Snowplow AnalyticsReinvent digital analytics

Digital event data is rich, behavioural data

• Becomes more interesting as we do more through digital channels

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

Let’s take a fresh approach

1. Start with your own data pipeline

2. Define your own event types

3. Track events across all the different channels that matter to you

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

What questions? What answers? What analyses?

Machine learning2-sided marketplaces

5. Evolve your analytics with your business

• As your business questions evolve

• As your business (and products) evolve

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

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 +

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