Claude.ai & MCP supported — another step towards a more powerful AdzviserRead Me
Facebook Ads logo

Facebook Ads Prompt Library

Ready-to-use AI prompts to analyze your Facebook Ads campaigns, optimize ROAS, and generate actionable reports. Customize with your account name and date range, then paste into ChatGPT, Claude, or Gemini.

23
Ready-to-use prompts
4
Categories
Customizations
Customize:
Reporting

Weekly Campaign Performance Summary

Get a concise weekly overview of your campaign KPIs with trend indicators.

Pull the campaign performance data from my Facebook Ads account for the last 30 days. Show a summary table with columns: Campaign Name, Objective, Impressions, Reach, Clicks, CTR, CPC, Amount Spent, Conversions, Cost per Result, and ROAS. Sort by Amount Spent descending. Add a row at the bottom for totals. Highlight any campaigns where CTR dropped more than 20% compared to the previous period.
Reporting

Monthly Executive Report

Generate a boardroom-ready report with key metrics, trends, and recommendations.

Generate a monthly executive report for my Facebook Ads account covering the last 30 days. Include: 1) Total spend, purchases, revenue, and ROAS with month-over-month change percentages. 2) Top 5 campaigns by purchase volume. 3) Top 5 campaigns by ROAS. 4) Bottom 3 underperforming campaigns with reasons. 5) A brief paragraph summarizing overall performance and 3 actionable recommendations for next month.
Reporting

Ad Set Performance Breakdown

Drill into ad set-level data to identify top and bottom performers.

From my Facebook Ads account for the last 30 days, show me a detailed ad set performance breakdown. Include: Campaign Name, Ad Set Name, Audience, Impressions, Reach, Frequency, Clicks, CTR, CPC, Conversions, Cost per Conversion, and ROAS. Flag any ad sets with a Frequency above 4 or a Cost per Conversion more than 50% above the account average. Group results by campaign.
Reporting

Placement Performance Comparison

Compare how your ads perform across Facebook, Instagram, Audience Network, and Messenger.

Analyze placement-level performance for my Facebook Ads account during the last 30 days. Break down by placement (Facebook Feed, Instagram Feed, Instagram Stories, Reels, Audience Network, Messenger, etc.) and show: Impressions, Reach, Clicks, CTR, CPC, Conversions, Cost per Conversion, and ROAS. Which placement has the highest ROAS? Which placement has the most wasted spend?
Reporting

Age & Gender Demographics Report

Discover which demographics drive the best results.

For my Facebook Ads account during the last 30 days, break down performance by age group and gender. Show a table with: Age Range, Gender, Impressions, Clicks, CTR, Conversions, Cost per Conversion, and ROAS. Identify the best-performing demographic segment and the worst. Suggest targeting adjustments based on the data.
Reporting

Creative Performance Report

Compare ad creatives to find your best-performing visuals and copy.

Pull ad-level performance data from my Facebook Ads account for the last 30 days. For each ad, show: Ad Name, Creative Type (image/video/carousel), Headline, Impressions, CTR, CPC, ThruPlays (if video), Conversions, and ROAS. Rank ads by ROAS and identify which creative formats and messaging themes perform best. Recommend which ads to scale and which to pause.
Optimization

Budget Allocation Optimizer

Find the ideal budget distribution across campaigns based on ROAS.

Analyze the budget allocation for my Facebook Ads account during the last 30 days. For each campaign, show: Daily Budget, Actual Spend, Conversions, ROAS, and Budget Utilization %. Identify campaigns that are underspending with high ROAS (should get more budget) and campaigns that are overspending with low ROAS (should be reduced). Recommend a new budget distribution that maximizes overall ROAS while keeping total budget the same.
Optimization

Audience Overlap & Consolidation

Identify overlapping audiences that may be competing against each other.

Review all active ad sets in my Facebook Ads account during the last 30 days. List each ad set with its audience targeting details, reach, frequency, and CPM. Identify ad sets that likely target overlapping audiences (similar interests, lookalikes from the same seed, or broad targeting in the same region). Recommend which ad sets to consolidate to reduce auction overlap and lower CPMs.
Optimization

Frequency Cap Analysis

Find the optimal ad frequency before performance declines.

Analyze frequency vs. performance for my Facebook Ads account during the last 30 days. For each ad set, show: Average Frequency, CTR, CPC, Conversion Rate, and Cost per Conversion. Identify the frequency threshold where CTR starts declining and CPC starts increasing. Recommend frequency caps or audience refreshes for ad sets where frequency is too high.
Optimization

Lookalike Audience Performance

Evaluate which lookalike audiences deliver the best ROI.

From my Facebook Ads account for the last 30 days, compare the performance of ad sets using lookalike audiences. Show: Lookalike Source, Percentage Range (1%, 1-3%, 3-5%, etc.), Impressions, Clicks, CTR, Conversions, CPA, and ROAS. Which lookalike percentage delivers the best balance of volume and efficiency? Recommend whether to expand or narrow lookalike targeting.
Optimization

Ad Scheduling Optimization

Find the best hours and days to run your ads.

Analyze hourly and day-of-week performance for my Facebook Ads account during the last 30 days. Break down by hour (0-23) and day of week: Impressions, Clicks, CTR, Conversions, CPA, and ROAS. Create a heatmap-style ranking of the best and worst time slots. Recommend an ad schedule that focuses budget on top-performing hours and reduces spend during low-performing periods.
Optimization

Landing Page & Destination Analysis

Evaluate which destination URLs convert best.

