Accomplishing Early Prediction Of LTV with RapidMiner

I presented at https://rapidminer.com/wisdom/early-prediction-ltv/ on the work we've done at ezCater to predict LTV/CLV based on the first N days of a customer's data. (Although secret #1 is never ever say LTV or CLV) Anyway, it was my first major ML project and it was really a blast. RapidMiner was great to use and gave me a ton of flexibility to try different approaches easily. It's hard to overstate how much we now rely on these models to run our business.

The slides are now up https://rapidminer.com/wisdom/early-prediction-ltv/ if you want to take a gander.

Estimating LTV

Around the beginning of 2017, we realized that we really needed to understand how to predict our customers LTV.  I hate to be trendy, but the more I looked the more it turned out to be a really good candidate for an ML solution.

With Elements of Statistical Learning  
and the https://www.coursera.org/learn/machine-learning  course under my belt I set off on a journey of self discovery and lots and lots of CSVs & R.

Finally found some time to blog it all up so here it is:
https://engineering.ezcater.com/early-prediction-of-customer-lifetime-value