跳到正文
cccskills
免费在 GitHub 公开

"algo-price-van-westendorp"

"Conduct Van Westendorp Price Sensitivity Meter analysis to identify acceptable price ranges. Use this skill when the user needs to determine price boundaries for a new product, find the optimal and indifference price points, or survey-based pricing research — even if they say 'what should we charge', 'price sensitivity survey', or 'acceptable price range'.".

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(4)

  • SKILL.md4.3 KB
  • examples/sample_scenario.md6.2 KB
  • references/nms-extension.md6.7 KB
  • references/survey-design.md11.0 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Van Westendorp Price Sensitivity Meter

Overview

Van Westendorp PSM uses four price perception questions to identify an acceptable price range through intersection analysis. Produces: Point of Marginal Cheapness (PMC), Point of Marginal Expensiveness (PME), Indifference Price Point (IPP), and Optimal Price Point (OPP). Requires survey data from 100+ respondents.

When to Use

Trigger conditions:

  • Setting initial price for a new product or service
  • Identifying the acceptable price range from consumer perception
  • Quick pricing research without complex experimental design

When NOT to use:

  • When you need to measure attribute trade-offs (use conjoint analysis)
  • When you need demand curve estimation (use price elasticity)

Algorithm

IRON LAW: Van Westendorp Identifies an ACCEPTABLE Range, Not Optimal Price
It doesn't account for competition, costs, or willingness to pay at
scale. It tells you WHERE prices are perceived as reasonable, not
what maximizes revenue. Use as input to pricing strategy, not as the
final answer.

Phase 1: Input Validation

Survey 100+ target customers with four questions at various price points:

  1. Too cheap (quality suspect)? 2. A bargain (great deal)? 3. Getting expensive (but would consider)? 4. Too expensive (would not buy)? Gate: 100+ responses, all four curves plottable.

Phase 2: Core Algorithm

  1. For each price point, compute cumulative percentages for each question
  2. Plot four curves: "too cheap" (descending), "cheap/bargain" (descending), "expensive" (ascending), "too expensive" (ascending)
  3. Find intersections:
    • OPP = intersection of "too cheap" and "too expensive" (optimal price point)
    • IPP = intersection of "cheap" and "expensive" (indifference price point)
    • PMC = intersection of "too cheap" and "expensive" (marginal cheapness)
    • PME = intersection of "cheap" and "too expensive" (marginal expensiveness)
  4. Acceptable range = [PMC, PME]

Phase 3: Verification

Check: PMC < OPP < IPP < PME (expected ordering). All intersections exist within surveyed range. Gate: Four-point ordering is logical, range is commercially viable.

Phase 4: Output

Return price points and acceptable range.

Output Format

{
  "price_points": {"opp": 299, "ipp": 349, "pmc": 199, "pme": 449},
  "acceptable_range": {"min": 199, "max": 449},
  "metadata": {"respondents": 250, "currency": "TWD", "product": "..."}
}

Examples

Sample I/O

Input: 200 survey responses for a SaaS product, price range tested: $5-$50/month Expected: PMC=$12, OPP=$18, IPP=$22, PME=$35. Acceptable range: $12-$35.

Edge Cases

InputExpectedWhy
Curves don't intersectExtend surveyed rangePrice points tested were too narrow
IPP < OPPUnusual but possibleCheck data quality, may indicate confused respondents
Very wide rangeLow price sensitivityProduct category has high tolerance

Gotchas

  • Hypothetical bias: People say they'd pay more than they actually would. Van Westendorp systematically overestimates willingness to pay.
  • No competitive context: Respondents answer in isolation. Real purchase decisions consider alternatives. Supplement with competitive analysis.
  • Sample representativeness: Results are only valid for the surveyed population. B2B vs B2C, early adopters vs mainstream — all give different ranges.
  • Newton-Miller-Smith extension: Add purchase intent questions at OPP and IPP for more actionable revenue estimates. Standard Van Westendorp alone lacks this.
  • Product must be understood: Respondents need to understand what they're pricing. For novel products, include a clear concept description.

References

  • For Newton-Miller-Smith purchase intent extension, see references/nms-extension.md
  • For survey design best practices, see references/survey-design.md

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

"Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Optimize advertising budget allocation across campaigns using marginal returns analysis. Use this skill when the user needs to distribute budget across multiple campaigns, optimize spend pacing, or maximize overall ROAS under budget constraints — even if they say 'how to split my ad budget', 'campaign budget optimization', or 'diminishing returns on ad spend'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Build CTR prediction models for estimating ad click-through rates from features. Use this skill when the user needs to predict click probability, build an ad ranking model, or evaluate ad creative performance — even if they say 'predict click rate', 'ad relevance scoring', or 'which ad will get more clicks'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement Generalized Second Price auction for ad slot allocation and pricing. Use this skill when the user needs to understand search ad auctions, compute ad positions and costs-per-click, or analyze bidding dynamics — even if they say 'how does Google Ads auction work', 'ad rank calculation', or 'second price auction for ads'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Implement VCG mechanism for incentive-compatible ad slot allocation with truthful bidding. Use this skill when the user needs to design a truthful auction mechanism, compute externality-based payments, or understand why platforms may prefer GSP over VCG — even if they say 'truthful auction design', 'VCG payments', or 'incentive-compatible mechanism'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

"Explain blockchain fundamentals including distributed ledger architecture, consensus mechanisms, and block structure. Use this skill when the user needs to understand blockchain concepts, evaluate whether blockchain fits a use case, or design a blockchain-based solution — even if they say 'how does blockchain work', 'do I need blockchain', or 'distributed ledger'.".

中文简介正在准备中。当前显示原文说明。

charlieviettq/awesome-agent-skill262026年7月20日 更新

查看 charlieviettq 的全部技能

报告此技能的问题