Customer and Marketing Analytics

Customer and Marketing Analytics

Understanding consumers is the key to long term engagement, loyalty and profitability.  With the increase in the number of channels that consumers can interact with, came an explosion of data available for deriving customer insights and effective marketing.  The integration of this multichannel data has become increasingly complex, leaving many marketers overwhelmed and unable to derive meaningful insights.

Backed by 800 experts in analytics, information management, business intelligence, and research, MindTree’s Data & Analytic Solutions practice excels at processing mass amounts of data in order to help our clients:

●     Gain a complete 360 degree view of their consumers

●     Ensure that the right message goes to the right consumer at the right time through the right channel

●     Increase consumer loyalty and engagement

●     Understand public sentiment and buzz about their brand and compare to the competition

●     Find additional revenue streams through integration of existing data sources

We bring together the best from the worlds of data management, analytics and strategic consulting to ensure that our solutions provide the biggest business impact.

Our dedicated team help grow our clients’ analytical understanding of their customers through a multi-stage engagement model no matter what stage they are in terms of analytical maturity. We work with clients on creating proof of concepts to help set the stage in terms of basic data trends, KPI identification, data visualization, and dashboarding. As the strategic needs grow, we move into advanced analytics such as segmentation, modeling, and advanced data visualization. Our end goal is to create a strategic partnership with a dedicated Analytics Factory hosting our clients’ data and decision support processes as well as offering analytics on-demand.

Service Offerings

MindTree delivers analytics solutions across the customer lifecycle starting from customer acquisition to customer retention and engagement as depicted in the below diagram. We help in the areas of:

  • Customer Understanding: Exploratory Data Analysis, Profiling, Segmentation, Customer Lifetime Value
  • Predictive Modeling: Response, Conversion, Cross-Sell, Up-Sell, Attrition, Retention, Reactivation
  • Contact Strategy: Campaign Effectiveness, Promotional Effectiveness, Channel Attribution, Channel Migration, Media Mix Modeling, Price Sensitivity Analysis
  • Customer Engagement: Cross Channel Engagement Analysis, New Media Analysis, Sentiment Analysis, Market Basket Analysis, Next Logical Product Analysis

Value Drivers