{"id":21233,"date":"2026-01-02T12:06:25","date_gmt":"2026-01-02T10:06:25","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=21233\/"},"modified":"2026-01-02T14:11:09","modified_gmt":"2026-01-02T12:11:09","slug":"analytics-news-december-2025","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-december-2025\/","title":{"rendered":"\u010co si na\u0161li analytici pod strom\u010dekom? AI v GA4 aj GSC, novinky v GTM aj BigQuery MCP"},"content":{"rendered":"

Analytics Advisor: Nov\u00e1 \u00e9ra AI asistencie v GA4<\/h2>\n

Google ofici\u00e1lne sp\u00fa\u0161\u0165a Analytics Advisor, konverza\u010dn\u00e9ho AI asistenta poh\u00e1\u0148an\u00e9ho modelmi Gemini, ktor\u00fd je priamo integrovan\u00fd do pou\u017e\u00edvate\u013esk\u00e9ho rozhrania Google Analytics 4<\/a>. Tento n\u00e1stroj je navrhnut\u00fd tak, aby analytikom a market\u00e9rom poskytoval okam\u017eit\u00fa pomoc prostredn\u00edctvom chatu. Cie\u013eom je zr\u00fdchli\u0165 pr\u00e1cu s d\u00e1tami a spr\u00edstupni\u0165 pokro\u010dil\u00e9 anal\u00fdzy aj menej technicky zdatn\u00fdm pou\u017e\u00edvate\u013eom bez nutnosti opusti\u0165 rozhranie GA4.<\/p>\n

\"\"<\/p>\n

Analytics Advisor dok\u00e1\u017ee zobrazova\u0165 nielen stru\u010dn\u00e9 preh\u013eady, ale vie generova\u0165 aj detailn\u00e9 vizualiz\u00e1cie a anal\u00fdzy d\u00e1t. Jeho pridan\u00e1 hodnota spo\u010d\u00edva v tom, \u017ee pom\u00e1ha u\u017e\u00edvate\u013eom pochopi\u0165 d\u00f4vody, pre\u010do nastali n\u00e1hle poklesy, alebo n\u00e1rasty n\u00e1v\u0161tevnosti, predaja a pod. T\u00fdm sa prirodzene dost\u00e1vame k druh\u00e9mu stup\u0148u analytickej vyspelosti<\/a>. Funguje tie\u017e aj ako „always-on“ sprievodca pre konfigur\u00e1ciu GA4 vlastn\u00edctva, \u010do v\u00e1m u\u0161etr\u00ed kopec \u010dasu potrebn\u00e9ho na \u0161tudovanie dokument\u00e1cie pri rie\u0161en\u00ed be\u017en\u00fdch implementa\u010dn\u00fdch ot\u00e1zok.<\/p>\n

Viac na: Google Support<\/a><\/p>\n

Google Search Console zav\u00e1dza AI pre anal\u00fdzu v\u00fdkonnosti<\/h2>\n

Pri AI e\u0161te chv\u00ed\u013eu zostaneme. Google Search Console<\/a> implementuje nov\u00e9 funkcie zalo\u017een\u00e9 na umelej inteligencii, ktor\u00fdch cie\u013eom je zefekt\u00edvni\u0165 pr\u00e1cu s reportom v\u00fdkonnosti. Tento krok reaguje na potrebu webmasterov a SEO<\/a> \u0161pecialistov r\u00fdchlej\u0161ie interpretova\u0165 ve\u013ek\u00e9 objemy d\u00e1t bez nutnosti manu\u00e1lneho filtrovania a exportovania tabuliek. AI n\u00e1stroj by mal pom\u00f4c\u0165 pri identifik\u00e1cii trendov a anom\u00e1li\u00ed priamo v rozhran\u00ed GSC.<\/p>\n

Podobne ako v pr\u00edpade Google Analytics, ov\u00e1 funkcionalita umo\u017en\u00ed aj pou\u017e\u00edvate\u013eom Google Search Console kl\u00e1s\u0165 ot\u00e1zky v prirodzenom jazyku. AI asistent premietne po\u017eiadavku u\u017e\u00edvate\u013ea do nastavenia filtrov v rozhran\u00ed. T\u00fdmto sp\u00f4sobom sa v\u00fdrazne skr\u00e1ti \u010das potrebn\u00fd na diagnostiku prepadov vo vyh\u013ead\u00e1van\u00ed alebo na identifik\u00e1ciu nov\u00fdch pr\u00edle\u017eitost\u00ed pre rast organickej n\u00e1v\u0161tevnosti.<\/p>\n

Viac na: Swipe Insight<\/a><\/p>\n

Nov\u00e9 \u0161abl\u00f3ny publ\u00edk pre ciele \u017eivotn\u00e9ho cyklu z\u00e1kazn\u00edka<\/h2>\n

Google Analytics 4 predstavil dve nov\u00e9 \u0161abl\u00f3ny pre navrhovan\u00e9 publik\u00e1<\/a>, ktor\u00e9 s\u00fa k\u013e\u00fa\u010dov\u00e9 pre optimaliz\u00e1ciu kampan\u00ed na z\u00e1klade hodnoty z\u00e1kazn\u00edka. Prvou je \u0161abl\u00f3na pre „High-Value Purchasers“, ktor\u00e1 definuje segment na z\u00e1klade po\u010dtu n\u00e1kupov alebo celkovej \u017eivotnej hodnoty z\u00e1kazn\u00edka (LTV)<\/a>. Pribudlo aj pole „LTV percentile“, v\u010faka ktor\u00e9mu m\u00f4\u017eu inzerenti presne izolova\u0165 horn\u00e9 percento najhodnotnej\u0161\u00edch pou\u017e\u00edvate\u013eov a efekt\u00edvnej\u0161ie na nich cieli\u0165.<\/p>\n

Druhou novinkou je \u0161abl\u00f3na pre „Disengaged Purchasers“, ktor\u00e1 segmentuje pou\u017e\u00edvate\u013eov pod\u013ea po\u010dtu dn\u00ed od posledn\u00e9ho n\u00e1kupu, \u010do je ide\u00e1lne pre reaktiva\u010dn\u00e9 kampane. Tieto publik\u00e1 s\u00fa plne kompatibiln\u00e9 s cie\u013emi \u017eivotn\u00e9ho cyklu z\u00e1kazn\u00edka (Customer Lifecycle Goals) v Google Ads. Umo\u017e\u0148uj\u00fa tak sofistikovanej\u0161ie strat\u00e9gie pre akviz\u00edciu nov\u00fdch hodnotn\u00fdch z\u00e1kazn\u00edkov alebo retenciu existuj\u00facich v r\u00e1mci re-engagement kampan\u00ed.<\/p>\n

Viac na: Google Support<\/a><\/p>\n

Nat\u00edvna podpora pre Client ID a Session ID v Google Tag Manageri<\/h2>\n

Google Tag Manager<\/a> (GTM) prin\u00e1\u0161a dlho o\u010dak\u00e1van\u00fa aktualiz\u00e1ciu v podobe troch nov\u00fdch vstavan\u00fdch premenn\u00fdch v kateg\u00f3rii Utilities: Client ID<\/a>, Session ID a Session Number. Doteraz museli analytici pre z\u00edskanie t\u00fdchto hodn\u00f4t vyu\u017e\u00edva\u0165 vlastn\u00e9 JavaScript<\/a> rie\u0161enia alebo \u010d\u00edta\u0165 cookies, \u010do komplikovalo implement\u00e1ciu. T\u00e1to aktualiz\u00e1cia poskytuje ofici\u00e1lnu a stabiln\u00fa met\u00f3du na z\u00edskavanie k\u013e\u00fa\u010dov\u00fdch identifik\u00e1torov priamo v GTM.<\/p>\n

Pre pokro\u010dilej\u0161ie konfigur\u00e1cie bola pridan\u00e1 aj nov\u00e1, pou\u017e\u00edvate\u013eom definovan\u00e1 premenn\u00e1 typu „Analytics Storage“. T\u00e1to premenn\u00e1 umo\u017e\u0148uje \u0161pecifikova\u0165 konkr\u00e9tne Measurement ID<\/a> a nastavi\u0165 vlastn\u00fd prefix pre cookies. To ocenia najm\u00e4 technick\u00ed analytici, ktor\u00ed spravuj\u00fa komplexn\u00e9 implement\u00e1cie s viacer\u00fdmi streamami alebo potrebuj\u00fa striktn\u00fa kontrolu nad ukladan\u00edm analytick\u00fdch cookies v prehliada\u010di.<\/p>\n

Viac na: Google Support<\/a><\/p>\n

BigQuery Model Context Protocol (MCP)<\/h2>\n

Google Cloud<\/a> predstavil podporu pre Model Context Protocol (MCP) v r\u00e1mci BigQuery<\/a>, \u010do otv\u00e1ra nov\u00e9 mo\u017enosti pre integr\u00e1ciu d\u00e1tov\u00e9ho skladu s AI agentmi. MCP sl\u00fa\u017ei ako \u0161tandardizovan\u00e9 rozhranie, ktor\u00e9 umo\u017e\u0148uje AI modelom bezpe\u010dne pristupova\u0165 k extern\u00fdm d\u00e1tov\u00fdm zdrojom a kontextu bez nutnosti zlo\u017eit\u00fdch vlastn\u00fdch integr\u00e1ci\u00ed.<\/p>\n

V praxi to znamen\u00e1, \u017ee v\u00fdvoj\u00e1ri a d\u00e1tov\u00ed in\u017einieri m\u00f4\u017eu vyu\u017ei\u0165 BigQuery MCP server na to, aby umo\u017enili AI asistentom priamo dopytova\u0165 d\u00e1ta ulo\u017een\u00e9 v BigQuery. T\u00fdm sa zjednodu\u0161uje proces z\u00edskavania insightov z ve\u013ek\u00fdch d\u00e1tov\u00fdch s\u00e1d pomocou prirodzen\u00e9ho jazyka, pri\u010dom sa zachov\u00e1va bezpe\u010dnos\u0165 a \u0161trukt\u00fara pr\u00edstupu k podnikov\u00fdm d\u00e1tam.<\/p>\n

Viac na: Google Support<\/a><\/p>\n

ChatGPT testuje reklamy vo vyh\u013ead\u00e1van\u00ed<\/h2>\n

OpenAI za\u010d\u00edna testova\u0165 zobrazovanie rekl\u00e1m v r\u00e1mci ChatGPT, konkr\u00e9tne vo v\u00fdsledkoch vyh\u013ead\u00e1vania pre pou\u017e\u00edvate\u013eov Androidu. Tento krok signalizuje posun od \u010dist\u00e9ho predplatn\u00e9ho modelu k hybridn\u00e9mu modelu, ktor\u00fd zah\u0155\u0148a aj reklamn\u00fd obsah. Pre digit\u00e1lnych market\u00e9rov to predstavuje potenci\u00e1lne nov\u00fd, vysoko relevantn\u00fd kan\u00e1l na oslovenie pou\u017e\u00edvate\u013eov v momente, ke\u010f akt\u00edvne h\u013eadaj\u00fa inform\u00e1cie o ur\u010ditom produkte \u010di slu\u017ebe.<\/p>\n

Reklamy by sa mali zobrazova\u0165 v kontexte konverz\u00e1cie, podobne ako pri tradi\u010dn\u00fdch vyh\u013ead\u00e1vac\u00edch kampaniach, ale prisp\u00f4soben\u00e9 form\u00e1tu AI chatu. Hoci je funkcia zatia\u013e v beta testovan\u00ed, nazna\u010duje bud\u00faci smer v\u00fdvoja „search ads“, kde sa hranica medzi klasick\u00fdm vyh\u013ead\u00e1van\u00edm a generat\u00edvnou AI stiera, \u010do bude vy\u017eadova\u0165 nov\u00e9 pr\u00edstupy k tvorbe reklamn\u00fdch textov a strat\u00e9gi\u00e1m k\u013e\u00fa\u010dov\u00fdch slov.<\/p>\n

Viac na: Swipe Insight<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Analytics Advisor: Nov\u00e1 \u00e9ra AI asistencie v GA4 Google ofici\u00e1lne sp\u00fa\u0161\u0165a Analytics Advisor, konverza\u010dn\u00e9ho AI asistenta poh\u00e1\u0148an\u00e9ho modelmi…<\/p>\n","protected":false},"author":70,"featured_media":20571,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[934,1070,773,602],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21233"}],"collection":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/users\/70"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=21233"}],"version-history":[{"count":6,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21233\/revisions"}],"predecessor-version":[{"id":21240,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21233\/revisions\/21240"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/20571"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=21233"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=21233"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=21233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}