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USING BIG DATA
TO ACCELERATE REVENUE GROWTH



10/11/12

David Feinleib


THE NEXT BIG THING
BLOGS.FORBES.COM/DAVEFEINLEIB
WHAT IS BIG DATA?




BLOGS.FORBES.COM/DAVEFEINLEIB
BLOGS.FORBES.COM/DAVEFEINLEIB
BLOGS.FORBES.COM/DAVEFEINLEIB
+




BLOGS.FORBES.COM/DAVEFEINLEIB
Ironman France




BLOGS.FORBES.COM/DAVEFEINLEIB
Outline




       1) Market Trends
       2) Big Data Marketing Best Practices
       3) Your Big Data Roadmap




BLOGS.FORBES.COM/DAVEFEINLEIB                 7
EXPONENTIAL DATA GROWTH




METADATA GROUP
BLOGS.FORBES.COM/DAVEFEINLEIB
                                8
Copyright © 2012 Dave Feinleib   dave@thebigdatagroup.com   bigdatalandcsape.com
Facebook at 900M Users in Apr ’12

              1000



               750

  Users
In Millions
               500



               250


                                                                Source: Benphoster.com
                0
                Dec 04   Apr 07   Jan 09   Jul 09   Feb 10   Jan 11      Sep 11


 BLOGS.FORBES.COM/DAVEFEINLEIB                                                           10
Twitter at 400M Tweets Per Day in Jun ’12

           400



           300


 Tweets
Per Day In 200
 Millions


           100



                                                    Source: Twitter blog and news reports
             0
             Jan 07   Jan 08      Oct 09   Sep 10      Jun 11        Oct 11          Jun 12

  BLOGS.FORBES.COM/DAVEFEINLEIB                                                               11
94% Corporate Data Growth Y/Y



           Area                           Growth Rate

          Database systems                    97%

          Overall corporate data              94%

           Data of average organization       50%

                                                Source: Forrester




BLOGS.FORBES.COM/DAVEFEINLEIB                                       12
BIG DATA FOR MARKETING SUCCESS




 METADATA GROUP
BLOGS.FORBES.COM/DAVEFEINLEIB
                                  13
Online Marketing: Then And Now

                     THEN...                         NOW...
                                                 Marketing and Sales
                      Leads
                                                 Recommendations

Company      First    Last     Oppty   Created


  Acme       Fred     Langan   $250K   6/08/12
  BigCo      Tom      Jones    $100K   6/17/12
                                                     Campaign
 DealCo       Jan     Sedor    $50K    7/01/12
                                                  Recommendations
Stor Works   Liza     Grear    $750K   7/14/12

RF Group     Carl     Tomer    $47K    7/18/12




BLOGS.FORBES.COM/DAVEFEINLEIB                                          14
7 Steps To Big Data Marketing Success



       1) Get all your data in the cloud
       2) Run marketing campaigns
       3) Capture the data
       4) Get the data in one place
       5) Analyze
       6) Create a profile
       7) Run more campaigns!

BLOGS.FORBES.COM/DAVEFEINLEIB              15
1. Get All Your Data In The Cloud



         SaaS applications are available to help
         manage customer interactions in the cloud:
         - Bloomreach
         - Marketo
         - Zendesk
         - Salesforce
         - Facebook, Google, Twitter


BLOGS.FORBES.COM/DAVEFEINLEIB                         16
2. Run Marketing Campaigns




         To make predictions about what to do next,
         you first need to run marketing campaigns
         (including experiments)




BLOGS.FORBES.COM/DAVEFEINLEIB                         17
3. Capture The Data



         Focus on answering useful business questions
         Example: which of the following drives more
         revenue?
         - Signup form
         - Lead source
         - Time of day
         - Deal size
         - # of Helpdesk tickets
         - Actual product usage

BLOGS.FORBES.COM/DAVEFEINLEIB                           18
4. Get The Data In One Place




         Pull diverse data sources into one
         repository, such as Hadoop
         Combine those data sources




BLOGS.FORBES.COM/DAVEFEINLEIB                 19
5. Analyze


         Hire or designate a Data Analyst
         Analyze the data using appropriate tools
         Evaluate correlation of data across different
         systems (Marketo, homegrown, product, and
         Salesforce.com)
         Determine which campaigns drove usage but did
         not convert to paid accounts


BLOGS.FORBES.COM/DAVEFEINLEIB                            20
6. Create A Profile




         Create a profile with cohorts to recreate
         success and inform new campaigns




BLOGS.FORBES.COM/DAVEFEINLEIB                       21
7. Run More Campaigns!




