SAMPLE USE CASE
Analytics app A serves customers with e-Com stores. 90% of businesses using A are typically built on e-Com platforms B, D and E. A has a thorough understanding of how its product integrates with all three platforms.
A does its job quickly, and identifies where the customer's store is converting sub-optimally. The customer concludes that to solve this problem they need to replace their existing content management system, and they unsubscribe from A as they try to fix the problem.
However, a further complication arises and the customer now concludes that the problem is actually how the content management system integrates with platform B, and that it might be easier to simply switch to a new e-Com platform. As the customer is operating a "no-code" shopfront, the change ends up being time consuming as they search for solutions.
This may result in the customer never returning to A or worse, that they are unable to ever recover sufficiently to trade resulting in them going out of business.
The user is put in an autoresponder sequence based on behavioural criteria which suggests that all is not as it should be. A invites them to an interactive project - created, deployed and maintained by JTEK - on how to learn the correct method of validating, iterating and improving various aspects of their digital shop front in a phased manner.
These interactive projects are designed based on the relevant user personas of the dormant or abandoning customer.