Deeper Customer Insights for Retail

The retail landscape continues to undergo rapid change, from the explosive growth of online and mobile retailing to rapid globalization. To succeed, retailers need to turn their data into actionable insights about their business and customers. The Aster Data analytic platform uniquely solves this problem by delivering deeper insights so you can target the right customers, with the right products and offers, at the right time, in a differentiated way.

Example Analytics

  • Web analytics – perform deep clickstream analysis to better understand how to turn website visitors into profitable customers
  • Personalization – analyze data from multiple channels to gain deeper understanding of how, when, and where to target customers with campaigns and offers
  • Recommendation engines – increase cross-sell and repeat purchases by identifying other products in which a customer or prospect is likely to be interested
  • Lifecycle marketing – analyze purchasing trends to determine likely future purchases and the best promotions to offer for future purchases.
  • Loyalty programs – analyze transaction data to identify your most profitable customers and design incentives to retain them
  • Forecasting – analyze historical data to build and refine predictive models for future demand and sales
  • Inventory management – ensure optimal stocking and ordering through deeper understanding of sales patterns.

Featured Customer

quoteNow that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. (MapReduce helps researchers) see trends more quickly than possible in systems only using massively parallel processing.quote
Marc Parrish, Vice President,
Retention & Loyalty Marketing

More Customers

The Best Insights Possible
Whitepaper: A Revolutionary Approach for Advanced Analytics and Big Data Management
Data Sheet: Aster Data and CadenceQuest - Leading Solution for Retail Customer Insights
Whitepaper: Deriving Deep Insights from Big Datasets
White Paper: Using Multi-Touch Attribution for Deeper Insight in the Customer Journey