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15 Claude Prompts for Google Ads Agencies Actually Use

Ionut CiobotaruJun 22, 202613 min read
15 Claude Prompts for Google Ads Agencies Actually Use

Copy-paste Claude prompts for Google Ads audits, wasted spend, ad copy, bidding, and client reports. Grouped by workflow, tested on live accounts.

Most lists of Claude prompts for Google Ads start with "act as a PPC expert with 10 years of experience." Skip those. A roleplay prompt with no data behind it produces advice you could have pulled from any blog post, because that is where it comes from.

The prompts below are written to run against your actual account data: real search terms, real conversion numbers, real budgets. That is where Claude stops being a writing assistant and becomes a junior analyst who never gets tired of pulling reports.

They work best with a live connection to your account. If you have not set that up, read our guide on how to connect Claude to Google Ads safely first. Pasting exported reports into a chat also works, just with more friction.

Five workflows, three prompts each. They are written to run as-is, with no fill-in-the-blank brackets to maintain. The rule behind all of them: if Claude is missing something it needs, it asks you for it instead of guessing. Three things worth knowing:

  • Which account comes first. Every prompt says "your account" and "all campaigns." If you have more than one Google Ads account connected, Claude asks which client or account you mean before it pulls anything. With a single account connected, it just runs.
  • The numbers are defaults, not rules. Spend thresholds, impression counts, and percentages are starting points sized for a mid-size account. Change them to fit yours.
  • Context only you have (budget targets, brand voice, the client's goals) is asked for, never assumed. Store it once with HYPD (more on that at the end) and Claude runs straight through without asking.

Want Claude to confirm everything up front? Paste this line above any prompt: "Before you run this, ask me which Google Ads account to use and anything else you need, targets, client goals, brand voice, margins. Don't assume."

Account audit and health: Claude prompts for Google Ads diagnostics

1. Full account health check

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Account health check
Pull performance for all enabled campaigns for the last 30 days and compare against the prior 30 days. For each campaign show spend, conversions, cost per conversion, conversion value, ROAS, CTR, and impression share. Flag any campaign where cost per conversion moved more than 20% in either direction, or impression share dropped more than 10 points. For each flagged campaign, list the most likely causes ranked by probability, and tell me what you would check next to confirm.

This returns a period-over-period table plus a shortlist of campaigns that need attention. Use it as Monday morning triage: you start with the three campaigns that actually moved. Follow-up: "go deeper on that campaign, break the change down by device, network, and top search terms."

2. Conversion tracking sanity check

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Conversion tracking check
Review conversion data across all campaigns for the last 30 days. Identify: 1. Campaigns with spend but zero recorded conversions 2. Campaigns where conversions dropped more than 50% week over week without a matching drop in clicks 3. Conversion actions that stopped recording entirely during the window For each issue, tell me whether the pattern looks like a tracking problem or a genuine performance problem, and explain your reasoning.

Broken conversion tracking is the most expensive silent failure in PPC: Smart Bidding keeps optimizing against bad data while everything looks normal. This separates "the tag broke on the 14th" from "the campaign stopped converting," two very different client conversations. Run it weekly. Follow-up: "show daily conversions for that conversion action over 60 days so I can see when it broke."

3. Budget pacing check

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Budget pacing
Ask me for the monthly budget target per campaign before you start (for example: Brand Search 3,000 EUR, Generic Search 8,000 EUR, PMax 5,000 EUR). Use today's date as the day of the month. Pull month-to-date spend per campaign and project end-of-month spend at the current run rate. Flag anything pacing above 110% or below 85% of target, and recommend a specific daily budget adjustment per flagged campaign to land on target.

You get a pacing table with concrete budget changes, not vague "consider adjusting" advice. This prevents the day-28 panic where one campaign quietly spent its month in three weeks. The math is simple; doing it across 15 campaigns and 8 clients by hand is the problem.

Wasted spend and search terms

4. Zero-conversion search terms, clustered into negatives

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Wasted search terms
Pull all search terms from the last 90 days with at least 20 EUR in spend and zero conversions. Cluster them into themes (for example: job seekers, DIY intent, wrong product category, competitor research). For each theme, give me total wasted spend, 3 example terms, and a recommended negative keyword list with match types. Order by wasted spend, highest first.

Instead of a raw 400-row search terms report, you get five or six named buckets with a price tag on each. "You spent 612 EUR on people looking for jobs" is actionable in a way a wall of queries never is. Sanity-check the proposed negatives, especially phrase match ones that could block good traffic. Follow-up: "format the top two themes as a paste-ready shared negative list."

5. Duplicate and overlapping keywords

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Keyword overlap
Analyze all enabled keywords across all search campaigns. Identify keywords duplicated or closely overlapping across campaigns or ad groups (same term, near-identical variants, or terms that will match the same queries). For each overlap, show which campaign or ad group is winning the traffic, compare their cost per conversion, and recommend which instance to keep and which to pause.

Overlapping keywords mean you compete against yourself, and the keyword serving the query is not always the one with the better ad or landing page. This surfaces those collisions with a keep-or-pause call on each. In accounts that have passed through three managers, expect an uncomfortably long list.

6. Low Quality Score keywords burning budget

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Quality Score audit
Find all keywords with Quality Score 5 or below that spent more than 50 EUR in the last 30 days. For each, break down the three QS components (expected CTR, ad relevance, landing page experience) and identify which one is dragging the score down. Group keywords by primary problem and recommend one fix per group: ad copy rewrite, tighter ad group, new landing page, or pause.

A low Quality Score is useless information without knowing which component is the problem: the fix for poor ad relevance (restructure the ad group) is nothing like the fix for poor landing page experience (the client's dev team). This gives you a diagnosis per keyword and a fix per group. Pair with prompt 12 if "tighter ad group" keeps coming up.

Ad copy and creative

7. RSA copy from top converting search terms

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RSA copy
Pull the top 20 converting search terms from the last 90 days. Using the actual language people search with, write 15 RSA headlines (max 30 characters) and 4 descriptions (max 90 characters). Before writing, ask me for the brand voice, any must-include USPs or offers, and anything to avoid, unless you already have them. Mark which headlines should be pinned and why.

This grounds your ad copy in the exact phrases that already convert instead of what a copywriter guesses people search for. Check character counts before uploading (Claude is good but not perfect at 30-character math) and make sure claims match the landing page. Follow-up: "now write a variant of this RSA for a returning-visitor RLSA audience."

8. Rewrite losers using what the winners share

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Rewrite weak ads
Compare the top 5 ads by conversion rate against the bottom 5 ads with at least 500 impressions over the last 90 days. Identify what the winners have in common: structure, claims, calls to action, specificity, use of numbers, anything measurable. Then rewrite each of the bottom 5 ads applying those patterns, keeping each ad's original keyword theme intact.

Instead of generic copywriting advice, you get a pattern analysis derived from what already works in this specific account, then rewrites that apply it. Maybe your winners all lead with a number, or all mention pricing. You will not know until you look, and this prompt looks for you.

9. A/B test variants with explicit hypotheses

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A/B test variants
Ask me for the control ad: paste its headlines and descriptions, or tell me which ad group to pull it from. Generate 3 challenger variants for an A/B test. Each variant tests exactly one variable. For each, state: the hypothesis (we believe X because Y), what changes, what stays fixed, and which metric decides the winner (CTR or conversion rate) with a rough minimum sample size.

The discipline is the point. Most agency "ad testing" is launching four random variants and crowning whichever looks best after a week. One variable per variant and a named success metric means the result teaches you something reusable in the next account.

Bidding and structure

10. Bid strategy fit check

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Bid strategy fit
For each enabled campaign, list the current bid strategy and conversion volume over the last 30 days. Evaluate whether each campaign has enough conversion data for its strategy: as a rule of thumb, Target CPA and Target ROAS want 30+ conversions per month. Flag mismatches (e.g. Target ROAS on a campaign with 8 conversions) and recommend a better-fitting strategy per flagged campaign, including what to expect during the transition.

Smart Bidding on starvation-level conversion volume is one of the most common problems in smaller accounts, and it produces erratic, unexplainable performance. This gives you a one-screen audit of strategy versus data volume. Treat recommendations as a discussion starter: switching bid strategies resets learning, so batch changes deliberately.

