Shameless plug.. I built ml4all with exactly your thought-process in mind. Although early-stages and many features missing, it's functional. Whatever data you collect, you can quickly stick in in there and see what works. While often that might not be a big surprise, you have now data-validated facts instead of gut-feeling. And sometimes there are surprises.
You ask me to follow along - promised - I will! :)
This is exciting!
Cheers,
Jonas
E.g. - If and when you build your CLV model, ML can help you to have an individual CLV per user. I have an article on CLV and plan to write part two where I explain in detail how ML can help here
It took me some time, but I just published an article on exactly this questions - how machine learning is helpful to improve customer retention: ml4all.com/customer-lifetime-…
I love the idea!
Shameless plug.. I built ml4all with exactly your thought-process in mind. Although early-stages and many features missing, it's functional. Whatever data you collect, you can quickly stick in in there and see what works. While often that might not be a big surprise, you have now data-validated facts instead of gut-feeling. And sometimes there are surprises.
You ask me to follow along - promised - I will! :)
This is exciting!
Cheers,
Jonas
Thanks for sharing. Could you elaborate how you see ML helping in this case?
E.g. - If and when you build your CLV model, ML can help you to have an individual CLV per user. I have an article on CLV and plan to write part two where I explain in detail how ML can help here
I read the article, but still not sure what role machine learning would play haha
It took me some time, but I just published an article on exactly this questions - how machine learning is helpful to improve customer retention: ml4all.com/customer-lifetime-…