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Beyond Search Engines: The Brave New World of
Retargeting Data




 Eli Goodman, Media Evangelist, comScore, Inc. @LosBuenos
 James Green, CEO, Magnetic @jamesANGreen
  *A copy of today’s presentation will be sent to all attendees within 48 hours
Our Presenters

       Eli Goodman                                     James Green
       Media Evangelist                                CEO
       comScore, Inc.                                  Magnetic




                 © comScore, Inc.   Proprietary.   2
comScore Customer Knowledge Platform: A granular 360° view of the
multitude of online activities for 2 million global users




             Designed to be representative of the total online population.
                © comScore, Inc. Proprietary. 3
                 TRUSTe certified for information privacy & security.
Magnetic Combines the Intent of Search with Scale from Display


  Search retargeting focuses on targeting customers with display
             advertising based on user search history


         1                                2                       3                       4




  USER SEARCHES      USER CONSIDERS OPTIONS               USER SEES TARGETED AD     USER CONVERTS
  For “iPhone” or    iPhone, Droid, BlackBerry,              for iPhone when in    Visits Apple.com,
      “phone”                Palm Pre                       consideration mode    checks out products,
                                                                                   purchases iPhone




                    © comScore, Inc.   Proprietary.   4
Agenda



•   State of Search
•   Searcher Intent
•   Search Engines vs. Non Search Engines
•   Understanding the Search Experience
•   Reaching Consumers with Marketing Messages
•   Beyond Google & Search Engines
•   New Data Insights for Retargeting




                      © comScore, Inc.   Proprietary.   5
28.5 billion searches: 7% year-over-year growth

qSearch 2.0: Trends in the Search Market: Total Searches This Year


                      Total U.S. Searches for all qSearch properties (Billions)
                                                                                                                                 Change vs.
                                                                                                                                 January-11




                                                                                               28.3     28.3     29.5   28.5        +7%
      26.7            26.7                      27.2       26.6   27.4         27.3   27.1
               24.3              25.6




      Jan-11                    Apr-11                            Jul-11                      Oct-11                    Jan-12




                             © comScore, Inc.   Proprietary.               6          Source: comScore qSearch 2.0
Search growth is driven by both increased intensity and
searchers

qSearch 2.0: Trends in the Search Market: Total Unique Searchers & Search Intensity


                                          Unique Searchers (MM) vs. Search Intensity
                                                                                                                                  Change vs.
                                                                                                                                  January-11


                                                                                                           130.5
   400.0                    122.5               124.3 121.2           124.1    123.2 120.4 124.5   124.8           125.7
           120.5                      118.0
                    112.7                                                                                                             +4%
                                                                                                                              120.0
   350.0

   300.0                                                                                                                  100.0
                                                                                                                     Searches Per Searcher
   250.0   221.7 216.1      217.7 217.0         218.5 219.1 220.9              221.7 224.7 227.5   226.7   226.4 226.7        80.0
   200.0                                                                                                                              +2%
                                                                                                                              60.0
   150.0
                                                                                                                              40.0
   100.0                                                                                                                    Unique Searchers
    50.0                                                                                                                      20.0

      -                                                                                                                       -
           Jan-11                    Apr-11                           Jul-11              Oct-11                   Jan-12




                                    © comScore, Inc.   Proprietary.                7      Source: comScore qSearch 2.0
Search engines account for the majority of searches at 18.7 billion
searches in January 2012

qSearch 2.0: Trends in the Search Market: Search Engines vs. Non-Search Engines
 Alternative search properties maintain strong growth: this includes search at
 portals, directories, resources, multimedia, and social networking sites.

