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80 percent of the data processed by brands on a daily basis is either unstructured or semi-structured. Admittedly, the hospitality industry has a bit of catching up to do.
A CX strategy that incorporates text analytics lets companies recognize previously unknown data-gathering opportunities and transform their guests’ comments and insights into loyalty-building experiences with their brand.
Interested in AI-powered text analytics for feedback interpretation?See Keatext
Unstructured data appears chaotic at first glance, but with new forms of AI data analysis it can be tamed to help solve business problems, make organizational changes or tweak a service or product.
We dive into what unstructured data comprises and why AI machine learning and deep learning is the answer to unravelling your customer feedback into useful data.
An actively disengaged employee costs their organization $3,400 for every $10,000 of salary, or 34 percent. That means that a disgruntled or “checked out” person on staff making $60,000 a year costs their company $20,400 for that same year.
Disengagement costs far more than the cost of acquiring a new customer—due to the added damage done by negative reviews. Dissatisfied customers are at least three times more likely to spread negative messages.
Based on data-oriented results from focus groups and an online survey of tourists, a new study shows the extended value of customer equity when it comes to maximizing profits from marketing investment.
In 2015, BRP faced a new challenge in understanding their customers’ wants and needs. They had a wealth of meaningful unstructured feedback data but no clear way of turning it into insight. That’s when they sought help from Keatext.
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