IN THIS ARTICLE:
Key Takeaways
1
Claude for Google Ads compresses 12 hours of weekly reporting work into under one hour.
2
Diagnostic skills find problems; only strategic judgment determines which ones to fix first.
3
Quality Score decay is silent and expensive. Claude catches it before it compounds over months.
4
Smart Bidding trains on whatever signal you give it. A wrong signal means confidently wrong targeting.
5
The best Claude skills for B2B SaaS accounts are for 90-day sales cycles, not 7-day attribution windows.
Claude for Google Ads is genuinely useful, but only if you know which skills to build and what questions to ask.
I've spent nine years working within Google's advertising systems, and what strikes me most about how teams use Claude on ad accounts is that they prompt for the wrong things. They ask questions that sound analytical but don't produce decisions.
The 15 skills in this guide are built around the opposite principle: every single one outputs something you can act on in the next 30 minutes.
This isn't a generic prompt list. It's the framework I use on B2B SaaS accounts where the stakes are real, the sales cycles are long, and the margin for wasted spend is thin.
TL;DR: Claude connects to Google Ads via MCP or CSV export and runs structured diagnostics, optimization analysis, and weekly reporting in under 60 seconds per task. The 15 skills below are organized by function with copy-paste prompts and expected outputs. What they can't do is make strategic decisions. That's where nine years inside the platform matters.
What Claude for Google Ads Actually Does And How to Connect It
Claude for Google Ads works through two methods.
The first is MCP, a direct API connection that gives Claude live access to your account data. The second is CSV export, where you pull a report from Google Ads and paste or upload it into Claude's interface.
MCP is faster and more powerful for monitoring. CSV works perfectly for one-off audits without any setup.
For the MCP setup, the best Claude connectors guide covers the full comparison. It discussed Zapier, Composio, and others, with setup times and permission controls for each.
Marketing teams waste an average of 12 hours weekly pulling Google Ads data into spreadsheets. And yet, only 10% of advertisers optimize their accounts weekly as Google actually recommends. Claude doesn't solve the strategy gap, but it absolutely eliminates the time excuse.
15 Claude Skills for Google Ads (Copy-Paste Prompts)
Category 1: Diagnostics — Find What's Costing You Money
These five skills are the ones I run first on any account I haven't seen before. They surface the problems that are silently compounding right now.
# | Skill | Copy-Paste Prompt | Output |
1 | Wasted Spend Audit | "Analyze this search terms report. Identify all terms with 30+ clicks and zero conversions over the last 30 days. Rank by spend. Group by campaign and flag the dollar amount being wasted in each." | Dollar-ranked budget leak list, ready for action as negatives |
2 | Quality Score Diagnostic | "Pull Quality Score data for all keywords. Flag everything below 7. For each, identify whether the likely cause is ad copy relevance, landing page experience, or expected CTR, and group by ad group." | Root-cause separated QS breakdown, fixes the right problem first |
3 | Impression Share Analyser | "Show impression share lost to budget and impression share lost to rank for each campaign separately. Flag where rank loss exceeds 20%, these need bid or Quality Score intervention, not budget." | Two distinct problems kept separate, preventing the wrong fix |
4 | CPA Spike Diagnosis | "My CPA has increased [X]% over the last [period]. Analyze performance by campaign, device, day of week, and search term category to identify where the increase is concentrated and what changed." | Spike source identified with enough context to act |
5 | Conversion Tracking Audit | "List all conversion actions currently tracking in this account. Flag any with zero fires in the last 30 days, duplicate conversion counting, or attribution window settings below 30 days for a B2B product." | Broken tracking caught before it corrupts Smart Bidding |
Auction dynamics, Quality Score calculation, and Smart Bidding signal processing are all crucial actions when running Google Ads. Having a clear understanding of how Google Ads actually works mechanically makes these diagnostic outputs significantly more useful. Without that foundation, you're reading the report without understanding what's driving the numbers.
Category 2: Optimization Signals — Know What to Change
These skills don't make decisions. They give you the inputs for decisions, which is exactly what you need if you want to move quickly without moving wrong.
# | Skill | Copy-Paste Prompt | Output |
6 | Negative Keyword Generator | "Analyze 60 days of search terms. Generate a complete negative keyword list grouped by match type, such as exact, phrase, and broad. Include irrelevant intent clusters I haven't triggered yet based on my keyword themes." | Ready-to-import negative list with match type logic |
7 | Bid Strategy Alignment Check | "Compare my current tCPA/tROAS targets against actual 30-day and 90-day performance per campaign. Flag any campaign where the target is more than 25% away from actual, and specify if I'm over-constraining or under-constraining the algorithm." | Bidding misalignment surfaced before it compounds |
8 | Search Intent Clustering | "Take my search terms from the last 14 days and cluster them by buyer intent stage: awareness, consideration, and decision. Flag any decision-stage queries not currently captured in my exact match keyword list." | Intent architecture input, not just a terms list |
9 | Ad Copy Performance Split | "Analyze RSA headline and description performance. Rank by CTR and conversion rate separately. Flag the bottom three headlines and bottom two descriptions for replacement and suggest what angle each underperformer is missing." | Specific copy discard logic with a direction for replacement |
10 | Attribution Lag Mapping | "Compare conversion volume at 7, 14, 30, and 60-day windows per campaign. Calculate how much performance is being undercounted at the 7-day window. Flag campaigns where 30-day conversion volume is more than 40% higher than 7-day." | B2B-specific lag view that prevents cutting campaigns that are actually working |
This last skill matters more for B2B SaaS than any other vertical. If you're evaluating campaigns on a 7-day window with a 60-day sales cycle, you're making budget cuts on incomplete data every single week.
