"It sounds like you're trying to create a customer health score using basic data like support tickets and last transaction dates, which is a great start! These metrics can give a clear picture of customer engagement without needing complex integrations. Much like how Starbucks tracks customer preferences and visits to improve their experience, you can use similar data to keep customers happy and loyal. Simple, yet effective methods like these can help build strong customer relationships, just like Starbucks does with its personalized service.
@Mike_Eastwood Hi Mike, I know this is an old post and I am trying my luck. Are you still open to sharing ideas? This is our current project to get better visibility into customer health.
Hello Mike, Taking a chance with an old post, but are you still around to show me what you did? I've been hitting my head on the wall for too long now. My email is charles@v2cloud.com and I can be booked here: https://calendly.com/charles-363/60min
This is a good question. The usage of interactions, number of tickets, etc. is really difficult to gauge customer happiness on because there is no context and it is very subjective. You could build a report and scoring model from this, but it may not give you accurate scores. The best way to get accurate scores in my opinion is through NPS surveys/scores, customer happiness surveys, or a more objective point modeling system.