Windsor MCP for PPC: Audit Campaigns, Cut Waste & Improve ROAS

Every click costs money. Every delayed decision costs more.

PPC teams run campaigns across Google Ads, Meta, LinkedIn, TikTok, and other platforms, but the data lives in separate dashboards, each telling a different story. To answer even simple questions, teams jump between tools, export data, and reconcile numbers.

While that happens, budgets keep running and wasted spend adds up.

Windsor MCP changes this by connecting all your paid media data directly to ChatGPT, Claude, and other AI tools. Instead of stitching reports together, you can instantly see what is working, what is not, and where to shift the budget with the power of AI.

No manual exports. No spreadsheets. Just insightful answers.

🚀 Try Windsor.ai for free and connect your ad data to AI in minutes: https://onboard.windsor.ai/.

In this guide, you’ll find practical PPC use cases with ready-to-use prompts you can apply right away.

PPC analysis with Windsor MCP and AI: Use cases and prompts

See how to analyze your ad performance faster with AI.

Each use case includes the challenge it solves, a copy-ready prompt, and the expected output.

1. Multi-platform campaign performance analysis

The challenge:

When campaigns are running across Google Ads, Meta Ads, and LinkedIn Ads at the same time, every platform tells a different story. Google says ROAS is strong. Meta says conversions are up. LinkedIn says engagement is high. But none of those numbers sit next to each other, which means nobody has a clear picture of where the budget is performing.

Windsor MCP connects Google Ads, Meta Ads, and LinkedIn Ads directly to AI, so your team can pull a complete cross-platform performance view in seconds, compare true efficiency across channels, and make faster decisions without touching a single spreadsheet.

Prompt: Cross-platform performance digest

Use Windsor.ai to pull campaign performance data for [Account Name] over the last 30 days from the following sources:

From Google Ads include:
- campaign, clicks, impressions, ctr, conversions, cost, cpc, roas

From Meta Ads include:
- campaign, clicks, impressions, ctr, conversions, spend, cpc

From LinkedIn Ads include:
- campaign, clicks, impressions, ctr, conversions, cost, cpc

For each platform calculate:
- Total spend
- Total conversions
- CPA (cost divided by conversions)
- ROAS where available

Format the output as a comparison table with one row per platform, followed by a short summary of which platform is delivering the strongest efficiency.

Prompt: Platform efficiency comparison

Use Windsor.ai to pull Google Ads, Meta Ads, and LinkedIn Ads data for [Account Name] over the last 30 days.

For each platform include:
- Total spend
- Total conversions
- CPA
- ROAS
- CTR

Then answer:
1. Which platform has the lowest CPA?
2. Which platform has the highest ROAS?
3. Which platform has the strongest CTR?
4. If budget were shifted from the lowest performing platform to the highest, what would the projected impact be at current efficiency rates?

Format as a ranked table followed by a budget allocation recommendation.

What you’ll get:

A unified cross-platform view of exactly where every dollar is working, where it is being wasted, and which platform deserves more budget based on real performance data.

2. Budget allocation and waste identification

The challenge:

PPC budget waste is rarely obvious. It builds quietly—campaigns with no conversions, ad groups with high CPA, and underperforming placements running unnoticed.

By the time it shows up in a monthly report, the budget is already spent, and the opportunity is gone.

Windsor MCP connects your paid media data directly to AI, so your team can quickly spot wasted spend, identify what to cut, and reallocate budget before it’s lost.

Prompt: Wasted spend audit

Use Windsor.ai to pull Google Ads and Meta Ads data for [Account Name] over the last 30 days.

From Google Ads identify campaigns and ad groups where:
- cost is above $300 and conversions = 0
- CPA is more than 2x the account average
- roas is below 1.0

From Meta Ads identify campaigns and ad sets where:
- spend is above $300 and conversions = 0
- CPC is more than 2x the account average
- CTR has dropped more than 30% week over week

For each flagged item include:
- Campaign or ad group name
- Total spend
- Conversions
- CPA or CPC
- Recommended action: pause, reduce budget, or restructure

Sort by spend from highest to lowest.
Suggest an action plan for the next week to optimize results.

Prompt: Budget reallocation recommendation

Use Windsor.ai to pull Google Ads and Meta Ads data for [Account Name] over the last 30 days.

For each platform calculate:
- Total spend per campaign
- Total conversions per campaign
- CPA per campaign
- ROAS per campaign

Then identify:
1. The top 3 campaigns with the lowest CPA and strongest ROAS
2. The bottom 3 campaigns with the highest CPA and weakest ROAS

If 20% of budget were moved from the bottom 3 campaigns to the top 3, calculate the projected  impact on total conversions at current efficiency rates.

Format as a reallocation table with a short strategic recommendation.

What you’ll get:

A clear, data-backed picture of where the budget is being wasted and where it should go instead, so your team makes smarter allocation decisions every week.

3. Keyword performance and search term analysis

The challenge:

Prompt: Keyword performance audit

Use Windsor.ai to pull Google Ads data for [Account Name] over the last 30 days.

For all active keywords include:
- campaign
- ad_group
- keyword_text
- clicks
- impressions
- ctr
- conversions
- cost
- cpc
- roas

Identify:
1. Top 10 keywords by conversions with the lowest CPA
2. Bottom 10 keywords by conversions with the highest CPA
3. Keywords with more than $200 in cost and zero conversions
4. Keywords with a roas below 1.0

For each flagged keyword recommend one action: scale, pause, reduce bid, or restructure match type.

Format as four separate tables with a short summary underneath each one.

Prompt: Search term waste finder

Use Windsor.ai to pull Google Ads search term data for [Account Name] over the last 30 days.

For all search terms include:
- search_term
- campaign
- clicks
- impressions
- cost
- conversions

Identify:
1. Search terms with more than $100 in spend and zero conversions
2. Search terms that are clearly irrelevant to the business based on the keyword context
3. Search terms with high click volume but a conversion rate below 1%

For each flagged search term recommend:
- Add as exact match negative at campaign level
- Add as broad match negative at account level
- Monitor before adding to negatives

Summarize the total wasted spend across all flagged search terms.

What you’ll get:

A clean, prioritized keyword action list showing exactly what to scale, what to pause, and which search terms to add to negative keyword lists today, so your budget stops funding clicks that were never going to convert.

4. Ad performance analysis (top and underperforming ads)

The challenge:

Most PPC teams know some ads are working better than others, but identifying exactly which ones to scale or cut requires digging through multiple campaigns and ad sets.

Without a clear view, the budget gets spread across both high- and low-performing creatives.

Windsor MCP connects your ad data to AI, so your team can quickly identify top performers, underperformers, and wasted spend.

Prompt: Creative performance audit

Use Windsor.ai to pull [Meta Ads] data for [Account Name] over the last 30 days at the ad level.

Include:
- campaign, adset_name, ad_name, impressions, clicks, ctr, spend, cpc, frequency

Then identify:
1. Top 5 ads by conversions with the lowest CPA
2. Bottom 5 ads by conversions with the highest CPA
3. Ads with more than $200 in spend and zero conversions

For each top performing ad, summarize what the creative has in common with other top performers.

Format as a table with a short creative insight summary at the end.

What you’ll get:

A clear view of which creatives to scale, which to pause, and where budget is being wasted.

5. Creative fatigue detection

The challenge:

Even strong creatives stop working over time. Frequency rises, CTR drops, and performance declines, but this often goes unnoticed while campaigns continue spending.

By the time fatigue is obvious, performance has already suffered.

Windsor MCP connects your ad data to AI, so your team can detect fatigue early and act before results decline.

Prompt: Detect creative fatigue

Use Windsor.ai to pull [Meta Ads] data for [Account Name] over the last 30 days at the ad level.

For all active ads include:
- campaign, adset_name, ad_name, impressions, frequency, ctr, spend

Flag any ad where:
- frequency has risen above 3.5 in the last 7 days
- ctr has dropped more than 25% week over week
- spend is above $150 but conversions are declining

Summarize total spend running on fatigued creatives.

For each flagged ad recommend one of the following:
- Refresh creative
- Pause and replace
- Test a new variation with a suggested change

What you’ll get:

A list of creatives showing early fatigue signals, with clear actions to refresh, pause, or replace them before performance drops further.

Use Windsor.ai to pull [Meta Ads and LinkedIn Ads] data for [Account Name] over the last 30 days.

From Meta Ads, break down performance by audience segment and include:
- campaign, adset_name, age, gender
- impressions, clicks, ctr, spend, cpc, conversions

From LinkedIn Ads, break down performance by audience segment and include:
- campaign, member_job_title, member_seniority, member_industry, member_company_size
- impressions, clicks, ctr, conversions, cpc

For each platform, identify:
- Top 3 audience segments by conversion rate
- Bottom 3 audience segments by conversion rate
- Segments with high spend but low conversion rate

Finish with a short recommendation on which audiences to scale and which to reduce or exclude.

