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A       Initiative



    1
Reason, Methodology and Conduct




               2
Executive Summary

                       Currency for an almost Rs. 1000Cr endorsement +
  WHY               industry that currently works on gut & anecdotal learning

           Industry’s first large scale research that periodically tracks Celebrity Power
 WHAT                             on factors more than just popularity

              A partnership of 2 leaders, PTM & Hansa, in the Talent & Research
  WHO                  space, to grow the industry and create knowledge

                   A pan-India track of more than 400 celebrities over 10800
  HOW                        respondents across 2 waves annually

                     Advertisers who currently use or are considering using
FOR WHOM                       talent for their ATL/ BTL initiatives


HOW MUCH                        Annual subscription of 10.8 Lakhs




                                      3
Why CelebTrackTM?

    The purpose




         4
Endorsements – a high stake game



Lack of numeric data & objectivity leads to selection largely on
                           gut feel




            Personality fit of star with brand is subjective




        Trade-off between popularity & personality association for the
                                   brand




                                     5
C
    U
    R
    R
    E
    N
    C
    Y
6
Science
7
Yardstick
We want to be




   IRS




      9
What?

Research Coverage




       10
Widest, largest, deepest
celeb research in the world




     11
A first ever research of such
magnitude to measure Celebrity
             Power
Measures Celebrity Power not just on popularity




                                 Popularity
                          Recognition and Likeability



 Media Presence                                           Image Attributes
 Width and quality of                CPS            To enable scientific mapping
exposure in the media                                of brand & star attributes


    Power of Persuasion                             Over Exposure
    Celebrity influence over a
                                                        Fatigue factor
         category/ brand




                                      13
All scores merge




   Celebrity
    Power
    Score




       14
Celeb Power Score

β€’   CPS = f [Popularity + Image + Persuasion Power + Media Presence -
    Overexposure]

         Popularity = f [Recognition + Likeability]

         Overall Image = f [Trust/Reliability + 24 other attributes]

         Persuasion power = f [General + category persuasion power]

         Media Presence = f [Reach index + Space Index]




                                        15
The standard weights

Parameter              Sub-parameter         Sub-weight Weight

Popularity             Recognition           33         50

                       Likability            17

Image                  11 physical           8.8        20

                       14 character          11.2

Persuasion             General               8          20

                       6 category specific   12

Media Presence         Exposure              4          10

                       Tonality              6

Celeb Power Score                                       100

Less : Over-exposure                         (17)




             Software allows user-defined weights
                                    16
Image parameters - physical


β€’   Macho/Feminine              β€’   Glamorous
β€’   Sexy                        β€’   Cute
β€’   Stylish/Trendy              β€’   Cool
β€’   Handsome/Beautiful          β€’   Energetic
β€’   Youthful                    β€’   Healthy/Fit
β€’   Tough/Has stamina




                           17
Image parameters - Character


β€’   Global                 β€’   Trustworthy
β€’   Family Oriented        β€’   Funny/Humourous
β€’   Youthful               β€’   Bold/Daring
β€’   Intelligent            β€’   Innovative/Creative
β€’   Techsavvy              β€’   Dynamic
β€’   Modern                 β€’   Grounded/Humble
β€’   Distinguished/Classy   β€’   Savvy/Astute




                               18
Power of Persuasion by category


 Health and Fitness                      Convenience
                                           products



Electronic products/                  Indulgence products
  Home Appliances                       (Once in a while)



    Cosmetics/                         Security for future
  Beauty products                     (for you and family)



                            General


                       19
Covers celebs from..


 Films

                     Music

Television

                  Other Sports


Cricket

             20
β€’   Nationally
β€’   Regionally        Representing most of India
β€’   Locally




                 21
The leaders




-To grow the industry
-To create knowledge

         22
How?

The Methodology




      23
3 step, 4 month process




                  Drawing up of list of 150+ celebrities per market
1   [Individual & Group ranking from experts and consumers of entertainment]




             Quantitative                         Secondary data
2         Primary Research
           [face to face interviews]
                                                 from Eikona, TAM



3                   Validation, Tabulation, Software adaptation




                               24
Over 6000 respondents for Round I

States        Town Classes &Towns Covered        Centres Reported   Sample        States   Town Classes &Towns Covered                     Centers Reported   Sample


              Mumbai                Nashik           Mumbai                                Chennai                       Salem                 Chennai

                                                  Rest of Maha-                            Coimbatore                    Tiruchirappalli
Maharashtra   Nagpur                Aurangabad       rashtra        830                                                                      Rest of TN
                                                                                  TN       Madurai                                                            812
              Ahmedabad             Vadodara
                                                      Gujarat                                                                                Hyderabad
                                                                                           Hyderabad                     Guntur
Gujarat       Surat                                                 430
                                                                                           Vijayawada                    Warangal
              Kolkata                                                                                                                        Rest of AP
                                                   West Bengal                    AP       Visakhapatnam                                                      928
West Bengal   Asansol                                               477
                                                                                           Delhi                         Lucknow                 Delhi
              Ludhiana              Chandigarh
                                                      Punjab                               Patna                         Ghaziabad
Punjab        Amritsar                                              383
                                                                                           Faridabad                     Durg-Bhilai
              Bangalore                                                                                                                     Rest of Hindi
                                                    Karnataka                              Indore                        Ranchi                Belt
Karnataka     Mysore                                                420
                                                                                           Jaipur                        Jodhpur
              Kochi                 Trivandrum                                    Hindi
                                                      Kerala                      Belt     Kanpur                        Gwalior                              1521
Kerala        Kozikhode                                             435




                                                                                       6236 respondents across 39 towns
                                                                                           9 Markets, 14 reporting units



                                                                             25
State of the art software
For WHOM?


The beneficiaries




       27
Corporates        Celebrities




             28
Who amongst Corporates / Brands

β€’   Who have used celebrities in the past or use them
    currently
β€’   Have competition that uses celebrities
β€’   Have a Multi-brand portfolio
β€’   Use local activation and promotions




                                      29
Charter Subscribers




        30
Why Celebrities?


β€’   For knowing their ranking and relative strengths
β€’   For tracking progress
β€’   For pricing themselves for endorsements, appearances
β€’   For competitive intelligence
How much?

           10.8 Lakhs per year*
         Cuts and chops available


A fraction of what brands spend on ambassadors
 And then on media behind ads featuring them

       *+Taxes
                     32
End of Document

  Annex Follows




       33

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CelebTrack - PTM & Hansa Research

  • 1. A Initiative 1
  • 3. Executive Summary Currency for an almost Rs. 1000Cr endorsement + WHY industry that currently works on gut & anecdotal learning Industry’s first large scale research that periodically tracks Celebrity Power WHAT on factors more than just popularity A partnership of 2 leaders, PTM & Hansa, in the Talent & Research WHO space, to grow the industry and create knowledge A pan-India track of more than 400 celebrities over 10800 HOW respondents across 2 waves annually Advertisers who currently use or are considering using FOR WHOM talent for their ATL/ BTL initiatives HOW MUCH Annual subscription of 10.8 Lakhs 3
  • 4. Why CelebTrackTM? The purpose 4
  • 5. Endorsements – a high stake game Lack of numeric data & objectivity leads to selection largely on gut feel Personality fit of star with brand is subjective Trade-off between popularity & personality association for the brand 5
  • 6. C U R R E N C Y 6
  • 9. We want to be IRS 9
  • 11. Widest, largest, deepest celeb research in the world 11
  • 12. A first ever research of such magnitude to measure Celebrity Power
  • 13. Measures Celebrity Power not just on popularity Popularity Recognition and Likeability Media Presence Image Attributes Width and quality of CPS To enable scientific mapping exposure in the media of brand & star attributes Power of Persuasion Over Exposure Celebrity influence over a Fatigue factor category/ brand 13
  • 14. All scores merge Celebrity Power Score 14
  • 15. Celeb Power Score β€’ CPS = f [Popularity + Image + Persuasion Power + Media Presence - Overexposure] Popularity = f [Recognition + Likeability] Overall Image = f [Trust/Reliability + 24 other attributes] Persuasion power = f [General + category persuasion power] Media Presence = f [Reach index + Space Index] 15
  • 16. The standard weights Parameter Sub-parameter Sub-weight Weight Popularity Recognition 33 50 Likability 17 Image 11 physical 8.8 20 14 character 11.2 Persuasion General 8 20 6 category specific 12 Media Presence Exposure 4 10 Tonality 6 Celeb Power Score 100 Less : Over-exposure (17) Software allows user-defined weights 16
  • 17. Image parameters - physical β€’ Macho/Feminine β€’ Glamorous β€’ Sexy β€’ Cute β€’ Stylish/Trendy β€’ Cool β€’ Handsome/Beautiful β€’ Energetic β€’ Youthful β€’ Healthy/Fit β€’ Tough/Has stamina 17
  • 18. Image parameters - Character β€’ Global β€’ Trustworthy β€’ Family Oriented β€’ Funny/Humourous β€’ Youthful β€’ Bold/Daring β€’ Intelligent β€’ Innovative/Creative β€’ Techsavvy β€’ Dynamic β€’ Modern β€’ Grounded/Humble β€’ Distinguished/Classy β€’ Savvy/Astute 18
  • 19. Power of Persuasion by category Health and Fitness Convenience products Electronic products/ Indulgence products Home Appliances (Once in a while) Cosmetics/ Security for future Beauty products (for you and family) General 19
  • 20. Covers celebs from.. Films Music Television Other Sports Cricket 20
  • 21. β€’ Nationally β€’ Regionally Representing most of India β€’ Locally 21
  • 22. The leaders -To grow the industry -To create knowledge 22
  • 24. 3 step, 4 month process Drawing up of list of 150+ celebrities per market 1 [Individual & Group ranking from experts and consumers of entertainment] Quantitative Secondary data 2 Primary Research [face to face interviews] from Eikona, TAM 3 Validation, Tabulation, Software adaptation 24
  • 25. Over 6000 respondents for Round I States Town Classes &Towns Covered Centres Reported Sample States Town Classes &Towns Covered Centers Reported Sample Mumbai Nashik Mumbai Chennai Salem Chennai Rest of Maha- Coimbatore Tiruchirappalli Maharashtra Nagpur Aurangabad rashtra 830 Rest of TN TN Madurai 812 Ahmedabad Vadodara Gujarat Hyderabad Hyderabad Guntur Gujarat Surat 430 Vijayawada Warangal Kolkata Rest of AP West Bengal AP Visakhapatnam 928 West Bengal Asansol 477 Delhi Lucknow Delhi Ludhiana Chandigarh Punjab Patna Ghaziabad Punjab Amritsar 383 Faridabad Durg-Bhilai Bangalore Rest of Hindi Karnataka Indore Ranchi Belt Karnataka Mysore 420 Jaipur Jodhpur Kochi Trivandrum Hindi Kerala Belt Kanpur Gwalior 1521 Kerala Kozikhode 435 6236 respondents across 39 towns 9 Markets, 14 reporting units 25
  • 26. State of the art software
  • 28. Corporates Celebrities 28
  • 29. Who amongst Corporates / Brands β€’ Who have used celebrities in the past or use them currently β€’ Have competition that uses celebrities β€’ Have a Multi-brand portfolio β€’ Use local activation and promotions 29
  • 31. Why Celebrities? β€’ For knowing their ranking and relative strengths β€’ For tracking progress β€’ For pricing themselves for endorsements, appearances β€’ For competitive intelligence
  • 32. How much? 10.8 Lakhs per year* Cuts and chops available A fraction of what brands spend on ambassadors And then on media behind ads featuring them *+Taxes 32
  • 33. End of Document Annex Follows 33