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Display 2.0 – Arrival of Real Time Bidding


 Satish Kadu
 VP & Business Head (ATOM), Komli Media      Ad:tech, 2012
Story-Line for Today

1. Display 1.0

2. Display 2.0 – Real Time Bidding as the Game Changer

3. RTB and Indian Online Advertising Industry

4. Atom – RTB enabled Ad Platform from Komli Media

5. Feedback, Questions, Comments




2
Display 1.0 = दखावा ?
High on Promise,
But Low on Delivery…




  3                    KOMLI CONFIDENTIAL
Display 1.0 = दखावा ?
One Price For
    All ?
                 Differential product pricing based on
                  value is the norm everywhere.

                 Then why one flat CPM rate for all
                  impressions? (that lowers ROI).

                 CPM should be based on ad
                  impression’s likelihood to serve
                  campaign objective – based on TG fit,
                  intent, context etc.

                 Every impression is unique! Why not
                  “pay per impression” instead of CPM!

4
Display 1.0 = दखावा ?
One Price For   Inefficient
    All ?       Targeting!


                         Buying without Audience Targeting 
                          Looking for a needle in the haystack…

                         Audience “data” lying in various silos
                          and in different forms. Not useful for
                          targeting at scale.




5
Display 1.0 = दखावा ?
One Price For   Inefficient
                                    Lack of Scale
    All ?       Targeting!


                         Operating across disparate ad
                          platforms leads to

                               Audience Duplication
                               Lack of scale for re-targeting
                               Loss of cross channel
                                attribution




6
Display 1.0 = दखावा ?
One Price For   Inefficient                           Low
                                 Lack of Scale
    All ?       Targeting!                        Transparency


                         “Half of my budget gets wasted… I
                          don't know which half”
                         Blind/Opaque Buy: Lack of
                          transparency on pricing, audience
                          reached, inventory quality.
                         Inability to capture customer insight
                          and act upon it at real-time to get
                          maximum benefit




7
Display2.0… Real Time Bidding
Justice Delivered… ताबडतोब




   8                   KOMLI CONFIDENTIAL
What is Real Time Bidding?

    Massive Scale Display Media
    Auctioned on a per Impression Basis


RTB is an automated process
 which allows media buyers
 to evaluate, bid on and purchase ad inventory
 on a per impression basis




9
Display 2.0 Value Chain with RTB



Publishers
                                                      Advertisers
             Ad Networks


Publishers                 Ad Exchange/
                                            RTB
                                SSP       Enabled       Agencies
                           Ad Exchange/      Ad
Publishers                      SSP       Platform
             Ad Networks
                                                     Ad Networks
Publishers




 10
How the RTB magic works?

                    User browses a
                      web page



                          Entire
                        process is
     Optimized ad                     Bids called for
                        completed
      delivered        in less than    RTB auction
                          50ms!




                     Winning bid
                      accepted

11
Optimum Bid-Value Decision using Predictive Models

                              Probability of
      RTB Bid                    Success                    Campaign
                                                              Target
       Value                   (Desired Action –   X
                                e.g. Click, Lead            (e.g. CPC, CPA)
                                  Conversion)


Machine Learning models analyzing Terabytes of data queried in real time

                                CPC Goal Rs. 10
Scenario 1:                                   Scenario 2:
Impression happening in rush hour             Impression happening at leisure
Click probability = 10%                       Click probability = 80%
Fair Value = Rs. 1                            Fair Value = Rs. 8
Bid = Rs. 1                                   Bid = Rs. 10


 12
RTB – Fundamental Shift in Display Advertising


                   Before RTB

                                 Buy only impressions
                                  that matter and pay
                                exactly what it’s worth!
                   After RTB




 13
RTB – Fundamental Shift in Display Advertising


                           In real-time, machine
                               driven bidding!
                           (process completes in less
                                  than 50ms)




 14
RTB – Fundamental Shift in Display Advertising

                                                Reach precise audience!
                                                 Leveraging audience data
                                                and likelihood to convert in
                                                          real time.
Right ad to the right user at the right time!




   15
RTB – Fundamental Shift in Display Advertising


                           Same impression has
                            different value for
  20   30   15   45   33
                           different advertisers!




                                     20   30   15   45   33




 16
A New Way to Target Consumers

  From ‘Buying Websites’



                           Drastically improved
                              targeting and
                             campaign ROI !



 To ‘Buying Audience’


 17
Key Benefits to Advertisers



     Precision              Greater             Optimize
     Targeting         Transparency and        Campaign in
                            Control             Real-Time




 Get actionable customer           Increase Delivery, Reduce
insights at impression level         Wastage, Enhance ROI


18
Key Benefits to Publishers

              Revenue Maximization – Every single
              impression auctioned to the highest bidder




              Unleash the Value of your Audience




              More relevant ad experience for the user



19
Real Time Bidding is Exploding
              RTB Share of Non-Guaranteed Ad Spend (US)
     60%
                                                             50%
     50%
                                                            $5B+
     40%

     30%

     20%                                    15%
     10%                           5%
                0%       1.5%
     0%
               2008      2009     2010      2011           2012+
                                                           2015E
                                               Source: PubMatic white paper



           Science of Search Advertising coming to Display

20
RTB is Super-Hero
But दे स म चलेगा   या?




   21                    KOMLI CONFIDENTIAL
Drivers for RTB Adoption in India




                         Granular audience data
                         is required for success
                                  of RTB




22
Drivers for RTB Adoption in India



                            Threshold scale of
                             demand & supply
                           required for efficient
                              price discovery




23
Drivers for RTB Adoption in India


                          Standardization of rich
                           media ads will drive
                           greater demand and
                            auction efficiency




24
Drivers for RTB Adoption in India



                           Prediction Quality in
                           Programmatic Buying
                            (low win volume vs.
                               winner’s curse)




25
ATOM – India’s 1st RTB enabled ad platform




  26            KOMLI CONFIDENTIAL
ATOM 2.0 – Reach Precise Audience at Scale

       Access Massive Inventory   Target Specific Audiences




Increase Transparency & Control   Improve Delivery & Optimization


  27
RTB – A Case Study from ATOM


                         79%                                           71%
Advertiser




                   Lift in Conversion Rate                      Lift in Click Through Rate

                  An e-commerce Advertiser                    A Software Product Advertiser
Publisher




                                                 70%
                                               Lift in eCPM

                                         An Entertainment Publisher


             28
Summing Up…




 29           KOMLI CONFIDENTIAL
RTB - Driving force behind Display 2.0



                       Ability to reach precise audience at scale.


                       Auction-based buying reflects true market
                       pricing.

                       Data-driven bid optimization dramatically
                       improves campaign performance.



     If you are interested in buying on RTB, mail us at atom@komli.com

30
RTB is surely the next super-hit Block Buster!




Come… Fall in Love… All Over Again… With Display Advertising! 

 31
Questions, Comments, Feedback, Discussions




                   Thank you!




32

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Display Advertising 2.0 - Arrival of Real Time Bidding

