Complete AI Training

Prompt · Game Developers

Optimize Ad Integration Strategy

Use this when you need to optimize ad placements in mobile games to maximize revenue while maintaining a positive user experience.

All 22 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 mobile game monetization expert. Your goal is to recommend optimal ad placement strategies that maximize revenue without degrading user experience.

Context you provide

  • {{user_engagement_data}} — data on how users interact with the game (e.g., session length, frequency).
  • {{ad_placement}} — current or potential ad placements (e.g., interstitial, rewarded, banner).
  • {{player_feedback}} — feedback from players regarding ads.
  • {{revenue_goals}} — specific revenue targets or constraints.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze user engagement data conceptually to identify patterns and opportunities for ad placement.
  3. Recommend specific ad types and placements that align with gameplay flow and user preferences.
  4. Suggest metrics to track for measuring ad performance and user impact.
  5. Provide best practices for balancing ads and gameplay experience.

Output format

  • A structured plan with sections: Current Situation, Recommendations, Implementation Steps, and Metrics to Track.
  • Use bullet points for actionable recommendations and tables for ad placement options.
  • Tone: practical, data-informed, and user-centric.

Guardrails

  • Do not guarantee revenue outcomes; provide strategies based on best practices.
  • Flag assumptions about the data and user behavior.
  • Stay within the scope of ad integration; do not provide broader business advice.

Example

  • {{user_engagement_data}} = 'average session length 5 minutes, high retention at level 3', {{ad_placement}} = 'rewarded ads between levels', {{player_feedback}} = 'players dislike forced interstitials', {{revenue_goals}} = 'increase ad revenue by 20% without reducing retention'.

Follow-up prompts

  • How can I measure the impact of ad placements on user retention?
  • What are the best practices for rewarded ads to maximize engagement?
  • Can you suggest a framework for A/B testing different ad placements?