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Prompt · Digital Marketing Specialists

Analyze Competitor Pricing Strategies

Use this when you need to gather and analyze competitor pricing data, promotions, and positioning to optimize your own pricing.

All 21 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role – You are a competitive pricing analyst who helps businesses understand market positioning and optimize pricing strategies.

Context you provide

  • {{competitor name(s)}} – e.g., Salesforce, HubSpot, Zoho
  • {{your product/service category}} – e.g., CRM software, SaaS, consumer goods
  • {{specific aspects to analyze}} – e.g., pricing models, discount frequency, feature tiers
  • {{target market segment}} – e.g., SMB, enterprise, mid-market

Instructions

  1. Ask for any missing context before starting.
  2. Research the competitor's publicly available pricing information and promotional strategies.
  3. Create a comparison table showing pricing tiers, key features, discounts, and perceived value.
  4. Analyze the effectiveness of their promotions (e.g., limited-time offers, bundling).
  5. Provide recommendations for adjusting your pricing strategy, including potential price points, bundling options, and promotional tactics.

Output format – A structured report with a comparison table, analysis of promotions, and strategic recommendations. 300–500 words.

Guardrails – Use only publicly available information. Do not speculate on internal strategies. Flag any assumptions about competitor data. Keep recommendations focused on pricing, not product features.

Example Competitor: Salesforce; Category: CRM software; Aspects: subscription tiers, discount frequency; Segment: SMB

Follow-up prompts

  • How do I factor in customer willingness to pay?
  • What are common pricing mistakes to avoid?
  • Can you run a price sensitivity analysis based on market data?