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WeRead: Read Popular Novels icon

How much does WeRead: Read Popular Novels earn?

iOS app from ChangYi Co.,Ltd · Food & Drink

ML forecast ★ 4.1 · 1K +159.2% MoM Paid

~7.4K/mo

ML revenue forecast. Calibrated against 2020 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

WeRead: Read Popular Novels's revenue trajectory

Forecast revenue from snapshot history. Last 24 months.

Where WeRead: Read Popular Novels sits in Food & Drink

Revenue distribution of 2020 comparable apps. WeRead: Read Popular Novels highlighted.

WeRead: Read Popular Novels vs comparable apps

Revenue trajectory side-by-side. Bold = WeRead: Read Popular Novels, ghosted = peers.

App spec

Version
6.0.9
Last update
Apr 29, 2026
Launched
Sep 25, 2020
Min OS
13.0
Rating
12+
Price
Free
Monetization
Paid
Languages
EN

What WeRead: Read Popular Novels actually does (from App Store listing)

WeRead is an App for fiction reading, dedicated to serving all the fiction lovers! We have a variety of themes, including fantasy, martial arts, romance, urban, campus and so much more. Everything that you can think of is all here! We update bookstore everyday, releasing new chapters in seconds. It couldn’t be more convenient for readers! And we also have various event awaiting you! We keep trying and revising, just to be your closest reading companion. We have- 【Massive Fictions】 Cover popula…
Read full description →

🆕 What's new · v6.0.9

Feature optimization for a smoother reading experience.

Comparable iOS apps

The five apps in Food & Drink with the closest revenue to WeRead: Read Popular Novels. Click any to see its detail page.

AppRevenueRatingRatings
Novelpack icon Novelpack 7.4K ★ 4.5 2K
리디 - 웹툰, 만화, 웹소설, 전자책 모두 여기에! icon 리디 - 웹툰, 만화, 웹소설, 전자책 모두 여기에! 7.5K ★ 4.5 1K
Hop on Pop by Dr. Seuss icon Hop on Pop by Dr. Seuss 7.5K ★ 4.0 1K
NovellTale - Novels & Stories icon NovellTale - Novels & Stories 7.5K ★ 4.8 952
KAI: Erstellen Comic, Manga icon KAI: Erstellen Comic, Manga 7.3K ★ 4.0 1K
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on WeRead: Read Popular Novels's tracker page for current rating, reviews and snapshot timeline.

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