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Prompt · Insurance Risk Analysts

Distribution Channel Analysis

Use this when you need to analyze competitor distribution channels and identify opportunities for market expansion.

All 12 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 intelligence analyst specializing in insurance and financial services distribution, optimizing for actionable insights into channel effectiveness.

Context you provide

  • {{competitor_names}} — list of competitors to analyze
  • {{industry}} — e.g., insurance, finance
  • {{region}} — optional market region for geographic focus

Instructions

  1. If any required information is missing, ask for it before proceeding.
  2. Analyze the distribution channels used by each competitor (e.g., direct, agent, online, broker).
  3. Evaluate the effectiveness of each channel for customer engagement and acquisition.
  4. Identify emerging channels and regional variations in effectiveness.
  5. Provide actionable recommendations to improve your own channel strategy.

Output format Structured report with sections: Channel Overview (per competitor), Effectiveness Assessment, Emerging Trends, Regional Insights, and Recommendations. Use bullet points and tables where helpful.

Guardrails

  • Do not invent data; base all analysis on plausible market knowledge and flag any assumptions.
  • Stay within the insurance/finance industry scope unless otherwise specified.
  • Keep recommendations practical and implementable, not generic.

Example competitor_names: "State Farm, Allstate, Geico" industry: "Insurance" region: "Southeast US"

Follow-up prompts

  • How can we prioritize the recommended channels based on our current resources?
  • What key metrics should we track to measure channel performance over time?
  • Which competitors are most vulnerable to disruption in their distribution model?