15 Claude Skills for Google Ads — Copy-Paste Prompts That Work

Evaluates your current bid strategy against alternatives and recommends the optimal approach based on your conversion volume, budget, and goals. Google offers 7 automated bid strategies — choosing the wrong one costs 15–40% in performance. This skill matches strategy to account maturity.

Conversion volume is the gating factor most advertisers ignore: Target CPA on a campaign with 12 conversions a month gives the algorithm nothing to learn from, and it will swing wildly. That’s why the prompt checks volume thresholds before anything else — the right strategy for your stage beats the theoretically best strategy every time.

Whatever it recommends, honor the transition plan. Switching bid strategies resets learning; expect one to two weeks of noisy performance and don’t judge the new strategy — or switch again — inside that window. The forecast skill (15) can model what the settled state should look like so you know what “working” means before you flip the switch.

Analyzes performance across all campaigns and builds a reallocation plan that shifts spend from low-performers to high-performers. Most accounts have 20–40% of budget trapped in underperforming campaigns. This skill models the impact of reallocation before you make changes — showing projected conversions and ROAS at different budget splits. For the Meta-side version of this and the other cross-platform skills, see Claude marketing skills for Google & Meta ads.

The three-scenario structure exists so you can act the same day: conservative shifts are safe to ship on the model’s word alone, while the aggressive scenario is a hypothesis to test over a month. Implement in steps — Google’s own guidance is to avoid budget changes larger than about 20% at once on automated bidding, or you re-trigger learning on both the donor and recipient campaigns.

Re-run the model two weeks after implementing and compare projected vs actual. The delta tells you how much to trust the next projection — and feeding the comparison back in (“last time you projected X, actual was Y, recalibrate”) measurably tightens round two.

Generates responsive search ad variations optimized for your keywords, audience, and competitive landscape. Google requires 15 headlines and 4 descriptions per RSA — most advertisers reuse the same messaging. This skill creates differentiated variations using proven copywriting frameworks (PAS, AIDA, social proof) and pins them strategically.

The competitor-ads input is the highest-leverage field in the prompt. Search your own top three keywords in an incognito window, copy what the ads above and below you say, and paste it in. Claude writing against the live auction produces headlines that differentiate; Claude writing blind produces headlines that sound like everyone else’s.

Check every headline against the 30-character limit before uploading — ask Claude to print the character count next to each line and rewrite any that exceed it. And resist over-pinning: pin position 1 for compliance or brand rules if you must, but each additional pin removes combinations Google can test. For scaling creative production beyond a single ad group, see automated ad creation.

Evaluates how well your landing pages align with the keywords and ads driving traffic to them. Keyword-to-landing-page mismatch is the #1 cause of low Quality Scores and high bounce rates. This skill scores each landing page on relevance, intent match, and conversion optimization — then tells you what to change.

This is the skill that closes the loop the Quality Score Analysis opens: when skill 03 says “Landing page experience: below average,” this one tells you which of the seven dimensions is failing and hands you the rewrite. The double weighting on message match and intent is deliberate — a fast, pretty page that answers the wrong question still converts at zero.

Work pages in order of spend, not score. A page scoring 5/10 with $8,000/month behind it outranks a 3/10 page getting $200. And after shipping the changes, give it two weeks and check both numbers moved: Quality Score’s landing page component in Google Ads, and conversion rate for the ad groups pointing at that page.

Scans your account for statistical anomalies — metrics that deviate from their historical baseline by more than 2 standard deviations. Catches problems that daily monitoring misses: gradual CPC creep, slow conversion rate decay, impression share erosion. Most anomalies are invisible until they’ve been bleeding budget for 7–14 days.

The trend-drift check matters more than the spike check. Spikes announce themselves; a conversion rate that slips 1% a week never does, and by the time the monthly report shows it you’ve funded six weeks of decay. Statistical baselines catch the slide in week two.

Triage the output like a pager: Critical means investigate today (hand it straight to the CPA Spike Diagnosis with the anomaly named), Warning means verify the data first — conversion lag and tracking gaps produce false 2-SD alarms — and Watch items just go in the notes for next week’s digest. If everything comes back “no anomalies,” that’s a good week, not a wasted run.

Creates a one-page executive summary from your Google Ads data — written for CMOs and VPs who have 2 minutes and need the “so what.” Translates PPC jargon into business impact: not “CPA dropped 12%” but “we’re acquiring customers for $8 less each, saving $4,200/month at current volume.”

The business-context bracket is doing more work than it looks like. “B2B SaaS, $99/month product, sales cycle 45 days, board cares about pipeline” produces a completely different summary than the same data with no context — because “what worked” depends on what the business is trying to do. Two sentences of context is the cheapest quality upgrade in this whole guide.

Before forwarding, verify the headline stat against the platform yourself. It’s the one number your CEO will repeat in the next meeting, and it should be bulletproof. Everything else in the summary can be directional; that line cannot.

Analyzes your auction insights data alongside industry benchmarks to show how you stack up against competitors. Answers the questions advertisers ask most: “Are we paying too much?” “Are our competitors outspending us?” “Where are we winning and losing?” The average Google Ads industry CPC varies from $1.16 (ecommerce) to $6.75 (legal) — context matters.

Benchmarks are for calibration, not judgment: being 30% above the industry-average CPC is fine if your conversion rate is double the norm, and being under benchmark on everything can just mean you’re buying cheap junk traffic. Read the three benchmark verdicts together, never one at a time. Current per-industry numbers to feed the prompt are in the 2026 Google Ads cost benchmarks by industry.

Watch the competitor set itself over consecutive runs, not just the metrics. A new domain entering auction insights above 20% overlap is earlier warning than any CPC movement — and it usually shows up here a month before it shows up in your costs.

Projects your ROAS for the next 30, 60, and 90 days based on historical trends, seasonality, and planned changes. Helps answer the budget question every advertiser faces: “If I increase spend by 25%, will ROAS hold or decline?” The model accounts for diminishing marginal returns — the curve that makes doubling budget rarely double results.

Treat the confidence intervals as the real output. A point forecast (“ROAS will be 3.4x”) is false precision from 90 days of data; the optimistic-expected-pessimistic band is what you can actually plan a budget around. If the pessimistic case at +25% spend still clears your target, scale with confidence. If only the optimistic case does, you’re gambling.

List planned changes honestly — a promo week, a landing page relaunch, a new competitor you spotted in auction insights. The model can only account for what you tell it, and an unmentioned Black Friday will make any forecast look broken. Score forecast-vs-actual each month; the error trend tells you when the model has earned bigger budget decisions.