{"id":5258,"date":"2020-05-19T17:39:11","date_gmt":"2020-05-19T21:39:11","guid":{"rendered":"https:\/\/sinalite.com\/printersuccess\/?p=5258"},"modified":"2025-05-28T11:18:48","modified_gmt":"2025-05-28T15:18:48","slug":"how-to-win-back-churned-customers-for-your-print-business","status":"publish","type":"post","link":"https:\/\/sinalite.com\/printersuccess\/how-to-win-back-churned-customers-for-your-print-business\/","title":{"rendered":"How to Win Back Churned Customers for Your Print Business"},"content":{"rendered":"

Nobody likes churn, but it\u2019s an inevitable part of running a business. Churn occurs in every industry and printing is no exception, but churn is not a reason to give up on a client. We\u2019ll be giving you five tips for bringing back churned customers for your print business, because it\u2019s easier getting orders from an existing customer than a new prospect\u2014even if that customer appears to have churned.<\/span><\/p>\n

5 Tips for bringing back churned customers for your print business<\/span><\/h2>\n

1. Identify the right churned customers to target<\/span><\/h3>\n

First, you need to define what a churned customer is. Churned customers are by definition customers who stop using your products or services within a certain time frame. Some people think of them as \u201cex-customers\u201d; however, the way you determine who a churned customer is for your business depends on several factors.<\/span>
\nInstead of just counting the days customers have not ordered, here\u2019s a good formula from <\/span>Optimove<\/span><\/a>.<\/span><\/p>\n

\"how
Source: Optimove<\/a><\/figcaption><\/figure>\n

Time Since Last Activity<\/b> is how many days since your client last placed an order. <\/span>Activity Frequency<\/b> is on average how many days go by before the client places an order. Plug in the numbers to calculate the <\/span>Churn Factor<\/b>. If the Churn Factor is more than 1, it means the client is taking longer than usual. If the number is 3.5, it means they\u2019re taking three times as long as usual to place their next order. They\u2019re more likely to have churned.<\/span>
\nThis formula provides more accurate information for when you want to understand which customers are churning. It uses the customer\u2019s average activity as a benchmark instead of a static benchmark for everybody.<\/span>
\nNext, you need to identify which one of these churned customers is worth bringing back<\/span>
\nLook at their previous history and ask some of the following questions to determine which customers are worth bringing back:<\/span><\/p>\n