---
name: asgard-ai-platform/tw-ecom-analytics-benchmarks
source: https://app.decimal.ai/s/asgard-ai-platform-tw-ecom-analytics-benchmarks@1/SKILL.md
source_sha256: 967908e5c7d5
---

# 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_