Consumer Insight<\/a> is analyzed data providing a better understanding of customer attitude and sentiment. This information is used to gain extensive knowledge of consumer desires, needs, and motivations. Consumer Insights help improve a brand\u2019s interaction with customers, which creates better customer experience and increases sales.<\/strong><\/p>\n\n\n\n Useful Consumer Insights should be:<\/p>\n\n\n\n Consumer Insight are aggregated from data collected with different tools, like trend analysis, customer satisfaction surveys, focus groups<\/a>, Social Listening, and more. <\/p>\n\n\n\n Market research and CX analysis is often evaluated by these 3 parameters:<\/p>\n\n\n\n In recent years, AI-powered research and analysis tools have been taking up more and more space in the world of CX analysis. According to Salesforce<\/a>, 51% of companies are using some form of AI, and another 25% look to integrate it into their businesses. <\/p>\n\n\n\n AI technology is used both to improve customer service and experience, and to facilitate better collection of information for analysis. And since 93% of market researchers describe AI as an industry opportunity<\/a>, no wonder AI insight analysis tools have become the future of CX and market research. <\/p>\n\n\n\n Moreover, using Artificial Intelligence enables a more personalized customer experiences. The insights provided by AI technology are used to tailor brand innovation<\/a> to customers\u2019 needs and requests. This customization process costs significantly less than traditional marketing campaigns, and often has a better effect on sales and earnings.<\/p>\n\n\n\n According to Forbes<\/a>, Customer experience can make or break a brand. Bad customer service or plain dissatisfaction with a product or service generates negative sentiment, that alienates potential buyers and hurts revenue. Well, the best way to insure that doesn’t happen is both monitoring and improving customer experience. And to do so as quickly and accurately as humanly possible. <\/p>\n\n\n\n But, what if you didn’t have to rely on a human? Unlike traditional market research, AI market research accounts for the entire customer journey, from the first click to the satisfaction surveys. All the information is scanned, collected and analyzed. The end result is an understanding of Customer Sentiment – valuable insights on customer satisfaction or critique of a product or service. <\/p>\n\n\n\n The AI generated information is used for customer experience customization and optimization, improving consumer satisfaction that results in a higher bottom line. <\/p>\n\n\n\n Artificial intelligence requires a large training set in order to make predictions and perform accurate analysis. Most AI solution for customer experience are limited to consumer packaged goods<\/a> (CPG) since it has the largest training set available.<\/p>\n\n\n\n Social Listening is a CX analysis tool used to obtain a deeper understanding of customer sentiment as manifested on social media, or Social Sentiment<\/a>. This sentiment analysis solution works in two stages. First, all social media activity is monitored and scanned to detect all comments, posts and tweets mentioning a certain brand. This stage is called Social Monitoring. Later, the data is analyzed and classified as \u201cpositive,\u201d \u201cneutral,\u201d or \u201cnegative.\u201d <\/p>\n\n\n\n![\"ai](\"https:\/\/www.revuze.it\/wp-content\/uploads\/2020\/06\/ai-and-market-research-1-1024x496.png\")
<\/figure>\n\n\n\nWhy is AI used for consumer insights?<\/strong><\/h2>\n\n\n\n
1. How AI became the future of consumer and market research<\/strong><\/h2>\n\n\n\n
2. How AI market research improves customer experience<\/strong><\/h2>\n\n\n\n
3. How AI improves Social Listening<\/h2>\n\n\n\n