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September 2018 Madison, WI Robocall Data
Calls Placed
8.2 Million
arrow_circle_up
(9.6% MoM)
Per Day
275.0K
Per Hour
11.5K
Per Second
3.2
Avg. Calls Per Person
7.6
arrow_circle_up
(9.6% MoM)
Per Day
275.0K
Per Hour
11.5K
Per Second
3.2
Avg. Calls Per Person
7.6
Top 20 Robocallers to Madison, WI in September 2018
| Robocaller | Place of Origin | Caller ID | Caller Type | |
|---|---|---|---|---|
| 1. | 414-877-3165 | Milwaukee, WI | Unknown | Unknown Robocaller |
| 2. | 800-955-6600 | Toll Free | Capital One | Bank/Credit Card Payment Reminder |
| 3. | 414-877-5338 | Milwaukee, WI | Debt Collector | Debt Collector |
| 4. | 770-467-3076 | Griffin, GA | Unknown | Unknown Robocaller |
| 5. | 833-525-8081 | Toll Free | Debt Collector | Service Payment Reminder |
| 6. | 888-303-1966 | Toll Free | Unknown | Debt Collector |
| 7. | 608-572-7290 | Madison, WI | Unknown | Unknown Robocaller |
| 8. | 608-443-1898 | Madison, WI | Debt Collector | Debt Collector |
| 9. | 855-247-1905 | Toll Free | Medical Customer Call | Medical Customer Call |
| 10. | 630-457-1780 | Geneva, IL | Unknown | Unknown Robocaller |
| 11. | 844-349-6207 | Toll Free | Fingerhut Collections Call | Debt Collector |
| 12. | 414-409-7709 | Milwaukee, WI | Debt Collector | Debt Collector |
| 13. | 866-396-4884 | Toll Free | Debt Collector | Unknown Robocaller |
| 14. | 210-346-2817 | San Antonio, TX | Kohls Department Store | Debt Collector |
| 15. | 414-386-3621 | Milwaukee, WI | Debt Collector | Debt Collector |
| 16. | 800-387-1357 | Toll Free | (800) 387-1357 | Debt Collector |
| 17. | 877-836-5643 | Toll Free | Citibank | Bank/Credit Card Payment Reminder |
| 18. | 877-587-5726 | Toll Free | Citibank | Debt Collector |
| 19. | 877-338-6191 | Toll Free | (877) 338-6191 | Unknown Robocaller |
| 20. | 800-676-4060 | Toll Free | Unknown | Call Alert |
Robocalls by Category
YouMail's Top 100 Robocallers
See which numbers are the highest volume robocallers!How does the YouMail Robocall Index™ Work?
The YouMail Robocall Index™ estimates monthly robocall volume in the US, as well as in various regions, and highlights the worst offenders. The index works by extrapolating the data collected from the many tens of millions of calls made each month to YouMail users.Working on a robocall story? We can help!
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