Define Conditions
Create segments using behavioral, transactional, demographic, engagement, and predictive criteria.
Segmentation in ContactPigeon isn't a static filter. It's a living intelligence layer that continuously updates with customers behavior signals.
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ContactPigeon segmentation is built on top of a unified customer profile that brings together a variety of customer signals, from session browsing to predictions on churn risk, CLV, and more. Segments update automatically as customer behavior changes, so your targeting is always current, not based on yesterday's guess.
Create segments using behavioral, transactional, demographic, engagement, and predictive criteria.
Customers move in and out automatically based on their behavior.
Use segments directly inside campaigns, automations, on-site personalization, and real-time paid media syncs.
Go beyond basic filters with segmentation based on intent, value, and behavior across every retail touchpoint.
Target customers based on what they actually do, product views, categories browsed, cart actions, frequency, recency, and intent signals.
Segment by order history, AOV, lifetime value, discount sensitivity, and purchase cadence.
Group customers by where they are in their journey, new buyers, repeat purchasers, high-value customers, and those showing early churn signals.
Use built-in predictions like churn probability, expected spend, next purchase window, and RFM clusters to prioritize impact.
Layer rules to avoid over-messaging, suppress recent buyers, or protect margins with smart exclusions.
Real-time audience sync with Meta and Google Ads to power smarter, always-relevant paid targeting.
Instead of manually defining complex rules, marketers can activate ready-made RFM and predictive segments that continuously adapt as customer behavior evolves.
These predictive segments help teams quickly identify:
Use lifecycle stages, RFM clustering, and predictive signals to focus effort where it drives impact.
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Segments aren’t dead ends. They’re decision points. Each segment can trigger different timing, content, channel, and incentive logic, without duplicating flows.
Customers who view products or categories multiple times without adding items to their cart.
First-time buyers or newly identified subscribers entering your ecosystem.
Customers who have completed a purchase within a defined timeframe.
High-value shoppers identified through lifecycle stage or RFM clustering.
Customers who engage primarily during promotions or discounts.
Shoppers showing early signs of disengagement or elevated churn probability.
Customers grouped by lifecycle stage, intent, or predicted value.
Customers with strong intent or engagement signals but no purchase history yet.
Dynamic segmentation means customer audiences update automatically in real time as behavior, purchases, or lifecycle status changes. There's no need to refresh lists or rebuild segments manually.
You can segment customers using behavioral data (browsing, product views, cart activity), transactional data (orders, value, frequency), lifecycle stage, RFM scores, predictive signals, and profile attributes-all from a unified customer view.
RFM stands for Recency, Frequency, and Monetary value. ContactPigeon automatically clusters customers based on these factors to identify high-value, loyal, and at-risk groups-without manual scoring or rule setup.
Yes. Segments update continuously as customers browse, purchase, disengage, or return. Customers automatically move in or out of segments as conditions change.
Yes. You can apply exclusions to prevent over-messaging, suppress recent buyers, protect margins, or avoid overlapping audiences across campaigns.
Yes. A single segment can be activated across email, SMS, push notifications, on-site personalization, automation flows, and paid media audiences-without recreating it per channel.
Segments can be synced automatically and continuously to Meta and Google Ads. As customers enter or leave a segment, ad audiences update instantly-eliminating manual exports and outdated targeting.
No. Segments are created using a visual, no-code rule builder designed for marketers. For advanced users, ContactPigeon also offers a BI visualization builder powered by Google Looker, enabling teams to explore data, build custom models, and create advanced reports-without impacting day-to-day segmentation workflows.
Segmentation operates on first-party, consented data. ContactPigeon includes built-in GDPR compliance features such as consent tracking, data access controls, and right-to-be-forgotten support.
ContactPigeon segmentation is purpose-built for retail. It combines real-time behavior, lifecycle logic, RFM clustering, predictive insights, and direct activation across owned and paid channels-all in one connected layer.