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AUDIENCE BUILDER &
IMH REPORTING IN ACTION
              PANELISTS:
           JIM MCINTOSH
            JOE LEKOSTAJ
        LAURENCE ROTHMAN
             JEFF SCHLITT

           MODERATOR:
             JIM EUP
AGENDA
   Jim McIntosh
    ExactTarget     • Audience Builder & IMH Reporting 411

   Joe LeKostaj
                    • Audience Builder Case Study
    threadless

 Laurence Rothman
   Crown Partners   • IMH Reporting: Discover Beta Case Study

    Jeff Schlitt
      Aginity       • Customer Data Best Practices

       YOU          • Open Questions & Answers
AUDIENCE BUILDER &
IMH REPORTING 411
     JIM MCINTOSH
      EXACTTARGET
AUDIENCE BUILDER
SEGMENTATION DATA MART
• Common view of consumer for cross-
  channel interactive marketers
• Marketer control
• Drag & drop segmentation
• Relevant dynamic content messages
  with little or no scripting
CONSOLIDATES DEMOGRAPHIC & BEHAVIORAL DATA
INTO MARKETER-FRIENDLY FORMAT
                            • Standard Email Behavior
                              & Subscriber Attributes
                            • Custom Dimensions
                               –   Products Purchased
                               –   Web Analytics
                               –   Customer Scoring
                               –   Geo Targeting
IMH REPORTING ROADMAP: CENTRAL ACCESS TO
OLD & NEW REPORTS – STANDARD & CUSTOM




 Current Email Reports       New IMH Reports Tool             Discover
Email reports in same tool     More Flexibility –    Pivot table + analytics &
                              Build from Templates         visualizations
DISCOVER: PREMIUM REPORTING DATA
MART IN BETA SINCE Q1 2012
                                                          • Data mart for ad-hoc
                                                            analysis & discovery
                                                          • Drag & drop pivot-
                                                            tables + interactive
                                                            visualizations
                                                          • Custom calculations



DRAFT: All information subject to change without notice
DISCOVER DOES NOT REQUIRE CUSTOM
DEVELOPMENT SERVICES
                          • Standard data
                            supported now
                          • Custom data in
                            the future with
                            Contacts Meta
                            Data Tool
threadless +
Audience Builder =
     $$$$$$
       Joe LeKostaj
     threadless.com
•   100% community designs
•   Founded in 2000
•   Not just t-shirts!
•   Focus on challenges
     – Partners including
       Gap, Disney, Marvel, Sony
“TRADITIONAL GREETING”
                    What can I promote to someone
                    who bought this hoody?
                    • Other designs by this artist
                    • Other designs tagged with
                      “Nerdy,” “Sci-Fi”
                    • Other high price-point items
                    • Focus on guy stuff
WHY AUDIENCE BUILDER IS COOL
• As good as the data you fill it with
• Instantly calculate audience size for partners
• Create laser-targeted small audiences, or break up
  large groups into segments for dynamic content
• Waterfall priority segmentation
• Easy dynamic content
• Awesome for split-testing
WHAT’S NEXT FOR THREADLESS?
• Smart content blocks
• Optimizing transactional emails
• Much more community focus
   – Dynamic notifications when new designs are
     submitted/printed by an artist you like
   – Scoring incentives
   – Badges
IMH REPORTING:
DISCOVER CASE STUDY
    LAURENCE ROTHMAN
     CROWN PARTNERS
WHO I AM…

            • Laurence Rothman
              Principal Consultant,
              Digital Messaging Practice
            • Crown Partners
            • A full service, full life cycle
              eBusiness firm
WHY DISCOVER?
                • Drive decision making
                • Understand what’s
                  happening now
                • Data to make informed
                  decisions
HOW I USED DISCOVER
                      • Typical points
                        made are made
                        better in real time
                        and graphically
                      • Many measures
                        make your point
THE COMPARISON
                 • Everyone wants to
                   benchmark
                 • How are we doing
                   versus…
Enabling Email Channel Management
                      • Starts from the
                        baseline
                      • Understand your
                        trends
                      • Win budget and
                        priority
CUSTOMER DATA BEST
    PRACTICES
      JEFF SCHLITT
        AGINITY
We help our clients build meaningful relationships
                                with their customers and take profitable action based
                                on deep customer insight.




