This document summarizes a presentation on cross-device targeting challenges and near-term possibilities. It outlines the current state of cross-device targeting, obstacles hindering it, and two main approaches to device identification used today - deterministic and probabilistic. The near-term future will see greater standardization of identification approaches and discussions on a universal identifier to replace cookies while balancing privacy concerns. True cross-device targeting requires solving identity across fragmented devices, but full solutions are unlikely in 2015 due to outstanding questions on universal identifiers and data privacy.
37. 37
environment
variables
IP address
Country of origin
Time zone
Device type
Operating system
Browser type
Screen resolution
site behavior
variables
Customer /
Prospect
New/return visitor
Previous visit
patterns
Previous Product
interests – top level
Previous Product
interests – low level
Searches
Previous online
purchases
Previous Campaign
exposure
Previous Campaign
responses
offline variables
CRM
Call center
Ticket sales
3rd-party data
temporal
variables
Time of day
Day of week
Recency
Frequency
referrer
variables
Referring domain
Campaign ID
Affiliate
PPC
Natural search
Direct/bookmark
Social graph/login
38. 38
Personalize in real-time
through automated decisions.
Test content & optimize
offers against revenue goals.
Target visitors across devices
leveraging combination of data
& marketer insights.
ADOBE® TARGET—Test, target & personalize for greater revenue impact.
Optimize critical interactions for stronger engagement, higher conversion rates.