SlideShare a Scribd company logo
1 of 22
Download to read offline
PART II: Methodological Considerations
• The Motive: Why Did We Do This?

• The Scene of the Crime: A Rigorous Virtual
  Testing Methodology

• The Verdict: Virtual Shopping Hypotheses…and What Is
  Actually Real
Global Leader in                                  Pioneer in Immersive
    Community Panels                                      Virtual Testing


                    Intersection of Research & Technology
      Engaging Visual                                Data Visualization & Rapid
    Questions/ Exercises                                 Online Reporting




3
WHY DID WE DO THIS?
THE MOTIVE
• ‘Virtual Shopping’ is over a decade old
   – Vision Critical a pioneer, powering the industry

• Lots of new technology, lots of theories
   –   From super computer to notebook
   –   From flat images to 3D modeling
   –   From central location to online
   –   From curiosity to key tool in category management

• Real world validation is well documented, but no true ‘best
  practices’ for wide variety of virtual methods used

            We Wanted to Set The Record Straight!
TODAY’S WEBINAR:
        THE VIRTUAL SHOPPING HYPOTHESES
► Monadic Is Superior to Sequential Monadic
► ‘Dummy Shop’ Produces Better Data
► Spending Increases With Repeat Category Exposures
THE SCENE OF THE CRIME
A Rigorous Virtual Shopping Methodology
• n=1800 category buyers; Vision Critical Springboard America Panel
• 20-minute questionnaire online

Multiple Types of Tests Included (~N=200 per test)
• Multi-cell design, monadic and sequential monadic depending on test
• Point-in-time and longitudinal depending on test
• Online 2D full standard aisle/Online 3D full standard aisle
MONADIC IS
SUPERIOR TO
SEQUENTIAL
MONADIC
First, Second and Third Category Exposure Randomized




                    Variety of shelf configurations tested
               Both monadic and sequential monadic methods
                       Up to three shops per interview
        Respondent was received the same instructions before each shop

9
Monadic Is Superior to Sequential Monadic
                               In a sequential monadic design, the number of product views decreased
                               in the 2nd and 3rd shops; as did shop time
                               Basket size/spend statistically consistent across shops


                                                                                                                                     Shop Time
                                                                                             Purchases               Views   $ Spent   (min)


                           First Shop (A)                                                    2.3            6.4 B            $9.31     4.4 B




                  Second/Third Shop (B)                                                     2.2         3.7                  $8.80      1.6




     Note: 3 POGs tested in 3 positions – averages across the 3 shown on this page,
10   Uppercase letters indicate the number is statistically higher than other at 95% confidence level, lower case at 90%
Monadic Is Superior to Sequential Monadic


                                                              Sequential
               Monadic                                         Monadic

                Shorter               Survey length             Longer

                 More            Sample required                 Less




         Ideal when objectives                           Ideal for testing wide
     require full investigation the                    range of differences from
        shelf; Allows for greater                     aisle to aisle; When doing
      in-depth diagnostic follow-                     a ‘disaster check’ on major
       up questions/shopability;                       category/pricing changes
               Findability

11
‘DUMMY SHOPS’
PRODUCE
BETTER DATA
‘Dummy Shop’ Example Shelfset




     Prior to actual shop, ‘Dummy Shop’ with one cell of respondents
               Both cells shopped the same ‘actual’ Shelfset
          Both cells had similar instructions prior to ‘actual’ shop

13
‘Dummy Shops’ Produce Better Data
                               ‘Dummy Shop’ respondents spend less time during the ‘actual’ shop
                               But spending, basket size and examination behaviors are similar
                               Satisfaction data consistent as well

                                                                                                                                         Shop Time
                                                                                            Purchases               Views        $ Spent   (min)


                  With Dummy Shop (A)                                                       2.3              5.9                 $9.37      3.0




                Without Dummy Shop (B)                                                       2.4             5.8                 $9.58     3.6 B




14   Note: Uppercase letters indicate the number is statistically higher than other at 95% confidence level, lower case at 90%
‘Dummy Shops’ Produce Better Data



             Dummy Shop                                  No Dummy Shop

                  ×                     Cost                    
                  ×                 Time to set up              
          Longer (2 shopping
                                    Survey length             Shorter
              exercises)



          From a behavioral                          Suitable for most projects;
     standpoint, no real benefit;                     Detailed virtual shopping
     Takes away valuable survey                      instructions are sufficient
        real estate; Helpful for
           ‘disguising’ test

15
SPENDING INCREASES
WITH REPEAT
CATEGORY EXPOSURES
Longitudinal First, Second and Third Category Exposures




                            Same, full category layout in 2D
     Longitudinal sampling one week later and five weeks later (same respondents)
     Sample sizes reduced slightly each time (n=200 first; n=95 completed all three)
                             No package changes included
17
Spending Increases With Repeat Category Exposure
          Shoppers become familiar with the shelf in the first exposure
          Basket size & spending consistent
          There were no significant differences in the brands purchased
                                                                          Shop Time
                                        Purchases    Views   $ Spent        (min)

     First Exposure (A)               2.3      6.0            $9.29          2.9




      Second Exposure                                                        2.9
                                      2.2     4.4             $8.84
     (1 Week Later) (B)




       Third Exposure                 2.2     4.9
     (5 Weeks Later) (C)                                      $9.25          2.6


18
Spending Increases With Repeat Category Exposure




           One Exposure                           Repeat Exposure

              Shorter              Timeline             Longer

               Lower                Cost                Higher




     Suitable for most projects;                 Ideal for understanding
        Particularly in static                  impact on shopping over
             categories                       time; Seasonal categories &
                                                  changing competitive
                                                context; Package testing


19
VIRTUAL SHOPPING HYPOTHESES

► Monadic Is Superior to Sequential Monadic
► ‘Dummy Shop’ Produces Better Data
► Spending Increases With Repeat Category Exposures
Conclusions

                      Technology is never a substitute
                           for sound research design

     Match the technology to the business
     issues (and know when to say when!)


            Leveraging technology effectively can bring
                    innovation to the research process

21
Questions?

                Ideas for Future Waves?

Will be presenting Oct 1-3 at LEAD Marketing Conference

  See you at Shopper Insights in Action July 18th-20th !

More Related Content

Similar to Virtual Shopping Methodology Verdict

Virtual Shopping Mythbusters - Part 1
Virtual Shopping Mythbusters - Part 1Virtual Shopping Mythbusters - Part 1
Virtual Shopping Mythbusters - Part 1vcuniversity
 
ShopperGauge Overview
ShopperGauge OverviewShopperGauge Overview
ShopperGauge OverviewJon Kramer
 
Omni Channel Marketing Conference - Tim Fung
Omni Channel Marketing Conference - Tim FungOmni Channel Marketing Conference - Tim Fung
Omni Channel Marketing Conference - Tim FungTony Booth
 
Managing retail outlets
Managing retail outletsManaging retail outlets
Managing retail outletsbranding
 
Long tail- Democratize Production
Long tail- Democratize ProductionLong tail- Democratize Production
Long tail- Democratize Productionlatorrehugo
 
bpost crosschannel day - 22nov2012
bpost crosschannel day - 22nov2012bpost crosschannel day - 22nov2012
bpost crosschannel day - 22nov2012bpost
 
Group v mris u bend- o2 july12
Group v  mris u bend- o2 july12Group v  mris u bend- o2 july12
Group v mris u bend- o2 july12Sabir Samad
 
Digital Coupons, Jared Kean, Couponstar
Digital Coupons, Jared Kean, CouponstarDigital Coupons, Jared Kean, Couponstar
Digital Coupons, Jared Kean, CouponstarFDIH
 
Woe zaal a 16.30 17.00 Hybris
Woe zaal a 16.30 17.00 HybrisWoe zaal a 16.30 17.00 Hybris
Woe zaal a 16.30 17.00 Hybriswebwinkelvakdag
 
ECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a kingECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a kingguest457a0c1
 
ECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a kingECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a kingECR Community
 
Product and brand management ppt
Product and brand management pptProduct and brand management ppt
Product and brand management pptMukku Jakkaraiah
 
Entrepreneurship Education Experience - Bob Caspe (Aula 3)
Entrepreneurship Education Experience - Bob Caspe (Aula 3)Entrepreneurship Education Experience - Bob Caspe (Aula 3)
Entrepreneurship Education Experience - Bob Caspe (Aula 3)Cultura e Mercado
 
Epgp2009 10 group 3-cisi v3
Epgp2009 10 group 3-cisi v3Epgp2009 10 group 3-cisi v3
Epgp2009 10 group 3-cisi v3Rajendra Inani
 
Wish | Real : Project Report China
Wish | Real : Project Report ChinaWish | Real : Project Report China
Wish | Real : Project Report Chinarohitkuthiala
 
How your favorite retailers make money out of analytics
How your favorite retailers make money out of analyticsHow your favorite retailers make money out of analytics
How your favorite retailers make money out of analyticsSridhar Bollam
 

Similar to Virtual Shopping Methodology Verdict (20)

Virtual Shopping Mythbusters - Part 1
Virtual Shopping Mythbusters - Part 1Virtual Shopping Mythbusters - Part 1
Virtual Shopping Mythbusters - Part 1
 
ShopperGauge Overview
ShopperGauge OverviewShopperGauge Overview
ShopperGauge Overview
 
Mobile Couponing 101
Mobile Couponing 101Mobile Couponing 101
Mobile Couponing 101
 
Omni Channel Marketing Conference - Tim Fung
Omni Channel Marketing Conference - Tim FungOmni Channel Marketing Conference - Tim Fung
Omni Channel Marketing Conference - Tim Fung
 
Managing retail outlets
Managing retail outletsManaging retail outlets
Managing retail outlets
 
Long tail- Democratize Production
Long tail- Democratize ProductionLong tail- Democratize Production
Long tail- Democratize Production
 
General project management tips
General project management tipsGeneral project management tips
General project management tips
 
Shopping Occasion Segmentation
Shopping Occasion SegmentationShopping Occasion Segmentation
Shopping Occasion Segmentation
 
bpost crosschannel day - 22nov2012
bpost crosschannel day - 22nov2012bpost crosschannel day - 22nov2012
bpost crosschannel day - 22nov2012
 
Group v mris u bend- o2 july12
Group v  mris u bend- o2 july12Group v  mris u bend- o2 july12
Group v mris u bend- o2 july12
 
Digital Coupons, Jared Kean, Couponstar
Digital Coupons, Jared Kean, CouponstarDigital Coupons, Jared Kean, Couponstar
Digital Coupons, Jared Kean, Couponstar
 
Woe zaal a 16.30 17.00 Hybris
Woe zaal a 16.30 17.00 HybrisWoe zaal a 16.30 17.00 Hybris
Woe zaal a 16.30 17.00 Hybris
 
ECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a kingECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a king
 
ECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a kingECR Europe Forum '08. Shopper is a king
ECR Europe Forum '08. Shopper is a king
 
Product and brand management ppt
Product and brand management pptProduct and brand management ppt
Product and brand management ppt
 
Product management
Product managementProduct management
Product management
 
Entrepreneurship Education Experience - Bob Caspe (Aula 3)
Entrepreneurship Education Experience - Bob Caspe (Aula 3)Entrepreneurship Education Experience - Bob Caspe (Aula 3)
Entrepreneurship Education Experience - Bob Caspe (Aula 3)
 
Epgp2009 10 group 3-cisi v3
Epgp2009 10 group 3-cisi v3Epgp2009 10 group 3-cisi v3
Epgp2009 10 group 3-cisi v3
 
Wish | Real : Project Report China
Wish | Real : Project Report ChinaWish | Real : Project Report China
Wish | Real : Project Report China
 
