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Presentation by: Annie Pettit (May 2013 Webinar)
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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
#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
#RNWebinars @LoveStats
American Customer Satisfaction Index
3
#RNWebinars @LoveStats
Net Promoter Score
4
#RNWebinars @LoveStats
NPS Method
5
#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
#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
#RNWebinars @LoveStats
8
Key Characteristics
Walmart
Future Shop McDonalds
Sephora
8
#RNWebinars @LoveStats
Need a better way to compare how ______ are delivering on _____.
Retailers/Experience
Not pricing, not selection….
Start With A Theory
9
#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
#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
#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
#RNWebinars @LoveStats
Retailer Experience = 6.7 * employees + 3.9 * ordering + 2.6 * parking +
1.9 * lines + 1.8 * store hours
Theoretical Model
13
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Raw Scores
14
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
#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
#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
#RNWebinars @LoveStats
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
#RNWebinars @LoveStats
0 to 10 Scale
18
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
#RNWebinars @LoveStats
-100 to +100 Scale
19
-‐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
#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
#RNWebinars @LoveStats
• Go beyond traditional social media data
• Be innovative
Conclusions
21
#RNWebinars @LoveStats
Thank you
22
Questions?
annie@conversi>on.com hello@conversi>on.com