O slideshow foi denunciado.
Seu SlideShare está sendo baixado. ×

How to Create a Proprietary Measure Using Social Media Data

Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Próximos SlideShares
Citi 2014
Citi 2014
Carregando em…3
×

Confira estes a seguir

1 de 22 Anúncio

Mais Conteúdo rRelacionado

Semelhante a How to Create a Proprietary Measure Using Social Media Data (20)

Anúncio

Mais de Research Now (20)

Mais recentes (20)

Anúncio

How to Create a Proprietary Measure Using Social Media Data

  1. 1. #RNWebinars        @LoveStats           How to Create a Proprietary Measure Using Social Media Data Annie Pettit VP Research Standards, Research Now Chief Research Officer, Conversition annie@conversition.com Social media research by researchers, for researchers #RNWebinars    @LoveStats          
  2. 2. #RNWebinars        @LoveStats           •  A single number per brand •  Compare one brand to other brands •  Unique to your company •  Gives clients a reason to keep coming back to you What is a proprietary measure? 2
  3. 3. #RNWebinars        @LoveStats           American Customer Satisfaction Index 3
  4. 4. #RNWebinars        @LoveStats           Net Promoter Score 4
  5. 5. #RNWebinars        @LoveStats           NPS Method 5
  6. 6. #RNWebinars        @LoveStats           Social Media Mentions (Sample Sizes) 6 0   10000   20000   30000   40000   Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec   Dollarama   Future  Shop   JCPenney   Meijer   Macy's  
  7. 7. #RNWebinars        @LoveStats           Social Media Sentiment (Box Scores) 7 25%   45%   65%   85%   Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec   Dollarama   Future  Shop   JCPenney   Meijer   Macy's  
  8. 8. #RNWebinars        @LoveStats           8 Key Characteristics Walmart   Future  Shop   McDonalds   Sephora   8  
  9. 9. #RNWebinars        @LoveStats           Need a better way to compare how ______ are delivering on _____. Retailers/Experience Not pricing, not selection…. Start With A Theory 9
  10. 10. #RNWebinars        @LoveStats           Choose the Variables 10 Characteris>cs   Future   Shop   Macy's   McDonalds   Meijer   Sephora   Walmart   Employees     420   1623   2498   601   740   5738   Ordering     1108   549   4040   140   1784   860   WaiNng     214   517   1066   215   360   1045   Checkout  Line     171   893   649   273   187   1961   Crowding     28   198   183   95   50   623   Hours     57   943   1562   457   170   1688   Delivery     38   91   638   18   63   115   Parking     66   700   782   703   6   3401   FiSng  Room     0   93   1   0   0   22   Pre-­‐Orders     694   21   3   4   12   262   Drive  Thru     3   5   3459   29   0   78   Shopping  Cart     3   6   2   84   57   342   Express  Checkout     0   0   1   4   1   74   Self  Checkout     0   2   3   64   6   206  
  11. 11. #RNWebinars        @LoveStats           •  Variables must have sufficient data •  Can’t  build  a  model  based  on  one  person   •  Variables must be relevant to all retailers •  Grocery  stores  don’t  have  change  rooms   •  Clothing  stores  don’t  have  to  worry  about  employees  washing  their  hands   •  Variables must… vary! •  If  a  category  is  too  Nght,  it  is  possible  for  all  the  brands  to  have  the  same  score   •  E.g.,  all  24  hour  shops  have  great  hours   Outline the Model 11
  12. 12. #RNWebinars        @LoveStats           •  Statistical theory •  Regression  analysis,  factor  analysis,   etc,  suggest  6  specific  variables  and   their  weights   •  Brain theory •  Your  category  experience  indicates   7  specific  variables  and  their   weights   Apply Theory to the Model 12
  13. 13. #RNWebinars        @LoveStats           Retailer Experience = 6.7 * employees + 3.9 * ordering + 2.6 * parking + 1.9 * lines + 1.8 * store hours Theoretical Model 13
  14. 14. #RNWebinars        @LoveStats           Raw Scores 14 0   4000   8000   12000   16000   Sephora   Nordstrom   Barnes  &  Noble   Bloomingdales   Marks  &  Spencer   Office  Depot   American  Eagle  Oucider   Lowes   Dillards   Hertz   Canadian  Tire   BMO   Abercrombie   Toys  R  Us   Shoppers  Drug  Mart   Meijer   Home  Depot   AVERAGE   Urban  Ouciders   Hollister   JCPenney   Sears   IKEA   Macy's   Future  Shop   Kmart   HSBC   Supervalu   OfficeMax   Walgreens   BAC   CVS   Target   Safeway   7eleven   TDCT   Walmart   McDonalds  
  15. 15. #RNWebinars        @LoveStats           Validate the Results 15 •  Does  my  gut  say  these  are   indeed  the  worst  retailer   experiences?   •  Target   •  Safeway   •  7eleven   •  TDCT   •  Walmart   •  McDonalds   •  Does  my  gut  say  these  are   indeed  the  best  retailer   experiences?   •  Sephora   •  Nordstrom   •  Barnes  &  Noble   •  Bloomingdales   •  Marks  &  Spencer   •  Office  Depot  
  16. 16. #RNWebinars        @LoveStats           Rinse and Repeat 16 1.  Choose   variables   2.  Choose   coefficients   3.  Apply  the   model   4.  Validate   the  results   5.  Con>nue   0.  Start  
  17. 17. #RNWebinars        @LoveStats           0 to 100 Scale 17 0   25   50   75   100   BEST   Sephora   Nordstrom   Barnes  &  Noble   Bloomingdales   Marks  &  Spencer   Office  Depot   American  Eagle  Oucider   Lowes   Dillards   Hertz   Canadian  Tire   BMO   Abercrombie   Toys  R  Us   Shoppers  Drug  Mart   Meijer   Home  Depot   AVERAGE   Urban  Ouciders   Hollister   JCPenney   Sears   IKEA   Macy's   Future  Shop   Kmart   HSBC   Supervalu   OfficeMax   Walgreens   BAC   CVS   Target   Safeway   7eleven   TDCT   Walmart   McDonalds   WORST  
  18. 18. #RNWebinars        @LoveStats           0 to 10 Scale 18 0   2   4   6   8   10   BEST   Sephora   Nordstrom   Barnes  &  Noble   Bloomingdales   Marks  &  Spencer   Office  Depot   American  Eagle  Oucider   Lowes   Dillards   Hertz   Canadian  Tire   BMO   Abercrombie   Toys  R  Us   Shoppers  Drug  Mart   Meijer   Home  Depot   AVERAGE   Urban  Ouciders   Hollister   JCPenney   Sears   IKEA   Macy's   Future  Shop   Kmart   HSBC   Supervalu   OfficeMax   Walgreens   BAC   CVS   Target   Safeway   7eleven   TDCT   Walmart   McDonalds   WORST  
  19. 19. #RNWebinars        @LoveStats           -100 to +100 Scale 19 -­‐100   -­‐50   0   50   100   BEST   Sephora   Nordstrom   Barnes  &  Noble   Bloomingdales   Marks  &  Spencer   Office  Depot   American  Eagle  Oucider   Lowes   Dillards   Hertz   Canadian  Tire   BMO   Abercrombie   Toys  R  Us   Shoppers  Drug  Mart   Meijer   Home  Depot   AVERAGE   Urban  Ouciders   Hollister   JCPenney   Sears   IKEA   Macy's   Future  Shop   Kmart   HSBC   Supervalu   OfficeMax   Walgreens   BAC   CVS   Target   Safeway   7eleven   TDCT   Walmart   McDonalds   WORST  
  20. 20. #RNWebinars        @LoveStats           •  Evaluate the monthly/quarterly trend   •  Evaluate more retailers, different industries, different specialties, different regions, different target markets     •  Market and sell Re-Test Reliability 20
  21. 21. #RNWebinars        @LoveStats           •  Go beyond traditional social media data •  Be innovative Conclusions 21
  22. 22. #RNWebinars        @LoveStats           Thank you 22 Questions? annie@conversi>on.com   hello@conversi>on.com  

×