CelebTrack - PTM & Hansa Research

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    CelebTrack - PTM & Hansa Research - Presentation Transcript

    1. A Initiative 1
    2. Reason, Methodology and Conduct 2
    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
    7. Science 7
    8. Yardstick
    9. We want to be IRS 9
    10. What? Research Coverage 10
    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 • 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 • Macho/Feminine • Glamorous • Sexy • Cute • Stylish/Trendy • Cool • Handsome/Beautiful • Energetic • Youthful • Healthy/Fit • Tough/Has stamina 17
    18. Image parameters - Character • Global • Trustworthy • Family Oriented • Funny/Humourous • Youthful • Bold/Daring • Intelligent • Innovative/Creative • Techsavvy • Dynamic • Modern • Grounded/Humble • Distinguished/Classy • 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. • Nationally • Regionally Representing most of India • Locally 21
    22. The leaders -To grow the industry -To create knowledge 22
    23. How? The Methodology 23
    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
    27. For WHOM? The beneficiaries 27
    28. Corporates Celebrities 28
    29. Who amongst Corporates / Brands • Who have used celebrities in the past or use them currently • Have competition that uses celebrities • Have a Multi-brand portfolio • Use local activation and promotions 29
    30. Charter Subscribers 30
    31. Why Celebrities? • For knowing their ranking and relative strengths • For tracking progress • For pricing themselves for endorsements, appearances • 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

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