A presentation to symbiosis institute of international business

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A presentation to symbiosis institute of international business

  1. 1. A presentation to Symbiosis Institute ofInternational Business 13th October 2012 1
  2. 2. Media Research How India measures its media consumption!2
  3. 3. Presentation flow Research terms Print research Television research Radio Research How Media Planners use research data
  4. 4. But before we begin…. Why do we need media research???
  5. 5. What is the size of the Advertising investments in India?
  6. 6. Source: Pitch Madison Media Advertising Outlook 2012
  7. 7. Tracking the last 11 years 26.7 28013 25594 21.7 22.0 17.1 23646 15.1 20717 12.2 18670 11.0 17690 8.6 7.6 14505 11915 10354 9329 8311 -9.9 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Spends in INR croresSource: Pitch Madison Media Advertising Outlook 2012
  8. 8. India is the 12th largest advertising market France Brazil Australia 4.8% 4.7% 4.0% UK Canada 6.6% 3.8% Italy 3.3% China Russia 7.3% 2.9% India 1.4% Germany 7.4% Japan 12.7% US 41.0% 5 countries – US, Japan, Germany, China, UK account for 75 % of the marketExtracted from Warc International Ad Forecast 2011/2012 (November)
  9. 9. -20 20% change y/y India is the 4th fastest growing market Current prices, y/y % change 2011 2012 Russia 19.8 19.9 China 14.1 16.3 Brazil 9.5 11.2 India 7.6 8.6 Canada 5.4 4.3 Australia 3.5 5.2 France 2.6 2.4 Germany 2.5 2.6 US 2.5 4.6 UK 2.1 4.5 Italy -0.7 2.7 Spain -0.7 2.5 Japan -3.2 2.2 Global* 4.4 6.3 Extracted from Warc
  10. 10. Indian Ad market – 2011 Contribution Outdoor, 5.1 Internet, 3.8 Cinema, 0.5 Radio, 3.5 TV, 44.8 Press, 42.2 25,594 croresSource: Pitch Madison Media Advertising Outlook 2012
  11. 11. Indian Ad market – 2011 & 2012 Contribution Cinema, Internet, Cinema, Outdoor, Internet, 0.6 Outdoor, 5.3Radio, 0.5 5.1 3.8 Radio, 4.9 3.5 3.4 TV, 44.8 TV, 45.1 Press, Press, 42.2 40.8 25,594 crores 28,013 crores 2011 2012
  12. 12. Media Map High Measurability SMS TV Personal Contact Internet Newspapers Magazines RadioPersonal Mass Loose Inserts Direct Mailers Events Road Shows Word-of-mouth Low Measurability 13
  13. 13. + Topics to be covered • Generic Research definitions • Research definitions for Print • How Print readership is measured • Auditing print advertising • Product ownership and readership • Using readership data in media – To determine media mix – The making of a Print plan – Using TGI for psychographics 14
  14. 14. + Topics to be covered • Generic Research definitions • Research definitions for Print • How Print readership is measured • Auditing print advertising • Product ownership and readership • Using readership data in media – To determine media mix – The making of a Print plan – Using TGI for psychographics 15
  15. 15. Generic research terms16
  16. 16. The media process Environment Competition Marketing Mix Media GRPs Sales of the Brand Reach Intent/ Creative Awareness Consumer Disposition SOV Duration of Ad No. of Executions Other Media 17
  17. 17. A host of things to manage and measure Media Agency Client Media GRPs Reach/Frequency Awareness Intent Sales Ad-agency 18
  18. 18. Scope of this session Media Agency Client Media GRPs Reach/Frequency Awareness Intent Sales Ad-agency 19
  19. 19. The business of communication is all about the CONSUMER!20
  20. 20. + Segmenting Measuring Consumers Media Studying their disposition 21
  21. 21. + Why do we need to segment consumers? Segmenting Measuring Consumers Media Studying their media habits 22
  22. 22. + Why segment? • All products are not meant for everyone • All consumers don’t consume a product uniformly • Different brands appeal to different types of consumers • Brands have a positioning that they want to register in select consumer mindsets To focus on those who will give the best yield = > Avoid wastage 23
  23. 23. + Research terms • Household – A person living alone or a group of persons staying together & sharing food from the same kitchen • CWE – The member of the family who makes highest contribution to the HH expenditure • Housewife – The female or the male member of the HH who is chiefly responsible for HH tasks and decides what should be purchased for the HH, for products such as soaps/ toothpastes, etc. • MHI – The sum of income of all members of the family 24
  24. 24. + Audience • ‘Audience’ is usually often referred to as the Target Audience or Target Group for a particular brand – Definition • The demographic group that has been identified as the key consumer group for the brand. • All marketing/advertising activity is concentrated on reaching/appealing to this group. 25
  25. 25. + Universe • Universe – Definition • Universe is the actual number of individuals within the defined target audience – In Practice • The All India, Males, 25+, SEC BC universe is 5,000,000 26
  26. 26. + Media v/s vehicle – TV . . . . . . Programs – Print . . . . . Publications (Dailies & Magazines) – Radio . . . . . Programs – Outdoor . . . . Sites – Internet . . . . Portals/ Sites 27
  27. 27. + How do we estimate an audience? • Physical count – Census • Population Census in India – Done every decade – www.censusofindia.com • Covers : – Population of a region – Gender breakup – Age of population – Literacy levels 28
  28. 28. + How do we estimate an audience? • Sampling & extrapolation • Assuming sample to be homogeneous, extrapolate to the entire population 29
  29. 29. + What factors determine the propensity to purchase products? • MHI? • Age? • Presence of children? • Disposable income? • Psychographic factors? • Occupation? • Education? • Type of house? 30
  30. 30. SEC (Socio Economic Classification)Understanding Basic Research Terms
  31. 31. + Urban & Rural • According to the Census of India 1991, the following criteria were adopted for treating a place as urban – All statutory towns, i.e., all places with a municipality, corporation, cantonment board or notified town area committee, etc. – All other places which satisfied the following criteria : • A minimum population of 5000 • At least 75% of the male working population engaged in non- agricultural pursuits, and • A density of population of atleast 400 per sq km • Apart from these, the outgrowths of cities and towns have also been treated as urban. • All areas not identified as Urban, are classified as Rural 32
