Q Score

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The Q Score (more popularly known as Q-Rating) is a measurement of the familiarity and appeal of a brand, celebrity, company, or entertainment product (e.g., television show) used in the United States. The higher the Q Score, the more highly regarded the item or person is among the group familiar with them. Q Scores and other variants are primarily used by the advertising, marketing, media, and public relations industries.


The Q Score is a metric that determines a "quotient" ("Q") factor through mail and online panelists who make up representative samples of the population. The score identifies the familiarity of an athlete, brand, celebrity, entertainment offering (e.g., television show), or licensed property, and measures the appeal of each among people familiar with the entity being measured.[1] Other popular synonyms include Q rating, Q factor, and simply Q.[2]

The Q Score was developed in 1963 by Jack Landis and is owned by Marketing Evaluations, Inc,[3] the company he founded in 1964.[2] Q Scores are calculated for the population as a whole as well as by demographic groups such as age, education level, gender, income, or marital status.[2]

Q Score respondents are given the following choices for each person or item being surveyed:

   A. One of my favorites.   B. Very Good   C. Good   D. Fair   E. Poor   F. Never heard of.

[this quote needs a citation]

The positive Q Score is calculated by counting how many respondents answered A, how many respondents answered A to E, and calculating the percentage.[4][5] (that is, multiplying the fraction by 100). Put another way,

Similarly, the negative Q Score is calculated by calculating the percentage of respondents who answered D or E relative to respondents who answered A to E.[6]

Other companies have since created other measures and metrics related to the likability, popularity, and appeal of athletes, brands, celebrities, entertainment offerings, or licensed properties. Marketing Evaluations claims the Q Score is more valuable to marketers than other popularity measurements,[3] such as the Nielsen ratings, because Q Scores indicate not only how many people are aware of or watch a show but also how those people feel about the entity being measured. A well-liked television show, for example, may be worth more as a commercial venue to an advertiser than a higher-rated show that people don’t like as much. High emotional bonding with a show means strong viewer involvement and audience attention, which are important indicators for the quality of the show's advertising environment. Viewers who regard the show as a "favorite" have higher awareness of the show's commercial content.[citation needed]


Marketing Evaluations regularly calculates Q Scores in eight categories:[7]

  • Brand Attachment Q rates brand and company names
  • Cable Q rates cable television programs
  • Cartoon Q rates cartoon characters, video games, toys and similar products
  • Dead Q rates the current popularity of deceased celebrities
  • Kids Product Q rates children's responses to brand and company names
  • Performer Q rates living celebrities
  • Sports Q rates sports figures
  • TVQ rates broadcast television programs

Cable Q and TVQ scores are calculated for all regularly scheduled broadcast and cable shows.

Other Q Scores are calculated to order for clients who want to research public perception of a brand or celebrity. For example, in 2000, IBM hired Marketing Evaluations to calculate the Q Score for Deep Blue, the supercomputer that defeated chess Grandmaster Garry Kasparov. Deep Blue’s Q Score was 9, meaning the computer was as familiar and appealing at the time as Carmen Electra, Howard Stern, and Bruce Wayne. In contrast, Albert Einstein’s Q Score at the time was 56, while Larry Ellison and Scott McNealy each received a Q Score of 6.[8][9]

Similar metrics[edit]


  1. ^ "Q rating definition". Merriam-Webster. Retrieved 19 September 2013. 
  2. ^ a b c Finkle, David (June 7, 1992). "TELEVISION; Q-Ratings: The Popularity Contest of the Stars". The New York Times. Retrieved 19 September 2013. 
  3. ^ a b Bialik, Carl. "The Numbers Behind Modern Star Search". TheWall Street Journal. Retrieved 19 September 2013. 
  4. ^ Carl Bialik. "Lights, Camera, Calculator! The New Celebrity Math" (PDF). Wall Street Journal. 
  5. ^ Steiner, Brandon. The Business Playbook. 
  6. ^ Carl Bialik. "Lights, Camera, Calculator! The New Celebrity Math" (PDF). Wall Street Journal. 
  7. ^ Dempsey, John. "You like me! You really like me!". Variety. Retrieved 19 September 2013. 
  8. ^ IBM. "Deep Blue's Q Score". Press release. 
  9. ^ "Deep Blue's ranking". CNN. 2000. 
  10. ^ a b c Hall, Sharon Hurley (January 14, 2013). "3 Dashboard Tools That Measure Social Media Engagement". The Daily Egg. 
  11. ^ a b c Hall, Sharon Hurley (June 4, 2013). "Don't Like Klout? 12 Other Ways to Track Social Media Influence and Engagement". The Daily Egg. 
  12. ^ Perez, Sarah (February 5, 2013). "Influitive Acquires Social Inbox Startup Engagio To Aid In 'Advocate Marketing' Opportunities". TechCrunch. 

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