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.
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 Because these segments are not static lists, they do not go out-of-date.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.
Learn more about customer segments in BlueConic
- Using Segments
- Building multidimensional customer segments with filters
- Behavioral segmentation
- Customer segments, insights, and dashboards
- On BlueConic blog: Behavioral Segmentation Examples and Insights