  32. 32. The classic SEC grid Education of Chief Wage Earner / Main Income Earner (MIE) Lit. no Some Grad./ Post- Grad./ sch/school College Grad.OCCUPATION Illiterate Sch 5-9 yrs SSC/HSC Post-Grad. upto 4 but not Professiona General years Grad. lUnskilled Workers E2 E2 E1 D D D DSkilled Workers E2 E1 D C C B2 B2Petty Traders E2 D D C C B2 B2Shop Owners D D C B2 B1 A2 A2Businessmen/ Industrialists with no ofemployees: None D C B2 B1 A2 A2 A11-9 C B2 B2 B1 A2 A1 A110 + B1 B1 A2 A2 A1 A1 A1Self employed Professional D D D B2 B1 A2 A1Clerical / Salesman D D D C B2 B1 B1Supervisory level D D C C B2 B1 A2Officers/ Executives Junior C C C B2 B1 A2 A2Officers/Executives Middle/ Senior B1 B1 B1 B1 A2 A1 A1 33
  33. 33. Rural SEC Type of House Education of CWE Pucca Semi Pucca Kuccha Illiterate R4 R4 R4 Self learning / No School R 3 R4 R4 Upto Class 4 R3 R3 R4 Upto Class 4 to 9 R3 R3 R4 SSC/HSC R2 R3 R3 College R1 R2 R3 Graduate / Gen PG R1 R2 R3 Prof Degree R1 R2 R3 34
  34. 34. The inadequacies of the existing system
  35. 35. + What SEC does this gentleman belong to? 36
  36. 36. + 37
  37. 37. + 38
  38. 38. Courtesy : Sumegha Rao39
  39. 39. 40
  40. 40. 41
  41. 41. 42
  42. 42. 43
  43. 43. 44
  44. 44. 45
  45. 45. 46
  46. 46. 47
  47. 47. 48
  48. 48. 49
  49. 49. 50
  50. 50. 51
  51. 51. 52
  52. 52. 53
  53. 53. 54
  54. 54. 55
  55. 55. 56
  56. 56. + Why advertising is such a wonderful business? 57
  57. 57. + Topics to be covered • Generic Research definitions • Research definitions for Print • How Print readership is measured • Auditing print advertising • Product ownership and readership • Using readership data in media – To determine media mix – The making of a Print plan – Using TGI for psychographics 58
  58. 58. + Print terms • Circulation – The average net paid sales of publications over a period of 6 months • Readership – The total number of persons who are exposed to a publication as distinguished from the circulation or the number of copies distributed • Average Issue Readership (AIR) – The no. of people who have read any issue of the publication within a specified time interval which is equal to the periodicity of the publication • Claimed Readership (CR) – No. of people who claim to have read a publication 59
  59. 59. + • Readers per Copy – Readership/ Circulation` • CPT (Cost per Thousand) – Cost / Readership in’000 60
  60. 60. + Topics to be covered • Generic Research definitions • Research definitions for Print • How Print readership is measured • Auditing print advertising • Product ownership and readership • Using readership data in media – To determine media mix – The making of a Print plan – Using TGI for psychographics 61
  61. 61. + How it all began? • The Audit Bureau of Circulation • Measured Circulation – not readers • Reported a six monthly figure • Did not report in case not approached • Enter Readership • The NRS • The IRS 62
  62. 62. + The procedure • The universe for IRS has been defined as the total resident urban and rural population of India aged 12 years and over • The survey excludes the off-shore territories such as Lakshadweep and Andaman & Nicobar islands. North Eastern states and J & K (excluding Srinagar) are also excluded from the survey • The annual sample spread exceeds 2.5 lac respondents with continuous fieldwork spread across 10 months of the year • All 1 Lakh+ towns are sampled • All publication towns and districts are sampled in the four rounds Remaining towns and non-publication districts are randomly sampled • Rural Sampling: Once a district is selected, 2 Talukas from the district are randomly sampled 63
  63. 63. Administer individualWithin city segment Administer HH questionnaire toby electoral wards questionnaire to HW selected respondent Within HH determine Divide sample by pre-respondent and Back check of the HH electoral wards respondent using the Kish grid Follow Right handRandom selection of Classification and rule for determining starting point Analysis of the HH further houses
  64. 64. + How does the Kisch grid work? Table : Kish grid Number of eligible youth in household 1 2 3 4 5 6 7 8 1 1 1 1 1 1 1 1 1 2 1 2 1 2 1 2 1 2 3 1 2 3 1 2 3 1 2 4 1 2 3 4 1 2 3 4 5 1 2 3 4 5 3 4 5 6 1 2 3 4 5 6 3 6 7 1 2 3 4 5 6 7 4 8 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 65
  65. 65. + Standard Questioning Technique …….. go through this Booklet with me and tell me, for each Publication, roughly how many issues you have read or looked at….. 66
  66. 66. + ….read or looked at • By ‘read or looked at’, I mean not only careful reading but it could also be glancing through its pages. However, just looking at the cover does not mean ‘looking at’. • It does not matter where you may have looked at it, for e.g. a train or in a doctor’s clinic or at a hair dresser’s/ barber’s shop, in an office or a library or at a friend’s place or borrowed it • It does not matter which issue of the publication you have looked at 67
  67. 67. Masthead Readership 68
  68. 68. + Readership Characteristics • Readership – is an individual phenomenon – is an anywhere phenomenon – has a ‘time’ dimension – does not indicate time spent/ intensity of reading – does not account for source of copy 69
  69. 69. What emerges from the data…70
  70. 70. + 71
  71. 71. + Topics to be covered • Generic Research definitions • Research definitions for Print • How Print readership is measured • Auditing print advertising • Product ownership and readership • Using readership data in media – To determine media mix – The making of a Print plan – Using TGI for psychographics 87
  72. 72. + A word on MAP 88
  73. 73. + Topics to be covered • Generic Research definitions • Research definitions for Print • How Print readership is measured • Auditing print advertising • Product ownership and readership • Using readership data in media – To determine media mix – The making of a Print plan – Using TGI for psychographics 89
  74. 74. Lets make a Print plan90
  75. 75. Introducing TGI91
