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Returning Customer Satisfaction & Loyalty Drivers Survey

Measures how satisfied repeat customers are with their most recent purchase or interaction, what keeps them coming back, and early signs of switching risk. An AI follow-up interview digs into the real story behind their satisfaction rating and any hesitation to stay loyal, surfacing specifics a scale alone can't capture. Built for retention and CX teams tracking existing customers rather than first-time buyers.

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샘플 질문

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질문 12개 · 약 7분
Q01
메시지

Thanks for being a returning customer! We'd love to hear how things have been going lately. Your responses are completely confidential and anonymized. This will take about 5 minutes and your honest feedback helps us serve you better.

Q02
객관식필수

In the past 12 months, how many times have you purchased from us?

  • Once
  • 2-3 times
  • 4-6 times
  • 7 or more times
Q03
의견 척도필수

Overall, how satisfied were you with your most recent purchase or interaction with us?

척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q04
의견 척도필수

How likely are you to recommend us to a friend or colleague?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q05
매트릭스필수

Thinking about your recent experience, how much do you agree with each statement?

4개 행 × 5개 열
  • The product/service quality met my expectations
  • Customer service was helpful when I needed it
  • I feel I get good value for what I pay
  • It's easy to reorder or come back as a customer
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
객관식필수

What is the main reason you keep coming back to us instead of trying alternatives?

  • Product/service quality
  • Price or value
  • Convenience or habit
  • Customer service experience
  • Trust built over time
  • Lack of a better alternative
Q07
최선·최악 선택형(MaxDiff)필수

When deciding whether to keep buying from a company like us, which of these factors matter most and least to you?

  • Product/service quality
  • Price
  • Customer service responsiveness
  • Ease of ordering or reordering
  • Loyalty rewards or perks
  • Delivery/fulfillment speed
  • Consistency across visits
  • Brand trust and reputation
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q08
객관식필수

In the last 90 days, have you seriously considered switching to a competitor?

  • Yes, seriously considered it
  • Briefly thought about it
  • No, haven't considered it
Q09
AI 인터뷰

Reconstruct the real story behind this customer's satisfaction rating and repeat-purchase behavior: ask what specifically happened in their most recent interaction that shaped how they feel, anchoring on the rating they gave. If they said they've considered switching to a competitor, probe what triggered that thought, what almost pushed them to leave, and what would need to change to remove that doubt entirely. If their rating was high, probe whether there's anything that could still make them leave despite feeling satisfied.

Q10
장문형

Is there anything else about your recent experience with us you'd like us to know?

Q11
객관식

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q12
메시지

Thank you for sharing your experience! Your answers will be combined with feedback from other returning customers to shape improvements to our products and service.

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

  • Goes beyond a single satisfaction score with an AI follow-up interview that reconstructs the real story behind each customer's rating and any hesitation to stay loyal — something a static scale or matrix question can't surface.
  • Purpose-built for repeat customers, not first-time buyers: it opens by asking purchase frequency, then uses a matrix, max-diff on loyalty factors, and a direct switching-risk question to map retention drivers specifically.
  • Combines quantitative structure (opinion scales, matrix, max-diff, multiple choice) with open-ended long-text and adaptive AI probing in one flow, then auto-generates a report so CX teams don't have to manually code responses.
  • Transparent prompts mean retention teams can see exactly what the AI asked and why, rather than trusting a black-box scoring or sentiment engine.

SurveyMonkey

Customer Satisfaction Survey Template For Returning Customers

This is a directly comparable, purpose-built template for returning customers, matching QuestionPunk's audience focus. It's a fielding-ready static survey template rather than an interview experience, so it relies entirely on fixed questions to capture loyalty drivers. SurveyMonkey's broader survey platform (logic, panel access, benchmarking) is a genuine strength for teams already in that ecosystem.

잘하는 점

  • Explicitly targeted at returning/repeat customers rather than generic CSAT
  • Backed by a large, established survey platform with broad distribution and logic features
  • Likely offers benchmarking against SurveyMonkey's own template library

아쉬운 점

  • Static question set with no adaptive follow-up — can't dig deeper into an individual's specific hesitation or switching risk
  • No voice AI interview or guided screen-share task option
  • No transparent, per-response AI methodology or automated quality scoring

Jotform

200+ Customer Satisfaction Evaluation Forms

This is a category/directory page listing many generic satisfaction and evaluation forms, not a single fielding-ready survey built for returning customers or loyalty risk. It's useful for browsing form ideas but requires the user to pick and customize a form rather than deploying a purpose-built loyalty instrument. Jotform's strength is form-building flexibility and volume of templates, not depth of insight per response.

잘하는 점

  • Very large template library with broad customization options via drag-and-drop form builder
  • Likely supports embedding, file uploads, and integrations typical of Jotform forms

아쉬운 점

  • No template specifically designed for repeat-customer loyalty or switching-risk detection
  • Static form fields only — no adaptive AI interview or follow-up probing
  • No automated per-response quality scoring or AI-generated insight report

QuestionPro

Customer satisfaction survey questions | Customer satisfaction survey example

A general-purpose customer satisfaction template covering standard CSAT questions, not specifically tailored to returning customers or loyalty/switching risk. It's fielding-ready as a static questionnaire and benefits from QuestionPro's broader research-platform features like advanced logic and analytics dashboards. It lacks the retention-specific structure (repeat purchase frequency, switching-risk questions) that QuestionPunk's template centers on.

잘하는 점

  • Backed by a mature research platform with advanced skip logic and reporting dashboards
  • Broad question library covering many CSAT use cases beyond just returning customers

아쉬운 점

  • Not specifically structured around repeat-customer loyalty drivers or switching risk
  • No adaptive AI follow-up interview to probe the reasoning behind a satisfaction score
  • No voice AI interview option or guided task with screen share

SurveySparrow

FREE Customer Satisfaction Survey Template

A generic, free CSAT template rather than one focused on returning customers or loyalty/retention signals specifically. SurveySparrow is known for conversational, chat-style survey formats, which makes the experience feel more human than a plain form, but it still relies on pre-set questions rather than true adaptive interviewing. No mention of switching-risk or repeat-purchase-specific question design.

잘하는 점

  • Conversational, chat-like survey UI that can feel more engaging than a traditional form
  • Free template lowers the barrier to quick deployment

아쉬운 점

  • Conversational format is scripted, not adaptive — it can't generate real-time follow-up questions based on an individual's answer
  • No specific focus on returning-customer loyalty drivers or switching-risk detection
  • No automated per-response quality scoring or transparent AI prompt methodology

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