Tw ecom analytics benchmarks

Skill charlieviettq/awesome-agent-skill/.claude/skills/tw-ecom-analytics-benchmarks

Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).

Install

npx -y skills add charlieviettq/awesome-agent-skill --skill tw-ecom-analytics-benchmarks

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

"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.".

SKILL.md

1.6 KB, as published. Nobody here has run it

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.

ecom-analytics
biz-unit-economics, biz-cac-ltv

Last verified: 2026-04