Tags: ai*

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  1. Unless you’ve been living under a rock, you’ve probably noticed that the term ‘artificial intelligence’ is being thrown around just about everywhere. It has become a major corporate buzzword and hype, especially among digital marketers. Meanwhile half of us still don’t really know what it means or better yet, what it can do for our business. That’s why we’re here to tell you specifically what AI can do for you and how it can make your customer feedback more actionable.
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  2. The coming year promises to be an exciting one in the world of artificial intelligence.

    AI ToolsAI-driven technology is developing exponentially, enabling brands to get consumer feedback on a massive scale, without having to invest a great deal of time and money on the research. While it may be difficult for marketers to keep up with AI’s speedy evolution, it’s also vital. No brand wants to be left behind as competitors use technology to gain a deeper understanding of their stakeholders. It’s important for marketers to understand how to leverage new technology that uses AI to gather honest, meaningful, actionable consumer insights.
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  3. Mopinion has just released a new machine learning technology within its digital feedback analytics platform: automatic feedback categorisation. This technology employs machine learning techniques that make the analysis of qualitative feedback data – by way of labeling and categorisation – a much more fluid and systematic process.
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  4. Understanding consumer habits and how customers think and feel about your businesses can be key to success, but conducting paper or online surveys doesn’t always yield the best results, (and how often do people actually take the time to fill those out anyway); a Toronto-based company is attempting to solve this problem by updating the world of customer feedback with its interactive chatbot.

    Chatter Research says it can increase response rates by 800 per cent and gather more data about the customer experience using its artificial intelligence-powered chatbot. It’s being recognized by the Information Technology Association of Canada as the Spark winner at the 2018 Ingenious Awards.
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  5. By 2020, customer experience (CX) will overtake price as a key product differentiator. While there are many ways to improve CX – ease of use, innovation and speed are just a few – personalization has recently been found to be the #1 priority for organizations looking to improve their customer experience.
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  6. AI can help make customer experiences more personalized, accurate, and effortless. Through audience segmentation, customer communication, and product recommendations, AI is able to enhance marketing strategies at scale in a way humans can’t by themselves.

    In a world where customers are looking for smooth experiences and information at their fingertips, AI-enabled tools can make the difference in marketing.
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  7. It’s easy to see a world in which the predictive capabilities of artificial intelligence (AI) will direct who we have with children with, where we live and what our next job should be. All based on the algorithm’s ever-deepening knowledge of our habits, location, family circumstances and personality.

    In reality, few of us would want our lives ruled by a self-teaching algorithm. But for the majority of consumer businesses, AI (an umbrella term that includes natural language processing and machine learning) is a potentially transformative force, providing vital insights into what is happening and what is likely to happen. Advances in AI mean that what customers feel about a company or brand will drive significant change in business. These are fast-developing capabilities that no consumer-facing business can ignore if it wishes to maintain its competitive edge.
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  8. Cutting-edge companies are turning to artificial intelligence and machine learning to transform how they interact with customers, strengthening those relationships, distinguishing themselves from competitors, and increasing revenues.

    At the center of this transformation are technologies such as chatbots, recommendation engines, personalized communications, intelligent ad targeting, and image recognition. Gartner analyst John-David Lovelock predicts that AI-derived business value will more than triple to $3.9 trillion by 2022 — with improvements to the customer experience key to this growth.
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  9. Finding it hard to keep your brand in good shape? Is your current marketing regime failing to deliver the gains you anticipated? Perhaps a bit of AI is just what you need... It has long been considered that customer churn is a painful reality of doing business. That used to be true, but nowadays it can be avoided.

    A lot of brands out there are obsessed with measuring their performance by way of customer surveys. Quick question: do you suffer from ‘survey fatigue’? If your answer is ‘yes’, you can guarantee your consumers do too.

    It’s just plain lazy to ask the customer about their experience when the brand already has that information buried deep within its own systems – and frankly, a little insulting. Is the customer’s time somehow less valuable? Customer feedback definitely has a role to play, but it should be part of a bigger picture.
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  10. It will come as a surprise to no one that Google uses AI to keep its Search results free from spam and links pointing to dangerous websites. AI is a powerful tool, but it can be more effective when it’s used in combination with human input. With that in mind, Google is asking for your help to keep its search results clean.
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Mopinion: The Leading User Feedback Tool

Mopinion is a proud sponsor of Website Feedback News. The voice of the online customer is taking on an increasingly important role when it comes to improving websites and apps. So web analysts and digital marketeers are making more and more use of User Feedback Tools in order to collect feedback from the user. Mopinion takes it one step further and offers a solution to analyse and visualise user feedback results from your websites and apps wherever you need them. The real challenge for companies is not about capturing feedback, it is about how to make sense of the data.