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Slides from meetup: Snowplow at Seven West Media and Google Cloud Platform
Key points Seven West Media triggers server-side tracking based on Snowplow data received from clientsTracking is made simpler through centralisation and fanning outGoogle Cloud Platform port of Snowplow is now available and ready for productionReal-time data into BigQuery Last night...
Classifying browsers: Which visitors are real people?
Key points Browser classifications in atomic.events are deprecated (there’s now a better way) Use the UA Parser enrichment to classify browsers Use the IAB Bots & Spiders enrichment to find bad bots You’ll still need to look at your own data carefully to remove bots that...
Paper over your mistakes with data models
Mistakes happen. In the data world, your ugly mistakes live on forever. It’s not just the embarrassment that’s a problem though. Gaps and obvious errors in historical data distract your stakeholders from more important matters. Explaining the anomalies and getting...
Quantifying content velocity in Snowplow
Adam Greco is something of a legend in the Adobe Analytics space. I’ve been reading his blog posts and learning from him since I first started using Omniture back in 2007 or so. He literally wrote the book on Omniture and then Adobe...
Modelling your Snowplow event data: Part 5 Automation
In the first four parts of this series, we modelled out: Pageviews: accurate time spent incorporating page pings and maximum scroll depthSessions: traffic sources and initial landing detailsUsers: filtering internal traffic and looking up things we know about the users Now it’s...
Modelling your Snowplow event data: Part 4 Users
In the first three parts of this series, we looked at modelling out pageview events to include accurate time spent and scroll depth, then classifying sessions based on what we know about where the user came from. Now we’re going to look...
Modelling your Snowplow event data: Part 3 Sessions
In the first two parts of this series, we looked at modelling out pageview events to include accurate time spent and scroll depths. Now we’ll roll up sessions. A session or visit to a web site is when a user comes to...
Modelling your Snowplow event data: Part 2 Pageviews
In the first part of this series on data modelling we went through the background for building a data model. In this edition we’ll go through the steps to create a basic pageview model that incorporates page pings so we can see accurate...
Modelling your Snowplow event data: Part 1
One of the important features of Snowplow is that you can build your own custom data models to suit your unique analytical requirements in a space-efficient and performant way. It’s important that your data model can evolve and grow in...
