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Measuring use of chatbots with Google Analytics

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Recently, there's been a lot of fuss about chatbots. They're 'the new thing' and anyone cool does something with AI in a project. Platforms like API.ai (Google) and Wit.ai (Facebook) are helping the hype along quite a bit. Within a few clicks, anyone can have a chatbot at their disposal. But how well do these chatbots appeal to »

How to analyse chatbot data

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As 2017 might very well be the year for chatbots to go mainstream, now is a good time to discuss a way to analyse them. It turns out it’s easy to apply web-based customer journey analysis to a conversational interface. Let's begin. Limitations of standardised reporting Currently, chatbot insights that platforms offer are limited. Let’s take Facebook’s »

Optimizing a conversational medium

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If you’re on a site called The Marketing Technologist, chances are that you’ve ‘talked’ to a device or AI before. All the big tech players have some form of assistant; Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana and Google’s Home are all available already, and this year Samsung is set to launch Bixby, and even »

Api.ai vs Wit.ai (or is it Google vs Facebook?)

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Yesterday’s big news in the world of chatbots was Google acquiring Api.ai, a company which allows developers to integrate natural language processing and understanding into their applications. Think of it like talking to someone, but instead, that someone is now your phone, and it actually understands what you’re saying. Services like Api.ai and Wit.ai are »

Commercial Chatbots: What does the Consumer think?

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Within Greenhouse Group Labs, four students are currently exploring the world of chatbots. The aim is to reveal insights regarding businesses’ incentives to use chatbots and the effect of chatbot usage on customer satisfaction. Meanwhile, various chatbots will be developed and prototyped, most probably with wit.ai. What precisely is a chatbot? According to academics, a chatbot could be defined »