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.
https://www.chiefmarketer.com/new-ai-tools-for-better-engagement/
As we enter the new year, it is natural to predict what new trends, technologies, and advancements will be at the forefront of industries in the months ahead. Customer experience is no different. In 2018, we saw the impact major brands faced when they broke the trust of their customers. From criticisms of lack of transparency, data breaches, or high profile poor treatment of passengers going viral on social channels, organizations recognize more than ever the importance of investing in earning and maintaining the trust of their customers. Earning that trust means demonstrating that you’re actually listening to customers, and for most organizations, that process starts with establishing a customer feedback program.
It’s not easy to win customer loyalty and trust, and it’s even harder for companies to regain trust when they have violated it. In 2019, I expect we will see companies develop a renewed focus on having ongoing and engaging conversations with customers. To foster these conversations, companies need to deliver a feedback experience that meets the customer in a natural way, is quick for the customer to complete, and makes the customer feel heard. Organization need to take action based on insights gained from these conversations to improve the customer experience.
https://www.destinationcrm.com/Articles/ReadArticle.aspx?ArticleID=129486/
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.
https://mopinion.com/machine-learning-technology-for-advanced-feedback-categorisation/
Mopinion is dedicated to providing its customers with the best possible feedback analytics software on the market. In order to maintain this status, our team strives to make constant and valuable improvements to our platform. We do this using the feedback provided directly by our customers. That being said, we’re happy to announce the release of the seven exciting new updates, including new machine learning technology, new feedback form metrics, and much more.
https://mopinion.com/november-product-update/
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.
https://www.itworldcanada.com/article/chatter-research-uses-ai-to-make-collecting-feedback-feel-less-weird-ingenious-winner/411314/
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.
https://www.clickz.com/using-ai-personalize-marketing-strategy/
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.
https://www.techradar.com/news/artificial-intelligence-gives-businesses-real-insights-into-their-customers/
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.
https://www.cio.com/article/3315656/artificial-intelligence/5-ways-ai-is-transforming-customer-experience.html/
The ability to collect massive amounts of data represented a huge leap forward in customer service and communication when customer relationship management first hit the market as a marketing, sales and data management tool.
However, CRMs weren't a holy grail. Data management is one thing. Using data to understand what customers really need (not just what you think they do) and how to engage them is another thing entirely.
CRMs were not built to be nimble. Times change, customer expectations change, and the technology needs to change with it.
Currently, predictive analytics and artificial intelligence promise the potential to revolutionize CRMs in truly meaningful ways, but rather than be hyperbolic about that potential, it's important to be pragmatic -- and that's not the same as being negative.
https://www.crmbuyer.com/story/The-Trouble-With-CRM-Data-85616.html/
Predicting the future is tough, so we decided to talk those who are shaping it. Dave Fish, founder of CuriosityCX and Michigan State University visiting lecturer partnered with Brian Keehner of the Michigan State master of science in marketing research program to interview more than a dozen of the sharpest technology minds from global enterprise feedback management firms to get their take on the future.
What are some of the big strategic bets the major players are making in the CX space? There was quite a bit of agreement, but also some noticeable divergence on the vision for the future. That spanned from data collection and ingestion, all the way to how to help clients take action. Here are the six key discussion points from our conversation.
http://customerthink.com/6-big-trends-driving-the-future-of-cx-technology/
