We talk about repeat purchases whenever a customer makes another purchase after their first one. It’s the clearest sign that your brand provided them with a good experience and that they trust you.

Repeat purchases don't happen by chance. They depend on the product, the service, the delivery experience, and reaching out to the customer at the right time with something that interests them.

Why does it matter?

For most retail and e-commerce businesses, repeat customers are the ones who drive growth. Each repeat purchase builds on an existing relationship, without having to pay again to attract that customer.

Furthermore, the more often a customer makes a purchase, the more likely they are to continue doing so. That’s why the second purchase is a pivotal moment: it marks the transition from a one-time customer to a repeat customer. Ensuring that your customers always choose you again is, in essence, about fostering repeat business.

Story mode

Lucia buys protein powder from an online sports store. The container lasts her about six weeks. Just before she runs out, she receives a WhatsApp message reminding her of the product and offering her the option to reorder in two steps. Lucia makes another purchase without looking elsewhere.

How to Use It with Data4Sales

• Days until next purchase: Predictive models estimate when each customer is likely to make another purchase.
• Purchase likelihood: You know the probability that each customer will make another purchase, so you can prioritize who to reach out to.
• Repurchase workflows: Automate reminders and recommendations via WhatsApp, email, or SMS, available 24/7.
• Product Affinity: Suggest items that other customers buy together, so their next purchase will be more complete.

Related terms

• Repeat purchase rate
• Second purchase
• Time to reorder
• Repurchase Cycle