         Learn from what worked
         Throw away what didn’t
         Experiment with new ideas




BLOGS.FORBES.COM/DAVEFEINLEIB        22
SUMMARY




 METADATA GROUP
BLOGS.FORBES.COM/DAVEFEINLEIB
                                23
Big Data Marketing Success




       1) Don’t let tools dictate your data structure
       2) Start with small experiments, then expand
       3) Find the right combination of technology
          and people to get the most insight



BLOGS.FORBES.COM/DAVEFEINLEIB                           24
For More Information




         David Feinleib
         dave@thebigdatagroup.com
         415.852.0324




BLOGS.FORBES.COM/DAVEFEINLEIB       25

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Big Data Marketing

  • 1. USING BIG DATA TO ACCELERATE REVENUE GROWTH 10/11/12 David Feinleib THE NEXT BIG THING BLOGS.FORBES.COM/DAVEFEINLEIB
  • 2. WHAT IS BIG DATA? BLOGS.FORBES.COM/DAVEFEINLEIB
  • 7. Outline 1) Market Trends 2) Big Data Marketing Best Practices 3) Your Big Data Roadmap BLOGS.FORBES.COM/DAVEFEINLEIB 7
  • 8. EXPONENTIAL DATA GROWTH METADATA GROUP BLOGS.FORBES.COM/DAVEFEINLEIB 8
  • 9. Copyright © 2012 Dave Feinleib dave@thebigdatagroup.com bigdatalandcsape.com
  • 10. Facebook at 900M Users in Apr ’12 1000 750 Users In Millions 500 250 Source: Benphoster.com 0 Dec 04 Apr 07 Jan 09 Jul 09 Feb 10 Jan 11 Sep 11 BLOGS.FORBES.COM/DAVEFEINLEIB 10
  • 11. Twitter at 400M Tweets Per Day in Jun ’12 400 300 Tweets Per Day In 200 Millions 100 Source: Twitter blog and news reports 0 Jan 07 Jan 08 Oct 09 Sep 10 Jun 11 Oct 11 Jun 12 BLOGS.FORBES.COM/DAVEFEINLEIB 11
  • 12. 94% Corporate Data Growth Y/Y Area Growth Rate Database systems 97% Overall corporate data 94% Data of average organization 50% Source: Forrester BLOGS.FORBES.COM/DAVEFEINLEIB 12
  • 13. BIG DATA FOR MARKETING SUCCESS METADATA GROUP BLOGS.FORBES.COM/DAVEFEINLEIB 13
  • 14. Online Marketing: Then And Now THEN... NOW... Marketing and Sales Leads Recommendations Company First Last Oppty Created Acme Fred Langan $250K 6/08/12 BigCo Tom Jones $100K 6/17/12 Campaign DealCo Jan Sedor $50K 7/01/12 Recommendations Stor Works Liza Grear $750K 7/14/12 RF Group Carl Tomer $47K 7/18/12 BLOGS.FORBES.COM/DAVEFEINLEIB 14
  • 15. 7 Steps To Big Data Marketing Success 1) Get all your data in the cloud 2) Run marketing campaigns 3) Capture the data 4) Get the data in one place 5) Analyze 6) Create a profile 7) Run more campaigns! BLOGS.FORBES.COM/DAVEFEINLEIB 15
  • 16. 1. Get All Your Data In The Cloud SaaS applications are available to help manage customer interactions in the cloud: - Bloomreach - Marketo - Zendesk - Salesforce - Facebook, Google, Twitter BLOGS.FORBES.COM/DAVEFEINLEIB 16
  • 17. 2. Run Marketing Campaigns To make predictions about what to do next, you first need to run marketing campaigns (including experiments) BLOGS.FORBES.COM/DAVEFEINLEIB 17
  • 18. 3. Capture The Data Focus on answering useful business questions Example: which of the following drives more revenue? - Signup form - Lead source - Time of day - Deal size - # of Helpdesk tickets - Actual product usage BLOGS.FORBES.COM/DAVEFEINLEIB 18
  • 19. 4. Get The Data In One Place Pull diverse data sources into one repository, such as Hadoop Combine those data sources BLOGS.FORBES.COM/DAVEFEINLEIB 19
  • 20. 5. Analyze Hire or designate a Data Analyst Analyze the data using appropriate tools Evaluate correlation of data across different systems (Marketo, homegrown, product, and Salesforce.com) Determine which campaigns drove usage but did not convert to paid accounts BLOGS.FORBES.COM/DAVEFEINLEIB 20
  • 21. 6. Create A Profile Create a profile with cohorts to recreate success and inform new campaigns BLOGS.FORBES.COM/DAVEFEINLEIB 21
  • 22. 7. Run More Campaigns! Learn from what worked Throw away what didn’t Experiment with new ideas BLOGS.FORBES.COM/DAVEFEINLEIB 22
  • 24. Big Data Marketing Success 1) Don’t let tools dictate your data structure 2) Start with small experiments, then expand 3) Find the right combination of technology and people to get the most insight BLOGS.FORBES.COM/DAVEFEINLEIB 24
  • 25. For More Information David Feinleib dave@thebigdatagroup.com 415.852.0324 BLOGS.FORBES.COM/DAVEFEINLEIB 25

Notes de l'éditeur

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  4. The amount of detail is so impressive you might think this requires an elaborate and expensive set of monitoring gear. \n
  5. But unbelievably this can all be captured using a low cost off the shelf device combined with the online Garmin connect software. This truly epitomizes Big Data.\n
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