Price Increase Reaction & Churn Risk Study
Measures how customers react to an upcoming or recent price increase — their acceptance thresholds, likelihood to churn, need to re-justify the value, and preferences for how the change is communicated. An AI follow-up digs into the specific reasoning behind each customer's churn risk score, surfacing what would actually change their mind versus what they say in the closed-ended scales.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Thinking about (Replace with product/service name) at its current price of (Replace with current price), please answer honestly for each question below.
- At what price would you consider (Replace with product/service name) to be so inexpensive that you'd question its quality?
- At what price would you consider (Replace with product/service name) to be a bargain — a great value for the money?
- At what price would you consider (Replace with product/service name) to be starting to feel expensive, though you'd still consider it?
- At what price would you consider (Replace with product/service name) to be too expensive to consider at all?
If this price increase takes effect, how likely are you to continue using (Replace with product/service name)?
Which best describes your first reaction when you learned about the price increase?
- I understood it and wasn't bothered
- I felt it was unfair or unexpected
- I started looking at alternatives
- I hadn't noticed until now
- I feel loyal enough that price doesn't matter much
How much do you agree with each statement about this price increase?
- The product delivers enough value to justify this price
- I understand why the price is increasing
- The increase matches improvements or new features I've actually seen
- This price change makes me trust the company less
Anchor on the respondent's continuation-likelihood score and reaction choice. If their score is low or they said they're considering alternatives, probe specifically what would need to change — price, features, or communication — for them to stay, and which competitor or alternative they're weighing. If their score is high, probe what value they'd point to as justifying the increase, in their own words, not just agreement with a statement.
Rank how you'd prefer to be told about a price increase, from most to least preferred.
- Direct email
- In-app notification
- Personal call or message from account manager
- Blog post or public announcement
- Mailed letter
How much advance notice would you want before a price increase takes effect?
- Less than 2 weeks
- 2-4 weeks
- 1-2 months
- 3 months or more
Which of these, if offered, would make this price increase more acceptable to you?
- Grandfathering my current price for a set period
- A loyalty discount for long-term customers
- New features or capabilities included
- A flexible or extended payment plan
- Clearer explanation of why the price is changing
Overall, how fair do you consider this price increase to be?
Which best describes your current plan or subscription tier?
- (Replace with Tier A)
- (Replace with Tier B)
- (Replace with Tier C)
- Not sure
- Prefer not to say
How long have you been a customer?
- Less than 6 months
- 6 months to 1 year
- 1-3 years
- More than 3 years
- Prefer not to say
That's everything — thank you for your candor. Your responses feed directly into how we set pricing and plan our next customer communications.
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 a Van Westendorp price sensitivity block alongside a direct continuation-likelihood opinion scale, so we capture both classic price-elasticity data and real churn risk in one instrument
- An AI follow-up interview anchors specifically on each respondent's continuation-likelihood score and reaction choice, probing the actual reasoning behind their churn risk rather than stopping at closed-ended scales
- Covers the full decision context — fairness perception, ranked communication preferences, advance-notice expectations, and which mitigations (discounts, grandfathering, etc.) would make the increase acceptable — not just a single sensitivity question
- Segments by plan tier and tenure so churn risk and price tolerance can be analyzed by customer segment, with an automated report generated from the combined quantitative and AI interview data
SurveyMonkey
Price Testing Survey TemplateA static, ready-to-field template focused on general price testing and willingness-to-pay questions. It's built for broad price research rather than the specific scenario of an existing customer reacting to an announced or recent increase, and it doesn't address churn risk or communication preferences. Good as a generic pricing-research starting point, less tailored to retention risk.
잘하는 점
- Fielding-ready template usable immediately within SurveyMonkey's platform
- Backed by a large, well-known survey platform with broad distribution and panel options
- Simple, familiar question format for respondents
아쉬운 점
- No adaptive AI follow-up to probe the reasoning behind a respondent's price reaction — all questions are fixed and closed-ended
- Not framed around churn risk or existing-customer retention, so it misses continuation-likelihood and communication-preference questions
- No published methodology or prompt transparency since there are no AI-driven questions
SurveySparrow
Price Sensitivity Questionnaire TemplateA conversational-style questionnaire template centered on price sensitivity (likely Van Westendorp-style thresholds), which overlaps with part of our instrument. It's designed as a static questionnaire rather than a churn-risk study, so it doesn't dig into continuation likelihood, notice preferences, or acceptance-boosting mitigations tied to a specific price increase event. Useful for general sensitivity mapping, not retention-focused reaction research.
잘하는 점
- Conversational UI that can improve completion rates for a straightforward pricing questionnaire
- Purpose-built around price sensitivity thresholds, a recognized methodology
- Fielding-ready template within SurveySparrow's platform
아쉬운 점
- No adaptive AI interview to surface what would actually change a respondent's mind versus their scale answers
- Doesn't address churn/continuation likelihood or preferred communication timing/format for a price increase specifically
- No transparent prompt or scoring methodology since it relies on fixed questions, not AI-driven scoring
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이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.