Intelligent outbound calling is outbound calling robot is to make phone calls for people? In fact, not, we can have a clearer understanding from the outbound call scene.
Now, the need for outbound calling scenes are mainly in these categories: telemarketing, collection, notification, return visits, verification.
1, telemarketing : Usually, the call center customer service needs to blindly hit the list of phone numbers, looking for and judging the intention and worth to follow up on the customer, to the need for customers to reach out to the information, essentially belongs to the marketing, but because of the precise marketing number is not precise enough, which also leads to the need for customer service to dial a large number of unfamiliar number to do the first round of initial screening. In the initial screening, the general connection rate is extremely low, the proportion of intentional customers is also less, a lot of repetitive work wasted a lot of time is useless. At this point, the intelligent outbound call can come in handy, in this demand scenario, the intelligent outbound call can be imprecise data machine initial screening, to get relatively accurate data, similar to the data cleaning, to help artificial "de-facto" to get real sales leads.
2, collection and notification : In a nutshell, the collection scenario needs and notification belongs to the same category, are to inform, notify the receiver some of the information they need to know, the receiver's feedback classification is also relatively simple: to know and agree to or refuse. In this type of scenario, the number of rounds required is usually short, the guidance and purpose are clear, and the call content is highly repetitive. In order to reduce the repetitive and inefficient workload, intelligent outbound calling can play a good role. In addition to this there are some O2O service class notifications, etc., intelligent outbound calling can also replace manual notification.
3, return visit and verification : In many business scenarios, customer service needs to give the company or website registered users and service customers one by one call back, service return visit and identity verification. For example, insurance order confirmation, 4S store service callback, part of the 2B business website registration confirmation. In this type of scenario, the number of conversation rounds is relatively long, but both parties agree to follow a fixed process of words, the purpose and intent of the call is clear, the call content is highly repetitive, it is very suitable for intelligent outbound dialing to reduce the repetitive workload of the customer service staff to enhance work efficiency.
Telephone as the enterprise and the customer's most important way to reach, every day need to contact the massive number of customers, if all the use of manual customer service operations, is bound to require a lot of labor costs and equipment costs, is not conducive to the development of the enterprise to reduce the cost and in terms of efficiency, manual customer service in the face of a large number of repetitive mechanical communication operations, the efficiency of the obvious lower than the use of intelligent outbound, and the future, with the further enhancement of the level of AI technology, intelligent outbound dialing can be used to reduce the repeated workload, enhance work efficiency. Further enhancement of the level of AI technology in the future, intelligent outbound call can achieve the alternative surface will be broader, will also gradually reach the popularization in the enterprise.