Dynamic Segmentation
Dynamically segment users based on their interests, preferences, or browsing behavior on your website.
Target effectively different groups of users without the need for full personalization by using dynamic segmentation and dynamic content. This allows you to refine your marketing strategies and target users with content that is relevant to their specific interests.
Rule-based segments vs. dynamic segments
Divide customers into rule-based segments based on their actions or add a temporal component to use them as dynamic segments.
Use customer interests in segments
Use segments to distinguish the interests of your users into impulsive, temporary and permanent. This allows the store to show exactly matching recommendations, although temporarily products outside the regular interest are also considered.
Segmentation according to brand affinity
Special preferences of your users can be highlighted as soon as they enter the store. The teaser areas on the start page offer special potential, as they can be dynamically changed after each session.
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trbo helps companies of all types and sizes create exceptional customer experiences through personalization.
Discover more related features – matching your business needs
trbo offers a variety of features for your personalization journey.
With our product trbo Personalize we can provide you with the exact solution to achieve your website goals.
trbo Personalize
Create the perfect user experience with the right content at the right time
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AI Recommendations
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Content Personalization
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A/B/MV Testing
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Dynamic Segmentation
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The technical base
Dynamic Segmentation
In order to be able to use dynamic segments, there must be a cleanly structured tracking system in which data is collected, if necessary also an external data connection.
Machine learning, with the help of algorithms and data analytics, automatically detects patterns and preferences of your store’s users.
Enable data & analytics on consumer behavior:
- personalized recommendations
- targeted offers
- customized content
The click-in channel is an important data collection related to dynamic segments, as specific content and offers can be developed there.
Use A/B testing to test different versions of your website, content or offers. Find out which version performs best and gives users the best possible experience.
Personalized content and recommendations can be delivered independently of a specific online store or e-commerce platform to enable seamless and consistent personalization across different sales channels.
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Let's get personal
Start delivering memorable, 1:1 experiences that keep your customers coming back.
We’ll reach out personally to guide you through how trbo can take your website’s performance to the next level.
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FAQs
What is dynamic segmentation in trbo?
Dynamic segmentation in trbo is an automated audience-grouping capability that categorizes website visitors in real time based on their live browsing behavior, click patterns, location, device type, and shopping intent to deliver personalized experiences instantly.
What real-time behavioral data triggers dynamic segmentation in trbo?
Dynamic segmentation in trbo is triggered by real-time behavioral data, including page clickstream, scroll depth, product views, cart additions, search terms, geo-location, local weather, traffic source, category interest, and device type during an active session.
Does trbo dynamic segmentation require integration with an external CDP or CRM?
No, trbo dynamic segmentation operates independently without requiring an external Customer Data Platform (CDP) or CRM. While it can sync with CDPs, trbo evaluates live session signals natively on the page to create dynamic audience profiles immediately.
How does weather-based and location-based segmentation work in trbo?
Weather-based and location-based segmentation in trbo automatically identifies a visitor’s location and real-time local weather conditions upon landing. Marketers can instantly trigger relevant products (e.g., rain jackets during local rainfall) without manual setup.
What is the difference between static and dynamic customer segments?
Static segments group users using fixed historical data (e.g., past buyers) that remains unchanged during a visit. Dynamic segments, such as those built with trbo, update in real time based on live clicks, geo-location, local weather, traffic source, and session intent to trigger immediate personalized experiences.
What is customer segmentation in digital marketing?
Customer segmentation in digital marketing is the process of dividing website visitors into distinct groups based on shared behavioral, demographic, or contextual characteristics. Segmentation allows businesses to deliver targeted messages, relevant products, and tailored experiences to specific audience groups.
Why is dynamic segmentation essential for ecommerce websites?
Dynamic segmentation is essential for ecommerce because shoppers’ intent changes rapidly during a single visit. By adapting audience groups in real time as users view different categories, online stores can present relevant recommendations and offers at the exact moment of purchase intent.