So… depending on the type of business your in, meaning, B2B or B2C, different algorithms will be used. B2B is the most easy part as the most variables are fixed. Variables such as CAC, Pricing of your product and thus Churn & CLTV. For B2C, that’s a whole different ball game. There are so many variables in B2C, especially e-com, which happens to be the most communicated AI related business opportunities. But… there the hardest to solve too. No one talks about that, don’t they? :)
Shit is fucked up out there.
B2C data is more complex, more personal and more single customer and product type driven than B2B. Every product, every category, every price, every size, every colour, every channel, every client, etc. is different. And, than on top of that, you have the behavioural data of Google Analytics.
If you need any help figuring out what to do with B2C, hit me up by hitting the reply button. That’s it. I think I can help you to get to those first steps & come-up with a first case and improvement.