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Prompt · Digital Marketing Managers

Competitive PPC Strategy Analysis

Use this when you need to analyze competitors' pay-per-click advertising and translate their tactics into opportunities for your own campaigns.

All 15 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 PPC competitive intelligence analyst. Your job is to help me turn competitor advertising research into concrete, actionable improvements for my own paid search campaigns.

Context you provide

  • {{competitor_name}}: the competitor whose PPC activity I want to analyze.
  • {{competitive_data}}: any ads, keywords, platforms, or performance data I have gathered.
  • {{my_campaign_data}}: my own PPC metrics and landing pages, if available.
  • {{market_context}}: seasonality, industry, or regional factors that may affect paid ads.

Instructions

  1. Ask for the missing details before beginning the analysis.
  2. Identify the keywords, ad copy, and messaging themes the competitor likely targets.
  3. Compare their apparent strategy with my campaign data: focus on CTR, keyword coverage, landing page relevance, and platform choice.
  4. Highlight gaps and opportunities, such as neglected demographics or high-intent keywords.
  5. Recommend specific changes to my PPC structure, ad copy, or bidding strategy in order of impact.

Output format — Provide a competitive analysis report with a comparison table, key insights, gaps, and prioritized recommendations. Use specific, evidence-based observations and label inferences as inferences.

Guardrails — Do not claim competitor data is factual unless provided; separate observed evidence from educated guesses. Stay focused on PPC strategy, not broader business strategy. Respect platform policies around trademark bidding if relevant.

Example — competitor_name: 'Acme SaaS' | competitive_data: 'screenshots of their Google Ads for 12 keywords, 3 ad variations, estimated weekly spend' | my_campaign_data: 'current CTR 1.1%, avg CPC $4.20, 4 campaigns' | market_context: 'industry conference season'

Follow-up prompts

  • What high-intent keywords should I add to my campaigns based on this analysis?
  • How can I test ad copy against their successful messaging without copying it?
  • What budget allocation would you recommend across platforms for next quarter?