  • 1. Display 2.0 – Arrival of Real Time Bidding Satish Kadu VP & Business Head (ATOM), Komli Media Ad:tech, 2012
  • 2. Story-Line for Today 1. Display 1.0 2. Display 2.0 – Real Time Bidding as the Game Changer 3. RTB and Indian Online Advertising Industry 4. Atom – RTB enabled Ad Platform from Komli Media 5. Feedback, Questions, Comments 2
  • 3. Display 1.0 = दखावा ? High on Promise, But Low on Delivery… 3 KOMLI CONFIDENTIAL
  • 4. Display 1.0 = दखावा ? One Price For All ?  Differential product pricing based on value is the norm everywhere.  Then why one flat CPM rate for all impressions? (that lowers ROI).  CPM should be based on ad impression’s likelihood to serve campaign objective – based on TG fit, intent, context etc.  Every impression is unique! Why not “pay per impression” instead of CPM! 4
  • 5. Display 1.0 = दखावा ? One Price For Inefficient All ? Targeting!  Buying without Audience Targeting  Looking for a needle in the haystack…  Audience “data” lying in various silos and in different forms. Not useful for targeting at scale. 5
  • 6. Display 1.0 = दखावा ? One Price For Inefficient Lack of Scale All ? Targeting!  Operating across disparate ad platforms leads to  Audience Duplication  Lack of scale for re-targeting  Loss of cross channel attribution 6
  • 7. Display 1.0 = दखावा ? One Price For Inefficient Low Lack of Scale All ? Targeting! Transparency  “Half of my budget gets wasted… I don't know which half”  Blind/Opaque Buy: Lack of transparency on pricing, audience reached, inventory quality.  Inability to capture customer insight and act upon it at real-time to get maximum benefit 7
  • 8. Display2.0… Real Time Bidding Justice Delivered… ताबडतोब 8 KOMLI CONFIDENTIAL
  • 9. What is Real Time Bidding? Massive Scale Display Media Auctioned on a per Impression Basis RTB is an automated process  which allows media buyers  to evaluate, bid on and purchase ad inventory  on a per impression basis 9
  • 10. Display 2.0 Value Chain with RTB Publishers Advertisers Ad Networks Publishers Ad Exchange/ RTB SSP Enabled Agencies Ad Exchange/ Ad Publishers SSP Platform Ad Networks Ad Networks Publishers 10
  • 11. How the RTB magic works? User browses a web page Entire process is Optimized ad Bids called for completed delivered in less than RTB auction 50ms! Winning bid accepted 11
  • 12. Optimum Bid-Value Decision using Predictive Models Probability of RTB Bid Success Campaign Target Value (Desired Action – X e.g. Click, Lead (e.g. CPC, CPA) Conversion) Machine Learning models analyzing Terabytes of data queried in real time CPC Goal Rs. 10 Scenario 1: Scenario 2: Impression happening in rush hour Impression happening at leisure Click probability = 10% Click probability = 80% Fair Value = Rs. 1 Fair Value = Rs. 8 Bid = Rs. 1 Bid = Rs. 10 12
  • 13. RTB – Fundamental Shift in Display Advertising Before RTB Buy only impressions that matter and pay exactly what it’s worth! After RTB 13
  • 14. RTB – Fundamental Shift in Display Advertising In real-time, machine driven bidding! (process completes in less than 50ms) 14
  • 15. RTB – Fundamental Shift in Display Advertising Reach precise audience! Leveraging audience data and likelihood to convert in real time. Right ad to the right user at the right time! 15
  • 16. RTB – Fundamental Shift in Display Advertising Same impression has different value for 20 30 15 45 33 different advertisers! 20 30 15 45 33 16
  • 17. A New Way to Target Consumers From ‘Buying Websites’ Drastically improved targeting and campaign ROI ! To ‘Buying Audience’ 17
  • 18. Key Benefits to Advertisers Precision Greater Optimize Targeting Transparency and Campaign in Control Real-Time Get actionable customer Increase Delivery, Reduce insights at impression level Wastage, Enhance ROI 18
  • 19. Key Benefits to Publishers Revenue Maximization – Every single impression auctioned to the highest bidder Unleash the Value of your Audience More relevant ad experience for the user 19
  • 20. Real Time Bidding is Exploding RTB Share of Non-Guaranteed Ad Spend (US) 60% 50% 50% $5B+ 40% 30% 20% 15% 10% 5% 0% 1.5% 0% 2008 2009 2010 2011 2012+ 2015E Source: PubMatic white paper Science of Search Advertising coming to Display 20
  • 21. RTB is Super-Hero But दे स म चलेगा या? 21 KOMLI CONFIDENTIAL
  • 22. Drivers for RTB Adoption in India Granular audience data is required for success of RTB 22
  • 23. Drivers for RTB Adoption in India Threshold scale of demand & supply required for efficient price discovery 23
  • 24. Drivers for RTB Adoption in India Standardization of rich media ads will drive greater demand and auction efficiency 24
  • 25. Drivers for RTB Adoption in India Prediction Quality in Programmatic Buying (low win volume vs. winner’s curse) 25
  • 26. ATOM – India’s 1st RTB enabled ad platform 26 KOMLI CONFIDENTIAL
  • 27. ATOM 2.0 – Reach Precise Audience at Scale Access Massive Inventory Target Specific Audiences Increase Transparency & Control Improve Delivery & Optimization 27
  • 28. RTB – A Case Study from ATOM 79% 71% Advertiser Lift in Conversion Rate Lift in Click Through Rate An e-commerce Advertiser A Software Product Advertiser Publisher 70% Lift in eCPM An Entertainment Publisher 28
  • 29. Summing Up… 29 KOMLI CONFIDENTIAL
  • 30. RTB - Driving force behind Display 2.0 Ability to reach precise audience at scale. Auction-based buying reflects true market pricing. Data-driven bid optimization dramatically improves campaign performance. If you are interested in buying on RTB, mail us at atom@komli.com 30
  • 31. RTB is surely the next super-hit Block Buster! Come… Fall in Love… All Over Again… With Display Advertising!  31
  • 32. Questions, Comments, Feedback, Discussions Thank you! 32