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Behind the Buzzword:
Customer Data Platforms
David M. Raab, CDP Institute
Understanding
in the light of
Predictive Analytics
3200 BCE
3200 BCE 2013 CE
2010 2013 2016 2019
Interest in CDP
(Google Trends)
2010 2013 2016 2019
Interest in CDP
(Google Trends)
2010 2013 2016 2019
Interest in CDP
(Google Trends)
2010 2013 2016 2019
Interest in CDP
(Google Trends) DMP
CDP
CDP Industry Today
•100+ vendors
•€1 billion revenue
•€3 billion investment
•50% annual growth rate
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
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
What’s in it for me?
What’s in it for
predictive analytics?
What’s a CDP?
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
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
ü All sources
ü Full detail
ü Persistent storage
ü Unified profiles
ü Open access
www.realcdp.com
ü All sources
ü Full detail
ü Persistent storage
ü Unified profiles
ü Open access
www.realcdp.com
û Real time
û Identity resolution
Orders
Billing
Service
CRM
Website
Email
Web
Mobile
Phone
Offline
Operations Delivery
Orders
Billing
Service
CRM
Website
CDP
Email
Web
Mobile
Phone
Offline
Operations Data Delivery
Orders
Billing
Service
CRM
Website
CDP
Email
Web
Mobile
Phone
Offline
Operations Data Delivery
Ingest
Standardize
Transform
Identify
Unify
Reformat
Expose
Segment
Why It Works
Prebuilt components
‘Big data’ technology
Designed to do one thing well
Vendors are specialists
CDP-
Data-
-Lake-
-Data-
-WH
Hub-
-/Tag-
-Mgr-
-MAP-
-CRM-
Cloud- -DMP-
Packaged ü ü ü ü
Persistent ü ü ü ü
Unified ü ü ü ü
Customer View ü ü
Accessible ü ü ü ü ü
How It Differs
Every system is optimized
Only CDP is optimized for
for its purpose.
unified, complete, sharable
customer data.
Types of CDPs
Orders
Billing
Service
CRM
Website
CDP
Email
Web
Mobile
Phone
Offline
Operations Data Delivery
Ingest
Standardize
Transform
Identify
Unify
Reformat
Expose
Segment
Orders
Billing
Service
CRM
Website
CDP
Load
Unify
Share
Email
Web
Mobile
Phone
Offline
Target
Channel
Content
Operations Data Analytics Campaign Delivery
Report
Predict
Measure
Orders
Billing
Service
CRM
Website
CDP
Load
Unify
Share
Email
Web
Mobile
Phone
Offline
Target
Channel
Content
Operations Data Analytics Campaign Delivery
Report
Predict
Measure
Data CDP
ß Analytics CDP à
ß Campaign CDP à
Orders
Billing
Service
CRM
Website
CDP
Load
Unify
Share
Email
Web
Mobile
Phone
Offline
Target
Channel
Content
Operations Data Analytics Campaign Delivery
Report
Predict
Measure
Data CDP
ß Analytics CDP à
ß Campaign CDP à
ß Delivery CDP à
ß Operational CDP à
Orders
Billing
Service
CRM
Website
CDP
Load
Unify
Share
Email
Web
Mobile
Phone
Offline
Target
Channel
Content
Operations Data Analytics Campaign Delivery
Report
Predict
Measure
Data CDP
ß Analytics CDP à
ß Campaign CDP à
CDP Inside ß Delivery CDP à
CDP Inside ß Operational CDP à
What’s in it for me?
CDP Use Cases
What’s the best
solution?
What do you want to
do?
What’s a Use Case?
What’s stopping you
from doing it?
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?
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?
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?
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
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
= All sources
= Open access
= Full detail
= Retain indefinitely
= Customer identity
= Unified profiles
What’s a CDP Use
Case?
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
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
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
What’s NOT a CDP Use Case?
DMP,
CRM,
CMS
What’s NOT a CDP Use Case?
(They synch)
Data
Lake
What’s NOT a CDP Use Case?
(Lakes feed
CDPs)
Data
Science
Toolkit
What’s NOT a CDP Use Case?
(Some CDPs
do)
IT
Toolkit
What’s NOT a CDP Use Case?
(Replaces
custom dev)
Master
Data
Mgmt
What’s NOT a CDP Use Case?
(Customer
data only)
Work
outside
IT
What’s NOT a CDP Use Case?
(Reduces IT
workload)
Marketing
suite
What’s NOT a CDP Use Case?
(May be
‘CDP
Inside’)
Marketers
only
What’s NOT a CDP Use Case?
(Uses
across
company)
Finding the Right CDP
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?
Vendor
Screening
Features
• Use cases
• Needs
• Scenarios
Type-
• Data
• Analytics
• Campaign
Clients-
• Region
• Size
• Industry
CDPs by Type (partial lists)
Data
• ARM Treasure Data, Celebrus, CommandersAct, Ensighten, Hull.io, Integral-Core,
Meiro, mParticle, Reltio, Segment, Tealium, Teavaro, Ysance…
Analytics
• ActionIQ, Allsight, Amperity, Audiens, BlueShift, Eulerian, IntentHQ, Knowesis,
Leadspace, Lexer, NGDATA, Radius, Rekener, Simon Data, Zylotech…
Campaign
• Advalo, Agilone, BlueConic , BlueVenn, Boxever, CleverTap, CrossEngage,
Custobar, Datatrics, Evergage, Exponea, FirstHive, Flytxt, IgnitionOne,
Jahia/Unomi, Lattice Engines, Lemnisk/Vizury, Lytics, Manthan, Mediarithmics,
NextUser, OpenJaw, Optimove, Piwik Pro, RedPoint Global, Scal-e,
WhiteRabbitSuite…
CDP by Client Regions (partial lists)-
Global
• ARM Treasure Data, Boxever, Evergage, Manthan, mParticle, NG Data, Optimove,
RedPoint, Segment, SessionM, Tealium
Americas
• BlueConic, BlueVenn, Bridg, Exponea, IgnitionOne, LeadSpace, Lattice Engines,
Lytics, Lexer, Pearl …
Europe/Africa
• BlueConic, BlueVenn, CrossEngage, Exponea, IgnitionOne, Lytics, Lemnisk,
Mediarithmics, Nominow
Asia/Pacific
• Integral-Core, Knowesis, Lemnisk, Lexer, Merio, n3
CDP by Client Spend (partial lists)-
Small business (<$5,000/month CDP spend)
• Exponea, Pearl, Nominow, White Rabbit
Mid-size: ($5,000-$25,000/month CDP spend)
• Arm Treasure Data, BlueConic, BlueVenn, CrossEngage, Exponea, Integral-Core,
Knowesis, LeadSpace, Lemnisk, Manthan, , n3, NGData, Optimove, Segment,
Tealium
Enterprise: (>$25,000/month CDP spend)
• BlueVenn, Boxever, Bridg, Evergage, IgnitionOne, LeadSpace, Lemnisk, Manthan,
mParticle, n3, NGData, Segment, SessionM, Tealium
CDP by Client Industries (partial lists)-
B2B/Tech: CrossEngage, Evergage, LeadSpace, Manthan, Radius, Segment, Tealium
Retail: AgilOne, BlueConic, BlueVenn, CrossEngage, Evergage, Exponea, IgnitionOne,
Manthan, mParticle, Nominow, Optimove, Pearl, Segment, SessionM, Tealium,
White Rabbit
Media/Publishing: BlueConic, BlueVenn, Integral-Core, mParticle, Segment,
Tealium, White Rabbit
Financial: Clevertap, Lemnisk, Netcore, NGData, Tealium, n3
Travel: Boxever, Bridg, CrossEngage, mParticle, OpenJaw, Optimove, SessionM
Telecom: Flytxt, IntentHQ, Myntelligence, Knowesis
Healthcare: HealthGrades, SymphonyRM
Needed
Features
Unusual
Features
Screen
Here
Feature Screening-
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
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
• CDP Institute
• Peers
• Analysts
• Reviews
• Phone calls
• Demonstrations
• Scenarios
• Request for
Proposal
• Proof of Concept
• References
Selection
Tools
Screening Assessment Validation
• 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
• 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
Thank You!
www.cdpinstitute.org

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Behind the Buzzword: Understanding Customer Data Platforms in the Light of Predictive Analytics - David Raab

  • 1. Behind the Buzzword: Customer Data Platforms David M. Raab, CDP Institute Understanding in the light of Predictive Analytics
  • 4. 2010 2013 2016 2019 Interest in CDP (Google Trends)
  • 5. 2010 2013 2016 2019 Interest in CDP (Google Trends)
  • 6. 2010 2013 2016 2019 Interest in CDP (Google Trends) 2010 2013 2016 2019 Interest in CDP (Google Trends) DMP CDP
  • 7. CDP Industry Today •100+ vendors •€1 billion revenue •€3 billion investment •50% annual growth rate
  • 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
  • 10. What’s in it for me?
  • 11. What’s in it for predictive analytics?
  • 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
  • 20. Why It Works Prebuilt components ‘Big data’ technology Designed to do one thing well Vendors are specialists
  • 21. CDP- Data- -Lake- -Data- -WH Hub- -/Tag- -Mgr- -MAP- -CRM- Cloud- -DMP- Packaged ü ü ü ü Persistent ü ü ü ü Unified ü ü ü ü Customer View ü ü Accessible ü ü ü ü ü How It Differs
  • 22. Every system is optimized Only CDP is optimized for for its purpose. unified, complete, sharable customer data.
