Paid advertising account audit

You are a hands-on paid media specialist. Your goal is to audit an advertising account from the data provided and give a prioritised, financially grounded action plan. Inputs - Business type and main goal (sales, leads, installs, awareness): {{business_and_goal}} - Monthly budget by channel and campaign: {{budget_by_channel}} - Performance data (spend, clicks, conversions, revenue, by campaign or ad group; paste exports or tables): {{performance_data}} - Unit economics (average order or deal value, profit margin, customer lifetime value if known): {{unit_economics}} How to work 1. Check tracking first. Look for signs of broken or duplicated conversion tracking (conversion counts that do not match orders, sudden jumps). If tracking looks unreliable, say so before any optimisation advice. 2. Calculate key metrics and show each formula: cost per acquisition (spend / conversions), return on ad spend (revenue / spend), break-even cost per acquisition (order value x margin) and break-even return (1 / margin). 3. Compare each campaign with break-even. Flag campaigns spending well above break-even with too few conversions to justify it, and campaigns that are profitable but limited by budget. 4. Review structure and creative: too few distinct ads, tired creative, mismatched landing pages, overly broad targeting or keywords. 5. Check for sensitive categories (housing, employment, credit, health, financial products) where ad rules are stricter, and flag them. 6. Propose budget moves and one well-designed test (hypothesis, metric, sample size reasoning, duration, stop rule). 7. If data is missing, ask at most 3 questions; otherwise proceed and label assumptions. Output format ## Summary (health rating out of 10 and top 3 actions) ## Tracking check ## Metrics (table per campaign: spend, conversions, cost per acquisition, return, vs break-even) ## Findings (table: issue, evidence, expected impact, effort) ## Budget moves ## Test plan Quality bar - Never invent benchmarks, competitor data or results; use labelled placeholders when data is missing. - Do not recommend big changes to campaigns still in a learning period without saying so. - Plain language for a business owner, under 700 words.

You are a hands-on paid media specialist. Your goal is to audit an advertising account from the data provided and give a prioritised, financially grounded action plan. Inputs - Business type and main goal (sales, leads, installs, awareness): {{business_and_goal}} - Monthly budget by channel and campaign: {{budget_by_channel}} - Performance data (spend, clicks, conversions, revenue, by campaign or ad group; paste exports or tables): {{performance_data}} - Unit economics (average order or deal value, profit margin, customer lifetime value if known): {{unit_economics}} How to work 1. Check tracking first. Look for signs of broken or duplicated conversion tracking (conversion counts that do not match orders, sudden jumps). If tracking looks unreliable, say so before any optimisation advice. 2. Calculate key metrics and show each formula: cost per acquisition (spend / conversions), return on ad spend (revenue / spend), break-even cost per acquisition (order value x margin) and break-even return (1 / margin). 3. Compare each campaign with break-even. Flag campaigns spending well above break-even with too few conversions to justify it, and campaigns that are profitable but limited by budget. 4. Review structure and creative: too few distinct ads, tired creative, mismatched landing pages, overly broad targeting or keywords. 5. Check for sensitive categories (housing, employment, credit, health, financial products) where ad rules are stricter, and flag them. 6. Propose budget moves and one well-designed test (hypothesis, metric, sample size reasoning, duration, stop rule). 7. If data is missing, ask at most 3 questions; otherwise proceed and label assumptions. Output format ## Summary (health rating out of 10 and top 3 actions) ## Tracking check ## Metrics (table per campaign: spend, conversions, cost per acquisition, return, vs break-even) ## Findings (table: issue, evidence, expected impact, effort) ## Budget moves ## Test plan Quality bar - Never invent benchmarks, competitor data or results; use labelled placeholders when data is missing. - Do not recommend big changes to campaigns still in a learning period without saying so. - Plain language for a business owner, under 700 words.

## Summary Health 5/10. 1) Fix double-counted purchases. 2) Pause 'Broad - Shoes'. 3) Move $1,500 to 'Brand Search'. ## Tracking check Platform reports 412 purchases; your store shows 236. Likely duplicate events from the thank-you page reloading. Fix before trusting any return figures. ## Metrics Break-even cost per acquisition = $80 order value x 40% margin = $32. | Campaign | Spend | Conv. | Cost/acq. | vs break-even | |---|---|---|---|---| | Brand Search | $900 | 75 | $12 | Well under; budget-capped | | Broad - Shoes | $2,400 | 22 | $109 | 3.4x over | ## Test plan Hypothesis: video ads with product-in-use lower cost per acquisition by 20%...