11. Budget-limited campaigns and reallocation

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Budget reallocation
Identify all campaigns and ad groups limited by budget (high lost impression share due to budget). For each, show daily budget, cost per conversion, and search lost IS (budget) for the last 30 days. Then model a reallocation: moving budget from campaigns with the worst cost per conversion to budget-limited campaigns with the best, keeping total spend flat, what is the projected change in monthly conversions? Show your assumptions.

This finds the money trapped in mediocre campaigns while your best performers hit their caps by 2pm. The projection assumes marginal performance holds, which it will not perfectly, so treat the number as directional. But "roughly 12 more conversions per month at the same spend" is a far stronger client conversation than "we should shift some budget around."

12. Structure review: ad groups that are too broad

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Ad group structure
Review the account structure. For each ad group, compare the keywords it contains against the search terms it actually matched over the last 30 days. Flag ad groups where keywords span multiple distinct intents or product categories, or where matched terms have drifted far from the ad copy. For each flagged ad group, propose a split: new ad group names, which keywords move where, and the ad copy theme for each.

Broad ad groups are upstream of half the problems in this list: weak ad relevance, poor Quality Score, generic copy. This finds the ad groups trying to be three things at once and hands you a restructure plan. Prioritize the flagged groups that also carry meaningful spend.

Client reporting and comms

13. Monthly client report in plain language

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Monthly client report
Write a monthly performance summary based on actual account data versus the prior month. Ask me for the client name and which month if you don't already have them. Audience: a founder who knows their business but not PPC jargon. Structure: what happened (3-4 bullets with real numbers), why (plain language, no unexplained acronyms), and what we are doing next month (specific actions, not "continue optimizing"). Under 300 words. Honest about what underperformed, no spin.

You get a client-ready draft that talks about results, not impressions and CTRs the client does not care about. The "no spin" instruction matters: clients trust reports that admit what went wrong. Edit before sending, always. Your name is on it, not Claude's.

14. Explain a performance drop to a nervous client

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Performance-drop email
Ask me which client this is and the period to analyze. Pull the data and identify the actual drivers of the conversion drop: seasonality, auction competition, budget changes, tracking issues, landing page changes, anything measurable. Quantify the size of the drop from the data. Then draft a short, factual, calm email to the client. No defensiveness, no burying the lede. State what happened, what caused it, what is within our control versus not, and the 2-3 things we are doing about it. End with when they will hear from us next.

The diagnostic half keeps you from sending a reassuring email that turns out to be wrong, and the drafting half keeps the tone steady under pressure. A clear "here is what happened and here is the plan" email, sent fast, has saved more retainers than any optimization ever has.

15. Quarterly business review summary

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QBR summary
Prepare a QBR summary covering the quarter versus the prior quarter. Ask me for the client name, the quarter, and the client's stated goal (for example: 40 demo bookings per month at under 150 EUR each) if you don't already have them. Pull spend, conversions, cost per conversion, and revenue, and connect them to that goal. Then give exactly 3 strategic recommendations for next quarter. Each must name the opportunity, expected impact, what it requires from the client, and what it requires from us. One slide of content per recommendation, maximum.

QBRs are where agencies prove they think about the business, not just the account, and three sharp recommendations beat ten vague ones. The "what it requires from the client" line is the quiet power move: it reframes the relationship as a partnership and surfaces blockers that usually get blamed on the agency later.

How to make these prompts 10x better

Every prompt above gets dramatically better with one addition: client context.

Claude can see that a campaign converts at 80 EUR. It cannot know whether that is great or a disaster unless you tell it the client sells a 49 EUR product, or a 20,000 EUR service with a 30% close rate. Same for margins, seasonality (a pool builder's October "performance drop" is called autumn), and what the client considers success.

You can paste this context at the top of every chat. Or store it once: HYPD keeps a context profile per client (business model, margins, seasonality, goals, brand voice), so every conversation starts informed, whether it is you running the prompt or a teammate covering your accounts. Combined with Claude skills for Google Ads that encode your standard workflows, the prompts stop being one-off questions and become a repeatable system.

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