Research answer
What AppTrendKit can say about Privé by Zalando | Outlet today
Privé by Zalando | Outlet 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
- 4.90.0
- Released
- Feb 9, 2024
- Last updated
- Sep 7, 2026
- Content rating
- 4+
- Default storefront
- CO
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
Ofertas fuera de lo común. Explora a diario nuestro outlet online para encontrar moda, hogar y hallazgos prémium a precios imbatibles. ● AHORRO DE HASTA EL 75 %*● ¡Disfruta de nuestros descuentos en prendas de diseño! No te pierdas nuestras ofertas actuales y futuras con nuestra newsletter. ● JOYAS DE MODA Y ESTILO DE VIDA● Descubre piezas elegantes de todas las marcas que te encantan. Nuevas ofertas todos los días a las 7 am.y a las 6 pm. ● ACCESO FÁCIL ● ¡Regístrate hoy, es gratis! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Tres razones para descargar nuestra aplicación 1. Disfruta de ofertas al momento 2. Marcas exclusivas rebajadas hasta un 75 %* 3. Ventas especiales de temporada - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - *comparado con el precio de venta al público recomendado por el fabricante Lo sentimos, pero nuestros servicios no estan actualmente disponibles en las Islas Canarias.
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
Lounge by Zalando | Outlet
Zalando SE
Zalando – fashion & clothing
Zalando SE
AfterShip Package Tracker
AfterShip Limited
Akcniletak.cz
Kingbee B.V.
AlleFolders
jafolders BV
BD Gold
IT THINK ZONE PRIVATE LIMITED
BIDU - Fashion & Shopping
MJ Art Group Company Ltd
Boardriders: товары для спорта
Sneakerbox LLC
Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 8:39 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, 8:39 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology