how customer data platforms solve enough to be interesting

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How Customer Data Platforms Solve Enough To Be Interesting David M. Raab Raab Associates Inc. April 1, 2015

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Page 1: How Customer Data Platforms Solve Enough To Be Interesting

How Customer Data Platforms Solve Enough To Be Interesting

David M. Raab

Raab Associates Inc.

April 1, 2015

Page 2: How Customer Data Platforms Solve Enough To Be Interesting

CDP Definition

• marketer-controlled system that

• uses persistent, cross-channel customer data

• to support external marketing execution

Page 3: How Customer Data Platforms Solve Enough To Be Interesting

Customer Management ChallengesData Challenges

• Assemble data• Build profiles• Expose data

• Gather data from multiplesources

• Unify identities across systems

Decisions

• Predictive models

• Message selection

• Multi-stepcampaigns

• Build many good models quickly

• Optimize choices for long term results

• Design and manage complex campaigns

Delivery

• Single channel • Multi channel

• Connect with central system

• Add new channels quickly

Page 4: How Customer Data Platforms Solve Enough To Be Interesting

Separate SystemsData

• Assemble data• Build profiles• Expose data

Decisions

• Predictive models• Message selection• Multi-step

campaigns

Delivery

• Single channel • Multi channel

Web Data

WebDecisions

Web Interactions

Email Interactions

In-store Interactions

EmailDecisions

In-storeDecisions

OtherInteractions

OtherDecisions

Shared DataShared DataOther Data

OtherInteractions

OtherDecisions

OtherInteractions

OtherDecisions

Email Data In-store Data

Page 5: How Customer Data Platforms Solve Enough To Be Interesting

Customer Data PlatformData

• Assemble data• Build profiles• Expose data

Decisions

• Predictive models• Message selection• Multi-step

campaigns

Delivery

• Single channel • Multi channel

WebDecisions

Web Interactions

Email Interactions

In-store Interactions

EmailDecisions

In-storeDecisions

OtherInteractions

OtherDecisions

OtherInteractions

OtherDecisions

OtherInteractions

OtherDecisions

Shared Data

Page 6: How Customer Data Platforms Solve Enough To Be Interesting

CDP Value ProvidedData Challenges Value of CDP

• Assemble data• Build profiles• Expose data

• Gather data from multiplesources

• Unify identities across systems

• Marketer-controlled system to build and share central database

Decisions

• Predictive models

• Message selection

• Multi-stepcampaigns

• Build many good models quickly

• Optimize choices for long term results

• Design and manage complex campaigns

• Easier access to necessary data

• Easier integration of decision systems

Delivery

• Single channel • Multi channel

• Connect with central system

• Add new channels quickly

• Easier connections to existing and new deliverysystems

Page 7: How Customer Data Platforms Solve Enough To Be Interesting

Conclusion:CDP solves the data problem! Candy for all!

Page 8: How Customer Data Platforms Solve Enough To Be Interesting

Conclusion:CDP solves the data problem! Candy for all!

Page 9: How Customer Data Platforms Solve Enough To Be Interesting

Pure-play CDP is one of several solutions to the data problem

(and not necessarily preferred).Data CDP Marketing

PlatformIntegrated

Suite• Assemble data• Build profiles• Expose data

Decisions

• Predictive models• Message selection• Multi-step

campaigns

Delivery

• Single channel • Multi channel

Page 10: How Customer Data Platforms Solve Enough To Be Interesting

In fact, preferences are evenly split.

30% prefer best of breed

30% prefer integrated suite

40% don’t care or don’t know

Data: IAB/Winterberry Group, 2015

Page 11: How Customer Data Platforms Solve Enough To Be Interesting

Function System Group VendorsDataAssemble data

connect systems Boomi, Jitterbit, Talend, Informatica, Websphere, Actian…connect databases Tamr, Clearstory, Trifactatags Tealium, Ensighten, Signal, Doubleclick, Google, Segment

Build Profiles fuzzy match RedPoint, Pitney Bowes, Talend, Experian, SAS, ReachForce…B2C external data Acxiom/LiveRamp, Neustar/Targus, Oracle/Datalogix, V12

B2B external data - Web data: Mblast, Orb Intelligence, Leadspace, InsideView…- no Web data: NetProspex, DiscoverOrg, RainKing- IP based: DemandBase, Profound.net

Expose Data DMP Oracle/BlueKai, IgnitionOne, RocketFuel/[X+1], Adobe…build database Aginity , NGData

DecisionsPredictive models

multi-purpose Wise.io, Blueshift, Context Relevant, SalesPredict…B2B lead score Lattice, Infer, Mintigo, Fliptop, Radius, Kemvi, 6Sense…B2B retention Gainsight, Appuri, Optimove, Woopra, Totango, Preact…B2B pipeline score Velocify, Clari, C9, DxContinuum, Aviso, ResultIQ …

