{"id":1038,"date":"2020-09-23T18:50:39","date_gmt":"2020-09-23T22:50:39","guid":{"rendered":"https:\/\/cyburityllc.com\/?p=1038"},"modified":"2024-04-22T07:32:45","modified_gmt":"2024-04-22T12:32:45","slug":"how-to-avoid-being-marked-scam-likely-caller-id","status":"publish","type":"post","link":"https:\/\/dialer.one\/index.php\/how-to-avoid-being-marked-scam-likely-caller-id\/","title":{"rendered":"How to Avoid Being Marked Scam Likely Caller ID"},"content":{"rendered":"\n
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Scam phone calls have existed for years. However, robocalling technology \u2014 systems that allow parties to dial numbers automatically or use prerecorded voice messages \u2014 have made receiving fraudulent calls much more common. In 2018, the number of robocalls made per month equaled an estimated 3.4 billion<\/a>. Though there are many types of non-fraudulent robocalls, ranging from emergency alerts to solicited telemarketing messages, the number of illegitimate calls remains significant.<\/p>\n\n\n\n

In response to the growing number of scam calls to mobile phones, many carriers and third parties have created tools to identify and block scam calls. Unfortunately, these tools aren\u2019t perfect. Businesses that use legitimate robocalls, and even some that don\u2019t, may have their numbers incorrectly marked by scam ID technology, particularly when calling cell numbers. With smartphones in the hands and pockets of 81 percent of U.S. adults<\/a>, you need to know that your calls are reaching your customers. Read on to learn how you can avoid being marked with a Scam Likely caller ID.<\/p>\n\n\n\n

What Is Scam Likely Caller ID?<\/h2>\n\n\n\n

In an attempt to improve customer experience, the carrier T-Mobile launched a feature called Scam ID, which is automatically enabled on T-Mobile and MetroPCS devices. When someone calls one of these devices, T-Mobile checks the number against its database of reported scam numbers. If the source matches a reported scam number, the person being called sees a message that says \u201cScam Likely\u201d alongside standard caller ID. The user can then decide whether or not to answer the call.<\/p>\n\n\n\n

In addition to Scam ID, T-Mobile and MetroPCS also allow customers to opt in to a Scam Block feature that prevents all Scam Likely calls from reaching the user\u2019s phone. Though T-Mobile was the first carrier to integrate this feature into their service for free, other carriers have since introduced their own paid and free versions. Third party apps also allow smartphone users to detect, report and block scam calls.<\/p>\n\n\n\n

While Scam Likely Caller ID features do help users avoid potential scams, they sometimes mark legitimate calls incorrectly. To understand why, let\u2019s take a look at what Scam ID uses to identify risky calls.<\/p>\n\n\n\n

What Scam ID and Other Services Look For<\/h2>\n\n\n\n

To identify likely scam calls, T-Mobile\u2019s Scam ID looks for two main traits associated with fraud and robocalling: a high volume of calls originating from the number and existing complaints filed about the number. This means numbers marked with \u201cScam Likely\u201d tend to be either numbers that originate a large number of robocalls or numbers that have a record of being reported by recipients as scams.<\/p>\n\n\n\n

Scam ID successfully blocks many illegal calls. However, there are two problems that lead to legitimate calls being blocked:<\/p>\n\n\n\n

1. The algorithm fails to distinguish between legal and illegal robocalls:<\/strong> Because the system looks only for high-volume originating numbers, the service may mark legal robocalls as scam. Examples of legal robocalls include calls from non-profits and telemarketing calls made with a person\u2019s express consent.<\/p>\n\n\n\n

2. Users may report a number erroneously:<\/strong> Some people avoid calls from all unknown numbers. As a result, some customers may report your number without answering the phone. If this happens enough, your number will be marked Scam Likely.<\/p>\n\n\n\n

How Scam Likely Phone Block Can Hurt Your Business<\/h2>\n\n\n\n

Getting a number marked Scam Likely incorrectly is common for businesses and organizations using legitimate robocalling. This mislabeling can harm your business by:<\/p>\n\n\n\n