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Segments Overview

What are multidimensional customer segments in BlueConic CDP and how does real-time customer segmentation in CDP work? BlueConic segments are dynamic groups of customer or visitor profiles characterized by a defined set of interests, preferences, demographic properties, and so forth. Based on how a customer behaves in your channels and the information you have gathered from them via listeners, online forms, links they have followed, what they have clicked, and so forth, you can classify customers, either by using a single filter or a sophisticated set of filters to create multidimensional, real-time customer segments.

With dynamic segments in BlueConic, you can engage with customers at the right moment using a meaningful and relevant dialogue.

Creating dynamic, multidimensional real-time customer segments

Customers and visitors in your online channels can belong to multiple segments, for example under 35 years old, interested in baseball, lives in Boston, referred to your online channel from a specific URL, read your December newsletter, and so forth.

How do I segment customers in BlueConic using real-time behavioral customer segmentation?

Segmentation is real-time and dynamic, which means BlueConic uses the latest updates of profile property values to determine if a customer falls in a specific segment. Because these segments are not static lists, they do not go out-of-date. Customers fall into and out of segments based on their current profile properties, interests, and engagement.

Multidimensional customer segments in BlueConic

BlueConic customer segments are multidimensional, too. You can filter on several attributes at once, for example, creating a multidimensional customer segment based on CLV (customer lifetime value), interests, age, demographics, and so on.

Behavioral segmentation with BlueConic

BlueConic offers six prebuilt behavioral customer segments that include profiles with targeted scores for recency, frequency of visits, intensity, and either low or high levels of momentum. The BlueConic behavioral customer segments are based on behavioral customer profile properties that BlueConic collects for you.

You can combine the prebuilt segments with additional filters to further refine your behavioral customer segmentation.

Targeting profiles by group properties

Building customer segments lets you filter through all profiles to reach a targeted set of customer profiles, defined by filters such as profile properties, group properties, and consent objectives. Using groups in BlueConic, you can build segments based on household, company, or account properties (or any type of BlueConic group that you define).

For example, you could build a segment that targets profiles of people who are employed by companies in the software industry in California, who have consented to be contacted via email marketing.

How do I build dynamic real-time customer segments in the BlueConic CDP?

Using date and time filters

If you add a "Date time" profile property as a condition for your segment, various filters display so you can find property values within a range of days, a range of hours, or before/after a certain time of day.

For instance, if you’re looking to determine which profiles last visited your site after February 1, 2024, you can add the “Last visited date” property as a condition and use the provided filters to specify that a profile only belongs to your segment if their last visit was after February 1.