{"id":1491,"date":"2024-08-05T19:16:20","date_gmt":"2024-08-05T19:16:20","guid":{"rendered":"https:\/\/es.notificationbutton.com\/help\/?post_type=docs&p=1491"},"modified":"2026-04-30T19:55:12","modified_gmt":"2026-04-30T19:55:12","slug":"precision-filtering-protocols","status":"publish","type":"docs","link":"https:\/\/icortex.ai\/help\/segmentar-publico\/precision-filtering-protocols\/","title":{"rendered":"Precision Filtering Protocols"},"content":{"rendered":"\n

The Profile Tagging Protocols are the intelligence engine of our iCortex Engineering Revenue Ecosystem<\/strong>; it is not just a reach metric, but the foundation for executing surgical-precision marketing by high-value niches. In this article, we will analyze how to segment your Profiles<\/strong> using the advanced tools offered by our interface, allowing you to structure hyper-specific Segments.<\/p>\n\n\n\n

Value Note:<\/strong> There is a technical distinction between total Profiles and email Contacts<\/strong>. The latter are high-quality leads that have granted explicit permission for direct Campaign Orchestration via email<\/strong>, complementing the immediacy of push notifications.<\/p>\n\n\n\n

Segmentation Methodologies<\/h2>\n\n\n\n

The platform infrastructure offers two Segmentation logics<\/strong> for modeling Segments: the “Add filter”<\/strong> function and the “Add condition”<\/strong> function.<\/p>\n\n\n\n

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When applying the “Add filter” (iCortex) option<\/strong>, a restrictive logic is established. The Segment is progressively narrowed<\/strong>, as it must meet all criteria to be impacted. This configuration is essential for niche campaigns, such as launches where the “Campaign Orchestration result” filter is used:<\/p>\n\n\n\n

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Conversely, when using the “Add condition” (iCortex) option<\/strong>, the logic becomes expansive, allowing the Segment to grow<\/strong> by adding different Profiles of interest into the same campaign:<\/p>\n\n\n\n

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Strategic Recommendation:<\/strong> Result optimization is achieved through the hybridization of both logics<\/strong>. This practice allows for defining specific Segment cores and scaling them subsequently, ensuring that the message impacts the largest possible volume of qualified Profiles.<\/p>\n\n\n\n

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Below, we review the most critical filtering variables for your strategy:<\/p>\n\n\n\n

Strategic Geolocation<\/h2>\n\n\n\n

The location filters<\/strong> (country, province, city) allow for contextualizing the offer according to the Profile’s geographic location. They are key tools for executing tactical logistical actions<\/strong>, such as specific delivery promotions or services limited to certain geographic areas.<\/p>\n\n\n\n

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Optimization:<\/strong> Cross-referencing location data with behavioral variables substantially increases message relevance and, consequently, the conversion rate.<\/p>\n\n\n\n

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Automatic Tagging Protocols<\/h2>\n\n\n\n

Tags act as dynamic interest markers<\/strong>. In addition to custom management, the iCortex Engineering Revenue Ecosystem generates automated Tagging Protocols<\/strong> based on browsing behavior. If a Profile interacts recurrently or abandons a purchase process with a specific item, the system automatically assigns that attribute to them.<\/p>\n\n\n\n

From the Segments<\/strong> section, it is possible to audit these assigned categories to deeply understand the audience’s consumption interests:<\/p>\n\n\n\n

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You will also be able to use this intelligent Segmentation for advanced filtering:<\/p>\n\n\n\n

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Capture Source Analysis<\/h2>\n\n\n\n

The “Subscription Page”<\/strong> variable allows identifying the exact context where the registration was generated, revealing the Profile’s initial purchase intent.<\/p>\n\n\n\n

Strategy:<\/strong> Synchronizing the source page with behavioral tagging allows for deploying highly effective retargeting campaigns. For example, by combining the subscription page of a specific category with its corresponding Tagging Protocol, you isolate Profiles with validated purchase intent.<\/p>\n\n\n\n

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Remarketing via Campaign Results<\/h2>\n\n\n\n

The “Campaign Orchestration result”<\/strong> filter enables advanced nurturing and Revenue Recovery<\/strong> capabilities. This tool allows for structuring Campaign Orchestration funnels based on previous interaction, facilitating the identification of Profiles with a high level of engagement<\/strong> to optimize sending frequency toward the most receptive Segments.<\/p>\n\n\n\n

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Technical Variables and Digital Demographics<\/h2>\n\n\n\n

Finally, it is possible to refine the impact using filters for device, browser, operating system, and Profile age<\/strong>. Analyzing these variables ensures that the Campaign Orchestration adapts perfectly to the customer’s technological environment.<\/p>\n\n\n\n

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Organizations are encouraged to evolve their Segmentation criteria<\/strong>, transforming mass communications into personalized experiences aligned with business objectives and operational efficiency.<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Analysis of iCortex filtering protocols for executing high-fidelity micro-segmentation. Details the combination of geographic variables, Tagging Protocols, and interaction results to optimize deliverability and maximize return on investment.<\/p>\n","protected":false},"author":7,"featured_media":1827,"parent":1031,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","doc_tag":[514,325,512,498,471,494,85],"doc_badge":[],"class_list":["post-1491","docs","type-docs","status-publish","has-post-thumbnail","hentry","doc_tag-filter","doc_tag-filters","doc_tag-icortex-engineering-revenue-ecosystem","doc_tag-icortex-hyper-segmentation","doc_tag-profiles","doc_tag-segment","doc_tag-target"],"acf":[],"_links":{"self":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/1491","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs"}],"about":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/types\/docs"}],"author":[{"embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/comments?post=1491"}],"version-history":[{"count":28,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/1491\/revisions"}],"predecessor-version":[{"id":5008,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/1491\/revisions\/5008"}],"up":[{"embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/docs\/1031"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/media\/1827"}],"wp:attachment":[{"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/media?parent=1491"}],"wp:term":[{"taxonomy":"doc_tag","embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/doc_tag?post=1491"},{"taxonomy":"doc_badge","embeddable":true,"href":"https:\/\/icortex.ai\/help\/wp-json\/wp\/v2\/doc_badge?post=1491"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}