In this post, I’ll show you how to analyse and visualise click paths or “customer journeys” using process mining tools (via the bupaR R package). Including a sample dataset for you to play with.
Conversion Attribution: a Markov model (using Google Analytics and the R ChannelAttribution package)
Hello, analyst! This post is about Conversion Attribution Modeling using Google Analytics (multi channel funnel report data) and the R programming language. Quite a mouthful. It’s a follow-up post on an earlier blog I wrote on multichannel conversion rate. I’m not going to tell you long stories on why you need this. In short: use this script.. If you […]
Multi Channel Funnel Conversion Rate
If you didn’t scratch your head while reading this blog post title, you probably well into Google Analytics. Welcome, web analyst! This blog post will teach you a trick that solves an annoying shortcoming in Google Analytics Multi Channel Funnel reports: How many visits do you get for each multi channel funnel path? How can you […]
Properly Analyze A/B Test results with Advanced Segments
After my last post on GTMtesting.com, I received a couple of questions, mainly dealing with: How can I find out how each variation is performing? For optimizers and analysts, this is something we do on a daily (or at least weekly) basis. For incidental A/B testers, this can be quite a task because it requires […]