Automated calls are down 8% in 2022, thanks to their STIR/SHAKEN acceleration and regulatory enforcement

Automated calls are down 8% in 2022, thanks to their STIR/SHAKEN acceleration and regulatory enforcement

Automated calls are down 8% in 2022, thanks to their STIR/SHAKEN acceleration and regulatory enforcement

TNS’s biannual Robocall investigation report finds positive results in efforts to combat robocalls, but eroding consumer confidence in voice calls drives up demand for branded calls

Reston, Virginia, October 31, 2022– (work wire) – Progress by major US carriers implementing STIR/SHAKEN, stringent regulatory enforcement efforts, and the use of advanced call analytics helped cut robocall volume by 8% in the first half of 2022 compared to the same period last year (from 37.9 billion down to 34.9 billion). However, scammers and spammers continue to launch robocall campaigns from smaller carrier networks – and add automated scripts to the arsenal – to avoid detection.

These are among the main findings from the ninth edition of Transactional Network Services (TNS) Robocall investigation report released today.

Americans received 34.9 billion unwanted bot calls during the first half of the year, but only 8% of that volume originated from the seven largest US telecommunications companies (AT&T, Lumen, Charter, Comcast, T-Mobile, UScellular, and Verizon). Tier 1 carriers have made efforts to meet and exceed the FCC’s Call Authentication Framework requirements to mitigate robocall spoofing.

“As the FCC-mandated STIR/SHAKEN implementation continues to expand beyond Tier 1 carriers, we expect consumers to increasingly benefit from widespread efforts to combat robocalls — and our report data supports this,” Bill Versen said. . TNSCommunications Market Leader. “But the erosion of trust in voice calling is signaling damage, creating a need in the marketplace not only to protect subscribers from automated calls, but to offer branded communication solutions so that legitimate organizations can effectively reach consumers.”

This ninth edition of TNS Automated Communications Investigations Report includes several new insights:

  • Tier 1 carriers remain a small part of the problem – but the bot dialers are adapting. More than 75% of traffic between carriers originates from Level 1 carriers, but only 8% of unsolicited automated calls in the first half of 2022 came from Level 1 phone numbers (up from 5% during the same period in last year). The bump may be attributed to bad actors moving low-volume spoofs over large Tier 1 telephone numbering resources, using a variety of scams.

  • The erosion of trust in voice communication is driving up the demand for branded calls. A lack of consumer confidence in voice calls has forced three-quarters of Americans to never answer their wireless phone calls if they don’t recognize the number. However, 78% of survey respondents said they are more willing to answer the phone if the caller ID displays the logo and name of an organization they identify with. This behavior is driving strong demand for TNS Enterprise Branded Calling.

  • Level 1 STIR/SHAKEN carrier compliance yields automated call mitigation gains. More than 63% of the total wanted Intercarrier calls at the end of the first half of the year were signed as legitimate, an increase of 10% over the end of last year.

  • VoIP calls go down as part of high-risk calls. Forty-one percent of all high-risk calls and 81% of spam calls in the first half of 2022, up from 73% last year, originated from VoIP numbers. These are the two biggest sources of spam calls. High-risk calls have seen a sharp drop from 68% in 2021 as bad actors return to spoofing toll-free, wireless, and wired phone numbers.

  • Wireless phone numbers are more targeted by robocallers. With more calls terminated on wireless devices, the proportion of unwanted robocalls to wireless devices increased from 21% last year to 23% in the first half of 2022. Unwanted robocalls to wired devices decreased dramatically from 48% to 30% for the same Period .

  • Robotexters are spamming Americans with snowshoes. Consumer complaints to the Federal Communications Commission about unwanted bot texts have tripled since 2019, as spammers and scammers seize disposable ten-digit phone numbers easily obtained through web-based services or SIM cards. prepaid. Roughly half of bot text frauds during the first half of 2022 originated from bad actors using snowshoe messaging techniques, in which the sender spreads their attack across multiple phone numbers.

About the TNS robot call report

The TNS Robocall Investigation Report is a bi-annual update of key robocall trends and insights drawn from over 1.4 billion daily communication events across hundreds of carriers, and events analyzed by TNS Call Guardian® Analytics engine. Now in its ninth edition, this report analyzes data trends for the first half of 2022 (January-June) for two types of passive roaming calls: high-risk bot calls (fraud/fraudulent calls that attempt to obtain call recipients’ personal information and/or money) and nuisance robocalls. (which does not imply malicious intent or dereliction of non-compliance).

click over here To get a copy of 2022 TNS Robocall Investigation Reportninth edition.

About Transactional Network Services

From small rural operators in the United States to the largest multinational carriers, TNS meets the full needs of telecommunications operators in the United States and the world. TNS Call Guardian is a leading call analytics solution used by major US wireless service providers as well as US landline providers to deliver a superior user experience by protecting subscribers from high-risk and annoying robocalls. By analyzing over 1 billion call events across more than 500 operators each day and capturing crowdsourcing feedback, Call Guardian allows carriers to identify more unwanted automated calls than competitors. Call Guardian is a registered trademark of Transaction Network Services, Inc. For additional information, visit over here.

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#Automated #calls #STIRSHAKEN #acceleration #regulatory #enforcement

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