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Use lead-centric datamining tools to boost outbound results by providing much-needed context for calls. “Forget about software that does not have omnichannel features. Individuals are more likely to answer recognizable or local numbers instead of random, unknown ones.” Use tools that accommodate multiple channels.
Business rules tied to applications, and informed by big data and datamining, can drive proactive interactions with or without an agent involved. . This is a big undertaking, which explains why only a small percent of organizations have deployed true omnichannel date.
New analytics tools also help businesses data-mine social media for signs of potential customer issues before phones start ringing. An immersive omnichannel experience includes all types of outreach and technology. Virtual queuing/Web callback. Traditionally, callers had to wait on hold to maintain their place in an ACD queue.
Social media depends heavily on real-time responses; omnichannel service requires companies to respond to a variety of media, such as chat, SMS, and video, in real time; and globalization has opened the door to worldwide resources and requires immediate responses for customers worldwide.
IoT and CRM: Better Together IoT is the connection of devices via the internet, while CRM is the collection of customer data through datamining with the purpose of providing useful insight into customer behavior for marketing and sales purposes. Since we know that CRM requires data, combining it with IoT is a perfect match.
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