Message selection

predictive CQuotient, Custora, Sailthru, SAP/SeeWhy, BrightInfo…rule-based Monetate, Lytics, Connexio, Woopra, Wibidata…

Multi-step campaigns

B2B AutopilotHQB2C Brickstreet, QuickPivot/Extraprise

DeliverySingle channel

Email YesMail, Lyris, SendGrid, Bronto, ConstantContact…Web CMS Sitecore, Ektron, EpiServer…Mobile Leanplum, Kahuna, Localytics, Swrve…display ads Turn, LinkedIn/Bizo…

Multi channel B2B multichannel Marketo, Eloqua, IBM/Silverpop, Pardot, Act-On …

B2C multichannel RedPoint, AgilOne, Silverpop, Teradata, Adobe, ExactTarget…

Multiple vendor types within each layer.

Page 12: How Customer Data Platforms Solve Enough To Be Interesting

Function System Group Vendors InvestmentDataAssemble data

connect systems Boomi, Jitterbit, Talend, Informatica, Websphere, Actian…connect databases Tamr, Clearstory, Trifactatags Tealium, Ensighten, Signal, Doubleclick, Google, Segment Funding

Build Profiles fuzzy match RedPoint, Pitney Bowes, Talend, Experian, SAS, ReachForce…B2C external data Acxiom/LiveRamp, Neustar/Targus, Oracle/Datalogix, V12 Acquisition

B2B external data - Web data: Mblast, Orb Intelligence, Leadspace, InsideView…- no Web data: NetProspex, DiscoverOrg, RainKing- IP based: DemandBase, Profound.net

Acquisition

Expose Data DMP Oracle/BlueKai, IgnitionOne, RocketFuel/[X+1], Adobe… Acquisitionbuild database Aginity , NGData

DecisionsPredictive models

multi-purpose Wise.io, Blueshift, Context Relevant, SalesPredict… FundingB2B lead score Lattice, Infer, Mintigo, Fliptop, Radius, Kemvi, 6Sense… FundingB2B retention Gainsight, Appuri, Optimove, Woopra, Totango, Preact… FundingB2B pipeline score Velocify, Clari, C9, DxContinuum, Aviso, ResultIQ … Funding

Message selection

predictive CQuotient, Custora, Sailthru, SAP/SeeWhy, BrightInfo… Fundingrule-based Monetate, Lytics, Connexio, Woopra, Wibidata… Funding

Multi-step campaigns

B2B AutopilotHQB2C Brickstreet, QuickPivot/Extraprise

DeliverySingle channel

Email YesMail, Lyris, SendGrid, Bronto, ConstantContact…Web CMS Sitecore, Ektron, EpiServer…Mobile Leanplum, Kahuna, Localytics, Swrve…display ads Turn, LinkedIn/Bizo…

Multi channel B2B multichannel Marketo, Eloqua, IBM/Silverpop, Pardot, Act-On … AcquisitionB2C multichannel RedPoint, AgilOne, Silverpop, Teradata, Adobe, ExactTarget… Acquisition

New Funding is (Mostly) for Decisions

Page 13: How Customer Data Platforms Solve Enough To Be Interesting

Let’s all buy Marketing Platforms!

Data CDP MarketingPlatform

IntegratedSuite• Assemble data

• Build profiles• Expose data

Decisions

• Predictive models• Message selection• Multi-step

campaigns

Delivery

• Single channel • Multi channel

Page 14: How Customer Data Platforms Solve Enough To Be Interesting

…or not.

Data CDP MarketingPlatforms

IntegratedSuite• Assemble data

• Build profiles• Expose data

Decisions

• Predictive models• Message selection• Multi-step

campaigns

Delivery

• Single channel • Multi channel

Page 15: How Customer Data Platforms Solve Enough To Be Interesting

Conclusion (again):CDP solves the data problem! Candy for all!

Page 16: How Customer Data Platforms Solve Enough To Be Interesting

Conclusion (again):CDP solves the data problem! Candy for all!

Page 17: How Customer Data Platforms Solve Enough To Be Interesting

Marketing of the Future:MarTech + AdTech = MadTech

MarTech AdTech MadTech

Data • Identifiableindividuals

• Advanced Association

• External data pools

• Aggregated sources

• Thing data

• External pools of aggregateddata tied to individuals & things

Decisions • Journey tracking

• Advanced attribution

• Real time bidding

• Behavior-based recommendations

• AI-based bidding, message selection and content generation

Delivery • Personalizedmessages in owned media

• Targeted messages in paid media

• Personalized messages across all media

Page 18: How Customer Data Platforms Solve Enough To Be Interesting

Summary

•CDP today

•MadTech tomorrow

Page 19: How Customer Data Platforms Solve Enough To Be Interesting