{"id":18534,"date":"2022-02-22T13:47:06","date_gmt":"2022-02-22T13:47:06","guid":{"rendered":"https:\/\/www.innovationnewsnetwork.com\/?p=18534"},"modified":"2022-02-22T14:16:24","modified_gmt":"2022-02-22T14:16:24","slug":"how-to-improve-consumer-data-behaviour","status":"publish","type":"post","link":"https:\/\/www.innovationnewsnetwork.com\/how-to-improve-consumer-data-behaviour\/18534\/","title":{"rendered":"How to use consumer behaviour data to drive innovation"},"content":{"rendered":"
Regarding consumer data behaviour, a frequently asked question is – why do people not use the features innovators create? A 2019 Pendo report1<\/sup>\u00a0found that software companies invested up to $29.5 bn in features rarely or never used, and that 80% of features in the average software product are hardly ever used.<\/p>\n There are a number of reasons why feature adoption rates are so low. They may not be widely useful. They may not be easy to find. But they may also not be trusted, and that is the issue we will explore in this report.<\/p>\n In 2018, consumer organisation Which? published its policy paper \u2018Ctrl, Alt or Delete? The Future of Consumer Data\u2019<\/em>, a survey with more than 2,000 UK participants, created to allow adults to understand their attitudes to the way in which their data is used. The survey highlighted that people generally fall into four categories.<\/p>\nThe trust gap in consumer data behaviour<\/h3>\n