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Building successful social media campaigns

Advanced sentiment analysis application for social media campaign management

An application to manage digital marketing campaigns on various social media platforms from a single place and analyze their performance too.

Objective

A powerful analytics solution that evaluates the performance of social media campaigns on the basis of sentiment analysis, competitor analysis, ROI analysis, and more. These KPIs offer relevant and reliable insight that can be used to frame core business strategies.

Approach

Since the data to be analyzed was huge in volume, variety, variability, and velocity, we decided to make use of Big Data coupled with micro-service architecture as the core approach to creating a solution. Other technologies we used include Java, AngualrJS, NodeJS, REST web services, Redis Cache, MySQL and Hadoop Clusters.

Challenge

The main challenge of this project was about the collection of data from various social networking sites such as Facebook, Twitter, Instagram, Google Plus, LinkedIn, blogs, forums, and more and doing real-time sentiment analysis of the massive data for creating actionable insights.

Outcome

The platform we developed provided accurate statistics and real-time sentiment analysis, thus serving as a powerful tool to define a robust social media marketing strategy for the business. The results that came across were impressive.

  • Better understanding of customer behavior
  • Improvement in communication and marketing strategies
  • 100% increase in social following
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