Use Windsor.ai to pull [Meta Ads] and [CRM (HubSpot)] data for [Account Name] over the last 90 days.

From Meta Ads include:
- campaign, adset_name, clicks, spend, conversions

From HubSpot, filter contacts where contact_hs_analytics_source = "PAID_SOCIAL" and include: - contact_lifecyclestage - contact_jobtitle - contact_industry - deal_amount - deal_dealstag

Then identify: - Which audience segments generate the highest value deals - Which segments produce leads that do not progress beyond MQL - Which job titles and industries convert fastest from lead to closed deal

Finish with a remarketing recommendation based on the highest-value customer profiles.

The challenge:

Clients and leadership do not want to deeply analyze dashboards. They want clear answers: how much we spent, what we got, and what to do next.

Building that report manually means pulling data from multiple platforms, formatting it, and writing the summary. It takes hours.

Windsor MCP connects your ad platforms directly to AI, so you can generate a complete, stakeholder-ready report in minutes.

Prompt: Monthly (weekly) PPC performance report

Use Windsor.ai to pull [Google Ads, Meta Ads, and LinkedIn Ads] data for [Account Name] for the last 30 days compared to the previous 30 days.

From each platform, include:
- campaign, clicks, impressions, ctr, conversions, spend/cost, cpc, roas (if available)

For each platform calculate:
- Total spend
- Total conversions
- CPA
- ROAS (if available)
- Month-over-month change for each metric

Structure the report as:
- Executive summary (max 3 sentences)
- Platform comparison table
- Top 3 wins
- Top 2 issues or opportunities
- 3 recommended actions for the next period

Write in plain language for a CMO or CEO.

Prompt: Weekly client update

Use Windsor.ai to pull [Google Ads and Meta Ads data] for [Account Name] for the last 7 days.

Include:
- campaign, clicks, conversions, spend/cost, cpc, roas

Visualize these stats in a beautiful reporting dashboard.

Add a short summary (under 150 words) covering:
- Total spend
- Total conversions and CPA
- One key win
- One issue
- One recommended action

Use a clear, direct tone for a non-specialist.

What you’ll get:

A clear, ready-to-share report covering performance, key changes, and next steps without manual work or formatting.

8. Campaign anomaly detection and early warning

The challenge:

Prompt: Daily account health check

Use Windsor.ai to pull [Google Ads] data for [Account Name] and compare the last 7 days against the previous 7 days.

Include:
- campaign, clicks, conversions, cost, ctr, roas

Flag any campaign where:
- Cost increased more than 30% with no corresponding increase in conversions
- CPA increased more than 25% week over week
- CTR dropped more than 25% week over week
- ROAS dropped below 1.0
- Conversions dropped to zero despite continued spend

For each flagged campaign include:
- Campaign name
- Metric affected
- Percentage change
- Severity level: Critical, High, or Watch
- Recommended action

Format as a prioritized alert list that can be reviewed in under 5 minutes.

Prompt: Budget pacing and overspend alert

Use Windsor.ai to pull [Meta Ads] data for [Account Name] over the last 7 days.

Include:
- campaign, spend, conversions

For each campaign identify:
1. Campaigns that have spent more than 80% of their monthly budget before the 20th of the month
2. Campaigns where daily spend has increased by more than 40% compared to the previous 7-day average
3. Campaigns that paused unexpectedly with remaining budget unspent

For each finding include:
- Campaign name
- Total spend to date
- Projected end of month spend at current rate
- Recommended action: reduce daily budget, pause, or investigate

Format as a budget pacing table with a short summary of total projected overspend.

What you’ll get:

An early warning system that catches budget waste, performance drops, and pacing problems, so you can act on them immediately.

9. Landing page and conversion rate analysis

The challenge:

Strong ads don’t guarantee results. You can win the click and still lose the conversion if the landing page underperforms.

Most PPC teams optimize campaigns, but what happens after the click lives in GA4. Without connecting the two, you only see half the funnel and miss where conversions are actually lost.

Windsor MCP connects Google Ads and GA4 to AI, so you can see which landing pages convert, which waste spend, and where to fix.

Prompt: Landing page conversion audit

Use Windsor.ai to pull Google Ads and GA4 data for [Account Name] over the last 30 days.