  76. 76. + • The need for TGI • The additional data coverage • The limitations 92
  77. 77. + About TGI • A study established across 36 countries • From 2001, four rounds completed • Last round field work March – July 2007 • Sample size – 29,325 • All Ind 15-55 ABC • Covers: – 200+ categories – 3000+ brands – Media consumption (TV channels by daypart, Radio stations, Print titles) – Over 100 psychographic statements 93
  78. 78. + What it covers • Everything(!) including: – demographics – product consumption - to brand level – detailed expenditure information - to individual items – Media consumption (including Radio, TV, Internet, Press and Outdoors) – financial services – hobbies, leisure and interests – attitudinal statements – information on holidays, travel – working status – ownership information (cars, electronic goods etc) 94
  79. 79. Sample sizesCity Sample City SampleAhmedabad 800 RO AP 1550Bangalore 1000 RO Bihar/ Jhar 750Bhubhaneshwar 500 RO Gujarat 1550Chennai 1000 RO Karnataka 1250Kochi 700 RO Kerala 1000Delhi 1400 MP/ Chattisgarh 1250Hyderabad 1000 RO Maharashtra 1900Kolkatta 1000 RO Orissa 500Luck/Kan 1000 RO Punj/Har 1250Ludhiana 500 Rajasthan 1400Mumbai 1100 RO TN 1950Patna 600 RO UP 2350Pune 800 RO WB 1200 95
  80. 80. + Categories coveredAfter Shave/Sprays/Cologne Face Washes & Scrubs Liquid Soaps for washing handsToilet/Bathing Soaps Fairness & Turmeric Creams Nail Polish/VarnishBleach Foundation (Make Up) Razors & Hair Removing ProductsBlushers & Highlighters Hair Colourants (Clours, Hair Dye) Razors/Razor BladesBody Creams & Lotions Hair Conditioners Santory Napkins/Tampons/LinersBody Sprays & Perfumes Hair Oil ShampoosCleansing Creams & Lotions & Wipes Hair Sprays (Aerosols) Shaving Cream, Round Foams, GelsDeodrants- Anti perspirants Hair Styling Gels, Mousses & Creams Shower GelsEye Make Up Hair Creams & Lotions Talcum PowderFace Moisturising Creams Henna /Mehendi ToothbrushFace Powder (Compacts) Lipstick Toothpaste 96
  81. 81. Using TGI Case 1: Insecticides97
  82. 82. + Profiling the TG Popln Coils Mats LV Aerosols 33 30 23 Coils : 20-44 BCD Mats : 25+ABC 10 LV : 35+ AB 1 3 Aero : 35+ AB 12-14 15-19 20-24 25-34 35-44 45+ Popln Coils Mats LV Aerosols 23.3 22.9 22.5 19 12.3 98 A B C D E
  83. 83. Profiling the TG Age(Gps.) Popln Coils Mats LV Aero 12-14 0.9 0.9 0.5 0.6 0.3 15-19 2.5 2.3 1.4 1.2 1.8 20-24 10.1 10.4 8.4 7.2 7.5 25-34 30.3 31.1 31.8 30.3 26.6 35-44 23.2 23.6 24.6 23.6 25.1 45+ 33.0 31.7 33.3 37.1 38.7 SEC A 12.3 11.3 21.6 30.6 34.0 B 19.0 19.7 24.5 31.8 26.5 C 23.3 25.1 24.4 22.2 18.4 D 22.9 24.1 18.3 11.0 13.2 E 22.5 19.9 11.2 4.4 8.0 99
  84. 84. + Looking at their Media consumption Coils Mats LV Aero 97 93 96 86 87 90 75 73 70 58 60 36 26 26 28 28 8 11 10 8 8 1 3 5 TV C&S Print Radio Cinema Internet 100
  85. 85. How are the TG’s for Aerosols and LV’s different?101
  86. 86. + The approach we took • Look at the category user (HW) • Identify segments within the users of both the products 102
  87. 87. + Observations LV Aerosol Lesser agreements with statements Larger segments agreeing with the statements Smaller deviations from Population Larger deviations also 103
  88. 88. More than 31% LV consumers agree More than 31% Aero consumers agreeMore than the fair share of agreement More than the fair share of agreement Less than 31% LV consumers agree Less than 31% Aero consumers agree High skew towards the demographic High skew towards the Aero owner 104
  89. 89. 1. I do not like to depend on other people 2. If at first you don’t succeed, you must keep1. I enjoy spending time with my family trying2. I pray and perform Pujas daily 3. Children should be allowed to express3. I am very happy with my standard of living themselves freely4. I really enjoy cooking 4. You should make use of every opportunity5. It’s worth paying extra for high quality that comes your way products 5. Its important for me to look well dressed 1. My car is there only to get me from point A to B 2. I enjoy foreign food 3. I would love to go abroad 4. I usually buy the best known brands 5. I like to pursue a life of challenge, novelty and change 105
  90. 90. 1. I do not like to depend on other people 2. If at first you don’t succeed, you must keep1. I enjoy spending time with my family trying2. I pray and perform Pujas daily 3. Children should be allowed to express3. I am very happy with my standard of living themselves freely4. I really enjoy cooking 4. You should make use of every opportunity5. It’s worth paying extra for high quality that comes your way products The conservative HW 5. Its important for me to look well dressed The progressive HW 1. My car is there only to get me from point A to B 2. I enjoy foreign food 3. I would love to go abroad 4. I usually buy the best known brands 5. I like to pursue a life of challenge, novelty and change The aspirational HW 106
  91. 91. + Media preferences 120 100 96 96 94 85 80 73 75 60 62 60 55 40 31 30 28 26 24 20 17 6 2 3 0 TV C&S Dailies Mags Radio Internet Conservative Progressive Aspirational 107
  92. 92. + An example of TGI 108
  93. 93. Presentation flow Research terms Print research Television research Radio Research How Media Planners use research data
  94. 94. + 110
  95. 95. + • Evolution of TV research • Auditing TV advertising • Research terms for TV • TV planning • Innovations in TV advertising 111
  96. 96. + • Evolution of TV research • Auditing TV advertising • Research terms for TV • TV planning • Innovations in TV advertising 112
  97. 97. + DART • Followed by DD initially and other clients on an ad- hoc basis • Disadvantages: – Memory based – Incorrect attribution – Low memory of niche vis-a-vis mass channels 113
  98. 98. + Diary panels • Initiated by IMRB • Maintained a Diary which was filled by the HW • Collected on a weekly basis and analysed • Disadvantages – Memory based – Incorrect attribution – Overstating Mass GEC channels – Inadequate recording of others viewing 114
  99. 99. + PeopleMeter systems • Introduced by ORG-MARG • Similar system introduced by IMRB • Different systems used for measuring – Picture matching vs Frequency matching • Kantar Media formed • Unified body - TAM 115
  100. 100. How does the PeopleMeter systemwork?
  101. 101. Undertake Installation of Installation of establishment PeopleMeters surrogate HH’s surveys Substitution of HHArrive at TV and matching on upto 9 Analysis of data C&S estimates criteria Sample sizes Random samplingdecided for each among the homes Release of data C&S vs SEC to arrive at the segment panel HH’s 117
  102. 102. + How does the PeopleMeter work? Set Monitoring Unit Home Management Interface Remote Control Handset 118
  103. 103. Metering Technology - ACN 6000 system Set Monitoring Unit Module 1 2 3 4 5 6 7 8 9 10 11 12 VAC X Detector Sensors TV Tuner Remote119
  104. 104. + Measuring the TV rating Meter Using Peoplemeters Research Company Research company determines representative sample METERS installed Individual householder details recorded Householder “pushes button” when watching. Recorded as a viewer Data on-line to research company Handset 120
  105. 105. + The Picture Matching technology 121
  106. 106. + The challenges ahead… 122
  107. 107. + • Evolution of TV research • Auditing TV advertising • Research terms for TV • TV planning • Innovations in TV advertising 123
  108. 108. + Auditing the TV advertising • MAP – methodology • MAP reports 124
  109. 109. + • Evolution of TV research • Auditing TV advertising • Research terms for TV • TV planning • Innovations in TV advertising 125
  110. 110. Research terms
  111. 111. + Reach • Of A Media – % of People who consume a media a minimum number of times in a stipulated period • TV – Atleast watched once a week • Cinema – Atleast seen once a month • Of A Channel – % of People who have seen a channel for atleast “n” minutes 127
  112. 112. + Computing Reach Total TG = 8 TG which saw the commercial = 4 Hence, Reach = 4/8*100 = 50% 128
  113. 113. + Computing Reach Total TG = 8 TG which saw Bidayi =4 TG which saw Balika Vadhu= 4 Hence, Reach = 6/8*100 = 75% 129
  114. 114. + Effective Reach Total TG = 8 TG which saw Bidayi =4 TG which saw Balika Vadhu= 4 TG which saw Antara =4 Effective reach @1+ = 8/8 =100% @2+ = 3/8 = 38% 130 @3+ = 1/8 = 13%
  115. 115. + TVR/ TRP’s A TVR measures the popularity of a programme/ advertisement by comparing the number of people who watched against the total available as a whole One TVR = 1% of a target audience If an ad on Balika Vadhu got a TVR of 7, it means 7% of the audience saw the ad 131
  116. 116. Min 1 Total man minutes 2 = 8 consumers x 5 mins = 40 3 4 5132
  117. 117. Min 1 Total man minutes consumed = (4+6+5+4+5) = 24 2 3 4 5TVR = Man minutes consumed/ man minutes available*100 = 24/40*100 = 60 133
  118. 118. Time band rating The TVR is averaged from the start minute of the given time band to the end minute TVR : 6.4 12.2 11.6 12:00-15:00 10.4 8.6 7.2 5.9 5.3 5.1 5.1 4.3 0.6 12:15 12:30 12:45 13:00 13:15 13:30 13:45 14:00 14:15 14:30 14:45 134
  119. 119. Programme ratings The TVR is averaged from the start minute to the end minute of the Programme TVR : 9.5 Big Boss 12 12 12 11 11 11 11 11 11 11 11 10 10 10 10 10 10 10 9 9 9 8 8 8 7 7 7 7 7 7 22:01 22:04 22:07 22:10 22:13 22:16 22:19 22:22 22:25 22:28 135
  120. 120. Slot/ Break rating The TVR is averaged from the first minute to the last minute of the commercial break Break TVR : 7.4 7.9 7.2 7.3 7.4 7.2 6.7 22:01 22:04 22:07 22:10 22:13 22:16 22:19 22:22 22:25 22:28 Big Boss 136
  121. 121. + Gross Rating Points (GRP’s) Programme Rating The sum of all ratings achieved in a campaign. 137
  122. 122. + Gross Rating Points (GRP’s) 4 TVR 5 TVR Is desh 7 TVR 6 TVR Agle Janam Balika Yeh Vadhu Rishta 138
  123. 123. + Gross Rating Points (GRP’s) Programme Rating Agle Janam 5 Yeh Rishta 7 Is Desh 4 Balika Vadhu 6 Total 22 GRP’s 139
  124. 124. + Average OTS The number of times, on an average, the audience reached sees the commercial during a given period. 140
  125. 125. GRP’s ReachAd A B C D E F G H 50% 50%12 37% 63%3 50% 88% AOTS 2.44 25% 88%5 50% 88% 3 3 0 1 2 2 1 5 212 88 141
  126. 126. Ad A B C D E F G H12 AOTS = Number of views/ Number of people3 =17/7 = 2.445 3 3 0 1 2 2 1 5 142
  127. 127. So what is the relation between GRP, Reach andAOTS GRP = Reach x AOTS 143
  128. 128. Putting the theory to test… GRP’s ReachAd A B C D E F G H 50% 50%12 37% 63% AOTS 2.43 50% 88% GRP’s = 25% 88% 87.5 x4 2.4 = 2125 50% 88% 3 3 0 1 2 2 1 5 212 88 144
  129. 129. Examples – tell me the GRP, reach and AOTSAd A B C D E F1234 145
  130. 130. Examples – tell me the GRP, reach and AOTSAd A B C D E F1234 146
  131. 131. + Channel/ Programme share Channel Share : channel viewing as a percentage of total TV viewing at the specified time Program Share : program viewing as a percentage of total TV viewing at the specified program time 80% 60% 40% TV viewing Channel viewing Program viewing 147
  132. 132. + Channel/ Programme share TV on = 6 homes TV tuned to STAR Plus = 4homes Channel Share = 67% Homes tuned into a program / channel as a % of homes in which the TV was on. 148
  133. 133. + Channel/ Programme share Total HH’s = 12 HHs TV tuned to STAR Plus = 4HH’s Homes tuned into a program / channel as a % of homes in which the TV was on 149
  134. 134. Channel/ Programme share Total TV audience 1000 No of people watching TV (8 - 10 PM) 900 No of people watching Sanjivani 600 No of people watching STAR Plus 800 Sanjivani share of audience (600/900*100) STAR Plus share of audience (800/900*100) 67% 89% 150
  135. 135. Looking at the TAM software153
  136. 136. + TAM Module – Screen Shots 154
  137. 137. + TAM Module – Screen Shots 155
  138. 138. + TAM Module – Screen Shots 156
  139. 139. + TAM Module – Screen Shots 157
  140. 140. + Trends – By Months/ Week/Quarter 158
  141. 141. + Output 1 [CS 15+ YRS]Channel Date From Date To Month Time From Time To 000s TVR Reach Reach % Share Time Spent(Univ) in MM.SSMarket : *Mumbai Universe 11031 Sample 1418Zee Marathi 01/01/2008 31/01/2008 JAN 2:00 2:29 1 0.01 101 0.92 1.51 0.05Zee Marathi 01/01/2008 31/01/2008 JAN 2:30 2:59 1 0 15 0.14 1.7 0.03Zee Marathi 01/01/2008 31/01/2008 JAN 3:00 3:29 0 0 0 0 0 0Zee Marathi 01/01/2008 31/01/2008 JAN 3:30 3:59 0 0 0 0 0 0Zee Marathi 01/01/2008 31/01/2008 JAN 4:00 4:29 0 0 0 0 0 0Zee Marathi 01/01/2008 31/01/2008 JAN 4:30 4:59 0 0 0 0 0 0Zee Marathi 01/01/2008 31/01/2008 JAN 5:00 5:29 0 0 0 0 0 0Zee Marathi 01/01/2008 31/01/2008 JAN 5:30 5:59 0 0 30 0.28 0.22 0Zee Marathi 01/01/2008 31/01/2008 JAN 6:00 6:29 1 0.01 84 0.76 0.95 0.03Zee Marathi 01/01/2008 31/01/2008 JAN 6:30 6:59 1 0.01 211 1.92 0.79 0.05Zee Marathi 01/01/2008 31/01/2008 JAN 7:00 7:29 13 0.12 403 3.65 4.62 1.05Zee Marathi 01/01/2008 31/01/2008 JAN 7:30 7:59 30 0.27 711 6.45 5.82 2.3Zee Marathi 01/01/2008 31/01/2008 JAN 8:00 8:29 64 0.58 1157 10.48 8.53 5.22Zee Marathi 01/01/2008 31/01/2008 JAN 8:30 8:59 113 1.02 1634 14.82 12.06 9.29Zee Marathi 01/01/2008 31/01/2008 JAN 9:00 9:29 67 0.61 1597 14.47 6.91 5.38Zee Marathi 01/01/2008 31/01/2008 JAN 9:30 9:59 36 0.32 1664 15.09 3.66 3.01Zee Marathi 01/01/2008 31/01/2008 JAN 10:00 10:29 46 0.42 1714 15.54 4.6 3.52Zee Marathi 01/01/2008 31/01/2008 JAN 10:30 10:59 52 0.47 1696 15.38 5.21 4.22Zee Marathi 01/01/2008 31/01/2008 JAN 11:00 11:29 31 0.28 1616 14.65 3.12 2.34Zee Marathi 01/01/2008 31/01/2008 JAN 11:30 11:59 20 0.19 1119 10.14 1.93 1.44 159
  142. 142. + Trends – By Cities 160
  143. 143. + Output *Mumbai *ChennaiChannel Date From Date To Start Time End Time 000s TVR Reach Reach % Share Time Spent(Univ) in MM.SS 000s TVR Reach Reach % ShareMarket : ReportTG : 1 [CS 15+ YRS] Universe 11031 5172 Sample 1418 801Star Plus 01/01/2008 31/01/2008 2:00 2:29 1 0.01 142 1.29 1.53 0.06 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 2:30 2:59 0 0 26 0.23 0.2 0 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 3:00 3:29 0 0 25 0.23 0.46 0 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 3:30 3:59 0 0 0 0 0 0 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 4:00 4:29 0 0 60 0.54 1.83 0.01 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 4:30 4:59 0 0 26 0.23 2.86 0.02 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 5:00 5:29 0 0 39 0.35 0.87 0.01 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 5:30 5:59 0 0 36 0.32 0.85 0.01 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 6:00 6:29 4 0.04 69 0.63 5.43 0.2 0 0 4 0.07 0.01Star Plus 01/01/2008 31/01/2008 6:30 6:59 0 0 43 0.39 0.13 0.01 0 0 10 0.19 0.06Star Plus 01/01/2008 31/01/2008 7:00 7:29 3 0.02 150 1.36 0.92 0.13 0 0 0 0 0Star Plus 01/01/2008 31/01/2008 7:30 7:59 5 0.04 527 4.78 0.89 0.23 0 0 24 0.46 0.06Star Plus 01/01/2008 31/01/2008 8:00 8:29 12 0.11 587 5.32 1.58 0.59 0 0 17 0.33 0.03Star Plus 01/01/2008 31/01/2008 8:30 8:59 6 0.05 740 6.71 0.61 0.29 0 0 6 0.12 0Star Plus 01/01/2008 31/01/2008 9:00 9:29 23 0.21 1322 11.98 2.39 1.57 0 0 21 0.4 0.01Star Plus 01/01/2008 31/01/2008 9:30 9:59 15 0.14 1296 11.75 1.53 1.16 0 0 20 0.39 0.01Star Plus 01/01/2008 31/01/2008 10:00 10:29 18 0.16 1416 12.83 1.79 1.3 0 0 17 0.33 0.02Star Plus 01/01/2008 31/01/2008 10:30 10:59 21 0.19 1357 12.3 2.07 1.44 0 0 17 0.33 0Star Plus 01/01/2008 31/01/2008 11:00 11:29 20 0.18 1558 14.13 2 1.39 1 0.01 26 0.51 0.09Star Plus 01/01/2008 31/01/2008 11:30 11:59 33 0.3 1660 15.05 3.14 2.49 0 0 17 0.33 0.02Star Plus 01/01/2008 31/01/2008 12:00 12:29 53 0.48 2333 21.15 4.48 4.28 0 0.01 17 0.33 0.04Star Plus 01/01/2008 31/01/2008 12:30 12:59 94 0.85 3002 27.22 6.82 7.55 1 0.01 21 0.4 0.05Star Plus 01/01/2008 31/01/2008 13:00 13:29 250 2.27 3305 29.96 15.33 21.05 0 0.01 34 0.65 0.03Star Plus 01/01/2008 31/01/2008 13:30 13:59 229 2.07 3193 28.95 13.23 19.17 0 0 4 0.07 0 161
  144. 144. + Channel Shares By Daypart - Weeks 162
