{"id":47694,"date":"2023-04-03T15:42:28","date_gmt":"2023-04-03T15:42:28","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/behavioral-segmentation"},"modified":"2026-10-01T13:35:42","modified_gmt":"2026-10-01T13:35:42","slug":"behavioral-segmentation","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/behavioral-segmentation","title":{"rendered":"Behavioral Segmentation"},"content":{"rendered":"<p><strong>Definition:<img decoding=\"async\" class=\"boxpad alignright wp-image-48013 size-full\" src=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2023\/04\/behavioral-segmentation.jpg\" alt=\"Behavioral segmentation\" width=\"300\" height=\"300\" srcset=\"https:\/\/www.arimetrics.com\/wp-content\/uploads\/2023\/04\/behavioral-segmentation.jpg 300w, https:\/\/www.arimetrics.com\/wp-content\/uploads\/2023\/04\/behavioral-segmentation-150x150.jpg 150w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/strong><\/p>\n<p><strong>Behavioral segmentation<\/strong> is a form of market segmentation that groups people or accounts according to actions observed during their relationship with a company, product, service, or digital channel. It may use purchases, usage frequency, campaign responses, browsing events, or stages in a commercial relationship.<\/p>\n<p>Unlike demographic or psychographic classification, it is based mainly on <strong>observed behavior<\/strong> within a defined context and period. These signals can describe patterns, but they do not by themselves reveal a person&#8217;s needs, motivations, or intentions. A segment therefore describes a contextual pattern or probability rather than a stable characteristic that can be assumed outside the measured environment or carried unchanged into every future interaction.<\/p>\n\n<h2>How it works<\/h2>\n<p>The process begins by defining a relevant behavior and a <strong>membership rule<\/strong>. A store may group people who purchased during the past 90 days; an application, those who used a feature three times; and a campaign, those who opened a message but did not complete the intended action.<\/p>\n<p>Data may come from transaction history, a CRM, an application, a support platform, or the measurement of <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/online-behavior\">online behavior<\/a>. <strong>Combining sources<\/strong> requires consistent identifiers, periods, and definitions. Two systems may record a session, active customer, or conversion differently.<\/p>\n<p><a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/market-segmentation\">Market segmentation<\/a> creates groups that should be interpretable and usable. Behavioral segmentation adds a <strong>dynamic dimension<\/strong>: the same person may enter or leave a segment when behavior changes, a time window expires, or data is updated.<\/p>\n<h2>Segmentation criteria<\/h2>\n<p><strong>Criteria<\/strong> should correspond to available signals and a specific purpose. Common approaches include:<\/p>\n<ul>\n<li><strong>Recency:<\/strong> Time since the last purchase, visit, use, or relevant interaction.<\/li>\n<li><strong>Frequency:<\/strong> Number of purchases, sessions, uses, or responses within a defined period.<\/li>\n<li><strong>Value:<\/strong> Revenue, margin, volume, or accumulated value attributed to observed transactions.<\/li>\n<li><strong>Usage:<\/strong> Features used, intensity, regularity, device, or interaction channel.<\/li>\n<li><strong>Response:<\/strong> Reaction to messages, offers, trials, content, or customer support actions.<\/li>\n<\/ul>\n<p>A <strong>stage<\/strong> in the <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/customer-journey\">customer journey<\/a> can also be used when it derives from defined events such as registration, first purchase, renewal, or abandonment. Attitude, personality, and lifestyle belong to psychographic segmentation unless translated into observable behavior and presented as inferences.<\/p>\n<h2>Applications<\/h2>\n<p><strong>Behavioral segments<\/strong> help adapt decisions to different situations. They do not determine automatically which action will succeed, but they support more specific treatments and comparisons:<\/p>\n<ul>\n<li><strong>Acquisition:<\/strong> Distinguish new visitors, returning visitors, and people who started a conversion.<\/li>\n<li><strong>Activation:<\/strong> Detect which users completed the initial events needed to use a product.<\/li>\n<li><strong>Retention:<\/strong> Identify declining usage, inactivity periods, or upcoming renewals.<\/li>\n<li><strong>Personalization:<\/strong> Adapt content, messages, or offers to recent or accumulated behavior.<\/li>\n<li><strong>Exclusion:<\/strong> Avoid irrelevant contacts with people who already purchased, rejected a communication, or cannot receive it.<\/li>\n<\/ul>\n<p>A behavioral <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/audience\">audience<\/a> describes the <strong>selected group<\/strong>; <a href=\"https:\/\/www.arimetrics.com\/en\/digital-glossary\/behavioral-marketing\">behavioral marketing<\/a> uses those signals to choose actions. Segmentation is not the same as running a campaign and does not prove that a treatment causes sales, satisfaction, or loyalty.<\/p>\n<h2>Measurement and updates<\/h2>\n<p>Segment quality depends on <strong>event quality<\/strong>. Names, parameters, duplicates, identity, time zone, and cross-device coverage should be checked. A tagging error can assign users to the wrong group and distort its apparent size or performance.<\/p>\n<p>Each rule needs an <strong>observation period<\/strong> and update frequency. Recent behavior may lose relevance quickly, while a contractual purchase may remain relevant for months. Thresholds should be reviewed when the product, seasonality, or purchase cycle changes.<\/p>\n<p>Segment size, stability, overlap, and outcome differences help assess <strong>segment usefulness<\/strong>. A comparison between segments is descriptive. Attributing an effect to different messages or offers requires controlled tests or a design that separates treatment from other factors.<\/p>\n<h2>Privacy and limitations<\/h2>\n<p>When signals are associated with identified or identifiable people, segmentation may constitute <strong>data processing<\/strong> and, in some cases, profiling. Purpose, legal basis, information provided, retention, access controls, and mechanisms for exercising rights should be defined under the applicable rules.<\/p>\n<p><strong>Data minimization<\/strong> means using only what is necessary. Combining browsing, purchases, location, and external sources may increase detail, but it also raises the risk of identification, sensitive inferences, or uses that conflict with the context in which data was collected. The appropriate scope depends on the purpose.<\/p>\n<p>Segments are <strong>simplified models<\/strong>, not permanent identities. They may exclude unrecorded behavior, combine several people under one device, or reproduce bias in the data. Interpretation requires context, periodic review, and clear limits for automated decisions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Definition: Behavioral segmentation is a form of market segmentation that groups people or accounts according to actions observed during their relationship with a company, product, service, or digital channel. It may use purchases, usage frequency, campaign responses, browsing events, or stages in a commercial relationship. Unlike demographic or psychographic classification, it is based mainly on [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":0,"template":"","encyclopedia-tag":[1236,1409,1306],"class_list":["post-47694","encyclopedia","type-encyclopedia","status-publish","hentry","encyclopedia-tag-advertising-targeting","encyclopedia-tag-audience-behavior","encyclopedia-tag-customer-segmentation"],"_links":{"self":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia\/47694","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia"}],"about":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/types\/encyclopedia"}],"author":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/users\/28"}],"wp:attachment":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media?parent=47694"}],"wp:term":[{"taxonomy":"encyclopedia-tag","embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia-tag?post=47694"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}