Research answer
What AppTrendKit can say about DIY Paper Doll: Dress Up Games today
DIY Paper Doll: Dress Up Games has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
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
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.6
- Released
- Apr 12, 2023
- Last updated
- Aug 27, 2023
- Content rating
- 4+
- Default storefront
- AU
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
Get ready to play the best diy dress up dolls game. Sweet paper doll dress up diy is a sweet fashion game based on the classic paper arts and new craft that we love in paper girl yoyo doll dress up games. You are the creator of your own dress up game for girls sweet paper doll life. Customize your own free doll dress up in this adorable game where you can choose multiple magic paper doll games diy clothing, accessories, hair styles, and makeup asmr look in a chibi doll wide customized world in a doll makeover dolly avatar fashion dress up games. Design your yoyo doll dress up games characters to interact with the other yoyo doll school life and enter into the new world of the story with sweet paper doll dress up diy offline. Dress up dolls makeover paper games feature: * Unleash your paper folding imagination with 1000+ dolly avatar to style in doll games * Unlock a variety of sweet fashion trends so your yoyo doll dress up games style stays forever * Customize your diy paper doll eye color hairstyles, or even costumes in doll games * Make your diary filled with dolls images in different amazing magical princess dressup paper games * Smooth & easy single-tap controls in yoyo doll cute dress-up games Change your diy paper doll dress up clothes every day for every new place you visit and capture them in your paper girl diary in free doll dress up diy games. Push your limits to challenge your sweet paper doll and make your own stories in paper folding doll makeover paper games
Publisher websiteStore creative
Screenshots
Competitive set
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Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:04 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: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:04 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology