Grind scales DTC sales 50x with complete subscription data

Learn how Grind seamlessly integrated their Shopify store with Recharge and Littledata to grow their DTC sales.

Grind Coffee Case Study

From brick-and-mortar to DTC

Grind had 11 stores in the UK before they dived into ecommerce on Shopify. It was not until the COVID lockdown that they moved from strictly brick and mortar to the ecommerce ecosystem.

Before then, only 0.5% of their business was online! After they added subscriptions and built a data stack to inform the launch of new promotion methods, the online business scaled revenue 50x in just a couple of months


Grind Coffee Analytics

The Challenge

Over the years, Grind built an incredible brand through their popular brick-and-mortar stores and newsletters, going beyond coffee to become a part of their customers' lives in a meaningful, authentic way. Everyone in London knows Grind coffee.

After losing their offline business practically overnight, Grind needed to quickly pivot to ecommerce and get an accurate picture of their online customer lifetime value (LTV) for “one-time” and “recurring” orders. They needed to see and report on customer behavior happening on their Shopify store to improve the checkout flow, build ideal customer profiles, retarget customers using dynamic social ads, and make crucial decisions using accurate data.


Littledata Connections Recharge Shopify

The tools that unlocked Grind's growth

"The ability to plug in off-the-shelf services like Recharge to offer our subscription service, then build very strong Shopify store themes, and plug that all together with Google Analytics by Littledata was really the foundation of the entire ecommerce business. We certainly couldn’t have done it without that."

— Ted Robinson, CMO @ Grind


Grind Coffee Subscription

The Solution

Littledata's Recharge connection made it easy to get accurate sales data and marketing attribution across the subscriber journey, including first-time payments, recurring transactions, and subscription lifecycle events. Grind were able to see LTV by channel and—critically—to predict where highvalue subscriber growth was most likely to happen. It all came down to “measuring the difference in LTV for subscribers versus one-time purchasers”.


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