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by Agrici.Danielagricidaniel/claude-ads9.7k stars
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Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-ads/ads

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referencesbidding-strategies.md

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Bidding Strategy Decisions

Verified: 2026-08-25 Refresh due: 2026-09-24 Primary source: google-smart-bidding-official — Google Ads Help: About Smart Bidding Supporting source: google-target-roas-official — Google Ads Help: About Target ROAS

Bidding is a control system, not a ladder unlocked by a universal conversion count. Select an eligible strategy from the campaign objective, value signal, delivery constraint, and measurement quality shown in the current account UI.

Google describes Target CPA, Target ROAS, Maximize conversions, and Maximize conversion value as Smart Bidding strategies that optimize at auction time. Google also documents a June 2026 label transition that does not change the underlying bidding behavior. Availability and labels can change by campaign type, so verify them at run time.

Decision inputs

  • Primary business objective: visibility, traffic, accepted conversions, value, profit proxy, or another explicit outcome.
  • Conversion action, counting method, value source, attribution, and lag.
  • Historical volume and variance over complete conversion cycles.
  • Budget limitation, inventory limitation, seasonality, and auction coverage.
  • Owner-approved CPA, ROAS, contribution, cash, and policy boundaries.
  • Campaign-type eligibility and any beta, regional, or account restrictions.

If optimization data are incomplete or corrupted, repair measurement before changing the bidder unless containment is required.

Strategy logic

Goal Candidate strategy Evidence to verify
Maximize accepted conversion volume within budget Conversion-maximizing strategy Primary conversion is valid; budget and lag are understood
Hold an average acquisition-cost goal Target-cost strategy Target reflects mature account economics and is eligible
Maximize accepted value within budget Value-maximizing strategy Values are complete, comparable, and timely
Hold an average return goal Target-return strategy Value tracking and target economics are sound
Visibility or reach Impression/reach strategy Outcome is truly visibility; placement and frequency constraints are explicit
Exploration or measurement repair Manual/traffic strategy where available Time-boxed purpose, stop condition, and downstream risk are documented

The exact platform label is an observed capability, not a cross-platform translation. Do not assume that similarly named strategies have identical auction behavior.

Setting a target

Derive targets from accepted economics and mature account history. For Google Target ROAS, official guidance recommends using business goals and historical ROAS and evaluating over conversion cycles; the same page warns that an overly high target can restrict traffic. The page also carries an August 2026 bidding system update, so the active campaign state remains controlling evidence. This is platform guidance, not a guaranteed outcome.

Do not apply fixed target multipliers, fixed minimum conversion counts, or a fixed adjustment cadence across accounts. Record the source window, lag maturity, confidence interval or variance, and expected volume trade-off.

Change discipline

Before a bid change:

  1. Confirm no concurrent budget, conversion, targeting, creative, or policy change would confound interpretation.
  2. Use the platform's current simulator or experiment feature when suitable.
  3. Define the evaluation window in conversion cycles, not arbitrary calendar days.
  4. Draft a reversible change with owner-approved boundaries.
  5. Verify delivery, spend, accepted outcomes, and remote state after application.

For Google target adjustments, the official guidance says the bidder reacts to target changes but may need one to two conversion cycles to reach the target. Treat that duration as Google-specific guidance and verify it against the active campaign, not as a universal freeze period.

Diagnostic questions

  • Is under-delivery caused by target strictness, budget, eligibility, inventory, creative, audience, policy, or tracking?
  • Is apparent efficiency an attribution or mix shift rather than incremental value?
  • Are values net of cancellations, low-quality leads, and repeat-customer rules?
  • Is a portfolio strategy grouping campaigns with genuinely compatible goals?
  • Would a bid change violate a learning, experiment, or contractual constraint?

Unsafe recommendations

  • “Use manual bidding below N conversions” without platform/account evidence.
  • “Change the target by N% every N days” as a universal rule.
  • Broad match, negative keywords, placement expansion, or automation adoption prescribed solely from the bid strategy name.
  • Vendor-reported lift used as a forecast.
  • A bid mutation without exact account/object IDs, approval, verification, and rollback.

Source: SKILL.md on GitHub

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    The skill provides a set of markdown-based reference documents, policies, and guidelines for managing multi-platform paid advertising campaigns. No source code, executables, external scripts, or malicious injection attempts were detected in any of the audited files.

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    Risk: LOW · No issues

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    Score: 93/100 · 2 sections analyzed

Signed by skilld at c046344. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

Activeupdated 3 weeks ago

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