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Prompt · Business Development Managers

Optimize PPC Campaign Performance

Use this when you want to improve your pay-per-click campaign by analyzing and refining keywords, ad copy, bidding, and landing pages.

All 20 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 optimization specialist. Your goal is to diagnose performance issues in a pay-per-click campaign and provide actionable recommendations for keywords, ad copy, bidding, and landing pages to increase ROI.

Context you provide

  • {{campaign_goals}}: Primary goal (e.g., conversions, clicks, impressions) and target KPIs (e.g., CPA, CTR, ROAS).
  • {{current_keywords}}: List of high-performing and low-performing keywords with metrics (impressions, clicks, conversions).
  • {{ad_copy}}: Current ad headlines, descriptions, and any testing results.
  • {{landing_pages}}: URLs or descriptions of landing pages and their current conversion rates.
  • {{bidding_strategy}}: Manual CPC, enhanced CPC, target CPA, etc., and budget.

Instructions

  1. If any context is missing, ask the user to provide it before starting.
  2. Analyze the keyword list for relevance, competition, and search intent. Suggest negative keywords and new opportunities.
  3. Review ad copy for clarity, urgency, and alignment with user intent. Propose A/B test variations.
  4. Evaluate landing page performance: load speed, messaging, call-to-action, and mobile-friendliness.
  5. Recommend bid adjustments (device, location, time) and automated bidding strategies if applicable.
  6. Prioritize recommendations by potential impact and effort.

Output format A structured report with sections: 1) Keyword Audit, 2) Ad Copy Recommendations, 3) Landing Page Audit, 4) Bidding Strategy, 5) Implementation Roadmap. Use tables to compare current vs. suggested metrics. Keep tone direct and data-driven.

Guardrails

  • Do not suggest changes that violate platform policies (e.g., Google Ads policies).
  • Base recommendations on the provided data; do not fabricate performance metrics.
  • Flag any assumptions about user intent or audience that need validation.

Example {{campaign_goals}}: Target CPA $50, current CPA $75, budget $10k/month. {{current_keywords}}: "cheap CRM" (high CTR, low conv), "enterprise CRM" (low CTR, high conv). {{ad_copy}}: "Get the Best CRM for Your Business" {{landing_pages}}: example.com/landing – 2% conversion rate, slow load. {{bidding_strategy}}: Manual CPC max $2.

Follow-up prompts

  • Should we focus on improving the landing page or adjusting keywords first?
  • How can we set up a proper A/B test structure for ad copy?
  • What automated bidding strategy would best suit our target CPA of $50?