{"id":347439,"date":"2026-06-18T13:10:56","date_gmt":"2026-06-18T13:10:56","guid":{"rendered":"https:\/\/integralads.com\/?p=347439"},"modified":"2026-06-18T13:14:18","modified_gmt":"2026-06-18T13:14:18","slug":"i-first-party-data-sono-appena-diventati-molto-piu-intelligenti-ias-e-databricks-customerlake","status":"publish","type":"post","link":"https:\/\/integralads.com\/it\/insider\/i-first-party-data-sono-appena-diventati-molto-piu-intelligenti-ias-e-databricks-customerlake\/","title":{"rendered":"I First-Party Data sono appena diventati molto pi\u00f9 intelligenti: IAS e Databricks CustomerLake"},"content":{"rendered":"\t\t
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Supera i colli di bottiglia tecnici e trasforma i dati statici dei clienti in audience dinamiche e ad alta conversione, alla velocit\u00e0 dell'AI.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Da anni, la promessa dei first-party data ha superato la realt\u00e0. I brand hanno investito pesantemente in piattaforme di CRM (Customer Relationship Management), CDP (Customer Data Platform) e data warehouse, solo per scoprire che i dati risiedono in un posto mentre l’intelligence necessaria per agire su di essi risiede altrove. Fino ad oggi, collegare i due elementi richiedeva un lavoro manuale lungo e team tecnici\u00a0 dedicati che la maggior parte dei marketer non poteva permettersi.<\/span><\/p>

Databricks CustomerLake<\/span><\/a> cambia l\u2019equazione. E IAS ne \u00e8 parte integrante.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Cosa risolve davvero l'Agentic CDP\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Databricks ha lanciato CustomerLake, un Agentic CDP costruito nativamente sulla piattaforma Databricks. I CDP tradizionali si trovano all’esterno delle piattaforme Data e AI dell’azienda, creando un silo separato da integrare, governare e riconciliare. L\u2019Agentic CDP introduce capacit\u00e0 core come l\u2019identity resolution, la segmentazione e l\u2019attivazione direttamente sulla data foundation ed \u00e8 progettato per permettere ai team marketing di lavorare insieme agli AI agent, sostituendo i workflow martech, manuali e spesso frammentati, con capacit\u00e0 di generare campagne in modo automatizzato.<\/span><\/p>

Non si tratta solo di una nuova feature; \u00e8 uno shift verso un modello in cui l’intelligence opera esattamente dove risiedono i tuoi customer data, i modelli e le logiche.<\/span><\/i><\/p>

I team marketing non dovranno pi\u00f9 aprire ticket per richieste tecniche come per la costruzione di audience specifiche o l’automazione delle logiche di campagna. I marketer ottengono accesso pi\u00f9 rapido a insight migliori mentre i data team vengono liberati per concentrarsi su progetti a maggiore valore. Soprattutto, l’intero sistema opera all’interno dei controlli di compliance e governance che ogni azienda ha posto in atto, senza creare nuovi silos o duplicare dati sensibili.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Come la partnership IAS rafforza i tuoi customer data\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Come launch partner di<\/span> CustomerLake<\/span><\/a>, IAS abilita due capacit\u00e0 ulteriori per aiutare i clienti a estrarre pi\u00f9 valore dai loro first-party data.<\/span><\/p>

  1. \u00a0 <\/span>Connette i first-party data ai segnali IAS. <\/b>I brand possono collegare i propri record ai segnali di analisi contestuale e Quality Attention di IAS attraverso connessioni clean-room durature, direttamente all’interno di CustomerLake. Sfruttando l’intelligence IAS, basata su oltre 300 miliardi di transazioni media giornaliere, i clienti possono sovrapporre segnali di media interaction e relativi al contenuto – come content affinity, viewability e brand safety – per arricchire i propri profili Customer 360. Questo pu\u00f2 tradursi in una segmentazione pi\u00f9 precisa e in un messaging pi\u00f9 rilevante, a supporto delle decisioni di investimento media.<\/span><\/li>
  2. \u00a0 <\/span>Potenzia le lookalike audience con la media quality intelligence di IAS. <\/b>I clienti possono potenziare le proprieaudience di prima parte con la media quality di IAS, inclusi i footprint contestuali e comportamentali dei cohort ad alto valore, per identificare nuove audience simili, con la possibilit\u00e0 di targettizzarle contestualmente, senza dipendere dai cookie di terza parte. I segmenti contestuali basati su un’analisi congiunta dei customer possono essere costruiti direttamente all’interno dell’ambiente CustomerLake e poi essere oggetto di un deployment da parte di IAS tramite le piattaforme DSP, per estendere le opportunit\u00e0 di targeting delle campagne.<\/span><\/li><\/ol>

    Insieme, queste capacit\u00e0 indicano ci\u00f2 che diventa possibile. Immagina di chiedere al tuo AI agent di \u201ctrovare nuovi clienti simili ai nostri buyer di maggior valore\u201d. L’agent pu\u00f2 ora costruire e deployare un tarageting contestuale basato su segnali di engagement reali, garantendo che i tuoi annunci appaiano negli ambienti giusti per guidare le conversioni in modo pi\u00f9 efficace, grazie alla potenza della media quality intelligence di IAS.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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    Perch\u00e9 il layer agentic \u00e8 determinante\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    La vera differenza la fa la velocit\u00e0. In un setup tradizionale, il matching dei segnali di terza partecon i propri dati \u00e8 un progetto lungo che richiede il coinvolgimento di pi\u00f9 team. Spesso, quando i dati sono pronti, la finestra della campagna si \u00e8 gi\u00e0 chiusa.<\/span><\/p>

    Con il workflow AI-powered di CustomerLake, i segnali di\u00a0 IAS confluiscono nei tuoi dati in modo continuo, aggiornandoli automaticamente. Quando avvii una campagna, lavori con gli insight pi\u00f9 recenti disponibili, non con uno snapshot di settimane prima.<\/span><\/p>

    Questo \u00e8 il vero punto di svolta: non solo dati migliori, ma dati migliori consegnati alla velocit\u00e0 richiesta dal modello agentic. Gli agent che prendono decisioni su audience selection, campaign optimization e next-best action hanno bisogno di segnali affidabili e aggiornati su cui lavorare. Insieme, CustomerLake fornisce la foundation dell’Agentic CDP e IAS fornisce media quality e segnali contestuali, per aiutare i team marketing a guidare performance maggiori su scala enterprise.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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    Guardando avanti: un nuovo standard per l'ad tech\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    L’industria sta raggiungendo un punto di svolta in cui transparency e intelligence vengono costruite direttamente all\u2019interno dell’infrastruttura dati. Rendendo i segnali di IAS disponibili all’interno di Databricks CustomerLake, garantiamo che la media quality informi, letteralmente, le tue decisioni prima e in modo pi\u00f9 efficace che mai.<\/span><\/p>

    Per i brand che vogliono ottenere di pi\u00f9 dai propri dati di prima parte, la combinazione di CustomerLake e IAS offre un percorso verso una comprensione delle audience pi\u00f9 ricca, senza aggiungere complessit\u00e0 a uno stack martech gi\u00e0 affollato.<\/span><\/p>

    Per saperne di pi\u00f9 su come IAS e Databricks possono potenziare la tua audience strategy, contattaci.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    Supera i colli di bottiglia tecnici e trasforma i dati statici dei clienti in audience dinamiche e ad alta conversione, alla velocit\u00e0 dell’AI. Da anni, la promessa dei first-party data ha superato la realt\u00e0. I brand hanno investito pesantemente in…<\/p>\n","protected":false},"author":37,"featured_media":347314,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[517,554,569],"tags":[],"class_list":["post-347439","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-brand-safety-suitability-it","category-contextual-targeting-it","category-efficiency-optimization-it"],"acf":[],"yoast_head":"\nI First-Party Data sono appena diventati molto pi\u00f9 intelligenti: IAS e Databricks CustomerLake - Integral Ad Science<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/integralads.com\/it\/insider\/i-first-party-data-sono-appena-diventati-molto-piu-intelligenti-ias-e-databricks-customerlake\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"I First-Party Data sono appena diventati molto pi\u00f9 intelligenti: IAS e Databricks CustomerLake\" \/>\n<meta property=\"og:description\" content=\"Supera i colli di bottiglia tecnici e trasforma i dati statici dei clienti in audience dinamiche e ad alta conversione, alla velocit\u00e0 dell’AI. 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