business•Saves 4-8 hours

AI Pricing Strategy Workflow

Pricing is the most powerful lever for revenue growth, yet most companies set prices based on gut feel. This workflow helps you analyze your market, model different pricing strategies, and design experiments to optimize revenue.

Best AI Models for This Workflow

Perplexity

ChatGPT

Claude

Workflow Steps

Competitive Pricing Analysis

Map the competitive landscape to understand pricing norms and positioning opportunities.

Analyze pricing in my market. My product: [describe]. Competitors: [list with known prices if available]. Research: pricing models used (per seat, usage-based, flat rate), price ranges by tier, included features at each tier, and free tier/trial strategies. Identify where the market is underserved (price gaps) and overserved.

Best with Perplexity

Why Perplexity: Perplexity researches current competitor pricing from live websites with source verification.

Model Pricing Scenarios

Build financial models for different pricing strategies and forecast revenue impact.

Model 3 pricing scenarios for my product. Current: [pricing], Customers: [N], ARPU: [$X]. Scenarios: 1) Raise prices 20%, 2) Add premium tier, 3) Switch to usage-based. For each: forecast revenue impact assuming [churn assumptions], calculate break-even customer count, identify risks, and estimate time to reach current revenue if customers churn.

Best with ChatGPT

Why ChatGPT: ChatGPT builds detailed financial models and handles the math for pricing scenarios.

Design Pricing Page & Tiers

Structure your pricing tiers, feature gates, and presentation for maximum conversion.

Design a pricing page strategy. Product: [describe], Target customers: [segments]. Create: 3-4 tier names and prices, feature allocation per tier (what gates what), a recommended "most popular" tier with anchoring, annual vs monthly discount strategy, and enterprise/custom tier positioning. Apply pricing psychology (anchoring, decoy effect).

Best with Claude

Why Claude: Claude applies pricing psychology principles while keeping the strategy honest and sustainable.

Plan A/B Tests

Design experiments to validate pricing changes before full rollout.

Design A/B tests for our pricing changes. Proposed change: [describe]. Current conversion rate: [X%], Current ARPU: [$Y]. Plan: what to test (price points, tier names, feature allocation), traffic split and sample size needed for statistical significance, primary and secondary metrics, test duration, and guardrail metrics that trigger an automatic stop.

Best with DeepSeek

Why DeepSeek: DeepSeek applies rigorous statistical reasoning to experiment design and sample size calculations.

Run This Workflow with Council

Query multiple AI models at once to compare results at each step. See which AI handles each part of the workflow best.

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