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April 23, 2026
2 min readThe Customer Clusters page uses AI-powered segmentation to group your customers by spending behavior and purchase cadence. It answers three practical questions for payment ops and marketing teams: who are your customers, how do they behave, and where should you concentrate retention and acquisition effort. Because the clustering is refreshed as new transactions flow in, the segments reflect current behavior rather than a static snapshot.
Customer Segmentation Clusters
Corgi automatically identifies distinct customer segments based on two dimensions:
Average Order Value (x-axis): how much the customer spends per transaction.
Purchase Frequency (y-axis): how often the customer makes purchases, measured per month.
A scatter plot visualizes all customers, color-coded by their assigned cluster. This makes it easy to see the natural groupings in your customer base at a glance, and to spot outliers who may warrant individual attention.
Cluster Definitions
High-Value Customers
Premium customers with high spending and frequent purchases. These are your most valuable customers.
Characterized by above-average order values and high purchase frequency.
Strategy: prioritize retention, offer loyalty rewards, and ensure premium support.
Loyal Frequent Buyers
Regular customers with moderate spending but high engagement. They purchase often, even if individual order values are modest.
Strategy: encourage upselling and cross-selling to increase AOV.
Price-Conscious Buyers
Budget-focused customers who respond well to discounts and promotions. They tend to have lower order values and less frequent purchases.
Strategy: use targeted promotions and discount campaigns to drive repeat purchases.
New Explorers
Recent customers who are still evaluating your products. They have low frequency and moderate order values.
Strategy: focus on onboarding, first-purchase follow-ups, and welcome campaigns to convert them into repeat buyers.
Dormant Customers
Previously active customers who have not purchased recently. They represent potential win-back opportunities.
Strategy: launch re-engagement campaigns, win-back offers, or surveys to understand why they left.
Cluster Summary Cards
Each cluster is summarized in a card with four at-a-glance metrics:
Metric | What it shows |
|---|---|
Total Revenue | Aggregate revenue from all customers in the segment. |
Avg Order Value | Mean transaction amount for the segment. |
Customers | Number of customers in the segment. |
Frequency | Average purchases per month. |
Together these four numbers give you a quick read on both the size and the economic weight of each segment, so you can tell at a glance whether a cluster is a small group of heavy spenders or a large group of light spenders.
Segment Performance
A combined bar and line chart shows the number of customers and total revenue for each segment side by side. This helps you quickly compare which segments contribute the most revenue and which have the most customers. The gap between the two series is often the most revealing part: a segment with many customers but little revenue points to an upsell opportunity, while a segment with few customers but outsized revenue points to a retention priority.
Purchase Behavior by Segment
A chart comparing average purchases per month and average order value across segments. This makes it easy to see which segments buy more often vs. which spend more per order, and to decide whether a given segment is best influenced through frequency plays (subscriptions, reminders, replenishment nudges) or basket-size plays (bundles, cross-sells, tier thresholds).