The Google Ads attribution guide for B2B SaaS covers the full CRM-connected methodology that sits underneath this.
CTA Button: See if your Google Ads budget is working — use the ROI calculator.
Category 3: Reporting — Communicate Results Without Living in Dashboards
These skills turn account data into outputs that go directly to stakeholders, without formatting, pivot tables, or copy-pasting between tabs.
# | Skill | Copy-Paste Prompt | Output |
11 | Weekly Performance Summary | "Generate a weekly performance report with WoW deltas for impressions, clicks, CTR, CPC, conversions, CPA, and ROAS. Benchmark against the prior 4-week average. Surface three specific recommended actions." | CMO-ready summary in under 60 seconds |
12 | Budget Pacing Alert | "Check daily spend vs. daily budget target across all active campaigns. Project end-of-month spend at current pace. Flag anything pacing above 130% or below 70% and note the likely cause." | Spend control without daily dashboard checks |
13 | Competitor Position Report | "Analyze auction insights data. Rank competitors by overlap rate and impression share. Identify where my position has declined in the last 30 days and which competitors have gained share." | Competitive pressure map with directional actions |
14 | CAC by Campaign Report | "Calculate cost per acquisition by campaign for [period]. Compare against my target CAC of [X]. Rank campaigns by efficiency. Flag any exceeding 2x target CAC for review." | Budget allocation input grounded in unit economics |
15 | Pipeline Attribution Summary | "Map ad spend by campaign to pipeline stages using this CRM data: [paste]. Show cost per MQL, cost per SQL, and cost per opportunity. Identify which campaign type is generating the best quality pipeline, not just the most volume." | Full-funnel visibility. The report most B2B SaaS CMOs want, but few teams build |
Skills 14 and 15 are the ones that change budget conversations.
They shift the discussion from "our CPA looks high" to "our cost per SQL is X and our SQL-to-close rate is Y, which means this campaign is generating pipeline at Z cost per dollar of revenue."
That's the frame that protects budgets in downturns and justifies scaling in good quarters.
What Nine Years Inside Google Changes About How You Use These Skills
Every skill above is a faster way to get data. None of them tells you what the data means in context, and context is everything in Google Ads.
When Skill 3 shows you've lost 30% impression share to rank, there are four possible causes with four different fixes: Quality Score decay, bid constraints from tCPA settings, budget pressure from a competitor scaling up, or a match type change you made last week that's limiting eligible auctions.
Claude identifies the problem. Knowing which cause applies to your specific situation requires understanding the account history, the competitive landscape, and what Google's algorithm has been doing in your vertical.
This is the difference between the B2B Google Ads strategy work that produces a pipeline and the surface-level optimization that produces reports.
The insider perspective from nine years at Google covers what the algorithm actually rewards versus what it appears to reward, and they're not always the same thing.
For teams deciding whether Claude-assisted management or full agency management makes more sense at their stage, the in-house vs. agency decision framework is the most honest comparison I've seen. And if you're early-stage and figuring out how much to invest before the tooling question is even relevant, the seed-stage marketing budget guide is where to start.
The top Google Ads agencies in the US all use tooling like this. The difference is what they do after the diagnosis.
The Bottom Line
Claude for Google Ads is the most effective way to compress the diagnostic and reporting work that currently eats 10–15 hours a week.
The 15 skills in this guide will surface problems your account has right now, but you don't know about. Proper prompting and running a consistent schedule are necessary.
Wasted spend, Quality Score decay, attribution undercounting, and CPA spikes without a clear cause are issues in almost every account I've ever audited. Claude finds them fast.
What it won't do is tell you which ones to prioritize, how to restructure a campaign that's architecturally broken, or how to feed the right offline conversion signals into Smart Bidding so the algorithm trains on revenue instead of form fills.
That layer requires someone who has managed $50M+ across enough B2B accounts to know what's structural and what's noise.
ScalixAI is built for that layer. We manage Google Ads end-to-end for B2B SaaS companies. If your account should be producing more pipeline than it is, start by running your numbers through our Google Ads ROI Calculator and see what the gap actually looks like.
See Exactly What Your Google Ads Budget Should Be Producing
Built for B2B SaaS companies. Enter your spend, CPC, and close rate to see the pipeline gap in 60 seconds.
Run the Google Ads ROI Calculator →
Does Claude need MCP to run these skills, or can I use CSV exports?
Which skill should I run first?
How often should each skill category run?
Can Claude make changes to my Google Ads account?
Is Claude enough to replace a Google Ads agency?
