DIY Paper Doll
Research answer
What AppTrendKit can say about DIY Paper Doll today
AppTrendKit estimates DIY Paper Doll's App Store USD gross consumer spend at $632–$4.6K and downloads at 489–3.9K during 2026-08-09 to 2026-09-07 (30-day window) 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 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
Modeled1.4K
Range 489 – 3.9K
Estimated App Store gross consumer spend · 30D
Modeled$1.7K
Range $632 – $4.6K
Estimated downloads · 7D
Modeled1.4K
Range 489 – 3.9K
Estimated App Store gross consumer spend · 7D
Modeled$1.7K
Range $632 – $4.6K
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 1.4K | $1.7K | 16% |
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.
| Storefront | Revenue | Share | Downloads | Rank | Confidence |
|---|---|---|---|---|---|
| United KingdomGB | $1.7K | 100.0% | 1.4K | — | 1% |
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
- 4.4.5
- Released
- Nov 23, 2022
- Last updated
- Jul 27, 2026
- Content rating
- 12+
- Default storefront
- ES
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
DIY Paper Doll es un juego de modas en donde creas avatares. Se basa en los clásicos juegos de papel y pegatinas que todos recordamos. ¡En este encantador juego, diseñarás tu propia muñeca! En DIY Paper Doll personalizarás tus muñecas con una gran variedad de opciones de ropa, accesorios, peinados y maquillajes. Viste a tus personajes y vive historias únicas. Este desafío de modas te permite crear tu propia muñeca mágica. Hay muchos atuendos de donde elegir: vestidos de colores, marcas de diseñador, zapatos y maquillaje. Crea avatares y también tu propia muñeca. Con DIY Paper Doll te convertirás en la reina de la moda y podrás personalizar tus encantadoras muñecas mágicas. Haz volar tu imaginación y vuélvete experta en la creación de avatares. ¡Mejora tus habilidades en este juego de diseño de muñecas! Mi estilo, mi historia. > Personaliza tu avatar con +1000 objetos > Desbloquea colecciones de ropa para mantener a tus muñecas a la moda > Personaliza el atuendo de tus muñecas, tono de piel, color de ojos, peinado y maquillaje > Crea un diario con fotos de tus muñecas con atuendos en distintos lugares > ¡Y mucho más!
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
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, 10:15 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: 1%; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:29 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology