Stop Spam Text app icon
Apple App StoreObserved metadata

Stop Spam Text

ZQ Labs, Inc.Utilities0.00 · 0 ratings
Open store
Publisher
ZQ Labs, Inc.
Category
Utilities
Version
2.3
Last updated
Jun 6, 2023
Public page · no login requiredMetadata observed Sep 7, 2026, 8:16 PM

Research answer

What AppTrendKit can say about Stop Spam Text today

Stop Spam Text 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

Modeled

No persisted estimate

The page does not turn missing evidence into zero.

Estimated App Store gross consumer spend · 30D

Modeled

No persisted estimate

The page does not turn missing evidence into zero.

Estimated downloads · 7D

Modeled

No persisted estimate

The page does not turn missing evidence into zero.

Estimated App Store gross consumer spend · 7D

Modeled

No persisted estimate

The page does not turn missing evidence into zero.

Revenue growth · 30D
Download growth · 30D
Grossing rank
Free rank

Evidence history

Collected daily performance

No daily metric history has been persisted yet.

No backfilled days
Daily metrics will appear here after the estimator has persisted more than one observation.

Rank history

Observed chart positions

Lower rank is better. Only collected observations are shown.

No positive rank observations are stored for this storefront yet.

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 method

Storefront mix

Top countries by estimated contribution

Country estimates are aggregated only after country-level predictions exist.

No country-level economics have been persisted for this app yet.

Monetization

Observed store economics signals

Classification
Free listing
Price
Free
In-app purchases
Not observed
Subscriptions
Not observed

These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.

App details

Store metadata

Version
2.3
Released
Dec 2, 2022
Last updated
Jun 6, 2023
Content rating
4+
Default storefront
HK

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.

Unavailable
No validated public IAP price observations have been persisted for this app yet.

Listing detail

What the store says

Do you want to block and filter out annoying spam messages instantly? Get the best spam text blocking app now. It is effective and secure, and easy to use. It protects you against spam and annoying text messages and SMS immediately, and potential fraud and property loss. Typically, smashing scammers will send you text messages that attempt to get you to click a link and then provide your personal or financial information, or attempt to make friends first and scam money from you later. Spam text messages and text scams are on the rise, and all of us receive these kind of messages recently or in the past! You and your property safety is very important. “Stop Spam Text” protect you from spam and scam text messages in real time. We build this for you to stop receiving these spam texts by filtering out and moving spam text messages or SMS to Junk folder directly, and removing related annoying spam message notifications. Here we introduce related functionalities and several easy-to-use features to achieve that. * Smart Filters - multiple smart filters to filter out spam SMS(text messages) and block from receiving these directly after enabling the filters including: * Email senders - Messages (SMS) sent from emails * Messages containing links from unknown senders, like scam URLs * All the Messages from unknown senders * Short numbers - Messages sent from short numbers * Block list of Keywords and Senders * You could customize the filter rulers and add the keywords and phone numbers to block. It will block the texts and move the text messages to Junk folder, if the text message (SMS) is from unknown sender and contains blocked keyword or from the phone number blocked. * Allow list of Keywords and Senders * It will bypass, and the messages containing the keyword in the allowlist or sent from the phone numbers in the allow list will not be filtered out and blocked. We also introduced some common suggested filters to help you set up the filter quickly to block these spam texts and protect you. # Your Privacy is important We understand privacy is very important. Stop Spam Text doesn’t access your personal information when deciding whether to block a spam text message. All your message contents will still be confidential and always safe with us after you use our service, and none of your confidential SMS contents like one time passwords ever leave your device. Download and use the app to block spam text messages and keep you and your money 24 hours safe from losses to fraud!

Publisher website

Store creative

Screenshots

Stop Spam Text screenshot 1
Screenshot 1
Stop Spam Text screenshot 2
Screenshot 2
Stop Spam Text screenshot 3
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Stop Spam Text screenshot 4
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Stop Spam Text screenshot 5
Screenshot 5
Stop Spam Text screenshot 6
Screenshot 6

Competitive set

Similar apps

Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.

Explore the full catalog →

Methodology and provenance

Read every number with its evidence

Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 8:16 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, 8:16 PM.

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Open methodology
Generated Not observedPublic data · no login required