2. Digital event data is rich,
behavioural data
• Becomes more interesting as
we do more through digital
channels
3. Packaged solutions (GA and Adobe) do a poor job of
enabling us to do everything we want with digital event data
• One size fits all (and that size has been built for online retailers and
publishers)
• data schemas (page views, transactions, conversions, shares)
• data processing (sessionization)
• UI / visualisations / reporting
• APIs
• Silo’d: hard to join with other data
• Limited sources of data (web and mobile)
• Slow. Cannot act on the data as it is coming in
4. Let’s take a fresh approach
1. Start with your own data pipeline
5. 2. Define your own event
types
3. Track events across all the different channels
that matter to you
6. 4. Answer any question!
• All your digital event data in your own data
warehouse
• Join your data to any other data set
• You pick the processing logic
• Plug in any analytics tool to mine, visualise and
socialise data across your organisation
8. 5. Evolve your analytics with
your business
• As your business questions evolve
• As your business (and products) evolve
9. 6. Act on your data in real-
time
• Optimize content / products surfaced
• Real-time optimisation of ad bidding / buying
• Intervene in user journeys e.g. with targeted offers
10. And…
• Snowplow is open source
• Free
• You own your data
• You own the intelligence on that data
• Scalable
• Lots of users tracking 100M events per day +
11. Find out more!
Talk to me!
Demo room
Bar
Rest of DA Hub
yali@snowplowanalytics.com
Talk to our users!
London Meetup next week
Tel-Aviv meetup July
Other meetups in Berlin, Amsterdam,
Copenhagen, Budapest,
New York, San Francisco,
Boston
