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About Us 
Vivek Bhaskaran 
CEO at Survey Analytics 
Founding Member 
We help companies listen, improve and grow. 
We develop industry leading online and mobile 
technology for surveys, community management 
and employee engagement.
Today’s Presenters 
Paul-Richard McCullough 
Paul is the President of MACRO Consulting, Inc., where he provides full service market research and 
analytics consulting to clients in a variety of industries. His areas of expertise are on new product 
research, market segmentation, brand positioning and market structure modeling. 
Esther LaVielle 
VP of Client Services at Survey Analytics 
Esther has a well-rounded experience using online, mobile and community tools for market research over 
the past seven years. For the past five years she has worn many hats supporting customers and planning 
marketing initiatives for Survey Analytics. 
Bert Willard 
Market Research Analyst at Ferguson 
Bert is a data scientist and 15 year market research veteran with a passion for workforce development. 
He has extensive experience in the overall development of brands and both quantitative and qualitative 
research practices.
Webinar Agenda 
● Theory Behind MaxDiff Scaling (Paul-Richard McCullough) 
● Demo: How to Setup MaxDiff (Esther LaVielle) 
● Business Use Case (Bert Willard) 
● Live Discussion and Q&A
A Brief 
Introduction to 
MaxDiff Scaling 
Paul Richard McCullough 
MACRO Consulting, Inc.
Why MaxDiff? 
Current Approach- Ratings Scales Batteries 
MACRO www.macroinc.com Consulting, Inc. 
5 
• Rating Scales 
• Each brand is rated 
independently on 
each statement in 
an image battery, 
eg, 10 point rating 
scale.
Anywhere you can 
use rating scale 
batteries, MaxDiff 
can be used instead 
MACRO Consulting, Inc. 6 
Ratings Scales Batteries 
Attitudes 
Lifestyles 
Psychographics 
Satisfaction 
Importance 
Brand Imagery 
Brand Preference 
Uses 
Segmentation 
Brand Positioning 
Usage and Attitudes 
Customer Satisfaction 
Messaging 
Advertising Research 
New Product Research 
MACRO www.macroinc.com Consulting, Inc.
Why MaxDiff? 
Because Ratings Scales Are Inefficient 
1 
2 
3 
4 
5 
6 
7 
8 
9 
10 
• Flat Responses Across Statements 
• Flat Responses Across Brands 
• Scale Usage Bias (Segmentation) 
• Brand Halo (Brand Imagery) 
MACRO www.macroinc.com Consulting, Inc. 
7 
Ratings Scales Resulting data are typically 
non-discriminating and 
highly correlated. 
Ratings scales batteries have 
very little information content
What Is MaxDiff? 
Example: Brand-Anchored Max/Diff 
MaxDiff consists of multiple “tasks” 
Each task has 3-5 items 
Respondent item ratings are generated using 
advanced regression 
For 30 items, 18 tasks of 5 items each might be 
designed 
MACRO www.macroinc.com Consulting, Inc. 
8 
Max/Diff removes brand halo, 
scale-usage bias and is more discriminating than rating scales.
A Twist on The Basic Theme 
Animated Modified Brand-Anchored Max/Diff 
Animated Modified Brand-Anchored Max/Diff is a more efficient data collection method than traditional 
MACRO www.macroinc.com Consulting, Inc. 
9 
Max/Diff.
MaxDiff Yields More Information Than Ratings Scales 
8.50 
8.00 
7.50 
7.00 
6.50 
6.00 
5.50 
5.00 
Brand#1 
NewBrand 
Brand#2 
2.50 
2.00 
1.50 
1.00 
0.50 
0.00 
-0.50 
MACRO www.macroinc.com Consulting, Inc. 
10 
Ra*ng 
Scales 
MaxDiff* 
-1.00 
Item1 Item2 Item3 Item4 Item5 Item6 Item7 Item8 Item9 Item10I tem11I tem12 
Brand#1 
NewBrand 
Brand#2 
* Note: the form of MaxDiff used to generate this line chart is slightly more advanced than traditional MaxDiff
MACRO www.macroinc.com Consulting, Inc. 
11 
Summary 
• Max/Diff is generally superior to rating scales in virtually 
every measurable way: 
- Better inter-item discrimination 
- Better predictive validity 
- Elimination of brand halo 
- Elimination of scale usage bias 
- Fewer invalid completes
12
Survey Analytics We help companies listen 
Enterprise Research Platform 
Full suite for creating surveys, sending email 
invitations, and analyzing survey data 
Online, mobile, off-line fielding apps, panel, 
respondents sample, and more 
Presenter: 
Esther LaVielle 
VP of Client Services 
5 Years with Survey Analytics 
7 Years in Market Research 
“When I’m not working I enjoy being 
in nature, traveling, cooking new 
recipes, eating and trying out new 
restaurants and food trucks around 
Portland, OR and hanging out with 
my dog, Cooper.”
The Business Of Pets 
• $58.5 Billion in 2014 
• Steady 4.9 % growth past 2 years 
• Vet care, products, and other services 
highest growth 
• 2015 projects very optimistic 
• Huge jump in investment groups & 
entrepreneurs 
American Pet Products Association 
http://media.americanpetproducts.org/ 
press.php?include=145057
MaxDiff Attributes for Rover 
• In-Home/At Sitter’s Home 
• Easy Profile Building & Booking 
• Owns Pets/No Pets 
• Young Children/No Children 
• Knows First Aid/Pet CPR 
• Licensed Dog Handler 
• Reviews 
• Social Media Presence 
• Price 
• Incentives & Rewards
Screen shot of analysis : Online and 
downloaded screen shots
Most/Least 
Share of Preference Chart
Thank You For Joining Us! 
