It is the Customer’s Way – Or No Way!
Today’s customer is impatient. They want – and have the right to – get answers to their questions and concerns about a company’s products and services without being in the need to preform lengthy searches or to dig around. This holds true for pre-purchase questions as well as to post-purchase questions. We regularly see or read statistics that tell us that customers are not very forgiving in cases of poor customer service, but on the contrary are inclined to leave when encountering a single instance of poor service. If customers do not get the answers to their questions without difficulties they are moving on, no matter of the company or its size. This meanwhile has become a kind of public domain knowledge. The only way for a company to avoid customers leaving with the first bad experience is by building up and maintaining a good and credible history of helping a customer with solutions to address their needs (aka jobs-to-be-done) and by regularly providing good customer service. At all stations of the customer journey. An important part of this good service is being available to help the customers on their preferred channels, at the time of their choosing, and at their pace. Theirs, not the company’s! This includes that a customer initiating a conversation, or engaging in a conversation that is initiated by a company, may not respond in a while, or chooses to continue using another device, or both. On the other side a customer will not accept the company being unresponsive or losing information during handovers between different service agents. The conversation between a company and a customer...
Omnichannel – Myth, Reality or Utopia?
Omnichannel – is it a Myth, Reality or Utopia? Over the past 20 or so years the way products and services get sold and customer service as well as marketing get delivered changed dramatically. Gone are the times where a potential customer was addressed via a radio- or TV-spot or an ad printed in a newspaper, advertising mail in the mailbox … – well, it still happens, but the focus shifted dramatically. We started off from one single ‘channel’ – customer goes to the store and interacts with a person – and added an ever increasing number of additional ones, like the ones mentioned, plus many more. For retail businesses the store will not go away. Generally spoken, human interaction will stay important, probably increase in importance; human customer service will not vanish – but is likely to change … please hold this thought. In today’s omnichannel world we also have telephone, e-mail, web-delivered ads, mobile apps, branded and white-label communities, social media like Facebook, Instagram, Twitter, etc., knowledge bases in combination with self-service, chat, messenger applications like WhatsApp, FB Messenger, Snapchat, iMessage; chat supported by ‘machine intelligence’, exposed via so called chatbots, and what not. The list could virtually go on and on. This is all supported by and implemented on a platform that leverages integrated applications, which work on a joint, or at least consistent data model – with clean data – utilizing strong real-time analytics capabilities that powers both, customer segmentation and knowledge categorization for efficient search. And it delivers a great customer experience. In Real Life Uhhm, I am just awaking from my dream …...
Customer Experience – It is all in the Data. Really?
A while after my earlier discussion with Abinash Tripathy from Helpshift about the value for customer experience of bots in customer support he contacted me with some exciting news about what he and his team are doing now. Believe me, it is interesting – but read for yourself. Our conversation, of course, led on to another vivid discussion about things to come and things that in our opinions should come. The bottom line is that we live in a data driven, always on, real-time world, where prediction of events or the ability to suggest an action is becoming increasingly a differentiator … be it in a B2B- or a B2C world. Think of Rolls-Royce selling uptime of their engines, entire airplanes nearly continuously sending telemetry data “home”, or the massive amount of data that a Formula 1 car continually sends in order for the team to take proper real-time decisions. Any car already collects a lot of data – it just needs to get connected to allow for prediction of maintenance to prevent failures. Or think of entire power grids that are already instrumented in a way that allows the operator to predict a failure several days in advance, so that the affected element can get fixed before it fails. It is all in the data? The secret is in having the data. And in the algorithms, be they event- and rule based, or more sophisticated and using machine- or deep learning. Neither data nor algorithms alone are the goal. Because what is needed is actionable insight. Actionable insight emerges only if the right algorithms are applied to the...