All templates
Research

E-Commerce Buyer Persona & Channel Preference Survey

Segments online shoppers by purchase behavior, experience drivers, and communication channel preferences. Use this to build data-driven buyer personas and optimize channel strategy for e-commerce brands.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

21 questions · ~10 min
Q01
Message

Welcome! This survey explores your online shopping habits and communication preferences. It takes approximately 6–8 minutes to complete. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential and will be reported only in aggregate. By continuing, you consent to participate in this research.

Q02
Multiple Choice

In the past 3 months, have you purchased any products online?

  • Yes
  • No
Q03
Dropdown

On average, how often do you purchase products online?

  • Multiple times a week
  • About once a week
  • 2–3 times a month
  • About once a month
  • Less than once a month
Q04
Ranking

Please rank the following factors by how much they influence which online store you choose. (Drag to reorder; 1 = most important.)

  1. Lowest total price
  2. Fast and reliable shipping
  3. Product reviews and ratings
  4. Easy, free returns
  5. Brand trust
  6. Wide product selection
Drag to rank
Q05
Multiple Choice

Where do you typically discover new online stores or products? (Select all that apply.)

  • Search engines (organic results)
  • Search ads
  • Facebook or Instagram ads
  • TikTok content or ads
  • YouTube videos or ads
  • Influencers or blogs
  • Email newsletters
  • SMS or text messages
  • Brand app push notifications
  • Marketplace recommendations (e.g., Amazon, eBay)
  • Word of mouth
  • Physical retail stores
  • Other
Q06
Long Text

Based on your responses in this survey, is there anything else about your online shopping experience or brand communication preferences you would like to share?

Q07
Dropdown

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q08
Message

Thank you for completing this survey. Your responses will be used to improve online shopping experiences and will be reported only in aggregate. You may now close this window.

Q09
Multiple Choice

Which product categories do you most often purchase online? (Select all that apply.)

  • Electronics and accessories
  • Clothing and footwear
  • Beauty and personal care
  • Groceries
  • Home and kitchen
  • Health and wellness
  • Toys and games
  • Sporting goods
  • Auto parts and accessories
  • Pet supplies
  • Books and media
  • Other
Q10
Multiple Choice

In the past 6 months, which of the following issues have frustrated you when shopping online? (Select all that apply.)

  • Unclear total cost until checkout
  • Slow delivery times
  • Complicated returns
  • Confusing sizing or fit information
  • Low stock or out-of-stock items
  • Website or app errors and crashes
  • Hard to find trustworthy reviews
  • Payment security concerns
  • Too many promotional emails or texts
  • None of the above
Q11
Ranking

Of those channels, which are most effective at getting you to actually visit a product page? (Drag to reorder; 1 = most effective.)

  1. Search engines
  2. Social media ads (Facebook, Instagram, TikTok)
  3. YouTube videos or ads
  4. Influencers or blogs
  5. Email newsletters
  6. SMS or text messages
  7. Marketplace recommendations
  8. Word of mouth
Drag to rank
Q12
AI Interview

We'd like to understand a bit more about how you decide where to shop online. An AI moderator will ask you a couple of brief follow-up questions.

Q13
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q14
Dropdown

Approximately how much did you spend on online purchases in the last 30 days?

  • $0 (no purchases)
  • $1–$49
  • $50–$99
  • $100–$199
  • $200–$499
  • $500–$999
  • $1,000 or more
  • Prefer not to say
Q15
Multiple Choice

After your first purchase with a brand, how would you most prefer they contact you, if at all?

  • Email
  • SMS or text
  • App push notifications
  • WhatsApp or Facebook Messenger
  • In-marketplace messages (e.g., Amazon)
  • No ongoing messages
Q16
Dropdown

In which region do you currently live?

  • United States
  • Canada
  • United Kingdom
  • European Union
  • Australia/New Zealand
  • India
  • Southeast Asia
  • Latin America
  • Middle East/North Africa
  • Sub-Saharan Africa
  • Other
Q17
Dropdown

How often is it acceptable for a brand you like to send you messages?

  • A few times per week
  • About once per week
  • 2–3 times per month
  • About once per month
  • Less than once per month
  • Only after I make a purchase
  • Never
Q18
Dropdown

What is the highest level of education you have completed?

  • Less than high school
  • High school or equivalent
  • Some college, no degree
  • Associate degree
  • Bachelor's degree
  • Master's degree
  • Doctorate
  • Other
  • Prefer not to say
Q19
Opinion Scale

How comfortable are you with brands using your online activity data to personalize the offers you see?

Scale: 17
Min:Very uncomfortableMax:Very comfortable
Q20
Dropdown

What is your current employment status?

  • Employed full-time
  • Employed part-time
  • Self-employed
  • Student
  • Homemaker/Caregiver
  • Retired
  • Unemployed, looking for work
  • Not in labor force
  • Prefer not to say
Q21
Dropdown

What is your approximate annual household income (in USD)?

  • Under $25,000
  • $25,000–$49,999
  • $50,000–$74,999
  • $75,000–$99,999
  • $100,000–$149,999
  • $150,000 or more
  • Prefer not to say

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

Related templates

More studies from the same category.

See all
Research

Fintech App User Behavior & Needs Segmentation Survey

Segments financial app users by usage behavior, feature priorities, trust levels, and demographics to build data-driven personas and inform product strategy.

View template
Research

E-Commerce Last-Visit Session Diagnostic Survey

Maps the complete journey of a customer's most recent e-commerce session—from intent and actions to friction points and blockers—to diagnose conversion drop-off and prioritize UX improvements.

View template
Research

Experimentation Maturity & Data Trust Assessment

Measures A/B testing ease-of-use, guardrail adoption, result trust, and decision confidence among product and engineering teams. Use it to identify friction points, governance gaps, and training needs to scale experimentation.

View template
Research

E-Commerce Shopping Diary Study: 14-Day Behavioral Log

A structured 3-entry diary study for UX researchers to capture real online shopping journeys, friction points, and purchase decision drivers over a 14-day period.

View template
Research

Academic Researcher Experience & Support Survey

Measures how graduate students, postdocs, and faculty actually spend their research time, and how well funding, mentorship, protected time, and collaboration support their work. An AI follow-up interview digs into the single biggest obstacle each respondent names, reconstructing a concrete recent example instead of a vague complaint. Built for research offices, deans, and PIs benchmarking research support.

View template
Research

Participant Screener & Demographics

A clean recruiting screener: knock-out questions first, quota-ready demographics, an attention check, and an articulation check that verifies participants can give the rich answers qualitative research needs. Designed to disqualify politely and comply with prefer-not-to-say norms.

View template