According to the Nielsen Norman Group, web users have a very short attention span, often leaving web pages after 10-20 seconds of reading. These visitors usually only have time to read a quarter of the text on the pages they browse, making a company’s goal of producing clear and focused content even more important. If a user finds value in the pages they are browsing, they tend to stay much longer and are far more likely to convert as customers.
Insert Nestor, a way to simplify your online reading. Built for the high bounce rate web user, Nestor highlights the sentences that contain the highest amount of relevant information in text with the goal of getting to the point and eliminating the decision time someone needs to decide if they want to continue reading or move on to the next web page.
Nestor uses advanced Natural Language Processing and Machine Learning technologies to get these results which may benefit websites that contain important information that isn’t as clear to a web user when they arrive on the page.
Nestor is currently in beta and you can download their Chrome extension and/or ask for API access. They are encouraging users to give them feedback for all platforms their technology is used for so that they can improve their product and continue improving the web experience.