| 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-analyticsbiz-unit-economics, biz-cac-ltv
Last verified: 2026-04
