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By The Numbers

Marketing in the 21st Century
       David Kohls
KohlsConsulting@gmail.com
Monthly web traffic

            25000




            20000




            15000
Petabytes




                                                                      Internet
                                                                      Mobile

            10000




             5000




                0
                    2005   2007                         2009   2011
Business Insider
The Objective of Marketing
• Marketing aligns your brand with the
  largest market segments in which you have
  an advantage and targets promotions
  – Brand – a promise of value (that your core
    competence can fulfill)
  – Market segment – personae with a need where
    you can deliver a product or service
  – Advantage – your differentiation so you don’t
    compete on price alone
The good news
• Moore’s law
• Your potential customers can self-educate
  24/7 from anywhere
• You can learn more about customers than
  ever before through Business Intelligence
• Social can lower your support costs and
  enhance virality
The bad news
• Moore’s Law
• Your potential customers can self-educate 24/7
  from anywhere
• Data accumulates much faster than it can be
  analyzed … for now
• Business Intelligence has only 4% penetration
• Social means that messaging about your brand can
  easily get out of control
The really bad news
• Moore’s law and free trade = nowhere to
  hide
• Product life cycles get shorter
• Differentiation gets harder
• Linearity is disappearing
  – Traditional market forecasting is in trouble
• The bear is coming
Analytics at its best
• Imprecise indicators of trends
• Indicators of actions to take
• Use A/B testing for continuous refinement
  – Tweak and retweak
  – Pay attention to timing
• Report using the language of stakeholders
• Track ROI of analytics to justify efforts
Marketing Then and Now
• Revenue generation:     • Revenue generation:
      Marketing 30%             Marketing 70%
      Sales 70%                 Sales 30%
• 3 to 5 ad impressions   • More than 10
                            impressions per
  per conversion            conversion
• You control the         • You try to track the
  messaging                 messaging
• A persona is an idea    • A persona is a
                            segment that you can
                            target
The Google Perspective
• Return on Analytics is the improvement in
  marketing revenue due to analytics
• Zero moment of Truth – prospects need
  over 10 exposures before they first convert
  and buy a product – you need to track and
  measure to know how to build sales.
  – ‘Micro-conversions’ – exposures before the
    ‘macro-conversion’
Data Sources
• Structured data            • Unstructured Data
   –   E-mail responses        –   Blogs
   –   Web logs                –   Tweets
   –   Forms                   –   Articles
   –   Client records          –   Social likes/comments
   –   Affiliate records       –   Rating sites
   –   Mobile Applications     –   Video
   –   Response forms          –   Images
   –   Tracking cookies
Typical Web Analytics
•   Make sure all of your pages are tracking
•   Model your funnel
•   Define your goals
•   Identify your Key Performance Indicators
•   Identify historic baselines for KPIs
•   Use a dashboard to monitor actuals vs
    baselines
Market Evolution Examples
• Marketing automation
  – RocketFuel – Use artificial intelligence to
    tweak your marketing programs for you in real
    time
• BI Services – adding in the unstructured
  data
  – Infinigraph – rate your campaigns and brands
    based on sentiment on Twitter, Facebook etc.
By the Numbers

An unconference presentation
        3/30/2013
       David Kohls
KohlsConsulting@gmail.com

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Marketing By the Numbers for the 21st Century - David Kohls

  • 1. By The Numbers Marketing in the 21st Century David Kohls KohlsConsulting@gmail.com
  • 2. Monthly web traffic 25000 20000 15000 Petabytes Internet Mobile 10000 5000 0 2005 2007 2009 2011
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  • 11. The Objective of Marketing • Marketing aligns your brand with the largest market segments in which you have an advantage and targets promotions – Brand – a promise of value (that your core competence can fulfill) – Market segment – personae with a need where you can deliver a product or service – Advantage – your differentiation so you don’t compete on price alone
  • 12. The good news • Moore’s law • Your potential customers can self-educate 24/7 from anywhere • You can learn more about customers than ever before through Business Intelligence • Social can lower your support costs and enhance virality
  • 13. The bad news • Moore’s Law • Your potential customers can self-educate 24/7 from anywhere • Data accumulates much faster than it can be analyzed … for now • Business Intelligence has only 4% penetration • Social means that messaging about your brand can easily get out of control
  • 14. The really bad news • Moore’s law and free trade = nowhere to hide • Product life cycles get shorter • Differentiation gets harder • Linearity is disappearing – Traditional market forecasting is in trouble • The bear is coming
  • 15. Analytics at its best • Imprecise indicators of trends • Indicators of actions to take • Use A/B testing for continuous refinement – Tweak and retweak – Pay attention to timing • Report using the language of stakeholders • Track ROI of analytics to justify efforts
  • 16. Marketing Then and Now • Revenue generation: • Revenue generation: Marketing 30% Marketing 70% Sales 70% Sales 30% • 3 to 5 ad impressions • More than 10 impressions per per conversion conversion • You control the • You try to track the messaging messaging • A persona is an idea • A persona is a segment that you can target
  • 17. The Google Perspective • Return on Analytics is the improvement in marketing revenue due to analytics • Zero moment of Truth – prospects need over 10 exposures before they first convert and buy a product – you need to track and measure to know how to build sales. – ‘Micro-conversions’ – exposures before the ‘macro-conversion’
  • 18. Data Sources • Structured data • Unstructured Data – E-mail responses – Blogs – Web logs – Tweets – Forms – Articles – Client records – Social likes/comments – Affiliate records – Rating sites – Mobile Applications – Video – Response forms – Images – Tracking cookies
  • 19. Typical Web Analytics • Make sure all of your pages are tracking • Model your funnel • Define your goals • Identify your Key Performance Indicators • Identify historic baselines for KPIs • Use a dashboard to monitor actuals vs baselines
  • 20. Market Evolution Examples • Marketing automation – RocketFuel – Use artificial intelligence to tweak your marketing programs for you in real time • BI Services – adding in the unstructured data – Infinigraph – rate your campaigns and brands based on sentiment on Twitter, Facebook etc.
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  • 24. By the Numbers An unconference presentation 3/30/2013 David Kohls KohlsConsulting@gmail.com