Retention & Retail Analytics

Turn Observations into Actions

Windsor Circle's Customer Retention and Predictive Marketing Platform helps retailers know, grow, and keep their customers. Our retail analytics suite arms retailers with the data and reports they need to make smart decisions. Turn observations into actions to keep your customers by enabling and implementing data-driven, lifecycle marketing campaigns to reach customers at every stage of the buyer lifecycle.

Ongoing Historical Analysis

Access 3 years of product, customer, and purchase history data, as well as ongoing data, to target key trends and customer retail analytics specific to your unique business.

Key Retail Metrics

Instantly know key retail metrics, such as average order value, customer lifetime value, latency, coupon use, number of orders and more, by any date range.

RFM Analysis

We automatically score your customers with RFM (Recency, Frequency, Monetary) Analysis to identify your best customers, churning customers, and more.

Retention Stats

Understand the difference between your key customer segments with retention stats, such as customer lifetime value, acquisition source, and shopping behavior.

Custom Segments

Create custom segments with unlimited conditions based on product, purchase, and customer data, as well as custom fields unique to your business. Access key metrics such as revenue, AOV, CLV, and number of orders for each customer segment.

Revenue Tracking

See how your automated, targeted campaigns stack up and understand how your email marketing efforts are affecting the bottom line with more than just open and click rates.

Determine Effective Acquisition Channels

Windsor Circle's software compiles data from Google Analytics on traffic source by product SKU. Using this data, we can show you a number of powerful insights about your customers by channel.


Assess Value From Repeat Buyers

It costs 5x more to acquire a new customer than to keep an existing one. Our clients have seen an increase in revenue from existing customers of 20% YoY (CLV & AOV) and an average retention rate lift of 17%.

Find Your Optimal Marketing Cycle

Automatically identify the average number of days between purchases and understand general buying behavior. Use these key retail analytics to create marketing campaigns to decrease the number of days between first and second purchases, second and third, and so on.

Analyze Retail Customer Segments

Windsor Circle’s data analysis reveals actionable intelligence about the segments that are most important to running your eCommerce business. Get insights into our standard customer segments or create custom segments based on product, purchase, and customer data, as well as custom fields that are unique to your business.

Analyze Coupon Usage and Revenue Over Time

Identify coupons with the longest residual use or the largest overall revenue impact.

Identify Your Top Products

Gain insights into your product catalogs and understand which products and categories are considered your top sellers by AOV, CLV, Revenue, % retained, and quantity purchased.

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Lifecycle Marketing Campaign Examples

Learn more about predictive lifecycle and retention marketing, as well as view examples of popular campaigns.

See Examples