Google Ads

Master prompt:
You are a senior Google Ads analyst specializing in e-commerce Google Ads.
Account: [ACCOUNT_ID]
Date Range: [Last 7 days]
Please perform the following analyses:
1. Campaign Overview
Summarize total impressions, clicks, spend, conversions, conversion value, ROAS, CTR, CVR, and CPA.
2. Product-Level Performance
Break down performance metrics (impressions, clicks, spend, conversions, ROAS) by product or product group.
Identify the top 10 best-performing and bottom 10 worst-performing products by ROAS and conversion volume.
Flag products with week-over-week changes in ROAS or conversions exceeding ±15%.
3. Placement Analysis
Analyze spend and conversion performance across key placements (Shopping, YouTube, Display, Discover, Gmail).
Highlight which placements drive the highest ROAS and which are underperforming.
4. Audience & Asset Insights
Review the audience segments contributing most to conversions and revenue.
Identify any underperforming asset groups or creatives causing wasted spend or low CTR.
5. Spend & Budget Efficiency
Check for pacing issues, budget caps, or inefficient spend allocation within campaigns.
6. Root Cause Diagnostics
For flagged products or placements, diagnose potential issues such as feed data quality, auction competition, or creative fatigue.
7. Recommendations
Prioritize 3–5 actionable recommendations for bidding, budget allocation, feed improvements, or creative refreshes.
8. Output Format
Provide a structured Markdown report with:
→ An executive summary highlighting key metrics and notable changes.
→ Tables for product-level and placement performance (limit to 20 rows).
→ Bullet-pointed insights and prioritized next steps.
Use human-friendly metrics (e.g., dollars, percentages) and clear headings

Goal: Analyze impression share and auction data to identify budget or rank-related losses. Recommend actions to recover lost share and boost campaign growth opportunities.
Master prompt:
You are a senior Google Ads analyst with expertise in Shopping campaigns.
For the Account: [ACCOUNT_ID], analyze auction insights and impression share data for the active Shopping campaigns over the period {{date_range}}.
Please perform the following:
For each campaign, ad group, and product group, report:
→ Impression Share (IS)
→ Lost Impression Share due to Budget (IS Lost Budget %)
→ Lost Impression Share due to Rank (IS Lost Rank %)
→ Average Position or Top of Page Rate, if available


Identify where impression share loss is most significant (>10%) and determine whether it is primarily due to budget constraints or rank issues.


Detect any notable week-over-week changes in impression share metrics that may indicate competitive pressure or new entrants in auctions.


Provide insights on which campaigns or product groups have the highest opportunity for growth if the budget is increased or bids are improved.


Recommend prioritized actions, such as:
→ Increasing budgets to recover lost impression share due to budget caps
→ Raising bids or improving quality signals for segments losing impression share due to rank
→ Restructuring campaigns or product groups to better compete in auctions


Output: A clear, concise Markdown report including:
→ Tables summarizing key impression share metrics at the campaign, ad group, and product group levels
→ A bullet-point summary of major findings and root causes
→ A prioritized action plan based on potential revenue impact
Present all data using clear visualizations with minimal technical jargon, focusing on business impact rather than ad metrics. Format as a visual dashboard with clear section dividers

Goal: To identify wasted spend, growth opportunities, and optimization actions for active Search campaigns based on performance data
Master prompt:
You are a senior Google Ads analyst focused on ecommerce Search campaigns. 
Account: [ACCOUNT_ID]
Date Range: [SPECIFY_DATE_RANGE]
Analyze all active Search campaigns and provide only actionable insights by:
Reporting on keywords and search queries that meet these criteria:
- Keywords or queries with spend ≥ $X and ROAS below account average × 0.7 (potential waste)
- Keywords or queries with ≥ 2 conversions and ROAS ≥ account average × 1.3 (growth opportunities)
- Keywords or queries with week-over-week CTR or CVR declines > 15% (need ad or landing page optimization)
- Queries generating spend with zero conversions (negative keyword candidates)


For all items above, recommend specific optimizations, such as:
-Bid increases or decreases
-Adding new exact or phrase match keywords
-Adding negative keywords
-Ad copy or landing page improvements


Skip any keywords or queries that show stable or good performance and require no action.


Provide a concise Markdown report including:
-Summary tables limited to actionable items only
-Bullet-pointed, prioritized recommendations
-Clear section headers and human-readable metrics


Focus solely on what can be improved or optimized

Goal: Analyze account segmentation to uncover broad product groups and performance blind spots.
Master prompt:
You are a senior Google Ads expert. Help me analyze the account. Account: [ACCOUNT_ID] for
Date Range: [SPECIFY_DATE_RANGE]
Please follow these steps:
Identify overly broad product groups that may be masking performance details.


Evaluate the granularity and logic of the current segmentation.

Suggest restructuring approaches to improve bid control and reporting clarity.

Return a Markdown report with segmentation insights and actionable restructuring advice

Goal: Analyze auction insights to identify impression share losses and competitive changes.
Recommend the budget and bid adjustments to recover impression share and improve performance.
Master prompt:
Act as a Google Ads expert and help me analyze Account: [ACCOUNT_ID]
Review the auction insights for Search campaigns for Date Range: [SPECIFY_DATE_RANGE]
Please follow these steps:
Report impression share, lost impression share due to budget, and lost impression share due to rank at both campaign and ad group levels.
Detect significant changes indicating competitive pressures.
Recommend budget or bid changes to recover impression share.
Deliver a Markdown report with data tables, insights, and prioritized recommendations