{"id":304,"date":"2026-02-12T11:16:34","date_gmt":"2026-02-12T11:16:34","guid":{"rendered":"https:\/\/tecnetdati.com\/?page_id=304"},"modified":"2026-05-25T12:37:01","modified_gmt":"2026-05-25T12:37:01","slug":"digital-marketing","status":"publish","type":"page","link":"https:\/\/tecnetdati.com\/en\/digital-marketing\/","title":{"rendered":"Digital Marketing"},"content":{"rendered":"

Marketing in the GenAI era: from connection to intelligent dialogue <\/h1>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

In 2006, Yochai Benkler spoke of the network economy to describe the impact of social media on the economy and social relations. Today, that model has evolved in the era of <\/span>GenAI<\/strong><\/strong><\/strong>, where digital networks, data, and intelligent algorithms don't just connect people, but <\/span>generates personalised content, insights, and interactions. \n<\/strong>

\nDigital communication and marketing are thus undergoing a new transformation: social platforms, generative AI, and data-driven systems are bringing ecosystems to life. <\/span>Conversational<\/strong>, in which brands and customers interact in real time through dynamic content, virtual assistants and intelligent agents. Even with sustainable budgets, companies can gain a deep understanding of needs and behaviours, personalising messages and offers along the entire customer journey. \n

\nOrganisations that fail to grasp this evolution risk losing competitiveness, leaving room for those who strategically and professionally utilise digital channels. Today, social media are central assets of marketing plans, governed by rules, advanced metrics, and predictive models based on AI. \n<\/span><\/p>\n\n\n\n\n\n

Our Intervention<\/h2>\n\n\n\n\nProposte personalizzate B2B e B2C basate su dati, insight generati dall\u2019AI e conoscenza del contesto di mercato, per azioni mirate e scalabili.\n\n\nAffiancamento ai team marketing per integrare GenAI, analytics e automazione nei processi di comunicazione e nella definizione delle strategie.\n\n\nProgettazione di piani editoriali dinamici e multicanale, supportati da AI generativa per la creazione dei contenuti e da analytics avanzati per la misurazione delle performance.\n\n\n\n\nAnalisi delle iniziative digital esistenti con modelli predittivi e insight automatici, per migliorare engagement, conversioni e ROI.\n\n\nPercorsi formativi mirati sull\u2019uso professionale dei canali digitali, delle piattaforme social e degli strumenti di GenAI applicati a contenuti, campagne e customer interaction.\n\n\nRiduzione dei costi operativi, aumento dei contatti qualificati e relazioni pi\u00f9 profonde grazie a comunicazioni personalizzate, con monitoraggio costante del ritorno sull\u2019investimento.","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-304","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages\/304","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/comments?post=304"}],"version-history":[{"count":18,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages\/304\/revisions"}],"predecessor-version":[{"id":1334,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages\/304\/revisions\/1334"}],"wp:attachment":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/media?parent=304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}