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Intelligent Sales Technology Introduces 'Predictive Dialer 2.0'

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July 06, 2011

Intelligent Sales Technology Introduces 'Predictive Dialer 2.0'

By Jamie Epstein, TMCnet Web Editor

According to Intelligent Sales Technology, a traditional predictive dialer could be hindering businesses from completing a higher volume of sales without their knowledge. "Old school" predictive dialers abandon two to three percent of calls with every call attempt, they don't work well for B2B and complex B2C, and they only "predict" call time, not appointments or sales, according to the company’s website.

However, the new "Predictive Dialer 2.0" highly advanced algorithm can accurately predict how and when to call that contact, in order to raise sales rates. Working in conjunction with Intelligent Sales Technology’s PowerDialer platform – a platform which rarely if ever drops calls – users can ensure that they are leveraging the value of every lead; and agents are getting wind of every potential sale, with information going directly to them.  

Company officials revealed some of the advantages that this predictive dialer can provide when compared to other predictive dialer technology such as intelligent dialing which can dramatically elevate sale levels, estimated around a 67 percent increase in sales; blended inbound / outbound productivity; putting an end to abandoned calls; tailored specifically for B2B or complex B2C sales; one click voice messaging; high voice quality; full CRM integration; can be easily powered by only one user and an easy way to track agent activity and reporting.

The company offered potential users these statistics: If it takes 10 calls to make one contact (10 percent contact rate) and you abandon two to three percent of the calls that you attempt (which is typical with a traditional predictive dialer), then on average you will abandon two to three calls for every 10 people you contact (20 to 30 percent of net contacts).

Utilize the “Predictive Dialer 2.0” if you want to make the most of leads right away.

Jamie Epstein is a TMCnet Web Editor. Previously she interned at News 12 Long Island as a reporter's assistant. After working as an administrative assistant for a year, she joined TMC (News - Alert) as a Web editor for TMCnet. Jamie grew up on the North Shore of Long Island and holds a bachelor's degree in mass communication with a concentration in broadcasting from Five Towns College. To read more of her articles, please visit her columnist page.

Edited by Carrie Schmelkin

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