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- Text Spam Arrest
- Text Spam Arrest Vs. Stop Spam Texts
Text Spam Arrest vs Stop Spam Texts Uso & Estadísticas
Per the FTC, the average scammed consumer lost $1,000 in 2022 to text message scams. This totaled to a whopping $330 million in consumer losses. And businesses, especially small biz owners, lost $660 million in 2022. We care about this & built this app to watch over your shoulder as a spam sentinel.
Text Spam Arrest uses an AI engine to detect spam. It has been trained on the entire English vocabulary. And also has seen every type of scam on the internet. These capabilities cover all the major sources of intrusion in your Messages inbox. These include the following 5 areas flagged by the FTC as the top ones of 2022:
Imposter Scams (posing as your relative or friend)
Online Shopping
Prizes, Sweepstakes, and Lotteries
Investments
Business and Job Opportunities
We have also built message classification for non-spam messages. All messages from unknown senders will be organized into separate folders. You can zoom in onto categories that matter to you and track your messages more effectively.
Here is how we classify messages from unknown senders:
- Promotions: Offers, promos, rewards for products or services
- Transactions: All other messages in one of the Subcategories below
Subcategories of Transactions include:
-Finance: Banking, Credit, Debit transaction messages
-Orders: Purchase orders, say from Amazon or Walmart or …
-Reminders: Appointment or booking reminders
-Health: Doctor, Dentist or Vet messages
-Weather: Earthquake or weather alerts
-Carrier: Your Internet or Wireless provider messages
Instructions:
After installing the app, go to Settings->Messages->Unknown & Spam. Click on the "Filter Unknown Senders" button. Then choose "Spam Arrest Filter"
To confirm these settings, now open your Apple Messages app. You should see all the folders we mentioned above.
NOTE: Spam filtering applies only to SMS/MMS messages from unknown senders not in your contacts list. Per Apple specs, it will not apply to iMessages.
End User License Agreement:
This app's usage conforms to Apple's End User License Agreement which can be accessed here: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
- App Store de Apple
- Pagado
- Servicios públicos
Clasificación de tiendas
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Say goodbye to spam. Use cutting-edge AI to automatically filter and hide unwanted or annoying texts from Messages:
• Spam texts
• Suspicious texts
• Phishing attempts
• Texts from known spammers
• Texts in languages you don't speak
• Texts with custom phrases
• Texts from email addresses
• Texts with malicious links
• Texts that are hateful, sexual, or violent
• Texts promoting events, goods, discounts, or coupons
• Texts about political causes, political surveys, or soliciting votes for elections
• Texts about orders or deliveries
• Texts about financial transactions
• Texts about reward programs or benefits
• Texts about public services, like road closures or weather alerts
• Texts about health, like flu vaccine appointments
• Texts reminding you of moments like appointments or pre-registered events
• Texts containing verification codes or login links
Chose which filters you need. All filters are optional and all are controlled by you.
Stop Spam Texts identifies spam in texts from unknown senders using an advanced, cutting-edge large-scale language model capable of understanding what's spam across languages.
Stop Spam Texts requires purchasing an in-app subscription for incoming SMS/MMS identification and filtering.
Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
- App Store de Apple
- Gratis
- Servicios públicos
Clasificación de tiendas
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Text Spam Arrest frente a Stop Spam Texts: comparación de la clasificación
Comparar la tendencia de clasificación de Text Spam Arrest en los últimos 28 días con Stop Spam Texts
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Comparación de las clasificaciones Text Spam Arrest frente a Stop Spam Texts por países
Comparar la tendencia de clasificación de Text Spam Arrest en los últimos 28 días con Stop Spam Texts
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Text Spam Arrest VS.
Stop Spam Texts
14iciembre d, 2024