            Total U.S. Searches (Billions)
                                                                                          Total Searches
                                                                                          Non-Search Engines                               Change vs.
                                                                                                                                           January-11
                                                                                          Search Engines
                                                                                                                  29.5
                                                                                             28.3    28.3                    28.5
     26.7            26.7                27.2         26.6     27.4      27.3      27.1
                             25.6
              24.3                                                                                                                               +7%
                                                                                              9.2        9.6      10.4       9.9
     9.5             9.4                 9.6           9.3      9.6       9.4       8.9
                             8.9
              8.6
                                                                                                                                                 +3%



    17.2             17.3                17.6         17.3     17.8      17.9      18.1       19.2      18.7      19.1       18.7                +9%
              15.7           16.7




    Jan-11 Feb-11 Mar-11    Apr-11 May-11 Jun-11               Jul-11   Aug-11 Sep-11 Oct-11 Nov-11 Dec-11 Jan-12




                                                “Search Engines” defined as properties falling under the Search/Navigation category in qSearch

                             © comScore, Inc.   Proprietary.              8            Source: comScore qSearch 2.0
Among the top alternative search properties, eBay leads the pack
with 801MM searches

qSearch 2.0: Alternative Search Properties: Searches




                 Alternative Search Properties: Searches (MM)
                                                                                                            Change vs.
                                                                                                            January-11

  900

  800                                                                                               800.8     -6%   eBay

  700                                                                                               705.0
                                                                                                              +8% craigslist, inc.
  600

  500

  400                                                                                               365.6    +42% Amazon Sites
                                                                                                    350.4
  300
                                                                                                             -43% Facebook.com
  200
                                                                                                   159.6
  100                                                                                                        -10% Apple Inc.

   0

        Jan-11             Apr-11                          Jul-11       Oct-11                Jan-12


                             © comScore, Inc.   Proprietary.        9       Source: comScore qSearch 2.0
Amazon, eBay, Apple, and Craigslist show increases in searcher
base from a year ago

qSearch 2.0: Alternative Search Properties: Unique Searchers




          Alternative Search Properties: Unique Searchers (MM)
                                                                                                           Change vs.
                                                                                                           January-11

   80

   70
                                                                                                           -21% Facebook.com
   60
                                                                                                    50.9
                                                                                                           +11% eBay
   50                                                                                               50.1
                                                                                                    49.3
   40                                                                                                      +28% Amazon Sites
                                                                                                    38.2
   30
                                                                                                            +4% craigslist, inc.
   20
                                                                                                    16.3
   10                                                                                                       +5% Apple Inc.

    0
        Jan-11         Apr-11                             Jul-11        Oct-11                Jan-12




                        © comScore, Inc.   Proprietary.            10      Source: comScore qSearch 2.0
Interpreting Intent
Why it’s difficult but important.

 Why it’s difficult
  – Imagine a stranger walks up to you and utters two words completely out of
    context, then stares and waits for a response.




 Why it’s important
  – Obvious: Present results that are relevant to what the user is trying to
    accomplish
    “iPod” vs. “iPod support”
    “Chicago” the city vs. “Chicago” the musical
  – Increasingly Important: Vertically specialized presentations
                       © comScore, Inc.   Proprietary.   11
Search engines are constantly looking for ways to interpret and
respond to intent

 How it’s done by the engines
  – Algorithmically
    Historical query and click logs
    User-level data
    Keyword analysis
  – Conversationally
    Search suggestions
    Query refinement




                       © comScore, Inc.   Proprietary.   12
All the major web search engines have developed technologies to
better elicit intent from users




                           Fairly ambiguous query. Product
                         research? Price? Location? Support?




             Category level
              refinements

                                                  These are all attempts
                                                     by the engine to
               Query logs                          “converse” with the
                                                      user to better
                                                    understand intent



             Search history




                © comScore, Inc.   Proprietary.   13
If engines are confident they understand intent, they can present
specialized results




                © comScore, Inc.   Proprietary.   14
A true analysis of search intent should include ALL search activity on
the web

 Web search – Still (and probably always) the 800 pound gorilla
 Search channels




 Site/specialized search




                   © comScore, Inc.   Proprietary.   15
Searches on Non-Search Engines are up to 14% longer than those on Search Engines




 3.7

 3.6

 3.5

 3.4

 3.3
                                             14% Difference
                                                                                                   Non Search Engine
 3.2                                                                                               Search Engines

 3.1

  3

 2.9




        Greater specificity while searching equates to deeper funnel stages

   Intent becomes easier to determine the more specific you are with your search


                    © comScore, Inc.   Proprietary.    16     Source: comScore qSearch June 2010
Shopping Search over-indexes heavily on Non-Search Engines