  • 26. Orders Billing Service CRM Website CDP Load Unify Share Email Web Mobile Phone Offline Target Channel Content Operations Data Analytics Campaign Delivery Report Predict Measure Data CDP ß Analytics CDP à ß Campaign CDP à
  • 27. Orders Billing Service CRM Website CDP Load Unify Share Email Web Mobile Phone Offline Target Channel Content Operations Data Analytics Campaign Delivery Report Predict Measure Data CDP ß Analytics CDP à ß Campaign CDP à ß Delivery CDP à ß Operational CDP à
  • 28. Orders Billing Service CRM Website CDP Load Unify Share Email Web Mobile Phone Offline Target Channel Content Operations Data Analytics Campaign Delivery Report Predict Measure Data CDP ß Analytics CDP à ß Campaign CDP à CDP Inside ß Delivery CDP à CDP Inside ß Operational CDP à
  • 29. What’s in it for me?
  • 31. What’s the best solution? What do you want to do? What’s a Use Case? What’s stopping you from doing it?
  • 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
  • 41. What’s NOT a CDP Use Case?
  • 42. DMP, CRM, CMS What’s NOT a CDP Use Case? (They synch)
  • 43. Data Lake What’s NOT a CDP Use Case? (Lakes feed CDPs)
  • 44. Data Science Toolkit What’s NOT a CDP Use Case? (Some CDPs do)
  • 45. IT Toolkit What’s NOT a CDP Use Case? (Replaces custom dev)
  • 46. Master Data Mgmt What’s NOT a CDP Use Case? (Customer data only)
  • 47. Work outside IT What’s NOT a CDP Use Case? (Reduces IT workload)
  • 48. Marketing suite What’s NOT a CDP Use Case? (May be ‘CDP Inside’)
  • 49. Marketers only What’s NOT a CDP Use Case? (Uses across company)
  • 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?
  • 52. Vendor Screening Features • Use cases • Needs • Scenarios Type- • Data • Analytics • Campaign Clients- • Region • Size • Industry
  • 53. CDPs by Type (partial lists) Data • ARM Treasure Data, Celebrus, CommandersAct, Ensighten, Hull.io, Integral-Core, Meiro, mParticle, Reltio, Segment, Tealium, Teavaro, Ysance… Analytics • ActionIQ, Allsight, Amperity, Audiens, BlueShift, Eulerian, IntentHQ, Knowesis, Leadspace, Lexer, NGDATA, Radius, Rekener, Simon Data, Zylotech… Campaign • Advalo, Agilone, BlueConic , BlueVenn, Boxever, CleverTap, CrossEngage, Custobar, Datatrics, Evergage, Exponea, FirstHive, Flytxt, IgnitionOne, Jahia/Unomi, Lattice Engines, Lemnisk/Vizury, Lytics, Manthan, Mediarithmics, NextUser, OpenJaw, Optimove, Piwik Pro, RedPoint Global, Scal-e, WhiteRabbitSuite…
  • 54. CDP by Client Regions (partial lists)- Global • ARM Treasure Data, Boxever, Evergage, Manthan, mParticle, NG Data, Optimove, RedPoint, Segment, SessionM, Tealium Americas • BlueConic, BlueVenn, Bridg, Exponea, IgnitionOne, LeadSpace, Lattice Engines, Lytics, Lexer, Pearl … Europe/Africa • BlueConic, BlueVenn, CrossEngage, Exponea, IgnitionOne, Lytics, Lemnisk, Mediarithmics, Nominow Asia/Pacific • Integral-Core, Knowesis, Lemnisk, Lexer, Merio, n3
  • 55. CDP by Client Spend (partial lists)- Small business (<$5,000/month CDP spend) • Exponea, Pearl, Nominow, White Rabbit Mid-size: ($5,000-$25,000/month CDP spend) • Arm Treasure Data, BlueConic, BlueVenn, CrossEngage, Exponea, Integral-Core, Knowesis, LeadSpace, Lemnisk, Manthan, , n3, NGData, Optimove, Segment, Tealium Enterprise: (>$25,000/month CDP spend) • BlueVenn, Boxever, Bridg, Evergage, IgnitionOne, LeadSpace, Lemnisk, Manthan, mParticle, n3, NGData, Segment, SessionM, Tealium
  • 56. CDP by Client Industries (partial lists)- B2B/Tech: CrossEngage, Evergage, LeadSpace, Manthan, Radius, Segment, Tealium Retail: AgilOne, BlueConic, BlueVenn, CrossEngage, Evergage, Exponea, IgnitionOne, Manthan, mParticle, Nominow, Optimove, Pearl, Segment, SessionM, Tealium, White Rabbit Media/Publishing: BlueConic, BlueVenn, Integral-Core, mParticle, Segment, Tealium, White Rabbit Financial: Clevertap, Lemnisk, Netcore, NGData, Tealium, n3 Travel: Boxever, Bridg, CrossEngage, mParticle, OpenJaw, Optimove, SessionM Telecom: Flytxt, IntentHQ, Myntelligence, Knowesis Healthcare: HealthGrades, SymphonyRM
  • 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
  • 60. • CDP Institute • Peers • Analysts • Reviews • Phone calls • Demonstrations • Scenarios • Request for Proposal • Proof of Concept • References Selection Tools Screening Assessment Validation
  • 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