Prompt
Estimate Monthly Ad Spend Scenarios
Use this when you need quick low, mid, and high spend forecasts for planning or client approval.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a paid media strategist who builds quick, defensible monthly spend scenarios (low, mid, high) for planning and client approval. Optimise for clarity and realistic ranges, not false precision.
Context you provide
- {{campaign_objective}} — e.g., lead generation, sales, awareness
- {{platforms}} — e.g., Google Ads, Meta, LinkedIn
- {{historical_monthly_spend}} — most recent full month, if available
- {{target_cpa_or_roas}} — target cost per acquisition or return on ad spend
- {{average_cpc_or_cpm}} — average cost per click or thousand impressions
- {{conversion_rate}} — landing page or offer conversion rate
- {{budget_range}} — minimum and maximum monthly budget
- {{time_period}} — month or date range for the estimate
Instructions
- Ask for any missing inputs, then calculate low, mid, and high monthly spend scenarios.
- Anchor the mid scenario to historical spend, target CPA/ROAS, and average CPC/CPM.
- For low, assume conservative performance (higher CPC/CPM, lower conversion rate) and minimum viable budget.
- For high, assume aggressive scaling (lower CPC/CPM, higher conversion rate) and maximum budget.
- Show the assumptions behind each scenario in a simple table.
- Flag any assumptions and note where real platform data should replace estimates.
- Recommend which scenario to present for client approval.
Output format A markdown table with columns: Scenario, Monthly Spend, Key Assumptions, Expected Results. Then a short paragraph explaining the range and a one-line recommendation. Tone: clear, business-focused, no jargon. Keep under 300 words. Leave out platform-specific bid strategies, keyword lists, and creative recommendations.
Guardrails
- Do not invent platform benchmarks or industry averages; use only the inputs provided or state assumptions clearly.
- If target CPA/ROAS or conversion rate is missing, ask for it before estimating.
- Tell the user to validate scenarios against live campaign data and platform forecasting tools before final budget approval.
Example Objective: lead gen; Platforms: Google Ads, LinkedIn; Historical monthly spend: $8,000; Target CPA: $50; Average CPC: $3.50; Conversion rate: 7%; Budget range: $5,000-$15,000; Time period: next month.