        35%                            46%

                                                          Non-Search
                                                          Engines
        65%                                               Search Engines
                                       54%




    All Searches               Shopping
                               Searches




                   © comScore, Inc.   Proprietary.   17
Travel search also gathers more than its fair share




        35%                             40%
                                                          Non-Search
                                                          Engines
                                                          Search Engines
        65%
                                        60%




    All Searches        Travel Searches



                   © comScore, Inc.   Proprietary.   18
New Searching on Search Engines Dominated by Brands

         Non-Search Engine news searching is solely story related




                © comScore, Inc.   Proprietary.   19
Agenda



•   State of Search
•   Searcher Intent
•   Search Engines vs. Non Search Engines
•   Understanding the Search Experience
•   Reaching Consumers with Marketing Messages
•   Beyond Google & Search Engines
•   New Data Insights for Retargeting




                      © comScore, Inc.   Proprietary.   20
The Age of Data-Driven Advertising




                © comScore, Inc.   Proprietary.   21
Understand Your Search Experience


 1      What was your last search?                           3   What site did your search lead you to?


2       Where did you initiate the search?                   4   Did you search again?



     Flat Screen TV




                                                                                     Samsung PN43E450




                      © comScore, Inc.   Proprietary.   22
When Can Marketers Reach Their Audience?


                              Product research,             Brand research,
                               reviews, prices            product information




   New flat screen tv                                                            Samsung PN43E450




  Initial search                              Consideration Phase               Revised Search




                                     Retargeting Opportunity


                        © comScore, Inc.   Proprietary.    23
Looking Beyond Google




           Search Engines*                                                 Vertical Sites
                                                                  Search
      Shopping Comparison
                                                                   Data
                                                                           E-Commerce




* Top five search engine entities, comScore 2012
                                © comScore, Inc.   Proprietary.    24
Search Environments




                                                                  Search
                                                                   Data




* Top five search engine entities, comScore 2012
                                © comScore, Inc.   Proprietary.    25
Search Data for Retargeting




         Automotive                                        Business/Finance
           81MM                                                 196MM
          searches                                             searches

                                                  13 Billion
                                                  Searches
             Travel                                            Shopping
            206MM                                                1.9B
           searches                                            searches




                © comScore, Inc.   Proprietary.       26
Key Takeaways


•   Search continues to grow as it becomes more and more ingrained in our
    daily lives
•   Understanding search intent is critical to your marketing efforts
•   While there are a variety of ways to determine intent, non-search engine
    searching offers strong indicators
•   The most optimal time to reach customers is AFTER they’ve searched or
    signaled intent
•   Billions of searches occur beyond the search engine
•   Develop a retargeting strategy for non-search engine data
•   Understand sources of data and where true intent is found
•   Key verticals for search retargeting include: Finance, Travel, Retail, Auto



                    © comScore, Inc.   Proprietary.   27
Thank you!


 Eli Goodman
 egoodman@comscore.com
 @LosBuenos


 James Green
 James@magnetic.is
 @jamesANGreen




          © comScore, Inc.   Proprietary.   28

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Beyond Search Engines: The Brave New World of Retargeting Data