From Google Ads include:
- campaign, clicks, conversions, cost, ctr, roas

From GA4 (medium = "cpc") include:
- page_path, sessions, bounce_rate, average_session_duration, conversions

Match campaigns to landing pages and identify:
- Pages with 100+ paid sessions and bounce rate above 60%
- Pages with session duration below 30 seconds and spend above $200
- Pages where conversion rate is 50% below account average

For each page include:
- URL
- Paid sessions
- Bounce rate
- Session duration
- Conversion rate
- Spend
- Recommended action (copy, design, offer, or speed)

Sort by spend and end with an action plan for the next week.

Prompt: Campaign vs landing page efficiency

Use Windsor.ai to pull Google Ads and GA4 data for [Account Name] over the last 30 days.

Calculate for each campaign and landing page:
- Click → session rate
- Session → conversion rate
- Overall conversion rate
- CPA (based on GA4 conversions)

Identify:
- Campaigns with strong CTR but weak conversion
- Landing pages that convert well across campaigns
- Where a 20% conversion lift would reduce CPA the most

What you’ll get:

A full-funnel view showing where paid traffic drops after the click, which pages hurt performance, and where to focus to improve conversion rate and lower CPA.

10. Bidding strategy and bid optimization

The challenge:

Most teams set a bidding strategy and leave it running. But performance changes constantly; what worked last month may now be overpaying for the same results.

Without reviewing bid efficiency, campaigns either miss scale opportunities or spend too much for each conversion.

Windsor MCP connects your ad data to AI, so your team can see where bids are too high, too low, or limiting growth.

Prompt: Analyze bid efficiency and optimization opportunities

Use Windsor.ai to pull Google Ads data for [Account Name] over the last 30 days.

Include:
- campaign, bidding_strategy_type, clicks, impressions, cost, conversions, cpc, cpa, roas

Identify:
- Campaigns with high CPA vs account average
- Campaigns with strong ROAS but low spend (potential underbidding)
- Campaigns limited by budget or impression share (if available)
- Campaigns where CPC increased but conversions did not

For each flagged campaign recommend:
- Increase bid or target
- Decrease bid or tighten targeting
- Change bidding strategy (e.g. manual → tCPA, tROAS)

What you’ll get:

A clear view of where bids are hurting performance or limiting scale, so you can adjust strategy and improve efficiency.

11. Scaling opportunities

The challenge:

Most PPC workflows focus on fixing what’s broken. But growth comes from identifying what is already working and scaling it.

High-performing campaigns, audiences, or creatives often stay underfunded simply because no one surfaces them clearly.

Windsor MCP connects your ad data to AI, so your team can quickly identify where to increase spend with confidence.

Prompt: Identify scaling opportunities

Use Windsor.ai to pull [Google Ads and Meta Ads] data for [Account Name] over the last 30 days.

Include:
- campaign, clicks, conversions, cost, cpa, roas

Identify:
- Campaigns with CPA below account average and consistent conversions
- Campaigns with strong ROAS and stable CTR
- Campaigns with low spend but strong performance

Then:
- Estimate potential conversion lift if budget increases by 20–30%
- Flag campaigns that may saturate (high frequency or declining CTR)

Recommend:
- Which campaigns to scale
- How much budget to increase
- Where to shift budget from

What you’ll get:

A prioritized list of campaigns to scale, with clear budget recommendations based on real performance.

12. Ad copy and creative insights

The challenge:

Teams know which ads perform, but not always why. Without understanding patterns, new creatives are based on guesswork instead of data.

This leads to inconsistent performance and repeated testing of ideas that have already failed.

Windsor MCP connects your ad data to AI, so your team can extract patterns behind top-performing creatives.

Prompt: Extract winning creative patterns

Use Windsor.ai to pull Meta Ads or Google Ads data for [Account Name] over the last 30 days at the ad level.

Include:
- ad name, impressions, clicks, ctr, conversions, cpa

For top 10 performing ads:
- Analyze headlines, messaging themes, offers, and formats

Compare with bottom 10 ads and identify:
- Common elements in high-performing ads
- Common issues in low-performing ads

Then summarize:
- Top 3 messaging angles that drive conversions
- Creative formats that perform best
- Specific ideas for new ad variations

What you’ll get:

Clear patterns behind your top creatives, so your team can create better ads faster instead of relying on trial and error, along with winning ideas for new ad variations.

13. Audience targeting optimization

The challenge:

Audience targeting often expands over time without clear evaluation. Budgets get spread across segments that may not convert or deliver value.

