Target customers who order more frequently than average

One way to detect customer loyalty is by the number of orders they place.

Without knowing anything else about them, a customer who placed ten orders is more likely to be more loyal than one who placed five orders.

One of the most difficult tasks in ecommerce is getting a customer to come back and buy again. Identifying customers who are already doing that, using Repeat Customer Insights or the like, is an important first step to retaining their loyalty. Once you know who they are, your job is to get them to come back and buy again.

Done right, loyalty can be a rock rolling downhill. Another order leads to another order which leads to another and another.

You just have to work to get that started.

So find those customers who are ordering more than average and devote your effort to keep them rolling.

Eric Davis

Optimize your promotion timing to save money and attention

Repeat Customer Insights will analyze a ton of customer behavior data for you, including their buying cycles.
If you knew exactly when the majority of your customers were ready to buy again, you can increase your orders and profit just by tweaking your message timing.

Learn more

Topics: Repeat customers Customer loyalty

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