  • 1. Beyond Search Engines: The Brave New World of Retargeting Data Eli Goodman, Media Evangelist, comScore, Inc. @LosBuenos James Green, CEO, Magnetic @jamesANGreen *A copy of today’s presentation will be sent to all attendees within 48 hours
  • 2. Our Presenters Eli Goodman James Green Media Evangelist CEO comScore, Inc. Magnetic © comScore, Inc. Proprietary. 2
  • 3. comScore Customer Knowledge Platform: A granular 360° view of the multitude of online activities for 2 million global users Designed to be representative of the total online population. © comScore, Inc. Proprietary. 3 TRUSTe certified for information privacy & security.
  • 4. Magnetic Combines the Intent of Search with Scale from Display Search retargeting focuses on targeting customers with display advertising based on user search history 1 2 3 4 USER SEARCHES USER CONSIDERS OPTIONS USER SEES TARGETED AD USER CONVERTS For “iPhone” or iPhone, Droid, BlackBerry, for iPhone when in Visits Apple.com, “phone” Palm Pre consideration mode checks out products, purchases iPhone © comScore, Inc. Proprietary. 4
  • 5. Agenda • State of Search • Searcher Intent • Search Engines vs. Non Search Engines • Understanding the Search Experience • Reaching Consumers with Marketing Messages • Beyond Google & Search Engines • New Data Insights for Retargeting © comScore, Inc. Proprietary. 5
  • 6. 28.5 billion searches: 7% year-over-year growth qSearch 2.0: Trends in the Search Market: Total Searches This Year Total U.S. Searches for all qSearch properties (Billions) Change vs. January-11 28.3 28.3 29.5 28.5 +7% 26.7 26.7 27.2 26.6 27.4 27.3 27.1 24.3 25.6 Jan-11 Apr-11 Jul-11 Oct-11 Jan-12 © comScore, Inc. Proprietary. 6 Source: comScore qSearch 2.0
  • 7. Search growth is driven by both increased intensity and searchers qSearch 2.0: Trends in the Search Market: Total Unique Searchers & Search Intensity Unique Searchers (MM) vs. Search Intensity Change vs. January-11 130.5 400.0 122.5 124.3 121.2 124.1 123.2 120.4 124.5 124.8 125.7 120.5 118.0 112.7 +4% 120.0 350.0 300.0 100.0 Searches Per Searcher 250.0 221.7 216.1 217.7 217.0 218.5 219.1 220.9 221.7 224.7 227.5 226.7 226.4 226.7 80.0 200.0 +2% 60.0 150.0 40.0 100.0 Unique Searchers 50.0 20.0 - - Jan-11 Apr-11 Jul-11 Oct-11 Jan-12 © comScore, Inc. Proprietary. 7 Source: comScore qSearch 2.0
  • 8. Search engines account for the majority of searches at 18.7 billion searches in January 2012 qSearch 2.0: Trends in the Search Market: Search Engines vs. Non-Search Engines Alternative search properties maintain strong growth: this includes search at portals, directories, resources, multimedia, and social networking sites. Total U.S. Searches (Billions) Total Searches Non-Search Engines Change vs. January-11 Search Engines 29.5 28.3 28.3 28.5 26.7 26.7 27.2 26.6 27.4 27.3 27.1 25.6 24.3 +7% 9.2 9.6 10.4 9.9 9.5 9.4 9.6 9.3 9.6 9.4 8.9 8.9 8.6 +3% 17.2 17.3 17.6 17.3 17.8 17.9 18.1 19.2 18.7 19.1 18.7 +9% 15.7 16.7 Jan-11 Feb-11 Mar-11 Apr-11 May-11 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 Nov-11 Dec-11 Jan-12 “Search Engines” defined as properties falling under the Search/Navigation category in qSearch © comScore, Inc. Proprietary. 8 Source: comScore qSearch 2.0
  • 9. Among the top alternative search properties, eBay leads the pack with 801MM searches qSearch 2.0: Alternative Search Properties: Searches Alternative Search Properties: Searches (MM) Change vs. January-11 900 800 800.8 -6% eBay 700 705.0 +8% craigslist, inc. 600 500 400 365.6 +42% Amazon Sites 350.4 300 -43% Facebook.com 200 159.6 100 -10% Apple Inc. 0 Jan-11 Apr-11 Jul-11 Oct-11 Jan-12 © comScore, Inc. Proprietary. 9 Source: comScore qSearch 2.0
  • 10. Amazon, eBay, Apple, and Craigslist show increases in searcher base from a year ago qSearch 2.0: Alternative Search Properties: Unique Searchers Alternative Search Properties: Unique Searchers (MM) Change vs. January-11 80 70 -21% Facebook.com 60 50.9 +11% eBay 50 50.1 49.3 40 +28% Amazon Sites 38.2 30 +4% craigslist, inc. 20 16.3 10 +5% Apple Inc. 0 Jan-11 Apr-11 Jul-11 Oct-11 Jan-12 © comScore, Inc. Proprietary. 10 Source: comScore qSearch 2.0