Without structured analysis, teams keep targeting audiences that look active but do not drive results.

Windsor MCP connects your audience data to AI, so your team can refine targeting based on performance.

Prompt: Optimize audience targeting

Use Windsor.ai to pull [Meta Ads] data for [Account Name] over the last 30 days.

Break down performance by:
- audience segment, campaign, impressions, clicks, ctr, conversions, cpa

Identify:
- Top-performing audience segments by conversion rate
- Segments with high spend and low conversion
- Overlapping audiences across campaigns

Recommend:
- Which audiences to scale
- Which to exclude or narrow
- Where to test new targeting

What you’ll get:

A clear targeting strategy showing which audiences to focus on and which to remove to improve efficiency.

14. Quality Score analysis

The challenge:

Low Quality Score quietly increases CPC and reduces ad visibility. Many teams notice rising costs but do not trace the issue back to ad relevance, expected CTR, or landing page experience.

Without addressing this, campaigns become more expensive over time.

Windsor MCP connects Google Ads data to AI, so your team can quickly identify and fix Quality Score issues.

Prompt: Analyze Quality Score drivers

Use Windsor.ai to pull Google Ads keyword data for [Account Name] over the last 30 days.

Include:
- keyword, quality_score, expected_ctr, ad_relevance, landing_page_experience, impressions, clicks, cpc, conversions

Identify:
- Keywords with quality_score below 5
- Keywords with high CPC and low Quality Score
- Keywords where ad relevance or landing page experience is below average

For each keyword recommend:
- Improve ad copy relevance
- Adjust keyword targeting
- Optimize landing page

What you’ll get:

A prioritized list of Quality Score issues with clear actions to reduce CPC and improve ad performance.

Pro tips to get more value from Windsor MCP for PPC teams

These tips help you structure prompts correctly, avoid common errors, and get more accurate results from every query.

Include account IDs in prompts

Windsor supports multiple connected ad accounts, which means a prompt that queries without specifying an account can pull data from the wrong property.

Always include the exact account ID for every platform you are querying to keep your data clean and your analysis accurate.

For Google Ads account [Account ID] and Meta Ads account [Account ID], analyze the last 30 days...

Set a spend threshold in audit prompts

When running budget waste or keyword audits, always define a minimum spend threshold in your prompt. Without it, the AI will flag hundreds of low-spend items that are not worth the attention.

Setting a threshold like $200 minimum spend keeps the output focused on the decisions that drive real results.

Only include campaigns and ad groups where  cost exceeds $200 over the last 30 days...

Run weekly anomaly checks

Monthly reports catch problems after the damage is done. Set up a weekly prompt that checks for sudden CPA spikes, CTR drops, budget pacing issues, and campaigns that paused unexpectedly. Catching these issues early saves budget and prevents the awkward client conversation at month’s end.

Compare the last 7 days against the previous 7-day average and flag any metric that changed by more than 25% in either direction...

Use cross-channel prompts when you need a high-level comparison across platforms. For reporting and audits, run separate prompts for each platform (Google Ads, Meta, LinkedIn) to get more accurate and detailed insights. Avoid combining too much into one query; splitting analysis into smaller, focused prompts improves clarity, reduces noise, and makes recommendations more actionable.

Use platform-specific field names for cleaner results

Google Ads uses cost while Meta Ads uses spend. Google Ads uses roas while LinkedIn tracks conversions separately without a native ROAS field. Using the correct field names for each platform in your prompts avoids errors and produces cleaner, more accurate output for every question.

Cross-reference platform ROAS with GA4

Never trust platform-reported ROAS alone. Google Ads, Meta Ads, and LinkedIn all use different attribution windows and counting methods, which means their numbers rarely match reality. Always include a GA4 cross-reference in your monthly reporting prompts to show the true picture of what paid media is delivering.

Standardize your prompts for repeatable workflows

Turn your most useful prompts into templates (weekly checks, audits, reports). This makes analysis faster, more consistent, and easier to scale across accounts or clients.

Conclusion

Too much time goes into pulling data. Not enough goes into improving performance.

Windsor MCP brings your PPC data into one place and lets you analyze it with AI in seconds, so you can focus on optimization, not reporting.

Run a prompt. Get answers. Take action.

🚀 Start your 30-day free trial at Windsor.ai and connect your first paid media data source to AI in under a minute: https://onboard.windsor.ai/