Organize …                                                                Analyze
Disp arat e             …                                                 t hro ug h            Realize
Dat a                   Dat ab ase                …                       A d vanced            Benefi t s
Ho w d o w e g et a     Sizes                     Dat a                   A naly t ics          Ho w d o w e
sing le v ersio n o f                                                                           cap it alize o n
t he accurat e          Ho w d o w e              Qualit y                How d o w e d riv e
                                                                                                cust o m er insig ht s?
                        p ro cess,                                        rep eat ab le,
t rut h w hile                                    How d o w e                                   Ho w d o w e ut ilize
                        analy ze and st o re                              p red ict iv e
co nsum ing                                       achieve                                       int eract iv e rep o rt ing
                        v ery larg e v o lum es                           analy t ics t hat
ext rem ely v aried                               t he level o f d at a   can b e               and d y nam ically
so urces o f d at a?    o f d at a                q ualit y need ed       int eg rat ed int o   d rill d o w n t o g ain
                        ( t ransact io n,         w it ho ut
                        clickst ream , so cial                            co m p any            insig ht s?
                                                  sig nifi cant ,          d ecisio n m aking
                        m ed ia,                  exp ensiv e, t im e
                        b ehav io ral) ?                                  p ro cesses?
                                                  co nsum ing
                                                  m anual clean up ?
CUSTOMER DATA BEST PRACTICES TO HELP
YOU GET READY
•   Get the right people involved
•   Make sure your data is ready
•   Make sure you and your marketing team is ready
•   Plan for post-deployment
Audience Builder: Who is Involved?
•   Marketing managers
•   Marketing data analyst
•   Information technology customer database specialist
•   Your ET services team
     – Creative specialists
     – Project manager
     – Audience Builder data/technical architect
Audience Builder: Data Readiness
                      • Single customer
                        identifier and
                        source




                      • Centralized
                        customer database?
Audience Builder: Data Readiness
                      • Data extension
                        model




                      • Import process
                        defined and
                        validated
Audience Builder: Am I Ready?
• Segmentation use case inventory
   – How many customers bought product A in the last 30
     days?
• Do I understand “my” data?
   – How will we validate and feel comfortable with the
     data Audience Builder is showing?
• Am I familiar with Interactions @ ET
   – Activities
   – Programs
Audience Builder: Am I Ready?
• Am I an existing customer converting from Data
  Filters or Query Activities to Audience Builder?
• How is segmentation done currently if not at ET?
• Data extension model design
Audience Builder: Post-Deployment




                                                                                                        Value
           Crawl                              Walk                               Run
• Use Audience Builder as a       • Save simple segment models     • Layer in email behavior to the
  discovery and analysis tool       (Product affinity, cyclical      segments
• Use source lists to as a          customer)                      • Prioritize offers based on most
  dimension                       • Drive simple dynamic content     profitable segments
• Analyze segment behavior with     based on segment assignment    • Adjust or manage frequency to
  same content using the          • Link Web Analytics and ET        optimize and increase click rate
  segment report                    Segments – Google Analytics
• Manual execution                • Begin Automation
Audience Builder: Post-Deployment
• How can we accelerate our iterative deployment?
   – Flexible attribute add-on
   – Audience Builder Base + Email Edition
   – Additional services – SLA or ad-hoc driven
QUESTIONS &
 ANSWERS

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ExactTarget & Crown Audience Builder

