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The Inconvenient Truth About Data Science

I published this first on LinkedIn and received very positive feedback. If you like it too, go to the original post here and click on thumbs up or share on Twitter. Thanks! Data is never clean. You will spend most of your time cleaning and preparing data. 95% of tasks do not require deep learning. […]

RFM Segmentation - Introduction Slides

RFM Segmentation – Introduction Slides

RFM Segmentation from Kamil Bartocha RFM Segmentation is the easiest and most frequently used form of database segmentation. It is based on three key metrics: Recency, Frequency and Monetary Value of customer activity. RFM is often used with transactional history in e-commerce, but can also work for Social Media interactions, online gaming or discussion boards. […]

Customer Lifetime Value for Subscription Products

Customer Lifetime Value for Subscription Products

Estimating Customer Lifetime Value allows you to say how much you can spend on customer acquisition and retention. This is especially important for subscription-based products like games, online services, information marketing, loyalty programes etc. In this article we will use a classical approach to estimate CLV with a simple equation and customer cohort analysis. There are more […]

Linear Regression vs Logistic Regression vs Poisson Regression

Linear Regression vs Logistic Regression vs Poisson Regression

Generalized Linear Models (GLMs) extend the ordinary Linear Regression and allow the response variable y to have an error distribution other than the normal distribution. GLMs are great because: They are easy to understand. Most statistical packages contain functions to fit and interpret the resulting model. Linear regression or logistic regression is sufficient for a lot […]