Every time a customer leaves the program is a great opportunity to learn what happened. Churn Management objective is to reduce the Churn rate. It consists of 4 key points:
- Understand who are the Customers who leave
- Identify Customers most at risk to leave
- Identify among these customers who are the ones we want to keep based on the value they bring
- Setup strategies to keep them
The critical point here is of course to precisely define what we call a "Customer who leaves". Most of the time, this definition is based on the shopping frequency and last purchase date.
Imagine that a Customer X has been shopping every 2 weeks for the last year. We can then define the churn at [Shopping Frequency duration] X [n shopping cycles]. if n=3, it means that the customer will be concerned "lost" 6 weeks after her last purchase date.
💡Understanding why Customer leave
There are at least 2 methods you can use to understand the reasons why a loyal customer stops to patronize your shops.
The first method is of course to have 1 on 1 interaction with shoppers. A pre-build questionnaire with enough open-ended questions, so customers can freely explain their situation, will definitely help.
The second method is data driven:
a study of shopping history can explain what are the categories that created the decision to leave: identify the categories where spending decreased regularly and then investigate the category: is there any products we stopped they used to buy? Are we missing critical products or innovation? Have our prices regularly increased? Did we maintain sufficient and attractive promotions? Are we facing a long-term availability challenge?
Reviewing lost customers monthly is a good idea
The best solution is to define a playbook for lost customers and automating it. Each step of the playbook is triggered by a recency-based alert (x days after last shopping for the first alert, then x days after the first, then second message).
At each step, a message and associated mechanics is sent, automatically recorded as a campaign. If the contacted customers shop again, the playbook stops.
A specific budget must be planned and allocated, as part of Customers retention.
In message doesn't necessarily need to focus on monetary incentives. Emotional connection also plays a big role in loyalty. Messages can also invite for a personal connection and feed-back. For example, "Dear Jack, we noticed you did not visit our shops for the last 6 weeks. It is not like you. We would love to hear your feedback and suggestions on how we can service you better"
Each lost customer campaigns can be then further analyzed in Campaign Analytics to measure its effectiveness and progressively improve them.
🖥️ Make it happen in Ulys CRM
How to access Churn Rate in Ulys:2 Simple Steps
Step 1: Select Buying Pattern under the Behaviors Menu in the Menu Bar.
Step 2: Select the Option in the Filter Menu and select the frequency and period you want to measure.
And here it is. The Churn customer will appear in the Loyal Customer Composition widget.
You can also extract the List of Customers who are identified in each segment of Loyal Customer Composition from the Table icon. This Customers list can then be immediately used in a Campaign
• Churn Rate
• Campaign Analytics
• RFM Analysis