Research shows that the average consumer in the US owns 3.64 connected devices. Yet, we as marketers, are still stuck tracking browsers, not real people.
At this month's Wine & Web, Chris Madden from Matchnode, will be teaching us how to use cross-device tracking to make better marketing decisions. We'll discuss:
Different cross-device tracking platforms and how they work
Why you need to track across multiple devices
How to begin
Why it's not as creepy as you might think
You'll leave with actionable first steps and a list of resources, platforms and tools to help you along the way.
20240510 QFM016 Irresponsible AI Reading List April 2024.pdf
Advanced Analytics: How to track and analyze visitors across multiple devices
1. WINE & WEB #66
HOW TO TRACK & ANALYZE
VISITORS ACROSS
MULTIPLE DEVICES
@matchnode @maddencm
2. @matchnodeWHAT’S TO COME – CONTENTS
1. WHY?
2. SOME TOOLS & PLATFORMS
3. THREE TYPES OF CROSS DEVICE TRACKING
4. KEY REPORTS
5. EXAMPLES
7. THE FUTURE
6. IS THIS CREEPY?
8. ACTIONABLE TAKEAWAYS
7. @matchnode3 TYPES OF CROSS-DEVICE TRACKING
1. Owning an eco-system (a “walled garden”)
2. Having visitors log in (“deterministic”)
3. Fingerprinting (“probabilistic”)
8. @matchnode1. WALLED GARDEN
+ large install / visitor base
+ used across multiple devices
+ analytics
+ ad platform
19. @matchnode3 TYPES OF CROSS-DEVICE TRACKING
1. Owning an eco-system (a “walled garden”)
2. Having visitors log in (“deterministic”)
3. Fingerprinting (“probabilistic”)
22. @matchnodeCOHORT REPORTS DEFINED
“a cohort is a group of people who share
a common characteristic or experience
within a defined period of time…
…analysis allows you to track groups of
people over long periods of time…
…track their activity apart from other
groups.” Source: KISSmetrics
35. @matchnodeFTC’s COMMENTS
Source
“cross-device tracking facilitates seamless
experiences, helps to prevent fraud & more
effectively target ads, can increase
competition in advertising. However, often
takes place without consumers’
knowledge. limited choices to control such
tracking, and result in caches of more
sensitive data that need to be protected”
36. @matchnodeFUTURE IMPLICATIONS
Rearview mirror to predictive
End of privacy concerns
BUT own your data
Evolved enterprises
Source: https://michaelhaupt.com/the-future-of-marketing-and-advertising-e52663f63104#.drezur9n6
37. @matchnodeACTIONABLE TAKEAWAYS
1. Adopt a multi-device POV
2. Use Facebook ads as a testing ground
3. Start with identifying across sessions (small biz?
tend.io)
4. Advanced: try Mixpanel or KISSmetrics
38. @matchnodeRESOURCES
--ArsTechnica: Online Fingerprinting: link
--Limits to GA’s User ID Views: link
--Matchnode Analytics Podcast: link
--KISSmetrics blog: link
--Cardinal Path: 3 Types of Cross Device Tracking: link
--Data Does Good: link
--Foursqaure as Google Analytics for Physical World: link