How your favorite retailers make money out of analytics
How your favorite retailers make money out of analyticsHow your favorite retailers make money out of analytics
How your favorite retailers make money out of analytics
 

More from vcuniversity

Does Sample Source Matter? [Part 2]
Does Sample Source Matter? [Part 2]Does Sample Source Matter? [Part 2]
Does Sample Source Matter? [Part 2]vcuniversity
 
Does Sample Source Matter? [Part 1]
Does Sample Source Matter? [Part 1]Does Sample Source Matter? [Part 1]
Does Sample Source Matter? [Part 1]vcuniversity
 
What Pandora Means for Radio
What Pandora Means for RadioWhat Pandora Means for Radio
What Pandora Means for Radiovcuniversity
 
Blending New Research Techniques & Technologies
Blending New Research Techniques & TechnologiesBlending New Research Techniques & Technologies
Blending New Research Techniques & Technologiesvcuniversity
 
The Vox Populi on Canada’s Municipal Brands
The Vox Populi on Canada’s Municipal BrandsThe Vox Populi on Canada’s Municipal Brands
The Vox Populi on Canada’s Municipal Brandsvcuniversity
 
Stronger Research Reporting Using Visuals
Stronger Research Reporting Using VisualsStronger Research Reporting Using Visuals
Stronger Research Reporting Using Visualsvcuniversity
 
Respondent Engagement: Why do they respond anyway?
Respondent Engagement: Why do they respond anyway?Respondent Engagement: Why do they respond anyway?
Respondent Engagement: Why do they respond anyway?vcuniversity
 
Key Trends in Market Research (Stockholm, June 2012)
Key Trends in Market Research (Stockholm, June 2012)Key Trends in Market Research (Stockholm, June 2012)
Key Trends in Market Research (Stockholm, June 2012)vcuniversity
 
Driving Your Brand with Research Communities (Stockholm June 2012)
Driving Your Brand with Research Communities (Stockholm June 2012)Driving Your Brand with Research Communities (Stockholm June 2012)
Driving Your Brand with Research Communities (Stockholm June 2012)vcuniversity
 
What Clients & Customers Want
What Clients & Customers WantWhat Clients & Customers Want
What Clients & Customers Wantvcuniversity
 
Live Forum Results
Live Forum ResultsLive Forum Results
Live Forum Resultsvcuniversity
 
Keeping Customer Conversations Real
Keeping Customer Conversations RealKeeping Customer Conversations Real
Keeping Customer Conversations Realvcuniversity
 
Customer experience management
Customer experience managementCustomer experience management
Customer experience managementvcuniversity
 
Selling Panels Internally - Australia Post
Selling Panels Internally - Australia PostSelling Panels Internally - Australia Post
Selling Panels Internally - Australia Postvcuniversity
 
The Future of Research
The Future of Research The Future of Research
The Future of Research vcuniversity
 
B2B Community Panels
B2B Community PanelsB2B Community Panels
B2B Community Panelsvcuniversity
 
Multi-Language, Multi-Country B2B Community Panels
Multi-Language, Multi-Country B2B Community PanelsMulti-Language, Multi-Country B2B Community Panels
Multi-Language, Multi-Country B2B Community Panels vcuniversity
 
Vision Critical Mesh Conference Presentation
Vision Critical Mesh Conference PresentationVision Critical Mesh Conference Presentation
Vision Critical Mesh Conference Presentationvcuniversity
 

More from vcuniversity (20)

Does Sample Source Matter? [Part 2]
Does Sample Source Matter? [Part 2]Does Sample Source Matter? [Part 2]
Does Sample Source Matter? [Part 2]
 
Does Sample Source Matter? [Part 1]
Does Sample Source Matter? [Part 1]Does Sample Source Matter? [Part 1]
Does Sample Source Matter? [Part 1]
 
What Pandora Means for Radio
What Pandora Means for RadioWhat Pandora Means for Radio
What Pandora Means for Radio
 
Blending New Research Techniques & Technologies
Blending New Research Techniques & TechnologiesBlending New Research Techniques & Technologies
Blending New Research Techniques & Technologies
 
