SIS International’s B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
The Shift From Traffic Metrics to Decision-Grade E-commerce Market Research
Clickstream data tells you what happened on your properties. It does not tell you what happened on Amazon, TikTok Shop, MercadoLibre, Shopee, or in the ChatGPT product recommendation that never touched your analytics stack. Leaders now commission research designed around the full path to purchase across owned, earned, and rented channels.
Three inputs matter most: comparative shopper studies across marketplaces, qualitative diagnosis of cart abandonment triggers, and quantified digital shelf audits benchmarking search rank, content quality, review velocity, and buy box share. Together these feed online shopper journey analytics that operators can act on within a quarter.
According to SIS International Research, in-depth interviews with e-commerce users across regional marketplaces consistently surface two decisive purchase drivers that platform data underweights: perceived origin trust of the seller and clarity of the return path. Shoppers describe both before they describe price.
DTC Channel Economics Analysis: Where the Real Margin Lives
Direct-to-consumer looked like a margin escape hatch. It is now a discipline. CAC payback has extended, paid social efficiency has compressed, and iOS attribution changes stripped out the measurement scaffolding many brands were built on. Rigorous DTC channel economics analysis has replaced growth-at-all-costs modeling.
The operators winning here run three studies in parallel: a contribution margin decomposition by cohort and SKU, a wholesale-versus-DTC channel conflict assessment, and a subscription retention diagnostic that separates habit-driven repeat from discount-driven repeat. Brands like Warby Parker, Allbirds, and Glossier each recalibrated their retail-DTC mix based on this kind of evidence.
Market research for launching a DTC brand now begins with unit economics stress testing before creative development. If the LTV-to-CAC ratio does not survive a paid channel cost increase of thirty percent, the launch plan gets rebuilt. This is a discipline shift the category needed.
What Makes Shoppers Buy Online
Share of online shoppers who say each factor strongly influences where and whether they buy, pointing to where experience investment pays off
Source 1: Online Shopper Priorities Survey
Source 2: SIS International E-Commerce Market Research
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
The Shift From Traffic Metrics to Decision-Grade E-commerce Market Research
Clickstream data tells you what happened on your properties. It does not tell you what happened on Amazon, TikTok Shop, MercadoLibre, Shopee, or in the ChatGPT product recommendation that never touched your analytics stack. Leaders now commission research designed around the full path to purchase across owned, earned, and rented channels.
Three inputs matter most: comparative shopper studies across marketplaces, qualitative diagnosis of cart abandonment triggers, and quantified digital shelf audits benchmarking search rank, content quality, review velocity, and buy box share. Together these feed online shopper journey analytics that operators can act on within a quarter.
According to SIS International Research, in-depth interviews with e-commerce users across regional marketplaces consistently surface two decisive purchase drivers that platform data underweights: perceived origin trust of the seller and clarity of the return path. Shoppers describe both before they describe price.
DTC Channel Economics Analysis: Where the Real Margin Lives
Direct-to-consumer looked like a margin escape hatch. It is now a discipline. CAC payback has extended, paid social efficiency has compressed, and iOS attribution changes stripped out the measurement scaffolding many brands were built on. Rigorous DTC channel economics analysis has replaced growth-at-all-costs modeling.
The operators winning here run three studies in parallel: a contribution margin decomposition by cohort and SKU, a wholesale-versus-DTC channel conflict assessment, and a subscription retention diagnostic that separates habit-driven repeat from discount-driven repeat. Brands like Warby Parker, Allbirds, and Glossier each recalibrated their retail-DTC mix based on this kind of evidence.
Market research for launching a DTC brand now begins with unit economics stress testing before creative development. If the LTV-to-CAC ratio does not survive a paid channel cost increase of thirty percent, the launch plan gets rebuilt. This is a discipline shift the category needed.
What Makes Shoppers Buy Online
Share of online shoppers who say each factor strongly influences where and whether they buy, pointing to where experience investment pays off
Source 1: Online Shopper Priorities Survey
Source 2: SIS International E-Commerce Market Research
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
The Shift From Traffic Metrics to Decision-Grade E-commerce Market Research
Clickstream data tells you what happened on your properties. It does not tell you what happened on Amazon, TikTok Shop, MercadoLibre, Shopee, or in the ChatGPT product recommendation that never touched your analytics stack. Leaders now commission research designed around the full path to purchase across owned, earned, and rented channels.
Three inputs matter most: comparative shopper studies across marketplaces, qualitative diagnosis of cart abandonment triggers, and quantified digital shelf audits benchmarking search rank, content quality, review velocity, and buy box share. Together these feed online shopper journey analytics that operators can act on within a quarter.
According to SIS International Research, in-depth interviews with e-commerce users across regional marketplaces consistently surface two decisive purchase drivers that platform data underweights: perceived origin trust of the seller and clarity of the return path. Shoppers describe both before they describe price.
DTC Channel Economics Analysis: Where the Real Margin Lives
Direct-to-consumer looked like a margin escape hatch. It is now a discipline. CAC payback has extended, paid social efficiency has compressed, and iOS attribution changes stripped out the measurement scaffolding many brands were built on. Rigorous DTC channel economics analysis has replaced growth-at-all-costs modeling.
The operators winning here run three studies in parallel: a contribution margin decomposition by cohort and SKU, a wholesale-versus-DTC channel conflict assessment, and a subscription retention diagnostic that separates habit-driven repeat from discount-driven repeat. Brands like Warby Parker, Allbirds, and Glossier each recalibrated their retail-DTC mix based on this kind of evidence.
Market research for launching a DTC brand now begins with unit economics stress testing before creative development. If the LTV-to-CAC ratio does not survive a paid channel cost increase of thirty percent, the launch plan gets rebuilt. This is a discipline shift the category needed.
What Makes Shoppers Buy Online
Share of online shoppers who say each factor strongly influences where and whether they buy, pointing to where experience investment pays off
Source 1: Online Shopper Priorities Survey
Source 2: SIS International E-Commerce Market Research
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
The Shift From Traffic Metrics to Decision-Grade E-commerce Market Research
Clickstream data tells you what happened on your properties. It does not tell you what happened on Amazon, TikTok Shop, MercadoLibre, Shopee, or in the ChatGPT product recommendation that never touched your analytics stack. Leaders now commission research designed around the full path to purchase across owned, earned, and rented channels.
Three inputs matter most: comparative shopper studies across marketplaces, qualitative diagnosis of cart abandonment triggers, and quantified digital shelf audits benchmarking search rank, content quality, review velocity, and buy box share. Together these feed online shopper journey analytics that operators can act on within a quarter.
According to SIS International Research, in-depth interviews with e-commerce users across regional marketplaces consistently surface two decisive purchase drivers that platform data underweights: perceived origin trust of the seller and clarity of the return path. Shoppers describe both before they describe price.
DTC Channel Economics Analysis: Where the Real Margin Lives
Direct-to-consumer looked like a margin escape hatch. It is now a discipline. CAC payback has extended, paid social efficiency has compressed, and iOS attribution changes stripped out the measurement scaffolding many brands were built on. Rigorous DTC channel economics analysis has replaced growth-at-all-costs modeling.
The operators winning here run three studies in parallel: a contribution margin decomposition by cohort and SKU, a wholesale-versus-DTC channel conflict assessment, and a subscription retention diagnostic that separates habit-driven repeat from discount-driven repeat. Brands like Warby Parker, Allbirds, and Glossier each recalibrated their retail-DTC mix based on this kind of evidence.
Market research for launching a DTC brand now begins with unit economics stress testing before creative development. If the LTV-to-CAC ratio does not survive a paid channel cost increase of thirty percent, the launch plan gets rebuilt. This is a discipline shift the category needed.
What Makes Shoppers Buy Online
Share of online shoppers who say each factor strongly influences where and whether they buy, pointing to where experience investment pays off
Source 1: Online Shopper Priorities Survey
Source 2: SIS International E-Commerce Market Research
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
E-Commerce Market Research
The best e-commerce operators treat the digital shelf as a live P&L, not a marketing surface. Every impression, price test, and review flag ties back to margin. E-commerce market research is what closes the loop between what shoppers do and what leadership decides.
The category has matured past dashboard reporting. Retail media, marketplace intermediation, and generative search have made buyer behavior harder to read from platform analytics alone. Winning teams pair transactional data with structured primary research to explain the "why" behind the numbers, then act on it before competitors do.
Table of Contents
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
The Shift From Traffic Metrics to Decision-Grade E-commerce Market Research
Clickstream data tells you what happened on your properties. It does not tell you what happened on Amazon, TikTok Shop, MercadoLibre, Shopee, or in the ChatGPT product recommendation that never touched your analytics stack. Leaders now commission research designed around the full path to purchase across owned, earned, and rented channels.
Three inputs matter most: comparative shopper studies across marketplaces, qualitative diagnosis of cart abandonment triggers, and quantified digital shelf audits benchmarking search rank, content quality, review velocity, and buy box share. Together these feed online shopper journey analytics that operators can act on within a quarter.
According to SIS International Research, in-depth interviews with e-commerce users across regional marketplaces consistently surface two decisive purchase drivers that platform data underweights: perceived origin trust of the seller and clarity of the return path. Shoppers describe both before they describe price.
DTC Channel Economics Analysis: Where the Real Margin Lives
Direct-to-consumer looked like a margin escape hatch. It is now a discipline. CAC payback has extended, paid social efficiency has compressed, and iOS attribution changes stripped out the measurement scaffolding many brands were built on. Rigorous DTC channel economics analysis has replaced growth-at-all-costs modeling.
The operators winning here run three studies in parallel: a contribution margin decomposition by cohort and SKU, a wholesale-versus-DTC channel conflict assessment, and a subscription retention diagnostic that separates habit-driven repeat from discount-driven repeat. Brands like Warby Parker, Allbirds, and Glossier each recalibrated their retail-DTC mix based on this kind of evidence.
Market research for launching a DTC brand now begins with unit economics stress testing before creative development. If the LTV-to-CAC ratio does not survive a paid channel cost increase of thirty percent, the launch plan gets rebuilt. This is a discipline shift the category needed.
What Makes Shoppers Buy Online
Share of online shoppers who say each factor strongly influences where and whether they buy, pointing to where experience investment pays off
Source 1: Online Shopper Priorities Survey
Source 2: SIS International E-Commerce Market Research
E-commerce Competitive Intelligence and Digital Shelf Optimization Research
The digital shelf is where category management happens now. Search rank on Amazon, sponsored placement on Walmart Connect, PDP content scoring, review sentiment, and buy box ownership determine whether a SKU converts at scale or dies quietly. Digital shelf optimization research turns these variables into a priority list the commercial team can execute against.
Competitive intelligence in e-commerce has three tiers. Tier one is public: pricing scrapers, review mining, ad spend estimators. Tier two is structural: mapping which retailers a competitor prioritizes, which fulfillment partners they use, which retail media networks they concentrate spend on. Tier three is human: expert interviews with former category managers, agency partners, and platform account executives. Tier three is where the non-obvious insight lives.
SIS International's B2B expert interview work across e-commerce and marketplace categories indicates that competitor share shifts are typically visible in review volume acceleration and PDP content refresh cadence six to eight weeks before they appear in Nielsen or Circana scanner data.
Where the World Shops Online
Share of global e-commerce revenue by region, showing how far the center of online retail has shifted toward Asia-Pacific
Source 1: Global E-Commerce Market Share by Region
Source 2: SIS International E-Commerce Market Research
Opportunities and Challenges
Opportunities exist in creating premium experiences. Boosting the customer experience with chat bots and creating personalized video content / ads or the rise of AI to analyze data are just a few examples of ways E-Commerce companies are keeping up with rising demand.
App developers have to address multiple challenges such as decreasing return rates and keeping up with the pace of the industry. Companies need to keep up with new technological innovation. Customers increasingly want personalization and an optimized user experience. Apps need to turn immense volumes of data into actionable insights.
Assortment Rationalization and Private Label Threat Assessment
SKU proliferation is the quiet killer of e-commerce margin. Long tails feel like optionality until warehouse slotting, ad spend dilution, and content maintenance costs are honestly allocated. E-commerce assortment rationalization uses velocity data, cross-elasticity modeling, and shopper substitution research to identify SKUs that can be cut without revenue loss.
Assessing private label competitive threat online is a distinct exercise. Amazon Basics, Walmart's Great Value expansion into non-food, and Target's Good & Gather have all demonstrated that platform-owned brands can capture share fastest in categories with high review parity and low brand-driven search. Research here quantifies switching risk at the SKU level, not the category level.
| Research Input | Decision It Informs | Typical Cadence |
|---|---|---|
| Digital shelf audit | Content, SEO, retail media allocation | Quarterly |
| Shopper journey IDIs | PDP redesign, checkout flow | Semi-annual |
| DTC cohort economics | Channel mix, paid media caps | Monthly |
| Competitive expert interviews | Category strategy, M&A | Annual or event-driven |
| Private label substitution study | Pricing architecture, innovation | Annual |
Source: SIS International Research
E-Commerce Innovation trends
- Augmented Reality (AR)
- Artificial Intelligence (AI)
- Auto-replenishment
- Chat bots
- CX and in-store experience simulations
- Data Science
- Differentiation
- Loss prevention
- Mobile Wallet
- Premium Membership
- Same Day Delivery
- Seasonal Shopping events (e.g. Amazon Prime Day)
- Sensory marketing
- UX and User Experience Optimization
- Video Marketing
Customer Segmentation Models for E-commerce Built for Action
Segmentation is only useful if the commercial team can find the segments in the wild. The strongest customer segmentation models for e-commerce combine attitudinal clusters from survey data with behavioral overlays from first-party CRM and platform audiences. This makes segments addressable in Meta, Google, Amazon DSP, and CTV, not just describable in a slide.
The analytical mistake to avoid is segmenting on demographics alone. Occasion, basket composition, and price sensitivity predict e-commerce behavior far more reliably than age or income brackets. This is a pattern SIS has seen replicate across categories from consumer electronics to beauty to pet supplies over the past decade of segmentation engagements.
The SIS Perspective
SIS International Research has conducted e-commerce and marketplace studies across more than 135 countries, spanning shopper journey diagnostics, DTC feasibility, fulfillment center demand modeling, and competitive intelligence programs for platforms and challenger brands. The consistent finding across that work: the operators who commission primary research on a quarterly cadence outmaneuver those who rely on platform analytics alone, because the questions that matter to leadership rarely appear in a dashboard.
E-commerce market research is no longer a supporting function. It is how category leaders defend margin, identify white space, and time channel investment. The next competitive advantage is not more data. It is better questions asked of the right shoppers, buyers, and category experts.
About E-Commerce Market Research
E-Commerce companies face many opportunities and challenges that E-Commerce Market Research uncovers. Traditional retailers are evolving to embrace E-Commerce.
E-Commerce Market Research solutions include:
- Customer Insights
- Customer Video Interviews
- Segmentation
- UX Research
- New Concept Research
- Market Opportunity & Entry
- Online Communities
- Mobile Ethnography
- Mobile Surveys
FAQs
What is e-commerce market research?
How is e-commerce market research different from web analytics?
What should DTC brands measure before launching?
How do you measure private label threat in e-commerce?
How often should e-commerce competitive intelligence be refreshed?
Our Facility Location in New York
11 E 22nd Street, Floor 2, New York, NY 10010 T: +1(212) 505-6805
About SIS International
SIS International offers Quantitative, Qualitative, and Strategy Research. We provide data, tools, strategies, reports, and insights for decision-making. We also conduct interviews, surveys, focus groups, and other Market Research methods and approaches. Contact us for your next Market Research project.
