the importance of rank
play

The Importance of Rank Or How Our Brains Constrain Survey Responses - PowerPoint PPT Presentation

The Importance of Rank Or How Our Brains Constrain Survey Responses Or The Enormous Power of Winning Kyle Findlay Senior R&D Executive The TNS Global Brand Equity Centre The enormous power of winning 1 1 2 3 4 5 2 3 4 5 This


  1. The Importance of Rank Or How Our Brains Constrain Survey Responses Or The Enormous Power of Winning Kyle Findlay Senior R&D Executive The TNS Global Brand Equity Centre

  2. The enormous power of winning 1 1 2 3 4 5 2 3 4 5 This presentation is about how these inequalities emerge

  3. “ One is wonderful. Two is terrific. Three is threatened. Four is fatal ” ~ Larry Light

  4. Retailers (China) Retailers (UK) Auto (Germany) Auto (UK) Sources: Retailers = KWP, Auto = Mintel

  5. “ “Market share versus rank across 506 food ” brands and 665 sporting-goods brands Power laws! Source: Kohli, R and Sah , R. 2003. “Market Shares: Some Power Law Results and Observations”, Harris School Working Paper, Series 04.1

  6. Man can be thought of as perfectly rational John Maynard Keynes

  7.                        

  8.             The ‘Chicago School’ of market research

  9. Nope. Humans have bounded rationality Herbert Simon

  10. Markets aren’t fair

  11. We make good enough choices from a ‘stacked deck’ Sources: http://www.pepsico.com/Annual-Reports/2008/performance/n-america-csd.html

  12. Sources: http://www.datapointed.net/visualizations/maps/distance-to-nearest-mcdonalds

  13. Usage of brand Frequency of purchase Newspaper 1 65.1 2.5 38.9 1.2 Newspaper 2 28.2 0.9 Newspaper 3 25.2 0.7 Newspaper 4 24.0 0.7 Newspaper 5 17.0 0.5 Newspaper 6 Source: UK newspaper market

  14.             We do the best we can within our cognitive limits

  15.       Get the important bits right and the rest will follow

  16. The brain is impressive…

  17. The brain is impressive… but it does have limits

  18. Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand Brand

  19. Brand Brand Brand Brand Brand Brand Consider Brand Brand Brand Used Brand Used Brand Used Brand Brand Consider Brand Brand Brand Brand Brand Brand

  20. 88 1,058,290 countries respondents 205 1,267 categories studies

  21. So, just how many brands do we realistically hold in mind at a time? Mean 3.9 Median 3.0 2.0 Mode Standard deviation = 3.7 Data: 1,267 studies, 88 countries, 205 categories, 1,058,290 respondents

  22. % of observations 17.9 23.1 15.6 11.4 8.0 6.0 4.3 3.9 1.4 0.9 3.9 1 2 3 4 5 6 7 8 9 10 The rest Evoked set size Standard deviation = 3.7 Data: 1,267 studies, 88 countries, 205 categories, 1,058,290 respondents

  23. Consumer Technology Business Finance Energy Healthcare Auto Polling Services & Social 5.0 3.4 3.3 3.3 3.1 3.1 2.3 2.3 Standard deviation = 3.7 Data: 1,267 studies, 88 countries, 205 categories, 1,058,290 respondents

  24. Beer UK Germany France Poland Spain Cambodia Thailand India 10.1 8.7 8.5 8.5 8.0 3.7 2.9 2.8

  25. 100 90 80 Linear R 2 Correlation 0.13 0.36 70 60 50 40 # brands in brand list 30 20 1,267 studies 10 0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Average evoked set size Standard deviation = 3.7 Data: 1,267 studies, 88 countries, 205 categories, 1,058,290 respondents

  26. Evolution made us care about

  27. Sources: http://www.supersport.com/olympics/gallery/22921

  28. Sources: http://xkcd.com/1098

  29. Source: https://www.checkmarket.com/2011/06/net-promoter-score

  30. Source: Louw & Hofmeyr (2012) Reality Check: The Relationship Between What We Ask and What People Actually Do

  31. Power law! R² = 0.97 Share of wallet (panel data) 69.5 23.6 11.3 4.1 1 2 3 4 Share of wallet rank Rank 1 brands get most of the share n=984 UK laundry detergent | Actual panel data supplied by KWP

