conversion-value-mapper
FeaturedUse when the user asks to "set up conversion values so tROAS optimizes profit not orders", "map margin onto my purchase value", "build value rules for lead / phone / signup conversions", or "stop bidding to revenue when I care about profit"; defines and QAs the conversion VALUE model — per-conversion values, margin/net-value adjustment, static-vs-dynamic value rules, proxy values for non-revenue actions, and a value-vs-count sanity check — as a value-model spec plus a pre-launch value QA sheet. Not for whether the tag fires or UTMs are clean — use conversion-signal-qa; not for cross-platform double-count de-dup — use attribution-reconciler; not for scoring R1/R2 — that is a scored veto in ad-account-auditor. 付费广告转化价值建模/利润出价/价值规则QA
Install
Quality Score: 98/100
Skill Content
Details
- Author
- aaron-he-zhu
- Repository
- aaron-he-zhu/aaron-marketing-skills
- Created
- 8 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
conversion-signal-qa
Use when the user asks to "QA my conversion tracking before launch", "check my UTMs / pixel / event firing", "set up a tracking pre-flight", or "set the dedup rule so Meta and Google stop double-counting"; builds and fixes the measurement plumbing — conversion-event firing, UTM hygiene, cross-platform dedup rules, attribution-window alignment, and offline/iOS-ATT modeled-gap flags — as a pre-flight checklist plus a UTM/event-spec builder. Not for scoring R1/R2 — that is a scored veto in ad-account-auditor; not for account structure — use campaign-architect. 付费广告转化追踪QA/UTM规范/跨平台去重
value-integrity
Diagnose why conversion counts reconcile but reported revenue does not, and decide whether a return-on-spend figure is safe to quote. Use before publishing any ROAS, when revenue and the ledger diverge, or when a value parameter is suspected.
conversion-verifier
Verify whether the purchases your ad platform reports actually exist in your store, and produce a client-ready reconciliation report. Use this whenever someone questions their ad numbers, wonders if their ROAS is real, says their Meta/Google/TikTok conversions do not match Shopify or Stripe, sees a ROAS that feels too good, suspects over-attribution or double counting, is about to scale or kill a campaign based on platform-reported results, or asks how to audit, validate, sanity-check or reconcile ad conversion data against actual orders or revenue. Also use it when someone mentions attribution discrepancies, inflated conversions, phantom sales, view-through conversions, or asks "are these numbers real". Produces a professional report that separates the legitimate part of the gap from the part that has no explanation.