From my Facebook Ads account for the last 30 days, break down performance by destination URL or landing page. Show: URL, Clicks, Landing Page Views, Landing Page View Rate, Conversions, Conversion Rate, and ROAS. Identify URLs with a high drop-off between clicks and landing page views (possible load speed issues). Recommend which landing pages to optimize or replace.
Analysis

Week-over-Week Trend Detection

Spot performance shifts and anomalies week over week.

Compare this week vs last week performance for my Facebook Ads account during the last 30 days. Show week-over-week changes for: Impressions, Reach, Clicks, CTR, CPC, Conversions, CPA, Spend, and ROAS. Flag any metric that changed by more than 15% with a ⚠️ emoji. For each flagged metric, provide a possible explanation and suggested action.
Analysis

Funnel Stage Analysis

Analyze performance across awareness, consideration, and conversion campaigns.

Analyze campaigns in my Facebook Ads account during the last 30 days grouped by objective/funnel stage (Awareness, Traffic, Engagement, Leads, Conversions/Sales). For each stage, show: Number of Campaigns, Total Spend, Key Results, Cost per Result, and percentage of total budget. Is the funnel balanced? Are you overspending on top-of-funnel without enough conversion budget? Recommend budget reallocation across funnel stages.
Analysis

Attribution Window Comparison

Compare results across different attribution windows.

For my Facebook Ads account during the last 30 days, compare conversion counts and ROAS across different attribution windows (1-day click, 7-day click, 1-day view, 7-day click + 1-day view). Show the data for the top 10 campaigns by spend. How much do results change between attribution windows? Identify campaigns that rely heavily on view-through conversions vs. click-through conversions.
Analysis

Video Creative Analysis

Deep-dive into video ad engagement and retention metrics.

Analyze video ad performance for my Facebook Ads account during the last 30 days. For each video ad, show: Video Name, ThruPlays, Video Plays, Average Watch Time, Video Watches at 25%, 50%, 75%, and 100%, CTR, and Cost per ThruPlay. Identify which videos have the best retention (highest % watching to 75%+) and which lose viewers early. Recommend video length and style improvements based on the data.
Analysis

iOS 14+ Impact Assessment

Evaluate the impact of iOS privacy changes on your tracking and optimization.

Analyze the data from my Facebook Ads account for the last 30 days to assess potential tracking gaps from iOS privacy changes. Compare: Reported conversions vs estimated conversions, breakdown availability across campaigns, and percentage of spend going to campaigns with limited data. Identify campaigns where reported ROAS may be understated. Recommend strategies to improve measurement accuracy (Conversions API, broad targeting, etc.).
Audit

Account Health Check

Run a comprehensive health check on your Facebook Ads account.

Perform a comprehensive account health check for my Facebook Ads account using data from the last 30 days. Evaluate: 1) Account structure (number of campaigns, ad sets per campaign, ads per ad set). 2) Budget utilization across campaigns. 3) Overall CTR, CPA, and ROAS benchmarks. 4) Percentage of spend going to converting vs non-converting ad sets. 5) Ad sets with fewer than 2 active ads. 6) Campaigns stuck in learning phase. Give an overall health score from 1-10 and list the top 5 issues to fix.
Audit

Wasted Spend Audit

Find exactly where your ad budget is being wasted.

Audit wasted spend in my Facebook Ads account for the last 30 days. Identify: 1) Ad sets with 100+ clicks and zero conversions (show total cost wasted). 2) Ad sets with CPA more than 2x the account average. 3) Campaigns with frequency above 5 (audience fatigue). 4) Ad sets targeting audiences smaller than 10,000. Calculate the total wasted spend and what ROAS could look like if this waste were eliminated.
Audit

Pixel & Event Tracking Audit

Verify your Meta Pixel and conversion events are properly configured.

Audit the conversion tracking setup for my Facebook Ads account using data from the last 30 days. Check: 1) How many conversion events are configured? 2) Are there campaigns with significant spend but zero tracked conversions (possible pixel issues)? 3) What's the ratio of click-through to view-through conversions? 4) Are there Aggregated Event Measurement priority conflicts? 5) Is the Conversions API connected and sending events? List any potential tracking gaps and recommend fixes.
Audit

Creative Fatigue Audit

Identify ads suffering from creative fatigue and declining performance.

Audit creative performance over time for my Facebook Ads account during the last 30 days. For each ad that has been running for more than 14 days, show: Ad Name, Days Active, Initial CTR (first week) vs Current CTR, Initial CPA vs Current CPA, and Frequency. Flag ads where CTR has declined by more than 30% from launch or frequency exceeds 4. Calculate how much spend went to fatigued creatives. Recommend a creative refresh schedule.
Audit

Campaign Structure Review

Evaluate whether your campaign structure follows best practices.

Review the campaign structure of my Facebook Ads account using data from the last 30 days. Analyze: 1) Number of ad sets per campaign (flag any with more than 10). 2) Number of ads per ad set (flag any with fewer than 2 or more than 6). 3) Campaigns with conflicting objectives targeting similar audiences. 4) Ad sets with budgets too low to exit learning phase (<50 conversions/week). 5) Campaigns without a clear naming convention. Provide a restructuring recommendation for any flagged issues.
Audit

Audience Targeting Audit

Review your audience targeting for efficiency and coverage.

Audit the audience targeting across my Facebook Ads account for the last 30 days. Review: 1) How many unique audiences are being targeted? 2) Are there overlapping audiences across ad sets (list the overlaps)? 3) What percentage of spend goes to broad vs. narrow targeting? 4) Are retargeting audiences being refreshed or are they stale? 5) Are exclusions set up properly (e.g., excluding purchasers from prospecting)? Rate each area as good/needs improvement and provide specific fixes.

Ready to use these prompts with your own data?

Connect your Facebook Ads account to Adzviser and start getting AI-powered insights in minutes. No coding required.

Start your 14-day trial