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Google ads client services

Skill gmmh1/claude-paid-media-skills/skills/google-ads-client-services

Package Google Ads expertise into a sellable service — proposals, pricing/retainer structuring, client onboarding, and scope of work. Triggers on 'how do I sell Google Ads management', 'price my Google Ads service', 'write a proposal for a Google Ads client', 'onboard a new Google Ads client', or 'what should I include in my retainer'. Business/agency-operations layer, not ad execution itself.From its SKILL.md

Install
npx -y skills add gmmh1/claude-paid-media-skills --skill google-ads-client-services

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SKILL.md

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Google Ads Client Services

Currency & scope note (last reviewed 2026-07-19): Platform mechanics referenced here (character limits, campaign-type names, feature availability, thresholds, benchmark figures, policy specifics) reflect general practice as of the review date above and are not guaranteed current — ad platforms change quickly. Verify anything mechanical against the platform's live documentation before relying on it for a real launch, real spend, or a compliance-sensitive decision. This is an independent, unofficial resource, not affiliated with or endorsed by any platform named in it, and nothing here is legal, tax, or financial advice.

Purpose

Turn Google Ads expertise (the other specialist skills in this library) into an actual service business: proposals that win clients, pricing that's profitable, onboarding that sets expectations correctly, and scope of work that prevents scope creep.

Trigger Conditions

  • "How do I sell Google Ads management as a service?"
  • "Price my Google Ads retainer"
  • "Write a proposal for a prospective Google Ads client"
  • "Onboard a new Google Ads client"
  • "What should be in my scope of work / contract?"

Required Inputs

  • Target client profile (SMB local business, ecommerce, B2B SaaS, agency-to-agency white-label)
  • Service scope being offered (full management, audit-only, one-time setup, ongoing optimization)
  • Pricing model preference or constraint (flat fee, % of ad spend, hybrid, performance-based)
  • Competing offers/market rate context, if known

Core Capabilities

Pricing Models

  • Flat monthly fee — predictable for both sides, common for SMB/local clients with smaller, stable budgets
  • Percentage of ad spend — scales with client growth but creates a perceived conflict of interest at very high spend levels (address transparently in the proposal)
  • Hybrid (base fee + % above a spend threshold) — common middle ground for growing accounts
  • Performance-based (fee tied to CPA/ROAS targets) — highest client appeal, highest business risk; only recommend once there's enough account history to price the risk correctly
  • Setup fee vs. no setup fee — a setup fee filters for serious clients and covers the disproportionate early-account work (audit, tracking setup, first build)

Proposal Structure

  • Lead with the client's specific situation and goal, not a generic capabilities list — reference their actual account/market if an audit was done pre-proposal
  • Scope section naming exactly which specialist work is included (campaign build, copywriting, optimization cadence, reporting cadence) so the client knows what they're buying
  • Pricing and term length (month-to-month vs. minimum commitment) stated plainly
  • What the client needs to provide (access, budget, response time on approvals, creative assets) — unmet client-side dependencies are a leading cause of stalled engagements

Scope of Work / Contract Boundaries

  • Define reporting cadence and format explicitly (route to google-ads-reporting conventions)
  • Define what counts as "in scope" optimization work vs. billable additional work (e.g., a full new campaign build for a new product line vs. ongoing tuning of existing campaigns)
  • Ad spend handling: client-paid-direct (client owns their own billing) vs. agency-billed (agency fronts and marks up spend) — flag the latter's cash-flow and liability implications
  • Kill clause / notice period, and what happens to the account (access, historical data) if the engagement ends

Client Onboarding

  • Discovery questionnaire: business goals, target CPA/ROAS, brand guidelines, competitor awareness, existing tracking/asset status
  • Access checklist: what account access, billing info, and brand assets are needed before work can start
  • Expectation-setting on timeline: campaigns typically need a data-accumulation period before Smart Bidding/optimization is meaningful — communicate this upfront so early "why isn't it working yet" conversations don't erode trust

Retention & Communication Cadence

  • Recommended reporting/check-in rhythm by client size (weekly for high-spend/high-touch, monthly for smaller retainers)
  • Proactive communication triggers (major performance shifts, policy issues, budget exhaustion) that should never wait for the next scheduled report

Workflow

  1. Clarify target client profile and service scope being offered.
  2. Recommend a pricing model matched to that client profile and the business's risk tolerance.
  3. Draft the proposal: client-specific situation, scope (naming the specific specialist work included), pricing, term.
  4. Draft scope-of-work boundaries covering reporting cadence, in-scope vs. billable-extra work, spend-handling model, and exit terms.
  5. Build the onboarding discovery questionnaire and access checklist for the specific client.
  6. Set the expectation-setting communication for the data-accumulation/learning period before results are judged.

Outputs

  • Pricing model recommendation with rationale
  • Client-ready proposal draft
  • Scope-of-work / contract boundary summary
  • Onboarding questionnaire and access checklist
  • Recommended reporting/communication cadence

Rules

  • Never propose performance-based pricing without enough account history or category benchmark data to price the downside risk — this protects the business offering the service, not just the client.

  • Always state explicitly what's in scope vs. billable-extra in writing before work starts — undefined scope is the most common source of unpaid agency work and client disputes.

  • Always set the data-accumulation/learning-period expectation during onboarding, before the first report, not reactively after a client asks why performance looks slow.

  • Flag the conflict-of-interest optics of pure percentage-of-spend pricing at high budgets, and offer a hybrid alternative when relevant.

  • This is a generic starting template, not a competitive edge in itself — it's published openly, so any competitor can read the same pricing logic. Treat it as a first draft to customize with real numbers, your actual positioning, and your track record before it goes to a client; your differentiation comes from execution quality and results, not from possessing this document.

  • Verification gate: before this skill's output is used to spend real money, submit a compliance-sensitive claim, or go to a client as final, verify the mechanical specifics (limits, thresholds, policy rules) against current platform documentation and get explicit human sign-off — do not treat this skill's output as launch-ready without that check.

Related Skills

google-ads-audit (pre-proposal account assessment for existing-account prospects), google-ads-reporting (ongoing client communication), google-ads-strategy (setting realistic client expectations on channel fit and CPA), all other google-ads-* skills (the actual scope of work being sold).

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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