微信读书
Research answer
What AppTrendKit can say about 微信读书 today
AppTrendKit estimates 微信读书's App Store USD gross consumer spend at $5K–$10K and downloads at less than 5K during 2026-09-21 to 2026-09-27 (7-day window, partial total from 1 observed day) with storefront contributor coverage unavailable.
These are modeled public App Store estimates, not official publisher-reported figures. Storefront scope is stated only when persisted contributor lineage identifies it.
Performance
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 7D
PartialUnder 5K
Early estimate (1 day of data) · rough estimate
Estimated App Store gross consumer spend · 7D
Partial$5K–$10K
Early estimate (1 day of data) · rough estimate
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
- Free
- —
- Paid
- —
- Grossing
- #34
- Free
- —
- Paid
- —
- Grossing
- #37
| Date | Free | Paid | Grossing |
|---|---|---|---|
| Sep 27, 2026 | — | — | #34 |
| Sep 29, 2026 | — | — | #37 |
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
- Revenue range · 7D
- Under $5K
- Share
- 56.8%
- Downloads range · 7D
- Under 5K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
- Revenue range · 7D
- Under $5K
- Share
- 43.2%
- Downloads range · 7D
- Under 5K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
| Storefront | Revenue range · 7D | Share | Downloads range · 7D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| JapanJP | Under $5K | 56.8% | Under 5K | — | 14% · partial | Low | Sep 28, 2026 |
| United KingdomGB | Under $5K | 43.2% | Under 5K | — | 14% · partial | Low | Sep 28, 2026 |
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 10.2.2
- Released
- Aug 27, 2015
- Last updated
- Sep 17, 2026
- Content rating
- 4+
- Default storefront
- GB
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
「微信读书」是微信官方阅读应用，提供海量优质书籍和流畅的阅读体验，帮你记录阅读数据和读书笔记，更有丰富的 AI 功能，让阅读更轻松。 【发现优质好书】 提供百万优质正版书籍、品类丰富的书籍榜单和海量主题书单，帮你快速找到优质好书。 【书中讨论交流】 阅读时可浏览其他读者的观点，参与讨论，分享阅读心得，和书友碰撞出更多火花。 【随时随地听书】 海量正版书籍支持全文朗读，更有丰富的书籍讲解和有声书，随时随地解放双眼。 【记录阅读数据】 记录每日阅读数据，支持便捷查阅读书历史和笔记，随时回顾每一步的阅读历程。 【提升阅读效率】 AI 让阅读更轻松，你可以通过「AI 导读」快速了解书籍内容，也能「AI 问书」获得专业的概念解释。 更多信息请访问： 微信读书官方网站：https://weread.qq.com 在微信中搜索并关注“微信读书”公众号，获得更多阅读讯息 微信读书付费会员卡自动续费服务说明 【订阅周期】 连续包月产品，月卡（1个月），季卡（3个月），年卡（12个月） 【订阅价格】 连续包月 19元/月，月卡 30元/月，季卡 60元/季，年卡 228元/年 【付款】 用户确认购买并付款后记入 iTunes 账户 【自动续订】 苹果 iTunes 账户会在到期前24小时内扣费，扣费成功后，顺延一个订阅周期 【取消自动续订】 购买连续包月项目，除非您在当前计费周期结束前至少24小时取消订阅，否则项目会自动续订，您的帐户将在当前计费周期结束前24小时内收取续订费用。关闭 Apple ID 开通的微信读书付费会员卡连续包月服务，可以在 iOS 设备"设置" - "iTunes Store 与 App Store" - 选择"Apple ID" - 点击"查看 Apple ID" - 在账户设置页面点击"订阅" - 取消订阅 【隐私政策】 https://weread.qq.com/policy 【会员服务协议】 https://weread.qq.com/policy?type=membership
Store creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 28, 2026, 5:27 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: public-signal-ensemble-v6.
Confidence: Low; intervals widen when evidence or history is limited.
Last updated: Sep 29, 2026, 3:27 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology