GDm-Health
Research answer
What AppTrendKit can say about GDm-Health today
AppTrendKit estimates GDm-Health's App Store USD gross consumer spend at $150–$1.1K and downloads at 147–1.2K 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
Modeled417
Range 147 – 1.2K
Estimated App Store gross consumer spend · 30D
Modeled$404
Range $150 – $1.1K
Estimated downloads · 7D
Modeled417
Range 147 – 1.2K
Estimated App Store gross consumer spend · 7D
Modeled$404
Range $150 – $1.1K
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 417 | $404 | 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 | $404 | 100.0% | 417 | — | 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
- 19.4.10
- Released
- Aug 12, 2018
- Last updated
- Mar 26, 2026
- Content rating
- 12+
- Default storefront
- GB
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
GDm-Health™ is for women with or at risk of gestational diabetes or who are pregnant with pre-existing diabetes and have been advised by their care professional to download this app. Features & Benefits: - Upload and track blood glucose (BG) readings - Show your BG readings as a list, in diary view and in a graph - Easily filter your BG readings to show trends - Provide additional notes to your care team - Request callbacks from your care team - Receive care guidance from your care professional direct to your app - Keep a history log of previous blood glucose readings - Provides a visual aid to enable you to keep on track with your BG monitoring - Source of information about Gestational Diabetes Mellitus (GDM) - Allows you to take better control of your condition - Source of pregnancy information about food and diet, weight management, activity and fitness - All personal data is encrypted and sent securely to your NHS Trust using HTTPS To utilise the full range of features in GDm-Health, your care team will need to be using the GDm-Health web-app dashboard. If you have not been advised to download this app, you should ask your caregiver if they use GDm-Health or refer them to: https://intercom-help.eu/huma-eu/en/collections/15507-gdm-health-for-patients For technical support, please email us at support@huma.com We always welcome feedback! Please email us at support@huma.com with your comments and suggestions for improvement.
Publisher websiteStore creative
Screenshots
Competitive set
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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: 1%; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:47 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology