Lifecycle approach can be conducted towards clients or products but here, we will be focusing on clients. It is a tool used in marketing
to improve sells and the branding image.
The concept is quite simple : to analyse the different steps the clients is going through while being regarded as a client. The latter notion
is broad because while talking about "client" we consider consumers, but also consumers-to-be, meaning leads, and former consumers.
The aim of this approach is to improve clients' experience of a brand and therefore attract more consumers and avoid losing them.
To do so, a marketer should take into account two criteria : the client's behaviour towards the brand and what should be done commercially
speaking.
At the end of the day, each client's action should bring about a commercial reaction specially designed to improve the
client experience.
This approach can be automated by coding an app using artificial intelligence. We would need to use Machine Learning and more specifically
in this filed, supervised learning.
It would only required to define measurable criteria corresponding to client's behaviour and to match commercial reactions. For instance,
when the customer buys his third product online, he receives a promotion by e-mail on the next product. It would also required to connect
the code to a database with information about clients and their actions towards the brand.