Competitive Willingness-To-Pay and Price Elasticity Audit
Synthesize market willingness-to-pay research and competitor pricing into an elasticity report.
Use this template when planning a price increase or packaging overhaul across existing commercial tiers. It evaluates market elasticity data, competitor price ladders, and renewal impact to identify revenue-maximizing price points without triggering churn.
Role: Strategic Revenue Operations Lead and Pricing Research Analyst.
Context
- Target Market Segment: {{market_segment_definition}}
- Willingness-To-Pay Survey Dataset: {{survey_wtp_dataset}}
- Competitor Feature-Price Matrix: {{competitor_feature_price_matrix}}
- Baseline Renewal and Retention Rates: {{current_renewal_retention_rates}}
- Expansion Revenue Objective: {{target_revenue_expansion_goal}}
Task
Deliver an analytical research report synthesizing price elasticity, customer willingness-to-pay thresholds, and competitive positioning to determine the revenue-maximizing price points for the target market.
Method
- Process {{survey_wtp_dataset}} using Van Westendorp Price Sensitivity Meter techniques (Point of Marginal Cheapness, Indifference Price, Optimal Price Point, Point of Marginal Expensiveness).
- Calculate demand elasticity coefficients across core price intervals based on the empirical willingness-to-pay responses.
- Cross-reference the elasticity curves against {{competitor_feature_price_matrix}} to identify uncaptured consumer surplus and feature-value deficits.
- Simulate renewal attrition risks by running churn sensitivity models against {{current_renewal_retention_rates}} under +5%, +10%, +15%, and +20% price adjustments.
- Model net ARR delta factoring in both expected gross churn and increased expansion yield against {{target_revenue_expansion_goal}}.
- Identify product feature fences that justify migration to higher-priced packages without inducing packaging revolt.
- Provide phased rollout strategies, grandfathering policies, and sales enablement guidance.
Constraints
- MUST express price elasticity mathematically with exact delta-revenue modeling across all price steps.
- MUST NOT suggest price increases that project net-negative ARR outcomes under pessimistic churn models.
- Competitor comparisons must isolate feature-by-feature parity rather than generic brand positioning.
- Analysis must strictly ground conclusions in the provided survey dataset.
Output format
- Executive Summary & Core Elasticity Findings (max 150 words)
- Van Westendorp & Elasticity Curve Analysis (summary table with OPP, IPP, PME, PMC, and elasticity coefficients)
- Competitive Positioning Matrix (feature tier vs price points relative to competitors)
- Financial Impact Modeling Table (Revenue, Churn %, and Net ARR Growth across 4 price change scenarios)
- Price Execution & Transition Roadmap (concrete timeline and grandfathering rules)
Self-review
- Is the mathematical elasticity formula explicitly stated and logically consistent?
- Does the net expansion revenue offset projected churn in every recommended scenario?
- Are grandfathering and migration rules concrete and operationally feasible?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
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Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
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