You have questions, we have answers 
Paul-Richard McCullough Esther LaVielle Bert Willard Vivek Bhaskaran 
@surveyanalytics on Twitter 
sales-team@surveyanalytics.com

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Everything You Need to Know About MaxDiff

  • 1. About Us Vivek Bhaskaran CEO at Survey Analytics Founding Member We help companies listen, improve and grow. We develop industry leading online and mobile technology for surveys, community management and employee engagement.
  • 2. Today’s Presenters Paul-Richard McCullough Paul is the President of MACRO Consulting, Inc., where he provides full service market research and analytics consulting to clients in a variety of industries. His areas of expertise are on new product research, market segmentation, brand positioning and market structure modeling. Esther LaVielle VP of Client Services at Survey Analytics Esther has a well-rounded experience using online, mobile and community tools for market research over the past seven years. For the past five years she has worn many hats supporting customers and planning marketing initiatives for Survey Analytics. Bert Willard Market Research Analyst at Ferguson Bert is a data scientist and 15 year market research veteran with a passion for workforce development. He has extensive experience in the overall development of brands and both quantitative and qualitative research practices.
  • 3. Webinar Agenda ● Theory Behind MaxDiff Scaling (Paul-Richard McCullough) ● Demo: How to Setup MaxDiff (Esther LaVielle) ● Business Use Case (Bert Willard) ● Live Discussion and Q&A
  • 4. A Brief Introduction to MaxDiff Scaling Paul Richard McCullough MACRO Consulting, Inc.
  • 5. Why MaxDiff? Current Approach- Ratings Scales Batteries MACRO www.macroinc.com Consulting, Inc. 5 • Rating Scales • Each brand is rated independently on each statement in an image battery, eg, 10 point rating scale.
  • 6. Anywhere you can use rating scale batteries, MaxDiff can be used instead MACRO Consulting, Inc. 6 Ratings Scales Batteries Attitudes Lifestyles Psychographics Satisfaction Importance Brand Imagery Brand Preference Uses Segmentation Brand Positioning Usage and Attitudes Customer Satisfaction Messaging Advertising Research New Product Research MACRO www.macroinc.com Consulting, Inc.
  • 7. Why MaxDiff? Because Ratings Scales Are Inefficient 1 2 3 4 5 6 7 8 9 10 • Flat Responses Across Statements • Flat Responses Across Brands • Scale Usage Bias (Segmentation) • Brand Halo (Brand Imagery) MACRO www.macroinc.com Consulting, Inc. 7 Ratings Scales Resulting data are typically non-discriminating and highly correlated. Ratings scales batteries have very little information content
  • 8. What Is MaxDiff? Example: Brand-Anchored Max/Diff MaxDiff consists of multiple “tasks” Each task has 3-5 items Respondent item ratings are generated using advanced regression For 30 items, 18 tasks of 5 items each might be designed MACRO www.macroinc.com Consulting, Inc. 8 Max/Diff removes brand halo, scale-usage bias and is more discriminating than rating scales.
  • 9. A Twist on The Basic Theme Animated Modified Brand-Anchored Max/Diff Animated Modified Brand-Anchored Max/Diff is a more efficient data collection method than traditional MACRO www.macroinc.com Consulting, Inc. 9 Max/Diff.
  • 10. MaxDiff Yields More Information Than Ratings Scales 8.50 8.00 7.50 7.00 6.50 6.00 5.50 5.00 Brand#1 NewBrand Brand#2 2.50 2.00 1.50 1.00 0.50 0.00 -0.50 MACRO www.macroinc.com Consulting, Inc. 10 Ra*ng Scales MaxDiff* -1.00 Item1 Item2 Item3 Item4 Item5 Item6 Item7 Item8 Item9 Item10I tem11I tem12 Brand#1 NewBrand Brand#2 * Note: the form of MaxDiff used to generate this line chart is slightly more advanced than traditional MaxDiff
  • 11. MACRO www.macroinc.com Consulting, Inc. 11 Summary • Max/Diff is generally superior to rating scales in virtually every measurable way: - Better inter-item discrimination - Better predictive validity - Elimination of brand halo - Elimination of scale usage bias - Fewer invalid completes
  • 12. 12
  • 13. Survey Analytics We help companies listen Enterprise Research Platform Full suite for creating surveys, sending email invitations, and analyzing survey data Online, mobile, off-line fielding apps, panel, respondents sample, and more Presenter: Esther LaVielle VP of Client Services 5 Years with Survey Analytics 7 Years in Market Research “When I’m not working I enjoy being in nature, traveling, cooking new recipes, eating and trying out new restaurants and food trucks around Portland, OR and hanging out with my dog, Cooper.”
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  • 15. The Business Of Pets • $58.5 Billion in 2014 • Steady 4.9 % growth past 2 years • Vet care, products, and other services highest growth • 2015 projects very optimistic • Huge jump in investment groups & entrepreneurs American Pet Products Association http://media.americanpetproducts.org/ press.php?include=145057
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  • 17. MaxDiff Attributes for Rover • In-Home/At Sitter’s Home • Easy Profile Building & Booking • Owns Pets/No Pets • Young Children/No Children • Knows First Aid/Pet CPR • Licensed Dog Handler • Reviews • Social Media Presence • Price • Incentives & Rewards
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  • 20. Screen shot of analysis : Online and downloaded screen shots
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  • 22. Most/Least Share of Preference Chart
  • 23. Thank You For Joining Us! You have questions, we have answers Paul-Richard McCullough Esther LaVielle Bert Willard Vivek Bhaskaran @surveyanalytics on Twitter sales-team@surveyanalytics.com