Social Network Profiling allows brands to explore the social universe of each of their customers, followers and prospects, by analysing the information they share across popular social media platforms such as Facebook, Twitter, LinkedIn, Instagram, Google+, among others. After obtaining users’ social data via Social Login, we apply real-time algorithms to analyse and quantify their passions, interests, favourite brands and products, places visited, level of social influence, and loyalty to specific brands, partners, or competitors. All this information is available in Xeerpa's Dashboard, an intuitive interface where you can: - Sort, segment and analyse the social profile of each user. - Complement your Customer Database, CRM platforms, DMPs, etc. with social data, obtaining a 360º customer intelligence. - Identify Top Influencers and Brand Ambassadors. - Analyse users that follow your competitors. - Create advanced segments of users based on their interests, places, and other social indicators. - Design a content recommendation and personalization strategy using social data. - Check user’s customer identity and consumer preferences report based on IBM Watson semantic analysis.

Social Network Profiling allows brands to explore the social universe of each of their customers, followers and prospects, by analysing the information they share across popular social media platforms such as Facebook, Twitter, LinkedIn, Instagram, Google+, among others. After obtaining users’ social data via Social Login, we apply real-time algorithms to analyse and quantify their passions, interests, favourite brands and products, places visited, level of social influence, and loyalty to specific brands, partners, or competitors. All this information is available in Xeerpa's Dashboard, an intuitive interface where you can: - Sort, segment and analyse the social profile of each user. - Complement your Customer Database, CRM platforms, DMPs, etc. with social data, obtaining a 360º customer intelligence. - Identify Top Influencers and Brand Ambassadors. - Analyse users that follow your competitors. - Create advanced segments of users based on their interests, places, and other social indicators. - Design a content recommendation and personalization strategy using social data. - Design tailored Social Media campaigns. - Check user’s customer identity and consumer preferences report based on IBM Watson semantic analysis.