Customer-centric personalization with frequency, store location, favorite products
First of all, we know when was the time the customer was grocery shopping. With the statistics showing individual inter-purchase frequency (some customers shopping 3 times, 2 times, or 1 time per week), Terno can predict the optimal time to remind customers of their empty fridges. This is the main trigger to sending a personalized campaign with the shopping list of customers’ favorite items that they buy almost every time, triggering a thought in the mind of customer to plan a store visit to restock. The campaign also contains upselling product recommendations from the products that customers bought in the past, have good margins, and customers could buy them more often. Thanks to smart technology running behind the scene, Terno is able to serve its customer with relevant communication based on their previous purchases, acting almost like a personal grocery shopper with product recommendations that perfectly align with their specific needs. Thanks to the strategy “Empty Fridge”, Terno achieved an increase in conversion rate to purchase by 27% in comparison with non-personalized weekly campaigns.