back.
Dinuk Dissanayake, Correxiko, Co-founder, commenting on the problems faced prior to Relo.
Correxiko used Relo’s unique predictive reordering functionality to target customers through their usual Klaviyo flows at the right time based on their order history. For example, depending on which product was purchased, when, and a customer’s history with Correxiko, the customer would receive completely different communication via a personalised experience. So, how does this work?
Correxiko synced Relo to their Shopify to automatically generate predictions for when their customers would likely need to replenish their products. These predictions are built on a per-customer basis, taking into account the product each customer ordered previously, the number of product orders, the number of orders they’ve had previously, and any other related factors:
Relo then automatically synced those predictions straight to Correxiko’s Klaviyo dashboard, immediately making them actionable and driving revenue straight away:
Dinuk Dissanayake, Correxiko, Co-founder.
Here’s an example of a Correxiko email with a specific customer prediction linked to the trigger above. Each product offering is customised to each customer, as shown on the right-hand side of the Klaviyo preview. In this instance, Relo predicted that based on Janice’s previous order history, it was time for her to restock the “marine collagen capsules.”
Dinuk Dissanayake, Correxiko, Co-founder.
Lastly, Correxiko added Relo’s unique Magic Cart Feature to reduce all the friction customers experience when purchasing. Magic Cart is a hyper-optimised mobile-first landing page personalised to each customer. Magic cart is
Here's Correxico's email agency, Underground eCom, commenting on working with Relo on this project:
Ignacio Fernández, Client Manager, Underground Ecom
With these changes, Correxico significantly increased its repeat revenue and Klaviyo efficiency. It achieved a 17x ROI, and its replenishment flow became its top-performing Klaviyo flow.