  145. 145. + Output DP 1 [ DP 1 ] Channel 000s TVR Share Market : *Mumbai TG : 1 [CS 15+ YRS] 11031 1422 24 Ghanta TV 0 0 0 3ABN 0 0 0 4M 0 0 0 7 Star Care 0 0 0.01 9X 11 0.1 0.97 9X M 16 0.15 1.43 Aaj Tak 19 0.17 1.66 Aakaash (Bangla) 0 0 0.02 Aasirvatham 0 0 0 Aastha 2 0.02 0.17 Aastha International 0 0 0.01 Action TV 0 0 0 Adventure One 0 0 0 Ahimsa 0 0 0 Amrita TV 0 0 0 Angel TV 0 0 0 Animal Planet 1 0.01 0.12 Animax 0 0 0.03 Anjum Urdu GEC 0 0 0 Aradhana 0 0 0 Arirang English Movies 0 0 0 ARY Digital 0 0 0 Asianet 3 0.02 0.23 Asianet News 0 0 0 Asianet Plus 0 0 0.01 Asianet Tele Interactive 0 0 0 163
  146. 146. + Profile 164
  147. 147. + Output 1 [CS 15+ YRS] Programme Genre Language 000s TVR Viewer % Channel Share Universe 11031 Sample 1422 AVGHACHI SANSAAR Serials Marathi 28 0.26 100 9.99 YAA SUKHANO YAA Serials Marathi 16 0.15 100 9.14 KALAT NAKALATSerials Marathi 0 0 0 0 ADHURI EK KAHANI Serials Marathi 0 0 0 0 VAIDH BHAVISHYACHA Marathi Religious/Devotional 0 0 0 0 BANDHAN Serials Marathi 0 0 0 0 CHITRASANGEET Songs Marathi Film 0 0 0 0 AALAP Music Shows/Songs Marathi 0 0 0 0 CHITRASANGEET Songs Marathi Film 0 0 0 0 LIFE IN THE WORD Religious/Devotional Marathi 0 0 0 0 SWAR TAAL Music Shows/Songs Marathi 5 0.04 100 2.14 GOOD MORNING MAHARASHTRA Different Magazine/Multi Genre Marathi 63 0.57 100 7.71 EKA PEKSHYA EK Search/Feats Talent Marathi 107 0.97 100 9.51 AAMHI SARE KHAVAYE Marathi Women Programme/Cookery 53 0.48 100 4.94 AVANTIKA Serials Marathi 20 0.18 100 1.69 ADHURI EK KAHANI Serials Marathi 38 0.35 100 2.92 KALAT NAKALATSerials Marathi 111 1.01 100 7.69 ASAMBHAV Serials Marathi 54 0.49 100 3.3 AAMHI SARE KHAVAYE Marathi Women Programme/Cookery 120 1.09 100 6.88 HOME MINISTER Shows/Chat Shows Talk Marathi 111 1.01 100 5.86 165
  148. 148. + Loyalty 166
  149. 149. + Output 1 [CS 15+ YRS] Programme Genre Language Reach New Trier Fst Repeater Repeater New Trier Repeater Sub % % Cumm Trier Cumm Repeater Index Loyalty Universe 11031 Sample 1418 AVGHACHI SANSAAR Serials Marathi 0.89 0.89 0 0 100 0 0.89 0 0 YAA SUKHANO YAA Serials Marathi 0.14 0 0.14 0 0 100 0.89 0.14 15.26 KALAT NAKALATSerials Marathi 0 0 0 0 0 0 0.89 0.14 15.26 ADHURI EK KAHANI Serials Marathi 0 0 0 0 0 0 0.89 0.14 15.26 VAIDH BHAVISHYACHA Marathi Religious/Devotional 0 0 0 0 0 0 0.89 0.14 15.26 BANDHAN Serials Marathi 0 0 0 0 0 0 0.89 0.14 15.26 CHITRASANGEET Songs Marathi Film 0 0 0 0 0 0 0.89 0.14 15.26 AALAP Music Shows/Songs Marathi 0 0 0 0 0 0 0.89 0.14 15.26 CHITRASANGEET Songs Marathi Film 0 0 0 0 0 0 0.89 0.14 15.26 LIFE IN THE WORD Religious/Devotional Marathi 0 0 0 0 0 0 0.89 0.14 15.26 SWAR TAAL Music Shows/Songs Marathi 0.3 0.3 0 0 100 0 1.19 0.14 11.39 GOOD MORNING MAHARASHTRA Different Magazine/Multi Genre Marathi 3.92 3.92 0 0 100 0 5.1 0.14 2.65 EKA PEKSHYATalent Search/Feats EK Marathi 1.6 1.12 0.48 0 69.82 30.18 6.22 0.62 9.95 AAMHI SARE KHAVAYE Marathi Women Programme/Cookery 0.96 0.08 0.87 0 8.82 91.18 6.31 1.49 23.65 AVANTIKA Serials Marathi 0.51 0.06 0.29 0.16 11.52 88.48 6.37 1.78 27.93 ADHURI EK KAHANI Serials Marathi 0.77 0.1 0.29 0.38 12.85 87.15 6.46 2.06 31.93 KALAT NAKALATSerials Marathi 1.42 0.6 0.17 0.66 41.8 58.2 7.06 2.24 31.67 ASAMBHAV Serials Marathi 0.97 0.19 0.63 0.15 19.85 80.15 7.25 2.86 39.48 AAMHI SARE KHAVAYE Marathi Women Programme/Cookery 1.95 1.41 0.16 0.37 72.49 27.51 8.66 3.03 34.95 HOME MINISTER Shows/Chat Shows Talk Marathi 2.42 0.74 1.2 0.48 30.44 69.56 9.4 4.23 44.99 AVGHACHI SANSAAR Serials Marathi 1.49 0.3 0.32 0.87 19.91 80.09 9.7 4.55 46.92 VAHINI SAHEBSerials Marathi 1.53 0.07 0.29 1.17 4.39 95.61 9.76 4.84 49.6 SAREGAMAPATalent Search/Feats Marathi 1.72 0.28 0.38 1.06 16.03 83.97 10.04 5.22 52.03 YAA SUKHANO YAA Serials Marathi 1.85 0.24 0.36 1.26 12.84 87.16 10.28 5.58 54.29 AVANTIKA Serials Marathi 0.54 0.1 0 0.44 18.01 81.99 10.37 5.58 53.78 SAREGAMAPATalent Search/Feats ANTIM 0.27 PADGHAM MAHA Marathi 0 0 0.27 0 100 10.37 5.58 53.78 167
  150. 150. + Duplicate Viewing 168
  151. 151. + Output DP 1 [DayPart 1 [DayPart 1 [DayPart 1] DP 1] DP 1] Daypart Channel Star Plus Zee TV Sahara One Market : *Mumbai Read Across Universe 11031 Sample 1418 DP 1 [DayPart 1] Star Plus 8156 7113 6265 DP 1 [DayPart 1] Zee TV 7113 7618 6065 DP 1 [DayPart 1] One Sahara 6265 6065 6718 169
  152. 152. + Audience tracking 170
  153. 153. + Output Star Plus Gained From Lost To Date Time Total Retained First Time Zee TV Sahara One Other Zee TV Sahara One Other Market : *Mumbai TG :1 [CS 15+ YRS] 11031 1422 01/01/2008 2:00 0.32 0 0.32 0 0 0 0 0 0 01/01/2008 2:01 0.53 0.32 0 0 0 0.21 0 0 0 01/01/2008 2:02 0.53 0.53 0 0 0 0 0 0 0 01/01/2008 2:03 0.34 0.34 0 0 0 0 0 0 0.19 01/01/2008 2:04 0.21 0.21 0 0 0 0 0 0 0.12 01/01/2008 2:05 0.21 0.21 0 0 0 0 0 0 0 01/01/2008 2:06 0.21 0.21 0 0 0 0 0 0 0 01/01/2008 2:07 0 0 0 0 0 0 0 0.21 0 01/01/2008 2:08 0.42 0 0 0 0 0.42 0 0 0 01/01/2008 2:09 0.42 0.42 0 0 0 0 0 0 0 01/01/2008 2:10 0.42 0.42 0 0 0 0 0 0 0 01/01/2008 2:11 0.42 0.42 0 0 0 0 0 0 0 01/01/2008 2:12 0.42 0.42 0 0 0 0 0 0 0 01/01/2008 2:13 0.42 0.42 0 0 0 0 0 0 0 01/01/2008 2:14 0 0 0 0 0 0 0 0 0.42 01/01/2008 2:15 0 0 0 0 0 0 0 0 0 01/01/2008 2:16 0 0 0 0 0 0 0 0 0 01/01/2008 2:17 0 0 0 0 0 0 0 0 0 01/01/2008 2:18 0 0 0 0 0 0 0 0 0 01/01/2008 2:19 0 0 0 0 0 0 0 0 0 01/01/2008 2:20 0 0 0 0 0 0 0 0 0 171
