H&M
Research answer
What AppTrendKit can say about H&M today
AppTrendKit estimates H&M's App Store downloads at 10K–50K during 2026-08-29 to 2026-09-27 (30-day window projected run rate) 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. No qualifying USD gross-consumer-spend band is available for this listing.
Performance
Downloads, revenue and chart history
Estimates for the last 30D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 30D
Projected10K–50K
Early estimate (1 day of data) · rough estimate
Estimated App Store gross consumer spend · 30D
ProjectedNot enough data yet
Not enough data yet to show an estimate
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
- Free
- #89
- Paid
- —
- Grossing
- —
- Free
- #83
- Paid
- —
- Grossing
- —
| Date | Free | Paid | Grossing |
|---|---|---|---|
| Sep 27, 2026 | #89 | — | — |
| Sep 28, 2026 | #83 | — | — |
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 methodApp Store search
Keywords H&M ranks for
Observed positions in Apple's US search results, best first. Popularity is a 0–100 index, not a search count.
| Keyword | Position | Change | Popularity | Difficulty |
|---|---|---|---|---|
| clothes | #4 | new | 49 | 49 |
| fashion store | #5 | new | 45 | 44 |
| clothing | #5 | new | 38 | 41 |
| carter | #6 | new | 53 | 49 |
| coach | #12 | new | 40 | 32 |
| fashion & home | #17 | new | 60 | 53 |
| fashion shopping | #17 | new | 56 | 53 |
| fashion shop | #17 | new | — | — |
Storefront mix
Top countries by estimated contribution · 30D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
- Revenue range · 30D
- Under $5K
- Share
- 100.0%
- Downloads range · 30D
- Under 5K
- Rank
- —
- Coverage
- 3% · partial
- Confidence
- Low
| Storefront | Revenue range · 30D | Share | Downloads range · 30D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| GermanyDE | Under $5K | 100.0% | Under 5K | — | 3% · partial | Low | Sep 28, 2026 |
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 26.38.2
- Released
- Jul 7, 2018
- Last updated
- Sep 24, 2026
- Content rating
- 4+
- Default storefront
- US
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
Explore the latest styles in fashion, home and beauty with the H&M app. Discover inspiring collections and intuitive features that simplify the shopping experience — from instant search to real-time order updates. Features: Instant search: Quickly find any item with smarter results. Visual discovery: Snap or upload images for style suggestions. Save favourites: Build wishlists to shop and curate later. H&M Membership: Access points, perks and exclusive rewards. Track orders: Stay updated with real-time delivery information. Restock alerts: Find out first when favourites return. Seamless scanning: Scan in-store items to check sizes online. Experience a more streamlined way to shop — download the H&M app today.
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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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 27, 2026, 9:15 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: public-signal-ensemble-v6.
Confidence: Low; intervals widen when evidence or history is limited.
Last updated: Sep 29, 2026, 5:27 AM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology