모든 템플릿

Consumer Personalization Comfort, Privacy & Fatigue Assessment

Measures consumer comfort with personalized content, identifies privacy boundaries and data-sharing thresholds, and pinpoints messaging frequency limits to help marketing teams calibrate personalization strategies without triggering fatigue or backlash.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 28개 · 약 12분
Q01
메시지

Welcome! This survey explores your experiences with personalized content and offers from companies—things like tailored recommendations, targeted ads, and customized emails. It should take approximately 8–10 minutes. Your responses are confidential and will be reported only in aggregate. Participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers; we are simply interested in your honest opinions.

Q02
객관식

In the past 30 days, have you noticed content or offers that seemed tailored specifically to you?

  • Yes, multiple times
  • Yes, once or twice
  • Not that I recall
Q03
의견 척도

Overall, how comfortable are you with companies personalizing content or offers for you?

척도: 17
최소:Not at all comfortable최대:Extremely comfortable
Q04
객관식

What concerns, if any, do you have about personalization? Select all that apply.

  • Too much data collected about me
  • Feeling tracked across sites or apps
  • Inaccurate assumptions about me
  • Seeing less variety of content (filter bubble)
  • Too many messages or notifications
  • Data shared with third parties
  • Security or data breach risks
  • Difficulty controlling or opting out
  • None
  • Other
Q05
드롭다운

What is the maximum number of personalized marketing emails per week you would find acceptable?

  • 0 (none)
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6–10
  • More than 10
  • I don't mind any amount
Q06
순위 매기기

Rank the following aspects of personalization from most important to you (top) to least important (bottom).

  1. Relevance of content and offers
  2. Control and transparency over my data
  3. Privacy protection
  4. Discounts and savings
  5. Fewer messages overall
  6. Discovery of new products and ideas
드래그하여 순위 지정
Q07
드롭다운

What is your age?

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

Thank you for completing this survey! Your feedback helps us understand where personalization adds value and where it should be adjusted. Your responses are confidential and will be reported only in aggregate.

Q09
객관식

Where have you noticed personalized content or offers in the past 30 days? Select all that apply.

  • Email
  • Website banners or recommendations
  • Mobile app
  • Social media ads or posts
  • Search ads
  • In-store or receipt coupons
  • SMS or push notifications
  • Streaming services
  • Other
Q10
의견 척도

How valuable do you find personalized content or offers in your day-to-day life?

척도: 17
최소:Not at all valuable최대:Extremely valuable
Q11
순위 매기기

Rank the following potential deal-breakers from biggest concern (top) to least concern (bottom).

  1. Using sensitive data (e.g., health or finance)
  2. Sharing my data with third parties
  3. Personalized pricing (charging me more)
  4. Messages that follow me across sites
  5. Using my friends or contacts to target me
  6. Predicting things I haven't explicitly shared
드래그하여 순위 지정
Q12
드롭다운

What is the maximum number of personalized app push notifications per week you would find acceptable?

  • 0 (none)
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6–10
  • More than 10
  • I don't mind any amount
Q13
장문형

Describe a recent moment when personalization felt especially helpful—or unsettling—and why.

Q14
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q15
의견 척도

I am willing to share some personal data if it means I receive more relevant content and offers.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q16
객관식

Which of the following data types would you be comfortable with a company using to personalize your experience? Select all that apply.

  • Basic demographics (age range, region)
  • Past purchases
  • On-site or in-app browsing behavior
  • Interests I explicitly selected
  • Device type
  • Location (city-level)
  • Precise location (GPS)
  • Contacts or friends list
  • Health or financial information
  • Search history
  • None of the above
Q17
객관식

Which of the following personalization practices would cross a line for you? Select all that apply.

  • Referencing my precise location within the last hour
  • Using private messages to target me
  • Using health information for ads
  • Using my microphone or camera for targeting
  • Referencing a recent life event obtained from a data broker
  • Charging different prices based on my profile
  • Ads that follow me after viewing a competitor's site
  • None of these
  • Other
Q18
AI 인터뷰

We'd like to understand your personalization experiences in more depth. An AI moderator will ask you a couple of follow-up questions about your comfort levels and boundaries with personalized content.

Q19
드롭다운

In which region do you currently live?

  • United States
  • Canada
  • United Kingdom
  • European Union / EEA
  • Australia or New Zealand
  • India
  • Southeast Asia
  • East Asia
  • Central Asia
  • Middle East / North Africa
  • Sub-Saharan Africa
  • Latin America / Caribbean
  • Other
  • Prefer not to say
Q20
의견 척도

I trust most companies to use my personal data responsibly when personalizing content.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q21
객관식

Do you actively adjust settings to limit or control how companies personalize content for you?

  • Yes, often
  • Sometimes
  • Rarely
  • Never
  • I wasn't aware of these settings
Q22
장문형

Based on your responses in this survey, please share any additional thoughts or feelings about personalization, privacy, or messaging frequency.

Q23
드롭다운

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
  • Graduate or professional degree
  • Other
  • Prefer not to say
Q24
의견 척도

Personalized content often feels intrusive rather than helpful to me.

척도: 17
최소:Strongly disagree최대:Strongly agree
Q25
객관식

Which of the following privacy or personalization controls have you used? Select all that apply.

  • Turn off ad personalization (Google, Meta, etc.)
  • Limit ad tracking in device settings
  • Decline or manage cookies
  • Unsubscribe from marketing emails
  • Use private browsing or ad blockers
  • Adjust app permissions (location, contacts, etc.)
  • Request data deletion or opt out of data sale/sharing
  • Other
Q26
객관식

What is your current employment status?

  • Full-time
  • Part-time
  • Self-employed
  • Student
  • Homemaker / caregiver
  • Retired
  • Not currently employed
  • Prefer not to say
Q27
객관식

Which potential benefits of personalization matter most to you? Select all that apply.

  • Saves me time
  • Surfaces relevant products or content
  • Reduces irrelevant messages
  • Better discounts or rewards
  • Helps me discover new things
  • Feels more personal and tailored
  • None of these
  • Other
Q28
드롭다운

Which channel do you most prefer for receiving personalized offers?

  • Email
  • SMS or text message
  • Mobile app notification
  • On the website when I log in
  • Social media
  • In-store or on receipt
  • Browser notifications
  • No preference
  • None — I prefer not to receive personalized offers

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes explicit privacy-boundary questions (which data types respondents would let a company use) rather than only general attitude items
  • Quantifies fatigue thresholds directly, asking for the maximum number of personalized emails and push notifications per week respondents would tolerate
  • Combines closed-ended comfort/trust scales and ranking of deal-breakers with an AI follow-up interview that can adaptively probe why a moment of personalization felt helpful or unsettling
  • Produces an auto-generated report summarizing comfort levels, privacy thresholds, and channel/frequency preferences for marketing teams, with transparent visibility into the AI's interview prompts

SurveyMonkey

Consumer Behavior Survey Template

This is a general-purpose consumer behavior template covering broad purchasing and preference questions rather than a dedicated instrument for personalization comfort, privacy boundaries, or messaging fatigue. It's a ready-to-field static template on an established platform, but teams would need to heavily customize it to get at data-sharing thresholds or notification frequency limits. Useful as a generic starting point, not a purpose-built personalization/privacy assessment.

잘하는 점

  • Backed by a well-known, widely used survey platform with broad template library
  • Ready to deploy quickly for general consumer behavior research
  • Likely supports standard question types and basic reporting/analytics

아쉬운 점

  • Static question set with no adaptive AI follow-up to probe individual respondent answers in depth
  • No mechanism for automated per-response quality scoring
  • Not designed to isolate specific privacy data-sharing thresholds or messaging frequency limits the way a personalization-focused template does

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