Shanon Chan, Digital Optimisation & Analytics Manager, Aussie
Have you ever wanted Google Analytics’ “User Explorer” data in a aggregated flat table? This type of data is useful for answering questions like “What content do users view before conversion vs after conversion?” and “How many sessions do users of different segments spend on site before conversion?” to help provide the insights to power personalisation. Come along to see the analysis and some of the code used to pull the data that you can use yourself.
Location and structure of the data in the cloud doesn't matter. Or does it?
Vojtech Kurka, Solution Architect, Keboola
Offline is the new online
James Fogelberg, Founder, LANDMARKS ID