The Vox Populi on Canada’s Municipal Brands
The Vox Populi on Canada’s Municipal BrandsThe Vox Populi on Canada’s Municipal Brands
The Vox Populi on Canada’s Municipal Brands
 
Stronger Research Reporting Using Visuals
Stronger Research Reporting Using VisualsStronger Research Reporting Using Visuals
Stronger Research Reporting Using Visuals
 
Respondent Engagement: Why do they respond anyway?
Respondent Engagement: Why do they respond anyway?Respondent Engagement: Why do they respond anyway?
Respondent Engagement: Why do they respond anyway?
 
Key Trends in Market Research (Stockholm, June 2012)
Key Trends in Market Research (Stockholm, June 2012)Key Trends in Market Research (Stockholm, June 2012)
Key Trends in Market Research (Stockholm, June 2012)
 
Driving Your Brand with Research Communities (Stockholm June 2012)
Driving Your Brand with Research Communities (Stockholm June 2012)Driving Your Brand with Research Communities (Stockholm June 2012)
Driving Your Brand with Research Communities (Stockholm June 2012)
 
What Clients & Customers Want
What Clients & Customers WantWhat Clients & Customers Want
What Clients & Customers Want
 
Live Forum Results
Live Forum ResultsLive Forum Results
Live Forum Results
 
Keeping Customer Conversations Real
Keeping Customer Conversations RealKeeping Customer Conversations Real
Keeping Customer Conversations Real
 
Customer experience management
Customer experience managementCustomer experience management
Customer experience management
 
Selling Panels Internally - Australia Post
Selling Panels Internally - Australia PostSelling Panels Internally - Australia Post
Selling Panels Internally - Australia Post
 
Young Australians
Young AustraliansYoung Australians
Young Australians
 
Why Listen ESOMAR
Why Listen ESOMARWhy Listen ESOMAR
Why Listen ESOMAR
 
The Future of Research
The Future of Research The Future of Research
The Future of Research
 
B2B Community Panels
B2B Community PanelsB2B Community Panels
B2B Community Panels
 
Multi-Language, Multi-Country B2B Community Panels
Multi-Language, Multi-Country B2B Community PanelsMulti-Language, Multi-Country B2B Community Panels
Multi-Language, Multi-Country B2B Community Panels
 
Vision Critical Mesh Conference Presentation
Vision Critical Mesh Conference PresentationVision Critical Mesh Conference Presentation
Vision Critical Mesh Conference Presentation
 

Recently uploaded

DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 

Recently uploaded (20)

DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 

Virtual Shopping Methodology Verdict

  • 1. PART II: Methodological Considerations
  • 2. • The Motive: Why Did We Do This? • The Scene of the Crime: A Rigorous Virtual Testing Methodology • The Verdict: Virtual Shopping Hypotheses…and What Is Actually Real
  • 3. Global Leader in Pioneer in Immersive Community Panels Virtual Testing Intersection of Research & Technology Engaging Visual Data Visualization & Rapid Questions/ Exercises Online Reporting 3
  • 4. WHY DID WE DO THIS?
  • 5. THE MOTIVE • ‘Virtual Shopping’ is over a decade old – Vision Critical a pioneer, powering the industry • Lots of new technology, lots of theories – From super computer to notebook – From flat images to 3D modeling – From central location to online – From curiosity to key tool in category management • Real world validation is well documented, but no true ‘best practices’ for wide variety of virtual methods used We Wanted to Set The Record Straight!
  • 6. TODAY’S WEBINAR: THE VIRTUAL SHOPPING HYPOTHESES ► Monadic Is Superior to Sequential Monadic ► ‘Dummy Shop’ Produces Better Data ► Spending Increases With Repeat Category Exposures
  • 7. THE SCENE OF THE CRIME A Rigorous Virtual Shopping Methodology • n=1800 category buyers; Vision Critical Springboard America Panel • 20-minute questionnaire online Multiple Types of Tests Included (~N=200 per test) • Multi-cell design, monadic and sequential monadic depending on test • Point-in-time and longitudinal depending on test • Online 2D full standard aisle/Online 3D full standard aisle
  • 9. First, Second and Third Category Exposure Randomized Variety of shelf configurations tested Both monadic and sequential monadic methods Up to three shops per interview Respondent was received the same instructions before each shop 9
  • 10. Monadic Is Superior to Sequential Monadic In a sequential monadic design, the number of product views decreased in the 2nd and 3rd shops; as did shop time Basket size/spend statistically consistent across shops Shop Time Purchases Views $ Spent (min) First Shop (A) 2.3 6.4 B $9.31 4.4 B Second/Third Shop (B) 2.2 3.7 $8.80 1.6 Note: 3 POGs tested in 3 positions – averages across the 3 shown on this page, 10 Uppercase letters indicate the number is statistically higher than other at 95% confidence level, lower case at 90%
  • 11. Monadic Is Superior to Sequential Monadic Sequential Monadic Monadic Shorter Survey length Longer More Sample required Less Ideal when objectives Ideal for testing wide require full investigation the range of differences from shelf; Allows for greater aisle to aisle; When doing in-depth diagnostic follow- a ‘disaster check’ on major up questions/shopability; category/pricing changes Findability 11
  • 13. ‘Dummy Shop’ Example Shelfset Prior to actual shop, ‘Dummy Shop’ with one cell of respondents Both cells shopped the same ‘actual’ Shelfset Both cells had similar instructions prior to ‘actual’ shop 13
  • 14. ‘Dummy Shops’ Produce Better Data ‘Dummy Shop’ respondents spend less time during the ‘actual’ shop But spending, basket size and examination behaviors are similar Satisfaction data consistent as well Shop Time Purchases Views $ Spent (min) With Dummy Shop (A) 2.3 5.9 $9.37 3.0 Without Dummy Shop (B) 2.4 5.8 $9.58 3.6 B 14 Note: Uppercase letters indicate the number is statistically higher than other at 95% confidence level, lower case at 90%
  • 15. ‘Dummy Shops’ Produce Better Data Dummy Shop No Dummy Shop × Cost  × Time to set up  Longer (2 shopping Survey length Shorter exercises) From a behavioral Suitable for most projects; standpoint, no real benefit; Detailed virtual shopping Takes away valuable survey instructions are sufficient real estate; Helpful for ‘disguising’ test 15
  • 17. Longitudinal First, Second and Third Category Exposures Same, full category layout in 2D Longitudinal sampling one week later and five weeks later (same respondents) Sample sizes reduced slightly each time (n=200 first; n=95 completed all three) No package changes included 17
  • 18. Spending Increases With Repeat Category Exposure Shoppers become familiar with the shelf in the first exposure Basket size & spending consistent There were no significant differences in the brands purchased Shop Time Purchases Views $ Spent (min) First Exposure (A) 2.3 6.0 $9.29 2.9 Second Exposure 2.9 2.2 4.4 $8.84 (1 Week Later) (B) Third Exposure 2.2 4.9 (5 Weeks Later) (C) $9.25 2.6 18
  • 19. Spending Increases With Repeat Category Exposure One Exposure Repeat Exposure Shorter Timeline Longer Lower Cost Higher Suitable for most projects; Ideal for understanding Particularly in static impact on shopping over categories time; Seasonal categories & changing competitive context; Package testing 19
  • 20. VIRTUAL SHOPPING HYPOTHESES ► Monadic Is Superior to Sequential Monadic ► ‘Dummy Shop’ Produces Better Data ► Spending Increases With Repeat Category Exposures
  • 21. Conclusions Technology is never a substitute for sound research design Match the technology to the business issues (and know when to say when!) Leveraging technology effectively can bring innovation to the research process 21
  • 22. Questions? Ideas for Future Waves? Will be presenting Oct 1-3 at LEAD Marketing Conference See you at Shopper Insights in Action July 18th-20th !