Customer Segmentation & Profiling

Using advanced statistical techniques and the demographic, behavioral, attitudinal and transaction data available across the enterprise, we can identify distinct, homogenous segments. This can help:

• Discover unmet consumer needs and align offerings
• Direct marketing initiatives to specific segments making for cost-effectiveness
• Focus resources on high-potential/profitable segments

Customer Acquisition

Acquiring new customers is usually the starting point of a marketing strategy and very often, its most critical cost component. Our domain expertise and analytics capabilities including Response modeling and Propensity to Buy analysis work to better direct this effort:

• Helping to predict response to campaigns
• To target inititatives at precisely identified segments
• Helping to  lower acquisition costs and drive profitability.

Cross-selling & Upselling

Building ancillary revenue streams through targeted cross selling and upselling is smart marketing. Trawling the demographic, transactional and historical marketing data with techniques like Affinity Analysis, Market Basket Analysis and Response Modeling, we help you to:

• Determine which products to offer to whom and who is likely to be most receptive to these.
• Build customer loyalty
• Increase revenue per customer

Customer Satisfaction & Loyalty

In a world of multiple choices and touch points, meeting and exceeding customer expectations is critical to business success. Our techniques and solutions help in uncovering drivers of customer satisfaction with clear linkages to transaction behaviour and business outcomes. Addressing these help in:

• Preventing attrition
• Focused, enterprise-wide process improvement
• Driving positive word of mouth
• Increased revenues and profitablility

Retention Management

As acquiring new customers is much more expensive than retaining existing ones, marketers are increasingly focused on minimizing churn. Our analytics solutions help to identify potential defectors, to understand reasons for churn and  to predict when it is most likely to happen. This:

• Helps in driving retention and retrieval initiatives aimed at stemming attrition.
• Increased profitability