Customer Data Platform (CDP) systems are the newest answer to an old question: how to assemble a complete view of each customer. This session explores the reality of what CDPs can and cannot do, how CDPs differ from other systems, the types of CDP systems available, and how to find the right CDP for your purpose, especially with regard to data science projects and predictive modeling. You will come away with a clear understanding of where CDP fits into the larger data management landscape, what distinguishes CDP from older approaches to customer data management, and the state of the CDP industry in Europe.
8. Europe Trails in CDP
81%
75%
71%
58% 58%
38% 36%
67% 65%
59%
32%
41% 43%
39%
email social media insight analytics using a CDP social media
mgt
personalization tracking
analytics
North America/ROW Europe/ROW
9. Europe Trails in Marketing Technology
81%
75%
71%
58% 58%
38% 36%
67% 65%
59%
32%
41% 43%
39%
email social media insight analytics using a CDP social media
mgt
personalization tracking
analytics
North America/ROW Europe/ROW
13. Packaged software that builds a
= not custom project
= faster, lower cost, less risk, more mature
Persistent, unified
customer database that is
= any source, retain full detail, separate data store,
organized by customer
Accessible to other systems.
= easy to share, change systems without disruption
14. Packaged software that builds a
= not custom project
= faster, lower cost, less risk, more mature
Persistent, unified
customer database that is
= any source, full detail, separate data store,
organized by customer
Accessible to other systems.
= easy to share, change systems without disruption
15. ü All sources
ü Full detail
ü Persistent storage
ü Unified profiles
ü Open access
www.realcdp.com
16. ü All sources
ü Full detail
ü Persistent storage
ü Unified profiles
ü Open access
www.realcdp.com
û Real time
û Identity resolution
32. What’s the best
solution?
What do you want to
do? Programs
Use Cases
Strategy Resources
What’s a Use Case?
What’s stopping you
from doing it?
33. What’s the best
solution?
What do you want to
do?
What’s stopping you
from doing it?
Gaps
Programs
Use Cases
Needs
Strategy Resources
What’s a Use Case?
34. What’s the best
solution?
What do you want to
do?
Features
Best choice
Gaps
Programs
Use Cases
Needs
Strategy Resources
What’s a Use Case?
What’s stopping you
from doing it?
35. What’s a Use Case?
• Use Cases fill gaps
• Gaps depend on context
• Context varies so no ‘best’ solution for all
• CDP Use Case = CDP best fills the
gaps
36. Gaps Filled: CDP vs Other Systems
Capabilities CDP-
Data-
Lake-
Data-
WH-
Hub-
-/Tag-
-Mgr-
MAP-
CRM-
Cloud- -DMP-
BoB
Analytic
Packaged- ü ü ü ü ü
All sources ü ü ü
Full detail ü ü ü
Retain indefinitely ü ü ü ü
Unified profiles ü ü
Customer identity ü ü
Open Access ü ü ü ü ü
Predictive models ü ü ü ü
Real time interactions ü ü ü ü
Orchestration ü ü
Delivery ü ü ü
37. = All sources
= Open access
= Full detail
= Retain indefinitely
= Customer identity
= Unified profiles
What’s a CDP Use
Case?
38. What Applications are CDP Use
Cases?
Customer
Profile
Customer
Journey
Lifetime
Value
Predict
Response
Select
Products
Infer
Intent
All sources ü ü Revenue only
ü
Product
related ü
Full detail ü ü ü ü ü
Selected
content
Retain indefinitely Current
values ü ü
Recent
behavior ü
Recent
behavior
Unified profiles ü ü ü ü ü ü
Customer identity ü ü ü ü ü ü
Open access ü
Analytics
only
Analytics
only ü ü ü
39. 25%
27%
29%
39%
40%
40%
49%
49%
59%
86%
Faster response to changing data management needs
Improved message delivery
Less time spent on data management
Improved data analysis and segmentation
Access to otherwise-unavailable data
Less reliance on IT resources
Improved orchestration of customer treatments across channels
Improved message selection and personalization
Improved predictive modeling and recommendations
Create unified customer view
Source: CDP Institute, 2019 Member Survey
What Benefits Do You Expect from a
3 of Top 4 CDP Uses are Analytics
Benefit Type
Data
Decisions
Delivery
40. More CDP Use Cases-
Database Analyze Predict Outbound Real Time Orchestrate
• data quality
• golden record
• lead to account
match
• onboarding
(append external
IDs)
• enrichment
(append external
data)
• less tag mgt
mapping
• GDPR/ compliance
• combine online &
CRM data
• combine browsing
and in-store
purchase data
• combine data
• journey analytics
• behavior analysis
• best customer
profiles
• segment discovery
• segment assignment
• life stage assignment
• KPI reporting
• measure campaign
effectiveness
• channel preference
• identify under-
served segments
• run stream tests
• find high value
customers
• locate field events
based on mapping of
intent and scores
• churn prediction
• unsubscribe
prediction
• value prediction
• best offer selection
• lookalike models
• repurchase
prediction
• append intent data
• prospect selection
• engage time
optimization
• location-based
personalization
• loyalty incentive
selection
• topic interest
prediction
• email list
creation (best
customers per
campaign)
• personalized
message selection
/targeting
• DMP interactions
• social media
audiences
• abandoned cart
campaigns
• reactivation
campaigns
• feature
notifications
• trigger messages
• exclude previous
buyers
• real time
behavioral
profiling
• real time offer
selection
(prepurchase)
• real time
content
recommendation
• cross sell/upsell
(during purchase)
• CSR access to
individual profiles
• retention
campaigns
• pre-emptive
support
(identify
customers who
need help)
• cross-channel
campaigns
51. What’s the best
system?
What do you want to
do?
Features
Best choice
Gaps
Programs
Use Cases
Needs
Strategy Resources
System Selection Process
What’s stopping you
from doing it?
58. Feature Screening for Predictive Analytics
Ingestion: no-code setup, high volume, streaming, API connectors,
find changes, source tracking, consent tracking
Storage: auto-add attributes, dynamic scaling, industry data
model, read external sources, separate stores for structured,
semi-structured, unstructured, real time update
Identity: manage PII, stitching, offline match, cross-device match,
persistent ID, external ID & device graphs, real time ID resolution
Enrichment: clean, standardize, geo-code, auto-code features,
process language, infer intent
59. Feature Screening for Predictive Analytics
Derived variables: complexity, nesting, secure, change history,
change impact
Access: extracts, queries, API connectors, standard analytical
formats, real time access
Administration: governance, security, permissions, on-premise,
anonymize/pseudonymize
Analytics: explore, segment, model methods, self-service, explain
Applications: predicts, recommend, test, attribute, arbitrate best
offer, simulate, optimize
61. • CDP Institute
• Peers
• Analysts
• Reviews
• Phone calls
• Demonstrations
• Scenarios
• Request for
Proposal
• Proof of Concept
• References
Selection
Tools
Screening Assessment Validation
Scenarios:
• Base on YOUR use case detail
• Specify tasks to demonstrate
• Formal score sheet and review
62. • CDP is the only packaged software designed to build and
share a unified customer view
• CDP saves effort by automatically creating data sets for
analytics and campaigns
• CDP lets everyone work from the same information
• CDP is not a magic bullet: it’s work to create and maintain
• In most organizations, CDP adds unique advantages
Remember This