Who makes 造詞小幫手?

造詞小幫手 is published by Scary.CatBox, launched on Aug 30, 2019.

Where does 造詞小幫手 rank in its category?

造詞小幫手 ranks #17182 of 63594 apps in Books & Reference, putting it in the top 27.0% by revenue.

How much does 造詞小幫手 earn?

Q: How much does 造詞小幫手 earn?

造詞小幫手 earns approximately 314 per month based on bumetric's ML revenue forecast, calibrated against 63594 comparable Android apps in Books & Reference.

Android app from Scary.CatBox · Books & Reference

ML forecast Free

~314/mo

ML revenue forecast. Calibrated against 63594 apps in this category.

Confidence band

±15%

High — many comparable apps with verified data

At a glance

Earns 1.52× more than the category median (206/mo).
Ranks #17,182 of 63,594 in Books & Reference (top 27.0% by revenue).
Launched Aug 30, 2019 · last updated Dec 24, 2024.

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

造詞小幫手's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where 造詞小幫手 sits in Books & Reference

Revenue distribution of 63594 comparable apps. 造詞小幫手 highlighted.

造詞小幫手 vs comparable apps

Revenue trajectory side-by-side. Bold = 造詞小幫手, ghosted = peers.

App spec

Version

1.7

Last update

Dec 24, 2024

Launched

Aug 30, 2019

Price

Free

Monetization

Free

What 造詞小幫手 actually does (from store listing)

孩子在國小學生字要造詞的時候，常會詢問父母親有什麼詞，要造句時，也會問有什麼句子，這時「造詞小幫手」就幫大忙了，簡單的輸入生字，就可以查詢到所有相關的字詞。不論你是要查詢生字，造詞，造句或者是成語，這裡都找的到。「造詞小幫手」所使用的資料，是由教育部國語辭典公眾授權網(https://resources.publicense.moe.edu.tw/)取得，相關資料採「創用CC-姓名標示- 禁止改作 3.0 臺灣授權條款」釋出本授權條款允許使用者重製、散布、傳輸著作（包括商業性利用），但不得修改該著作，使用時必須遵照「使用說明」之內容要求。

Comparable Android apps

The five apps in Books & Reference with the closest revenue to 造詞小幫手. Click any to see its detail page.

App	Revenue	Rating	Ratings
रवीन्द्रनाथ टैगोर की कहानियां	314	—	0
Tamil Audio Bible	314	—	0
Refranero Español	314	★ 4.5	164
Army Leader Smart Cards	314	★ 4.0	168
Bhajan Sangrah Offline	314	—	0

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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 造詞小幫手's tracker page for current rating, reviews and snapshot timeline.

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