  • 11. Interpreting Intent Why it’s difficult but important.  Why it’s difficult – Imagine a stranger walks up to you and utters two words completely out of context, then stares and waits for a response.  Why it’s important – Obvious: Present results that are relevant to what the user is trying to accomplish “iPod” vs. “iPod support” “Chicago” the city vs. “Chicago” the musical – Increasingly Important: Vertically specialized presentations © comScore, Inc. Proprietary. 11
  • 12. Search engines are constantly looking for ways to interpret and respond to intent  How it’s done by the engines – Algorithmically Historical query and click logs User-level data Keyword analysis – Conversationally Search suggestions Query refinement © comScore, Inc. Proprietary. 12
  • 13. All the major web search engines have developed technologies to better elicit intent from users Fairly ambiguous query. Product research? Price? Location? Support? Category level refinements These are all attempts by the engine to Query logs “converse” with the user to better understand intent Search history © comScore, Inc. Proprietary. 13
  • 14. If engines are confident they understand intent, they can present specialized results © comScore, Inc. Proprietary. 14
  • 15. A true analysis of search intent should include ALL search activity on the web  Web search – Still (and probably always) the 800 pound gorilla  Search channels  Site/specialized search © comScore, Inc. Proprietary. 15
  • 16. Searches on Non-Search Engines are up to 14% longer than those on Search Engines 3.7 3.6 3.5 3.4 3.3 14% Difference Non Search Engine 3.2 Search Engines 3.1 3 2.9 Greater specificity while searching equates to deeper funnel stages Intent becomes easier to determine the more specific you are with your search © comScore, Inc. Proprietary. 16 Source: comScore qSearch June 2010
  • 17. Shopping Search over-indexes heavily on Non-Search Engines 35% 46% Non-Search Engines 65% Search Engines 54% All Searches Shopping Searches © comScore, Inc. Proprietary. 17
  • 18. Travel search also gathers more than its fair share 35% 40% Non-Search Engines Search Engines 65% 60% All Searches Travel Searches © comScore, Inc. Proprietary. 18
  • 19. New Searching on Search Engines Dominated by Brands Non-Search Engine news searching is solely story related © comScore, Inc. Proprietary. 19
  • 20. Agenda • State of Search • Searcher Intent • Search Engines vs. Non Search Engines • Understanding the Search Experience • Reaching Consumers with Marketing Messages • Beyond Google & Search Engines • New Data Insights for Retargeting © comScore, Inc. Proprietary. 20
  • 21. The Age of Data-Driven Advertising © comScore, Inc. Proprietary. 21
  • 22. Understand Your Search Experience 1 What was your last search? 3 What site did your search lead you to? 2 Where did you initiate the search? 4 Did you search again? Flat Screen TV Samsung PN43E450 © comScore, Inc. Proprietary. 22
  • 23. When Can Marketers Reach Their Audience? Product research, Brand research, reviews, prices product information New flat screen tv Samsung PN43E450 Initial search Consideration Phase Revised Search Retargeting Opportunity © comScore, Inc. Proprietary. 23
  • 24. Looking Beyond Google Search Engines* Vertical Sites Search Shopping Comparison Data E-Commerce * Top five search engine entities, comScore 2012 © comScore, Inc. Proprietary. 24
  • 25. Search Environments Search Data * Top five search engine entities, comScore 2012 © comScore, Inc. Proprietary. 25
  • 26. Search Data for Retargeting Automotive Business/Finance 81MM 196MM searches searches 13 Billion Searches Travel Shopping 206MM 1.9B searches searches © comScore, Inc. Proprietary. 26
  • 27. Key Takeaways • Search continues to grow as it becomes more and more ingrained in our daily lives • Understanding search intent is critical to your marketing efforts • While there are a variety of ways to determine intent, non-search engine searching offers strong indicators • The most optimal time to reach customers is AFTER they’ve searched or signaled intent • Billions of searches occur beyond the search engine • Develop a retargeting strategy for non-search engine data • Understand sources of data and where true intent is found • Key verticals for search retargeting include: Finance, Travel, Retail, Auto © comScore, Inc. Proprietary. 27
  • 28. Thank you! Eli Goodman egoodman@comscore.com @LosBuenos James Green James@magnetic.is @jamesANGreen © comScore, Inc. Proprietary. 28

Editor's Notes

  1. Each site represents a destination where consumers look for information