A predictive dialer is a computerized system that automatically dials batches of telephone numbers for connection to agents assigned to sales or other campaigns. Predictive dialers are widely used in call centers.
The predictive dialer monitors the answers to the calls it places, detecting how the calls it makes are answered. It discards unanswered calls, engaged numbers, disconnected lines, answers from fax machines, answering machines and similar automated services, and only connects calls answered by people to waiting sales representatives. Thus, it frees agents from listening to unanswered or unsuccessful calls.
A predictive dialer can dramatically increase the time an agent spends on communication rather than waiting: a 2002 survey indicated an increase in talk time from twenty minutes in the hour to almost fifty. The system is most suitable for low quality lists and large numbers of agents; a high contact rate can overwhelm the system.
It is commonly interfaced into CRM software, to both generate call lists and report call attempts. Unsuccessful calls are often analysed to determine if the number called needs to be called back later or needs special treatment, such as a manual or autodialed call by an agent to listen to an answer machine message.
Predictive dialer systems are commonly used by telemarketing organisations involved in B2C (business to consumer) calling as it allows their sales representatives to have much more customer contact time. Predictive dialers may also be used by market survey companies and debt collection services who need to contact and personally speak to a lot of people by telephone. More commonly predictive dialers are now being used as a quick and easy way to automate all sorts of calls which would otherwise be made manually by a call center, such as welcome calls for new customers, customer service call backs, appointment confirmations, or even for the automation of large numbers of ad hoc calls that might need to take place (such as by a taxi company, or parcel delivery service etc.).
They generally rely on the fact that if a person was to sit down and manually dial 1000 people, a large percentage of these calls will not result in contact with someone at the other end. Out of 1000 calls made, typically only about 25-35% would actually connect to a live person. Of the rest, a large number (often 40-60%) won't be answered at all, around 10% might be answering machines, faxes, modems or other electronic devices, around 5% of numbers would be busy and the rest will result in network errors, or be identified as invalid numbers. For call centers that need to make large numbers of outbound calls, this represents a large problem. Typically in manual dialing environments, a given agent will spend around 80% of their time listening to the phone ring waiting to talk to someone, or dealing with invalid numbers or answering machines and only about 20% of their time actually doing what they are really there to do. By using a predictive dialer to filter out these unproductive calls and to spare the agent from having to wait for the phone to be answered each time, call centers can reverse the situation. Agents can now spend on average around 80% of their time talking to customers and only about 20% of their time waiting for the next call - a 400% increase in productivity.
If a system has 100 agents working on it, the dialer will dial a number of calls, sometimes crudely based on a phone line to agent ratio of 1.5:1 or 2:1. This means that for each available agent, the system will dial the phone numbers of two potential customers. As these calls are made to the telephone network the dialer will monitor each call and determine what the outcome of the call was. From 150 calls made, the system will immediately strip out any unproductive outcomes, such as busy calls (these are usually queued for automatic redial), no answers & invalid numbers. Some predictive dialers incorporate "answering machine detection", which tries to determine if a live person or answering machine picked up the phone. This is one cause of the typical delays that one may experience before being connected to an agent.
If not enough calls are made ahead, agents will sit idle, whereas if there are too many calls made and there are not enough agents to handle them, then the call is typically dropped. A sophisticated system will throttle calls more appropriately to deal with these situations.
The advanced predictive dialer determines and uses many operating characteristics that it learns during the calling campaign. It uses these statistics continually to make sophisticated predictions so as to minimize agent idle time while controlling occurrences of nuisance calls, which are answered calls without the immediate benefit of available agents. An advanced predictive dialer can readily maintain the ratio of nuisance calls to answered calls at less than a fraction of one percent while still dialing ahead. However, this level of performance may require a sufficiently large critical mass of agents. Conversely, it becomes increasingly difficult to maintain a high talk time percentage with a lower number of agents without increasing dropped calls.
The experience for those who receive a predictive dialer call can be less satisfactory. There may an appreciable period of non-response before a call is routed to a sales representative. This annoys people and also gives them a chance to abandon the call. If no sales representative is available for a successful call, it is often disconnected. In certain countries, this disconnection is a breach of regulatory codes, and most countries now regulate limits on the number of silent calls that a company makes within a certain time frame. In the UK and the USA, these silent calls have caused concern and outrage amongst the public, and strict regulations now govern how these systems may be used, with threats of large fines for companies that abuse these systems.
In recent years, 'mixed' type predictive dialers have emerged. These predictive dialers are based on simpler hardware, such as voice modems, and more powerful software for answering machine detection and call progress detection. The biggest advantage of this type of predictive dialers is the substantial lower cost of ownership.
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