Types of segmentation
In Lemnisk segmentation is divided into following categories.
If you are an existing Lemnisk user, you might be using our legacy segmentation. Please contact your customer success manager for more information.
1. Real-time segmentation
Real-time segmentation dynamically and continuously groups customers or leads into distinct audience segments based on their immediate, current-moment behaviours, interactions, and attributes.
Unlike traditional segmentation methods that process data in batches, real-time segmentation leverages event-driven data streams to update segment memberships instantaneously as new customer actions or information become available. This enables marketers to deliver highly personalised and contextually relevant experiences, communications, or offers at the precise moment of customer engagement or intent.
2. Past Behaviour Segmentation
Past behavioural segments are groups of customers or leads defined by their historical actions and interactions with a brand. This type of segmentation analyses retrospective data like purchase history, website visits, email engagement, and customer service interactions over a period of time. It helps marketers understand established patterns, preferences, and inferred intent (e.g., "high-value customers," "inactive users," "discount seekers") for broader campaign planning and long-term personalization, differentiating it from real-time segmentation which focuses on immediate actions.
3. Legacy segmentation (Need context)
This is the old segmentation method in Lemnisk which is used by many of the existing clients. This allows you to create general segments.
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