Research answer
What AppTrendKit can say about UNiDAYS today
AppTrendKit estimates UNiDAYS's App Store USD gross consumer spend at $189–$1.5K and downloads at 3.5K–13K 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
Modeled6.8K
Range 3.5K – 13K
Estimated App Store gross consumer spend · 30D
Modeled$534
Range $189 – $1.5K
Estimated downloads · 7D
Modeled6.8K
Range 3.5K – 13K
Estimated App Store gross consumer spend · 7D
Modeled$534
Range $189 – $1.5K
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 6.8K | $534 | 69% |
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 | $534 | 100.0% | 6.8K | — | 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
- 10.7.19
- Released
- Feb 23, 2021
- Last updated
- Aug 31, 2026
- Content rating
- 12+
- Default storefront
- NL
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
Sluit je aan bij miljoenen studenten wereldwijd die UNiDAYS gebruiken om elke dag te profiteren van onverslaanbare studentenaanbiedingen van honderden topmerken, zowel online als in de winkel, volledig GRATIS. Ontvang kortingen en promotiecodes om je budget een boost te geven en optimaal van het studentenleven te genieten! STUDENTENKORTINGEN BINNEN HANDBEREIK Het enige wat je nodig hebt is het e-mailadres van je school, hogeschool of universiteit. Zo kun je elke keer dat je winkelt besparen met een UNiDAYS-promotiecode. Zo eenvoudig is het! Bespaar tot 50% op honderden merken, van mode tot reizen: - Mode, schoenen en accessoires van merken zoals Levi’s, New Balance, ASOS, Lounge en Urban Outfitters - Luister naar je favoriete nummers en bespaar op Apple Music - Trending beauty- en huidverzorgingsproducten van merken zoals Rituals - Reis naar vrienden en familie of ga op de ultieme vakantie met merken als FlixBus en Airbnb - Level up jouw fitness-game met sportmerken zoals Nike, adidas en Footlocker KLAAR OM GELD TE BESPAREN EN NOG VEEL MEER? Download UNiDAYS nu GRATIS en krijg direct toegang tot studentenaanbiedingen, universiteitsdeals, giveaways, kortingsbonnen, gratis producten en kansen, elke dag opnieuw.
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, 8:11 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, 10:56 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology