Research answer
What AppTrendKit can say about BT/BLE Scanner today
BT/BLE Scanner 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
- 1.0
- Released
- Aug 17, 2026
- Last updated
- Aug 17, 2026
- Content rating
- 4+
- Default storefront
- KR
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
Bluetooth Scanner turns your iPhone into a Bluetooth Low Energy explorer. Scan the environment, save the devices you care about, and inspect everything they broadcast — right down to the raw advertisement data. No cloud, no account, no internet connection needed: everything happens locally, straight from your device's Bluetooth hardware. FEATURES • Live scan of nearby Bluetooth LE devices, sorted by signal strength • Save devices to your list and give them your own nicknames • Swipe to remove a saved device at any time • Full detail view per device: signal strength (RSSI), TX power, MTU, connectable state, service UUIDs, manufacturer data, and more • Automatic background refresh keeps saved devices' signal strength and data up to date while you're on the Home screen • On-demand decoding of common BLE beacon formats — iBeacon, Eddystone, and Apple Continuity — shown as readable fields instead of raw hex • Export your saved device list as a JSON file via the share sheet • Scan preferences: auto-stop timer, hide unnamed devices, minimum signal strength filter — all remembered between launches • Dark mode by default, with a light mode toggle — your choice is remembered too • Fully offline operation, no tracking, no analytics PRIVACY Bluetooth Scanner does not collect, transmit, or store any data outside your device. Scanned and saved devices exist only for your current session; only your display preferences (theme and scan filters) are remembered locally on your device.
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, 9:34 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, 9:34 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology




