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#RNWebinars @LoveStats How to Create a Proprietary Measure Using Social Media Data Annie Pettit VP Research Standards, Research Now Chief Research Officer, Conversition [email protected] Social media research by researchers, for researchers #RNWebinars @LoveStats

How to Create a Proprietary Measure Using Social Media Data

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Presentation by: Annie Pettit (May 2013 Webinar)

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Page 1: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

How to Create a Proprietary Measure Using Social Media Data

Annie Pettit VP Research Standards, Research Now Chief Research Officer, Conversition [email protected] Social media research by researchers, for researchers

#RNWebinars    @LoveStats          

Page 2: How to Create a Proprietary Measure Using Social Media Data

#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?

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Page 3: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

American Customer Satisfaction Index

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Page 4: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

Net Promoter Score

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Page 5: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

NPS Method

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Page 6: How to Create a Proprietary Measure Using Social Media Data

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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  

Page 7: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

Social Media Sentiment (Box Scores)

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25%  

45%  

65%  

85%  

Jan   Feb   Mar   Apr   May   Jun   Jul   Aug   Sep   Oct   Nov   Dec  

Dollarama   Future  Shop   JCPenney   Meijer   Macy's  

Page 8: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

8

Key Characteristics

Walmart  

Future  Shop   McDonalds  

Sephora  

8  

Page 9: How to Create a Proprietary Measure Using Social Media Data

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Need a better way to compare how ______ are delivering on _____.

Retailers/Experience

Not pricing, not selection….

Start With A Theory

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Page 10: How to Create a Proprietary Measure Using Social Media Data

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Choose the Variables

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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  

Page 11: How to Create a Proprietary Measure Using Social Media Data

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•  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

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Page 12: How to Create a Proprietary Measure Using Social Media Data

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•  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

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Page 13: How to Create a Proprietary Measure Using Social Media Data

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Retailer Experience = 6.7 * employees + 3.9 * ordering + 2.6 * parking +

1.9 * lines + 1.8 * store hours

Theoretical Model

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Page 14: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

Raw Scores

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0  

4000  

8000  

12000  

16000  

Seph

ora  

Nordstrom

 Ba

rnes  &  Nob

le  

Bloo

mingdales  

Marks  &  Spe

ncer  

Office  Dep

ot  

American  Eagle  Ouc

ider  

Lowes  

Dillards  

Hertz  

Canadian  Tire

 BM

O  

Abercrom

bie  

Toys  R  Us  

Shop

pers  Drug  Mart  

Meijer  

Home  De

pot  

AVER

AGE  

Urban  Ouc

iders  

Hollister  

JCPe

nney  

Sears  

IKEA

 Macy's  

Future  Sho

p  Km

art  

HSBC

 Supe

rvalu  

OfficeMax  

Walgreens  

BAC  

CVS  

Target  

Safeway  

7eleven  

TDCT

 Walmart  

McD

onalds  

Page 15: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

Validate the Results

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•   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  

Page 16: How to Create a Proprietary Measure Using Social Media Data

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Rinse and Repeat

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1.  Choose  variables  

2.  Choose  coefficients  

3.  Apply  the  model  

4.  Validate  the  results  

5.  Con>nue  

0.  Start  

Page 17: How to Create a Proprietary Measure Using Social Media Data

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0 to 100 Scale

17

0  

25  

50  

75  

100  

BEST  

Seph

ora  

Nordstrom

 Ba

rnes  &  Nob

le  

Bloo

mingdales  

Marks  &  Spe

ncer  

Office  Dep

ot  

American  Eagle  Ouc

ider  

Lowes  

Dillards  

Hertz  

Canadian  Tire

 BM

O  

Abercrom

bie  

Toys  R  Us  

Shop

pers  Drug  Mart  

Meijer  

Home  De

pot  

AVER

AGE  

Urban  Ouc

iders  

Hollister  

JCPe

nney  

Sears  

IKEA

 Macy's  

Future  Sho

p  Km

art  

HSBC

 Supe

rvalu  

OfficeMax  

Walgreens  

BAC  

CVS  

Target  

Safeway  

7eleven  

TDCT

 Walmart  

McD

onalds  

WORST  

Page 18: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

0 to 10 Scale

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0  

2  

4  

6  

8  

10  

BEST  

Seph

ora  

Nordstrom

 Ba

rnes  &  Nob

le  

Bloo

mingdales  

Marks  &  Spe

ncer  

Office  Dep

ot  

American  Eagle  Ouc

ider  

Lowes  

Dillards  

Hertz  

Canadian  Tire

 BM

O  

Abercrom

bie  

Toys  R  Us  

Shop

pers  Drug  Mart  

Meijer  

Home  De

pot  

AVER

AGE  

Urban  Ouc

iders  

Hollister  

JCPe

nney  

Sears  

IKEA

 Macy's  

Future  Sho

p  Km

art  

HSBC

 Supe

rvalu  

OfficeMax  

Walgreens  

BAC  

CVS  

Target  

Safeway  

7eleven  

TDCT

 Walmart  

McD

onalds  

WORST  

Page 19: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

-100 to +100 Scale

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-­‐100  

-­‐50  

0  

50  

100  

BEST  

Seph

ora  

Nordstrom

 Ba

rnes  &  Nob

le  

Bloo

mingdales  

Marks  &  Spe

ncer  

Office  Dep

ot  

American  Eagle  Ouc

ider  

Lowes  

Dillards  

Hertz  

Canadian  Tire

 BM

O  

Abercrom

bie  

Toys  R  Us  

Shop

pers  Drug  Mart  

Meijer  

Home  De

pot  

AVER

AGE  

Urban  Ouc

iders  

Hollister  

JCPe

nney  

Sears  

IKEA

 Macy's  

Future  Sho

p  Km

art  

HSBC

 Supe

rvalu  

OfficeMax  

Walgreens  

BAC  

CVS  

Target  

Safeway  

7eleven  

TDCT

 Walmart  

McD

onalds  

WORST  

Page 20: How to Create a Proprietary Measure Using Social Media Data

#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

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Page 21: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

• Go beyond traditional social media data

• Be innovative

Conclusions

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Page 22: How to Create a Proprietary Measure Using Social Media Data

#RNWebinars        @LoveStats          

Thank you

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Questions?

annie@conversi>on.com  hello@conversi>on.com