📄️ Using Snowplow for marketing data analytics
The first step towards solving a problem is admitting one exists. And I have a lot of problems. As marketing professionals, we all do if we produced a radio commercial and saw more sales in the same month, it must have worked. Technology has changed everything.
📄️ First and last touch attribution with SQL
In order to calculate the return on marketing spend on individual campaigns, digital marketers need to connect revenue events, downstream in a user journey, with marketing touch events, upstream in a user journey. This connection is necessary so that the cost of those associated with the marketing campaign that drove those marketing touches can be connected to profit associated with the conversion events later on.
📄️ Basic tracking design and setup
Let's take an example of collecting data for the filling out of a form there are several data points that we want to make sure we get right and therefore want to be explicit in defining their schema.
📄️ Getting started with Looker
What is Looker, and why use it to analyze / visualize Snowplow data
📄️ Setting up Tableau to analyze your Snowplow data
How to set up Tableau to analyze your Snowplow data
📄️ Setting up R to perform more sophisticated analysis on your Snowplow data
How to set up R for analysis of Snowplow data
📄️ A Guide to Using the Poplin Chrome Extension
At Snowplow we frequently use the Poplin chrome extension to check for event emission on a web page, we also recommend that our clients do the same when in the process of QA’ing their tracking code. This extension is an open source project by Poplin data, one of our partners operating in Australia and New Zealand - the source code for the extension can be found here.