tw-ecom-analytics-benchmarks
Taiwan e-commerce benchmark ranges for CVR, ROAS, LTV, AOV, repeat rate, cart-abandon — segmented by vertical (3C, 美妝, 服飾, 母嬰, 生鮮) and channel (DTC, Shopee, momo). Use when a TW merchant asks 'is my CVR / ROAS good?' or when sizing a business case. Source discipline: cite industry report or vendor data; mark undocumented ranges as estimates. STATUS: SKELETON — body pending.
pinned to #4e7f4f8updated last month
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About this skill
Pulled from SKILL.md at publish time.
STATUS: SKELETON — body pending.
Automated checks the publisher passed at publish time — structure, docs, safety, and whether the artifact behaves as claimed.4e7f4f8· last month
Documentation
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Description quality
70 words · 376 chars — "Taiwan e-commerce benchmark ranges for CVR, ROAS, LTV, AOV, repeat rate, cart-ab…"
README is present and substantial
33,936 chars · 20 sections · 3 code blocks
Tags / topics declared
13 total — ai-agent, anthropic, claude, claude-agent-skills, claude-code, coding-agent (+7)
README has usage / example sections
no labeled section but 3 code blocks document usage
Homepage / docs URL declared
https://vault.asgard-ai.com/skills/
Description is substantive
Description is 70 words.
Documentation present and substantive
Documentation present (SKILL.md, 255 words).
Release history
1- releasecurrent4e7f4f8warnlast month
Contents
Taiwan E-Commerce Benchmarks
STATUS: SKELETON — body pending.
When to use this skill
- A merchant asks "is my CVR / ROAS / LTV good?"
- Sizing a business case (revenue / ad-spend projections)
- Comparing performance across verticals or channels
- Investor / banker deck benchmarks
Do NOT use when
- Instrumentation itself →
tw-ecom-analytics-ga4 - Unit economics framework →
biz-unit-economics
Core concepts
TODO: benchmark tables by vertical × channel, sourced ranges with citations.
Decision tree
TODO: merchant profile → applicable benchmark row.
Implementation guidance
TODO: comparison template, outlier-flag criteria, what to do when outside range.
Gotchas
TODO: 5-6 pitfalls (stale benchmarks, vertical misclassification, channel-mix distortion, attribution-model divergence, peak-period distortion).
IRON LAW
TODO (candidate: "All benchmark ranges must cite source + year. An uncited number is worse than no number.").
Output Format
TODO.
Related
ecom-analyticsbiz-unit-economics,biz-cac-ltv
Last verified: 2026-04
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Related
Verification Before Completion
Evidence before assertions, always
Writing Plans
Turn specs into phased implementation plans
Test-Driven Development
Red → green → refactor discipline for any feature or bugfix
mh install skills/tw-ecom-analytics-benchmarks