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Youcan’tmanagewhatyoucan’tmeasure
Lewis Lenssen - Commercial Director
Measurement
Background
Lewis Lenssen
• 5 years leading and building search agency
• 1 year consulting on social media and online PR for retail
brands (focusing on measurement and valuation)
• 3 years Commercial Director of DC Storm
DC Storm
• Over 2,000 tracked websites with configured attribution
• 30M tracked events per day related to £25M daily revenue
• 5M non-tracking events per day
Agenda
• Marketing performance measurement – A big data challenge?
• Characteristics of Digital Marketing Measurement
• Measured Success - Keys to Success
• The future and the politics
• Summary
• Q&A
Digital Marketing Measurement
A Perfect Big Data Challenge?
Digital Marketing Measurement
Digital Marketing Attributes
• Large volumes of automatic collected, relevant data
• Clear opportunity to optimise marketing
• Significant costs and benefits
Problem Solved?
• Marketing channel silos
• Sales channel silos
• Device silos
• Channel specific measurement
• Un-reconciled data
• Low trust in data
• Last click wins
Bad Measurement too…
Digital Marketing Measurement
Characteristics of the Challenge
Marketing Measurement Characteristics
• Multiple diverse data sources
• Near real time requirements
• Multiple audiences with diverse requirements
• Multiple automation tools
• Not a point in time solution (continuous feedback loop)
Measured Success
Measured Success
Marketing & Sales
Channel Tracking
Unified Data
Resource
Multi-Channel
Attribution
Actionable
Insights
Trading
Analytics
Budget
Planning
Unified Data Resource
Digital Data Ecosystem
Order
‘D&G satin dress’‘acme fashion’
DM
IMP
Mobile
Online
CRM Activity
Picking DispatchRegister
Email
Tablet
Email
Unified Data Resource
• Flexible, scalable database designed to support diverse data
sources
• Ability to reflect evolving channel connections
• Technology that supports easy data import and export
• Sophisticated access and security control
• Specialist requirements and central to success
Configurable User Tracking
Tracking
• Track and join multiple channels and devices
• Website
• Online display
• Mobile Apps
• Support for multiple device users
• Track the events that matter
• Consider media and partner independence
• Audit and validate data
Attribution in Action
Evolution of Attribution
• Last click wins (within channel)
• Last click wins – across channel
• Winning click
• Multi-channel sharing
• Rules based attribution
• Statistical attribution
Attribution Analysis
• Attribution model must reflect your users journeys
• Implement the model(s) that your business needs
• Provide continuity as well as the new measurement
• Continue to deliver ‘last click wins’
• Continue to deliver the old reports
• Must deliver the analysis on an on-going basis
Actionable Reporting and Automation
Reporting
• Share the data love!
• Query tools
• Reporting and templating tools
• Dashboard and visualisation tools
• Data cubes
• Automate production and distribution
• Focus on answering questions, not delivering numbers
Power Automation
• PPC bid management
• Stock powered advertising and creative
• Display buying platforms (DSPs)
Trading Analytics
Trading Analytics
Beyond website and marketing analytics:-
• Margin reporting and attribution
• Offer analysis
• Product demand
• Impact of availability
• Stock availability in relation to demand
• Order processing performance
Future - Budget Planning
The Political Challenges
Summary
• Big data challenge waiting to be solved
• Specific characteristics – Diverse data, near real-time, many
audiences, not point in time
• Measured Success framework for delivering solutions
• Measurement Hub – Specialist requirements and central to success
• Tracking – Audit and validate
• Attribution – On-going delivery
• Actionable Insights – Answer questions
• Trading Analytics – Beyond marketing
• Budget planning – The future
• Political challenges
Thanksforlistening
Questions?
Lewis Lenssen- Commercial Director

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LDD Summer Seminar 2013 - DC Storm you can't manage what you can't measure

  • 3. Background Lewis Lenssen • 5 years leading and building search agency • 1 year consulting on social media and online PR for retail brands (focusing on measurement and valuation) • 3 years Commercial Director of DC Storm DC Storm • Over 2,000 tracked websites with configured attribution • 30M tracked events per day related to £25M daily revenue • 5M non-tracking events per day
  • 4. Agenda • Marketing performance measurement – A big data challenge? • Characteristics of Digital Marketing Measurement • Measured Success - Keys to Success • The future and the politics • Summary • Q&A
  • 5. Digital Marketing Measurement A Perfect Big Data Challenge?
  • 6. Digital Marketing Measurement Digital Marketing Attributes • Large volumes of automatic collected, relevant data • Clear opportunity to optimise marketing • Significant costs and benefits Problem Solved? • Marketing channel silos • Sales channel silos • Device silos • Channel specific measurement • Un-reconciled data • Low trust in data • Last click wins
  • 10. Marketing Measurement Characteristics • Multiple diverse data sources • Near real time requirements • Multiple audiences with diverse requirements • Multiple automation tools • Not a point in time solution (continuous feedback loop)
  • 12. Measured Success Marketing & Sales Channel Tracking Unified Data Resource Multi-Channel Attribution Actionable Insights Trading Analytics Budget Planning
  • 14. Digital Data Ecosystem Order ‘D&G satin dress’‘acme fashion’ DM IMP Mobile Online CRM Activity Picking DispatchRegister Email Tablet Email
  • 15. Unified Data Resource • Flexible, scalable database designed to support diverse data sources • Ability to reflect evolving channel connections • Technology that supports easy data import and export • Sophisticated access and security control • Specialist requirements and central to success
  • 17. Tracking • Track and join multiple channels and devices • Website • Online display • Mobile Apps • Support for multiple device users • Track the events that matter • Consider media and partner independence • Audit and validate data
  • 19. Evolution of Attribution • Last click wins (within channel) • Last click wins – across channel • Winning click • Multi-channel sharing • Rules based attribution • Statistical attribution
  • 20. Attribution Analysis • Attribution model must reflect your users journeys • Implement the model(s) that your business needs • Provide continuity as well as the new measurement • Continue to deliver ‘last click wins’ • Continue to deliver the old reports • Must deliver the analysis on an on-going basis
  • 22. Reporting • Share the data love! • Query tools • Reporting and templating tools • Dashboard and visualisation tools • Data cubes • Automate production and distribution • Focus on answering questions, not delivering numbers
  • 23. Power Automation • PPC bid management • Stock powered advertising and creative • Display buying platforms (DSPs)
  • 25. Trading Analytics Beyond website and marketing analytics:- • Margin reporting and attribution • Offer analysis • Product demand • Impact of availability • Stock availability in relation to demand • Order processing performance
  • 26. Future - Budget Planning
  • 28. Summary • Big data challenge waiting to be solved • Specific characteristics – Diverse data, near real-time, many audiences, not point in time • Measured Success framework for delivering solutions • Measurement Hub – Specialist requirements and central to success • Tracking – Audit and validate • Attribution – On-going delivery • Actionable Insights – Answer questions • Trading Analytics – Beyond marketing • Budget planning – The future • Political challenges