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Showing posts with the label Omnichannel

Mass Distraction - The Case for a Consolidated Marketing Platform

These days, customer experiences increasingly need to be delivered with the help of technology. This does not mean that direct interactions and people are no more important in marketing, sales, or service; on the contrary, but that an increasing number of customers is using the web, social media, chat, or an app to identify suitable products or services or to resolve an issue, when needed. The Customer Executive Board found that 57 per cent of the buying process is already completed before sales personnel get engaged. A Cisco retail study confirms the American Express findings and states that around 60 per cent of all in-store purchases start their journey electronically. The American Express Global Barometer claims that 60 per cent of all customers abandoned a purchase because of poor service experiences. Over the past 20 or so years the way products and services get sold and customer service as well as marketing get delivered to customers changed dramatically. Gone are the times...

Why the Phone is Dead - And How to Accommodate for It

As our (digital) lives circle more and more around mobility, and consequently the mobile phone, the questions around communication-, and in particular around service- and support channels become more interesting by the day. Facebook triggered what can be dubbed a little revolution when opening its messaging platform for chatbots in 2016; meanwhile even Skype offers chatbot support. It is safe to say that chatbots have been one of the main technology trends in 2016. Slack, originally released only mid of 2013, has become one of the main collaboration- and communications platforms. Artificial Intelligence and machine learning in various flavors and strengths have become part of many business applications throughout business’s value chains. And the combination of conversational user interfaces and AI/machine learning has the potential of changing the way people interact with businesses (and data, for what it is worth in this context). Facebook, Google, Amazon, Apple, Microsoft, to ...