Campaigns Design, Execution and Performance Tracking Brand and Marketing AnalyticsSentiment Analysis and Market Pulse

Building Propensity Models for Client Life Cycle Management (Cross Sell/Up Sell, Acquire and Activation, Retention & Win Back) using Logistic Regression/Decision Trees/Machine Learning

• Developing statistical models using ARIMAX/ARIMA procedure in SAS for accurate forecasting of inbound load in Contact Centres.• Provide analytical update on upcoming events/special occasions to help business in Capacity Planning.• Maintaining Forecast Accuracy/Performance Tracking.

• Price and Promotion Modeling – The main objective of price-promo modeling is to analyze how volume sales of a particular product depends on price, price reductions, other promotion factors like feature and display, price thresholds and gaps, seasonality etc. • Marketing Mix Modeling – Market Mix Models are used to quantify the Sales Impact of various marketing activities and determine effectiveness and ROI for each marketing activity. These models basically help the Brand Managers identify the right mix of advertising media and make better business decisions in terms of allocating marketing spend and media planning.The above mentioned models were developed using Hierchial Linear Regression in SAS.

To provide clients with the most complete understanding of how consumers consume media goods and services. The aim is to help media companies better understand their viewers to convert them into consumer intelligence to better manage their brands, launch and grow product portfolios, optimize their media mix and establish meaningful customer relationships.