  • 1. AUDIENCE BUILDER & IMH REPORTING IN ACTION PANELISTS: JIM MCINTOSH JOE LEKOSTAJ LAURENCE ROTHMAN JEFF SCHLITT MODERATOR: JIM EUP
  • 2. AGENDA Jim McIntosh ExactTarget • Audience Builder & IMH Reporting 411 Joe LeKostaj • Audience Builder Case Study threadless Laurence Rothman Crown Partners • IMH Reporting: Discover Beta Case Study Jeff Schlitt Aginity • Customer Data Best Practices YOU • Open Questions & Answers
  • 3. AUDIENCE BUILDER & IMH REPORTING 411 JIM MCINTOSH EXACTTARGET
  • 4. AUDIENCE BUILDER SEGMENTATION DATA MART • Common view of consumer for cross- channel interactive marketers • Marketer control • Drag & drop segmentation • Relevant dynamic content messages with little or no scripting
  • 5. CONSOLIDATES DEMOGRAPHIC & BEHAVIORAL DATA INTO MARKETER-FRIENDLY FORMAT • Standard Email Behavior & Subscriber Attributes • Custom Dimensions – Products Purchased – Web Analytics – Customer Scoring – Geo Targeting
  • 6. IMH REPORTING ROADMAP: CENTRAL ACCESS TO OLD & NEW REPORTS – STANDARD & CUSTOM Current Email Reports New IMH Reports Tool Discover Email reports in same tool More Flexibility – Pivot table + analytics & Build from Templates visualizations
  • 7. DISCOVER: PREMIUM REPORTING DATA MART IN BETA SINCE Q1 2012 • Data mart for ad-hoc analysis & discovery • Drag & drop pivot- tables + interactive visualizations • Custom calculations DRAFT: All information subject to change without notice
  • 8. DISCOVER DOES NOT REQUIRE CUSTOM DEVELOPMENT SERVICES • Standard data supported now • Custom data in the future with Contacts Meta Data Tool
  • 9. threadless + Audience Builder = $$$$$$ Joe LeKostaj threadless.com
  • 10. 100% community designs • Founded in 2000 • Not just t-shirts! • Focus on challenges – Partners including Gap, Disney, Marvel, Sony
  • 11. “TRADITIONAL GREETING” What can I promote to someone who bought this hoody? • Other designs by this artist • Other designs tagged with “Nerdy,” “Sci-Fi” • Other high price-point items • Focus on guy stuff
  • 12. WHY AUDIENCE BUILDER IS COOL • As good as the data you fill it with • Instantly calculate audience size for partners • Create laser-targeted small audiences, or break up large groups into segments for dynamic content • Waterfall priority segmentation • Easy dynamic content • Awesome for split-testing
  • 13. WHAT’S NEXT FOR THREADLESS? • Smart content blocks • Optimizing transactional emails • Much more community focus – Dynamic notifications when new designs are submitted/printed by an artist you like – Scoring incentives – Badges
  • 14. IMH REPORTING: DISCOVER CASE STUDY LAURENCE ROTHMAN CROWN PARTNERS
  • 15. WHO I AM… • Laurence Rothman Principal Consultant, Digital Messaging Practice • Crown Partners • A full service, full life cycle eBusiness firm
  • 16. WHY DISCOVER? • Drive decision making • Understand what’s happening now • Data to make informed decisions
  • 17. HOW I USED DISCOVER • Typical points made are made better in real time and graphically • Many measures make your point
  • 18. THE COMPARISON • Everyone wants to benchmark • How are we doing versus…
  • 19. Enabling Email Channel Management • Starts from the baseline • Understand your trends • Win budget and priority
  • 20. CUSTOMER DATA BEST PRACTICES JEFF SCHLITT AGINITY
  • 21. We help our clients build meaningful relationships with their customers and take profitable action based on deep customer insight. Organize … Analyze Disp arat e … t hro ug h Realize Dat a Dat ab ase … A d vanced Benefi t s Ho w d o w e g et a Sizes Dat a A naly t ics Ho w d o w e sing le v ersio n o f cap it alize o n t he accurat e Ho w d o w e Qualit y How d o w e d riv e cust o m er insig ht s? p ro cess, rep eat ab le, t rut h w hile How d o w e Ho w d o w e ut ilize analy ze and st o re p red ict iv e co nsum ing achieve int eract iv e rep o rt ing v ery larg e v o lum es analy t ics t hat ext rem ely v aried t he level o f d at a can b e and d y nam ically so urces o f d at a? o f d at a q ualit y need ed int eg rat ed int o d rill d o w n t o g ain ( t ransact io n, w it ho ut clickst ream , so cial co m p any insig ht s? sig nifi cant , d ecisio n m aking m ed ia, exp ensiv e, t im e b ehav io ral) ? p ro cesses? co nsum ing m anual clean up ?
  • 22. CUSTOMER DATA BEST PRACTICES TO HELP YOU GET READY • Get the right people involved • Make sure your data is ready • Make sure you and your marketing team is ready • Plan for post-deployment
  • 23. Audience Builder: Who is Involved? • Marketing managers • Marketing data analyst • Information technology customer database specialist • Your ET services team – Creative specialists – Project manager – Audience Builder data/technical architect
  • 24. Audience Builder: Data Readiness • Single customer identifier and source • Centralized customer database?
  • 25. Audience Builder: Data Readiness • Data extension model • Import process defined and validated
  • 26. Audience Builder: Am I Ready? • Segmentation use case inventory – How many customers bought product A in the last 30 days? • Do I understand “my” data? – How will we validate and feel comfortable with the data Audience Builder is showing? • Am I familiar with Interactions @ ET – Activities – Programs
  • 27. Audience Builder: Am I Ready? • Am I an existing customer converting from Data Filters or Query Activities to Audience Builder? • How is segmentation done currently if not at ET? • Data extension model design
  • 28. Audience Builder: Post-Deployment Value Crawl Walk Run • Use Audience Builder as a • Save simple segment models • Layer in email behavior to the discovery and analysis tool (Product affinity, cyclical segments • Use source lists to as a customer) • Prioritize offers based on most dimension • Drive simple dynamic content profitable segments • Analyze segment behavior with based on segment assignment • Adjust or manage frequency to same content using the • Link Web Analytics and ET optimize and increase click rate segment report Segments – Google Analytics • Manual execution • Begin Automation
  • 29. Audience Builder: Post-Deployment • How can we accelerate our iterative deployment? – Flexible attribute add-on – Audience Builder Base + Email Edition – Additional services – SLA or ad-hoc driven