# Average Revenue Per User

> YogoQ Core AI-readable term handoff. Preview, read-only, Reviewed/Verified only.

- Canonical URL: https://core.yogoq.com/en-US/core/average-revenue-per-user
- Locale: en-US
- Quality: reviewed
- Publication status: published_reviewed
- Schema version: core-reviewed-term-ai-handoff-v1
- Trust policy: core-trust-policy-v1-2026-06-22

## Short Definition

ARPU measures average revenue per user or customer.

## 一言でいうと

ARPU measures average revenue per user or customer.

## 計算方法

- Basic formula | ARPU = period revenue / average users | Measures revenue per user

## 含めるもの / 含めないもの

- Include | Period revenue and target user or customer count | They define unit revenue
- Exclude | Out-of-scope segments, undefined tax/refund treatment | They distort comparison

## 意味

ARPU tracks average revenue affected by pricing, usage, plan mix, and upsell. It can hide segment differences if read only as an average.

## 役立つ場面

- Use it when reviewing pricing, packaging, and LTV assumptions.

## 使い方のポイント

- Split by plan, region, and customer size rather than only using the overall average.

## 変動要因 / ドライバー

- Price / plan mix | Moves with higher-value plan share
- Usage / upsell | Rises with usage-based revenue and expansion

## 判断するときの注意点

- Fix whether the denominator is users or customers.

## よくある誤解 / 落とし穴

- A few large customers can raise the average, so check median and distribution.

## 最小例

Example: 10 million yen monthly revenue and 10,000 average users gives ARPU of 1,000 yen.

## 似ている言葉との違い

- LTV | Value across the relationship | ARPU is period average revenue

## FAQ

### Is ARPU different from ARPA?

ARPU usually uses users; ARPA usually uses accounts.

## Sources

- YogoQ Core business foundation editorial baseline

## Limitations

This page is reference information for research and learning. For accounting, legal, finance, health, security, or other individual decisions, confirm against primary sources or qualified professionals.

- Public pages support general understanding and practical context; they are not professional advice for individual cases.
- Fast-changing information such as regulations, accounting standards, prices, product specs, and legal requirements should be checked against primary sources before final decisions.
- Even when AI-assisted drafting or audit is used, publication relies on quality gates and human-readable evidence.