  154. 154. + Programme Reach & Frequency 172
  155. 155. + Output ProgrammeGenre Language 000s TVR RCH 000s RCH Grs RCH 000s RCH Avg. Freq. Cumm Cost Grs Cost/Reach AVGHACHI SANSAARMarathi Serials 28 0.26 156 1.42 156 1.42 1 0 0 YAA SUKHANO YAA Marathi Serials 16 0.15 18 0.16 174 1.58 1.11 0 0 KALAT NAKALAT Serials Marathi 0 0 4 0.04 178 1.62 1.14 0 0 ADHURI EK KAHANI Marathi Serials 0 0 1 0.01 180 1.63 1.15 0 0 VAIDH BHAVISHYACHA Religious/Devotional Marathi 0 0 0 0 180 1.63 1.15 0 0 BANDHANSerials Marathi 0 0 0 0 180 1.63 1.15 0 0 CHITRASANGEET Film Songs Marathi 0 0 0 0 180 1.63 1.15 0 0 AALAP Music Shows/Songs Marathi 0 0 0 0 180 1.63 1.15 0 0 CHITRASANGEET Film Songs Marathi 0 0 0 0 180 1.63 1.15 0 0 LIFE IN THE WORD Marathi Religious/Devotional 0 0 0 0 180 1.63 1.15 0 0 SWAR TAAL Music Shows/Songs Marathi 5 0.04 34 0.31 214 1.94 1.16 0 0 GOOD MORNING MAHARASHTRAGenre Different Magazine/Multi Marathi 63 0.57 518 4.69 732 6.63 1.03 0 0 EKA PEKSHYA EK Marathi Talent Search/Feats 107 0.97 247 2.24 978 8.87 1.13 0 0 AAMHI SARE KHAVAYE Women Programme/Cookery 53 Marathi 0.48 158 1.43 1137 10.3 1.31 0 0 AVANTIKASerials Marathi 20 0.18 77 0.7 1213 11 1.4 0 0 ADHURI EK KAHANI Marathi Serials 38 0.35 160 1.45 1374 12.45 1.54 0 0 KALAT NAKALAT Serials Marathi 111 1.01 212 1.92 1586 14.37 1.65 0 0 ASAMBHAVerials S Marathi 54 0.49 172 1.56 1758 15.94 1.78 0 0 AAMHI SARE KHAVAYE Women Programme/Cookery120 Marathi 1.09 280 2.54 2038 18.47 1.73 0 0 HOME MINISTER Talk Shows/Chat Shows Marathi 111 1.01 388 3.52 2426 21.99 1.92 0 0 AVGHACHI SANSAARMarathi Serials 67 0.6 218 1.97 2644 23.96 2.05 0 0 VAHINI SAHEB Serials Marathi 123 1.12 213 1.93 2857 25.9 2.22 0 0 SAREGAMAPA Search/Feats Talent Marathi 46 0.42 289 2.62 3146 28.52 2.4 0 0 YAA SUKHANO YAA Marathi Serials 67 0.61 255 2.31 3401 30.83 2.56 0 0 AVANTIKASerials Marathi 37 0.33 72 0.65 3473 31.48 2.59 0 0 173
  156. 156. + Brand Spot Listing 174
  157. 157. + Output *Mumbai *Calcutta Channel Product Brand Variant Advertiser Cost 000s TVR CPRP CPT Norm. TVR000s Market : TG : Universe 11031 7731 Sample 1419 943 24 Ghanta TV TOILET SOAPS GLYCERINE USES PRODUCT/VOICE OVE 0 MOULI CP-LADY CLASSIC CHEMICALS 500 0 0 0 0 19 24 Ghanta TV TOILET SOAPS CHASME GLYCERINE DIPTI BHATNAGAR/BOY WITH FLOWE 0 CHASME GLYCERINE 500 0 0 0 0 12 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1000 0 0 0 0 0 24 Ghanta TV TOILET SOAPS GLYCERINE USES PRODUCT/VOICE OVE 0 MOULI CP-LADY CLASSIC CHEMICALS 500 0 0 0 0 74 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1000 0 0 0 0 28 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1200 0 0 0 0 70 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 24 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 29 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 61 24 Ghanta TV TOILET SOAPS CHASME GLYCERINE DIPTI BHATNAGAR/BOY WITH FLOWE 0 CHASME GLYCERINE 700 0 0 0 0 7 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 34 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 0 24 Ghanta TV TOILET SOAPS CHASME GLYCERINE DIPTI BHATNAGAR/BOY WITH FLOWE 0 CHASME GLYCERINE 500 0 0 0 0 0 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & 900 BATH PRODUCT SHOT/LADY TAKES CHEMICALS 0 0 0 0 0 0 24 Ghanta TV TOILET SOAPS GLYCERINE USES PRODUCT/VOICE OVE 0 MOULI CP-LADY CLASSIC CHEMICALS 500 0 0 0 0 0 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1000 0 0 0 0 38 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1200 0 0 0 0 55 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1200 0 0 0 0 55 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 38 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 77 24 Ghanta TV TOILET SOAPS GLYCERINE USES PRODUCT/VOICE OVE 0 MOULI CP-LADY CLASSIC CHEMICALS 700 0 0 0 0 0 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 29 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1400 0 0 0 0 41 24 Ghanta TV TOILET SOAPS CHASME GLYCERINE DIPTI BHATNAGAR/BOY WITH FLOWE 0 CHASME GLYCERINE 700 0 0 0 0 23 24 Ghanta TV TOILET SOAPS CHASME GLYCERINE DIPTI BHATNAGAR/BOY WITH FLOWE 0 CHASME GLYCERINE 500 0 0 0 0 0 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & 900 BATH PRODUCT SHOT/LADY TAKES CHEMICALS 0 0 0 0 0 0 24 Ghanta TV TOILET SOAPS GLYCERINE USES PRODUCT/VOICE OVE 0 MOULI CP-LADY CLASSIC CHEMICALS 500 0 0 0 0 0 24 Ghanta TV TOILET SOAPS SONALI GLYCERINE SONALI SOAP & CHEMICALS 0 PRODUCT SHOT/LADY TAKES BATH 1000 0 0 0 0 75 175
  158. 158. + Break Performance 176
