Writing & Content paid-advertisingconversion-trackingtROASprofit-optimizationmargin-modelingvalue-rules

Paid Conversion Value Mapper

Map ad conversions to profit so tROAS optimizes contribution value instead of raw revenue or order count.

FollowSkills review · FSRS-2.0
Not recommended
57/ 100 5-point scale 2.9 / 5
Trust18 / 25 · 3.6/5

The skill treats imported files as untrusted data, avoids requiring optional APIs, asks for confirmation before writing memory, limits its scope, labels data provenance, and states that it does not verify tracking. Deduction of 7: it does not specify minimization, redaction, or access controls for sensitive marketing/financial exports, provides no skill-specific rollback plan, and the author identity is not verified by the curated registry.

Reliability8 / 20 · 2.0/5

The procedure clearly covers inputs, missing-data handling, static-versus-dynamic decisions, proxy derivation, reconciliation, and routing for abnormal cases, making the happy path plausible. Deduction of 12: there are no skill-specific tests, execution reproductions, or standardized failure-output examples; memory writes and handoff depend on external shared protocols. Static calibration limits this to 10 or less.

Adaptability11 / 15 · 3.7/5

Triggers, audience scenarios, inputs, outputs, and non-fit boundaries are explicit, with Chinese-language metadata and prompts; the core workflow uses user-supplied exports rather than depending entirely on overseas services unreachable from mainland China. Deduction of 4: platform-specific differences, attribution/accounting boundary cases, and fallback scenarios when GA4 or COGS inputs are unavailable are under-specified.

Convention10 / 15 · 3.3/5

The document uses layered Quick Start, Contract, Data Sources, Instructions, Save Results, and Next Best Skill sections, and includes version 18.0.0, Apache-2.0 licensing, compatibility, examples, and limitations. Deduction of 5: it lacks a skill-specific changelog, named maintenance responsibility, and explicit update path; referenced shared documents are not expanded in the skill file.

Effectiveness6 / 15 · 2.0/5

The intended outputs are concrete: a value-model specification, QA sheet, proxy derivations, value-versus-count reconciliation, and launch-readiness conclusion. The formulas and needs-input rules support direct operational use. Deduction of 9: no representative completed output or statically verifiable real result is provided, and complete business data plus human review remain necessary; static calibration limits this to 7 or less.

Verifiability4 / 10 · 2.0/5

The skill supplies auditable Measured/User-provided/Estimated labels, formulas, reconciliation criteria, and explicit gap handling; repository context also indicates generic tests and security documentation. Deduction of 6: there is no independent execution evidence, third-party corroboration, or cross-source validation for this skill's key path, and generic tests do not establish its result correctness; static calibration limits this to 5 or less.

Evidence confidence:Low Reviewed Jul 20, 2026 Reviewed revision ebd436747f8f
The upstream repository has new commits since this review. The score still applies to the reviewed revision shown and may not cover the latest changes.
Before you use it
  • This is a static source review only; the skill, scripts, and connectors were not executed, so operability and numerical correctness are unproven.
  • The workflow may handle sensitive commercial data such as GA4 revenue, COGS, profit, and lead conversion rates; confirm redaction, storage scope, and access controls before use.
  • If real exports or close-rate/AOV inputs are missing, values should remain needs-input rather than estimated figures being used for live bidding.
  • The publisher is not verified by the FollowSkills curated enterprise registry, so maintenance ownership and provenance continuity require manual confirmation.
Review evidence [1][2][3][4][5][6][7][8][9]
See the full review method →

What does this skill do, and when should you use it?

This is one paid-ads skill from Aaron Marketing Skills, focused on defining and checking the conversion value model behind value-based bidding. It covers purchase, lead, phone, signup, and other conversion actions; margin or COGS adjustments; static versus dynamic rules; and proxy values for non-revenue actions. It works from user-provided GA4/ecommerce revenue and cost or margin exports, producing a value-model specification and pre-launch QA sheet. It does not verify event firing or UTMs, reconcile cross-platform attribution, or score the ROAS audit gate.

Confirms the bidding goal and conversion scope; inventories revenue-bearing and non-revenue actions; determines whether transaction values are dynamic or static; converts revenue to net value using margin or COGS; derives proxy values from average order net value and lead-to-sale close rate; checks for double-adjusting value rules; reconciles platform-received value against booked contribution; and reports whether the model is launch-ready or what must be fixed.

  1. A paid-media team is preparing tROAS or max-conversion-value bidding and needs to optimize toward contribution profit.
  2. An ecommerce business has materially different margins across SKUs or categories and must pass net value to the platform.
  3. A B2B advertiser needs defensible proxy values for leads, calls, or signups using close-rate and average-order inputs.
  4. An account is optimizing to revenue even though the business decision is based on margin, before relaunching or scaling spend.
  5. Platform-reported conversion value does not match finance-recorded contribution and requires a value-model sanity check.

What are this skill's strengths and limitations?

Pros
  • Separates gross revenue, net value, and proxy values for non-revenue actions.
  • Requires values to be labeled Measured, User-provided, or Estimated.
  • Includes static/dynamic rule selection and value-versus-count reconciliation.
  • Can run from user-provided exports without requiring paid ad APIs or MCP servers.
  • Clearly defines boundaries with conversion-signal-qa, attribution-reconciler, and ad-account-auditor.
Limitations
  • A complete net-value model requires margin or COGS data.
  • Proxy values remain unresolved without close-rate and average-order inputs.
  • The supplied material shows no dedicated test suite or platform-specific validation for this skill.
  • It does not validate tags or UTMs, perform cross-platform deduplication, or issue the ROAS R1/R2 verdict.

How do you install this skill?

Install the repository in Claude Code with /plugin marketplace add aaron-he-zhu/aaron-marketing-skills, followed by /plugin install aaron-marketing@aaron. On a compatible Agent Skills host, use npx skills add aaron-he-zhu/aaron-marketing-skills; the skill is at ad/activate/conversion-value-mapper/SKILL.md. The repository also supports git clone https://github.com/aaron-he-zhu/aaron-marketing-skills.

How do you use this skill?

Provide the account or offer topic, bidding goal, and GA4 purchase-value/ecommerce revenue plus margin or COGS export. Example: Set up my conversion values so tROAS bids to profit, not revenue. Bid goal: tROAS. Here is my GA4 purchase-value export and my margin / COGS by product-category export. For lead, phone, or signup proxies, provide average order net value and lead-to-sale close rate. Missing inputs should be reported as needs-input rather than replaced with guessed values. Ask before saving results to memory.

FAQ

Does it require paid APIs or MCP access?
No. It can operate on user-provided GA4 purchase-value, ecommerce order, COGS, or margin exports. Ad-platform APIs and MCPs are optional conveniences.
Does it directly change bidding or account settings?
The supplied material describes a value-model specification and QA workflow, not automatic changes to an advertising account.
Is it necessary for an account optimizing only for conversion count?
No. The skill says a value model is optional when the account has no value-based bidding goal.
Does it replace an ad-account audit?
No. It is a value-side prerequisite; after the value model and signal are fixed, ad-account-auditor evaluates R1/R2 and the full RQS.

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