Customer Analytics


Extract customer patterns from data and make informed
marketing decisions.

Identify - Attract - Retain

Customer analytics is the process of examining your customer information and customer behavior to identify, attract, and retain your most profitable customers.

The more you understand customers’ buying behavior and lifestyle, the more accurately you can classify customers and make predictions that are targeted and meaningful for every customer. Targeting customers with the right product, the right price, and at the right time improves the customer experience and retention.

Customer Lifetime Value

Monitoring your customer lifetime value (CLV) enables you to know how much you can expect to make from customers, target high-value vs low-value customers, and spend the right amount to attract new customers.

Customer Segmentation

Customer segmentation divides your customer base into groups that are similar in specific ways, such as demographic and psychographic.  Segmenting customers allows you to identify group behavior and preferences. Use the understanding of your customers to improve marketing messages, optimize pricing, and increase customer retention.

Market Basket Analysis

Market Basket Analysis (MBA) is used to understand the purchase patterns of shoppers. This analysis uncovers associations between products or product groups.

MBA is used to find cross-selling opportunities in associated product categories, and up-selling opportunities within categories.

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