  159. 159. + Output 1 [CS 15+ YRS] Channel Reg City Date Day Start Time ProgrammeGenre Language PA TA Dur (Sec.) Commercial Product 000s TVR CPRP CPT Market : *Mumbai 11031 1419 Zee TV NetWork 01/01/2008 Tue 2:05 TEEN BAHURAANIYAAN Serials Hindi 0 0 15 -- End of PreBreak 1 -- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 2:22 TEEN BAHURAANIYAAN Serials Hindi 0 0 164 ---- End of Break 1 ---- 5 0.04 0 0 Zee TV NetWork 01/01/2008 Tue 2:28 TEEN BAHURAANIYAAN Serials Hindi 0 0 167 ---- End of Break 2 ---- 7 0.06 0 0 Zee TV NetWork 01/01/2008 Tue 2:32 HAR GHAR KUCH KEHTA HAI Serials Hindi 0 0 15 -- End of PreBreak 1 -- 14 0.12 0 0 Zee TV NetWork 01/01/2008 Tue 2:43 HAR GHAR KUCH KEHTA HAI Serials Hindi 0 0 293 ---- End of Break 1 ---- 2 0.02 0 0 Zee TV NetWork 01/01/2008 Tue 2:53 HAR GHAR KUCH KEHTA HAI Serials Hindi 0 0 319 ---- End of Break 2 ---- 10 0.09 0 0 Zee TV NetWork 01/01/2008 Tue 3:03 KASAMH SE Serials Hindi 0 0 15 -- End of PreBreak 1 -- 14 0.12 0 0 Zee TV NetWork 01/01/2008 Tue 3:15 KASAMH SE Serials Hindi 0 0 202 ---- End of Break 1 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 3:25 KASAMH SE Serials Hindi 0 0 144 ---- End of Break 2 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 3:31 SAATH PHERE Serials Hindi 0 0 15 -- End of PreBreak 1 -- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 3:46 SAATH PHERE Serials Hindi 0 0 298 ---- End of Break 1 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 3:55 SAATH PHERE Serials Hindi 0 0 232 ---- End of Break 2 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:03 ARDHANGINI Serials Hindi 0 0 15 -- End of PreBreak 1 -- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:15 ARDHANGINI Serials Hindi 0 0 221 ---- End of Break 1 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:26 ARDHANGINI Serials Hindi 0 0 104 ---- End of Break 2 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:30 URJA Interviews/Portraits/Discussions Hindi 0 0 15 -- End of PreBreak 1 -- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:36 URJA Interviews/Portraits/Discussions Hindi 0 0 164 ---- End of Break 1 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:45 URJA Interviews/Portraits/Discussions Hindi 0 0 152 ---- End of Break 2 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:52 URJA Interviews/Portraits/Discussions Hindi 0 0 168 ---- End of Break 3 ---- 0 0 0 0 Zee TV NetWork 01/01/2008 Tue 4:59 SEVA GANGA Religious/Devotional Hindi 0 0 15 -- End of PreBreak 1 -- 0 0 0 0 177
  160. 160. + Spot summary 178
  161. 161. + Output Zee TV Advertiser Product Brand Count Dur GRP OOOS GRP Spends Market : *Mumbai Universe 11031 Sample 1419 AGRO TECH FOODS LTD EDIBLE OIL SUNDROP HEART 23 460 2836 25.71 881000 AIG INC INDIA LIASON OFFICE TP AIG PROMO TAG 8 28 206 1.87 0 ANKUR BUSINESS PVT LTD SALTS BRANDED ANKUR SALT 55 910 3356 30.42 1033900 ANKUR CHEM-FOODS PVT LTD TP ANKUR SALT 21 PROMO TAG 84 691 6.26 0 AVIVA LIFE INSURANC CO INDIA INSURANCE-LIFE RETIREMENT PLANS AVIVA 8 265 3014 27.32 2046300 BAJAJ AUTO LTD PROMO TAG BAJAJ KRISTAL DTS-I TP 34 87 1276 11.57 0 BAJAJ AUTO LTD TWO WHEELERS AVENGER DTS-I BAJAJ 9 405 1978 17.93 1522500 BAJAJ CONSUMER HAIR OILS BAJAJ ALMOND DROPS 2190 CARE LTD 90 7977 72.32 2889300 BAJAJ CONSUMER HAIR OILS BAJAJ BRAHMI AMLA CARE LTD 70 1190 6830 61.91 2131900 BALSARA HYGIENE AIR FRESHENERS ROOM FRESHNER160 ODONIL 4 631 5.72 612000 BENNETT COLEMAN & CO LTD LEAD INDIA EVENTS EVENTS 6 160 3280 29.73 0 BERGER PAINTS PAINTS LEWIS BERGER WEATHERCOAT ALLGU 23 660 1156 10.48 1072600 BHARTI AIRTEL LTDCELLULAR PHONE SERVICE 12 AIRTEL CELLULAR PHONE 720 SERVICE1905 17.27 2532000 BHARTI AIRTEL LTDPROMO TAG AIRTEL TP 55 213 3456 31.33 0 BRITANNIA INDUSTRIES LTDTAG BRIT GOOD DAY PROMO TP 6 17 1138 10.31 0 BROOKE BOND LIPTON INDIA LTD COFFEE BROOKE BOND BRU CAPPACHINO 3157 33 660 28.62 2630000 BROOKE BOND LIPTON INDIA LTD SAUCE/KETCHUP KISSAN CHATAK DAAR 21 340 3048 27.63 1880300 BROOKE BOND LIPTON INDIA LTD TEA BROOKE BOND RED LABEL NAT CARE 23 640 1686 15.29 3008500 BROOKE BOND LIPTON INDIA LTD TEA BROOKE BOND TAAZA 21 630 4293 38.92 2953500 CADBURYS INDIA LTDCHOCOLATES CADBURYS DAIRY MILK CHOCOLATE 10 360 1602 14.53 755400 CADBURYS INDIA LTDMILK BEVERAGES CADBURYS BOURNVITA 7 315 877 7.95 416500 CADILA HEALTH CAREARTIFICIAL SWEETNERS NATURA SUGAR FREE 3 60 190 1.72 30000 CAPITAL FOODS LTD PROMO TAG CHINGS FOOD12 TP PRODUCTS RANGE 34 609 5.52 0 CAVIN KARE LIMITEDMOISTURISING LOTION/CREAMS NYLE RED APPLE BODY LOTION 29 465 1943 17.61 610300 CAVIN KARE LIMITEDPROMO TAG CHIK SHAMPOO TP 42 134 2604 23.61 0 COCA COLA INDIA LTD PROMO TAG COCA COLA INDIA TP 64 167 3162 28.66 0 179
  162. 162. + Spot reach & frequency 180
  163. 163. + Output TNrest 1 Mn.+ .1 to 1 Mn. TN *Chennai TN-07 TG :1 [CS 15+ YRS] Universe 1874 4478 5172 11524 Sample 386 743 700 1829 GRP 000s 17885 49728 65671 133285 GRP 954.55 1110.58 1269.64 1156.6 Avg. Freq. 11.14 13.33 14.93 13.69 Cumm Cost 0 0 0 0 Spot CPRP 0 0 0 0 Cumm CPRP 0 0 0 0 Reach 000s 1606 3731 4398 9736 1+ 86 83 85 84 2+ 80 78 77 78 3+ 71 72 73 72 4+ 64 66 67 66 5+ 58 60 62 61 6+ 52 52 57 54 7+ 47 49 52 50 8+ 42 44 49 46 9+ 38 42 45 43 181
  164. 164. + Reach & frequency -Post 182

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