tw-ecom-analytics-benchmarks

name	tw-ecom-analytics-benchmarks
description	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.
metadata	{"category":"WP-01 電商","domain":"ecommerce-tw","layer":"analytics","related_mcps":[],"related_skills":["ecom-analytics","tw-ecom-analytics-ga4","biz-unit-economics","biz-cac-ltv"],"last_verified":"2026-04","status":"skeleton","tags":["taiwan","e-commerce","benchmarks","metrics"]}

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

Last verified: 2026-04