  32. Rank 1 Rank 2 Rank 3 % of observations Rank 4 90% 80% 70% 60% 50% 40% 30% 20% 10% 0 Share of wallet UK laundry detergent | Actual panel data supplied by KWP

  33. log y y x log x

  34. Power law! Power law! Caption: “Probability of visiting a merchant, as a function of merchant visit rank, aggregated across all individuals. Dashed line cor respond to power law fits P(r) , r2a to the initial part of the probability distribution with a 5 1.13 for the European and a 5 0.80 for the North American database” Retailer visits by rank Source: Krumme, C, et al (2013) The predictability of consumer visitation patterns

  35. Power law! R² = 0.93 Share of wallet (panel data) 60.2 32.5 18.9 17.7 13.3 10.7 9.0 7.0 5.6 5.4 4.8 3.1 3.9 2.1 3.6 1.4 2.2 2.0 4.1 2.6 2.3 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 8.5 9.0 9.5 10.0 10.5 11.0 Performance rank Top rated (i.e. rank 1) brands get most of the share UK laundry detergent | Actual panel data supplied by KWP

  36. It is possible to measure too much information

  37. Respondent-level correlation with spend Awareness metric First mention 0.57 i.e. rank 1 All unaided aware 0.28 i.e. rank 2, 3… Aided aware 0.17 i.e. All ranks Countries: UK, China | Categories: Laundry, Retail Stores | Number of datasets: 5 | Actual panel data supplied by KWP Source: Hofmeyr, J & Louw, A. 2012. Reality Check : The Relationship Between What We Ask and What People Actually Do. ESOMAR 3D Conference 2012, Amsterdam

  38. Respondent-level correlation with spend Usage metric Most often 0.71 i.e. rank 1 Regularly 0.62 i.e. rank 2, 3… Past 1 month 0.56 Past 3 months 0.58 Ever bought 0.37 i.e. all ranks Countries: UK, China | Categories: Laundry, Retail Stores | Number of datasets: 5 | Actual panel data supplied by KWP Source: Hofmeyr, J & Louw, A. 2012. Reality Check : The Relationship Between What We Ask and What People Actually Do. ESOMAR 3D Conference 2012, Amsterdam

  39. # attributes in survey 78 36 36 36 Cell 1 Cell 2 Cell 3 Cell 4 Less measurement; richer data

  40. # attributes selected 78.0 17.0 18.0 28.0 Cell 1 Cell 2 Cell 3 Cell 4

  41. # ticks per respondent 2.2 3.0 3.2 4.8 Cell 1 Cell 2 Cell 3 Cell 4

  42. Total survey time 13.0 3.0 3.5 5.5 Cell 1 Cell 2 Cell 3 Cell 4

  43. Conclusions       Humans have bounded rationality

  44. 3.9

  45. 1 2 3 4

  46. First Most Less is mention often more

  47. Data Respondent Time Money

  48. Thank you Acknowledgements: Anna Elanie de Constantin Jannie Ken Bell Bruno Retief Beer Michael Hofmeyr Gonçalves

  49. Respondent-level Aggregate-level correlation with spend correlation with spend Awareness metric First mention 0.57 0.92 i.e. rank 1 All unaided aware 0.28 0.81 i.e. rank 2, 3… Aided aware 0.17 0.68 i.e. All ranks Countries: UK, China | Categories: Laundry, Retail Stores | Number of datasets: 5 | Actual panel data supplied by KWP Source: Hofmeyr, J & Louw, A. 2012. Reality Check : The Relationship Between What We Ask and What People Actually Do. ESOMAR 3D Conference 2012, Amsterdam

  50. Respondent-level Aggregate-level correlation with spend correlation with spend Usage metric Most often 0.71 0.96 i.e. rank 1 0.96 Regularly 0.62 i.e. rank 2, 3… 0.96 Past 1 month 0.56 0.98 Past 3 months 0.58 0.93 Ever bought 0.37 i.e. all ranks Countries: UK, China | Categories: Laundry, Retail Stores | Number of datasets: 5 | Actual panel data supplied by KWP Source: Hofmeyr, J & Louw, A. 2012. Reality Check : The Relationship Between What We Ask and What People Actually Do. ESOMAR 3D Conference 2012, Amsterdam

Recommend


More recommend