Identify and Predict Consumer Behavior with Social Media Analytics Tools
Today enterprises have a tough time in making an impact upon the customers. This is because today’s customers buy products if and only if the products appeal to their preferences. There was a time in the past when enterprises had the last word, but today things are different. Thanks to social networking, customers today have the first and the last word on anything and everything let alone products. With people sharing their likes, dislikes preferences, opinions, perceptions, suggestions, and comments online, enterprises have to be careful when marketing their products. Hence, what enterprises need is social media analytics tools to identify, predict, and respond to consumer behavior. Here is a look at the benefits of a best of breed social analytics tool: * Analyze data in real-time from across social, mobile and web platforms to allow game developers and social commerce companies to continuously improve customer acquisition, engagement and social game monetization campaigns. * Modernize your ability to capture broad data, uncover meaningful insights, and close the loop with automated action – all in near real-time. * Track user behaviors in real-time and get immediate feedback on what is working vs. what isn’t so you can optimize on the fly. * Use visualization interface that helps you truly understand business performance to make faster, smarter operating decisions. * Real time data and actionable insights to help you reach faster, smarter operating decisions. * Provides results in seconds for businesses to track user behaviors in real-time and get immediate feedback on what’s working and what isn’t so you can optimize products, features, campaigns, and interactions on the fly. * The easy-to-use visualization interface provides both trending views and drill-down capabilities * Faster insights into the key influences on your K-Factor and virality campaigns, understand what keeps customers engaged, and uncover the levers that can most affect revenues. * Easy to get up and running. * Measure the effectiveness of acquisition campaigns and conduct funnel analysis on viral features and promotions * Monitor virtual currency monetization and trend metrics like ARPU, ARPPU, conversions, payment type, etc * Get actionable insights into their most-used app features and what drives monetization to make faster, smarter operating decisions. * Create user profiles to target and customize app content to the most-engaged (and most valuable) users, such as frequent visitors or frequent purchasers * Get deeper insights into the demographics of users with information provided through Facebook’s Social Graph API * Provides trending views and drill-down capabilities * Insights to make faster, smarter operating decisions across huge amounts of social data. * Acquisition to revenue. * Get faster insights into the key influences on your K-Factor and viral campaigns * Understand what keeps customers engaged, and uncover the levers that can most affect revenues.
Thus, good social media analytics tools help to modernize analytics by going beyond simple metrics and measurements, and thereby allowing enterprises to focus on a broad array of data and mine the vast treasure trove of social media to understand which events, content and user segments drive the most revenue.