{"id":21306,"date":"2026-01-30T11:39:32","date_gmt":"2026-01-30T09:39:32","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=21306\/"},"modified":"2026-01-30T11:39:32","modified_gmt":"2026-01-30T09:39:32","slug":"analytics-news-januar-2026","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-januar-2026\/","title":{"rendered":"\u010eal\u0161\u00ed m\u00ed\u013eov\u00fd krok v analytike priniesol predik\u010dn\u00e9 anal\u00fdzy, server-side na p\u00e1r klikov aj trackovanie AI botov"},"content":{"rendered":"

GA4 prin\u00e1\u0161a n\u00e1stroje na spr\u00e1vu rozpo\u010dtov a vylep\u0161en\u00fa atrib\u00faciu<\/h2>\n

Google Analytics 4 zav\u00e1dza nov\u00e9 beta funkcie zameran\u00e9 na efekt\u00edvnej\u0161ie riadenie marketingov\u00fdch invest\u00edci\u00ed. Ide o n\u00e1stroje na spr\u00e1vu rozpo\u010dtov a pokro\u010dil\u00fd mana\u017ement konverzi\u00ed. Tieto n\u00e1stroje umo\u017e\u0148uj\u00fa analytikom a market\u00e9rom priamo v rozhran\u00ed GA4 sledova\u0165 \u010derpanie rozpo\u010dtov a modelova\u0165 bud\u00faci v\u00fdvoj v\u010faka predik\u010dn\u00fdm metrik\u00e1m. Cie\u013eom je zjednodu\u0161i\u0165 prepojenie medzi vynalo\u017een\u00fdmi n\u00e1kladmi a dosiahnut\u00fdmi v\u00fdsledkami, \u010do vedie k lep\u0161ej n\u00e1vratnosti invest\u00edci\u00ed<\/a> (ROI).<\/p>\n

\"\"<\/p>\n

V\u00fdznamnou aktualiz\u00e1ciou pre\u0161li aj atribu\u010dn\u00e9<\/a> reporty, ktor\u00e9 teraz poskytuj\u00fa detailnej\u0161\u00ed vh\u013ead do z\u00e1kazn\u00edckej cesty. Vylep\u0161en\u00e9 modely dok\u00e1\u017eu presnej\u0161ie priradi\u0165 z\u00e1sluhy jednotliv\u00fdm touchpointom, \u010d\u00edm eliminuj\u00fa dohady pri vyhodnocovan\u00ed marketingov\u00e9ho mixu. Marketingov\u00e9 t\u00edmy tak bud\u00fa ma\u0165 kvalitnej\u0161ie d\u00e1ta, aby sa vedeli lep\u0161ie rozhodn\u00fa\u0165, ko\u013eko zdrojov zainvestuj\u00fa do jednotliv\u00fdch kan\u00e1lov.<\/p>\n

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

Google Tag Gateway pre inzerentov: Zjednodu\u0161en\u00fd server-side deployment<\/h2>\n

Google predstavil beta verziu Google Tag Gateway, ktor\u00e1 vyu\u017e\u00edva infra\u0161trukt\u00faru Google Cloud Platform<\/a> (GCP). T\u00e1to novinka prin\u00e1\u0161a „one-click“ workflow integrovan\u00fd priamo do nastaven\u00ed Google Tag Manager<\/a> a Google tagu. Umo\u017e\u0148uje vyu\u017ei\u0165 glob\u00e1lny extern\u00fd Application Load Balancer na presmerovanie d\u00e1t cez va\u0161u first-party webov\u00fa infra\u0161trukt\u00faru predt\u00fdm, ne\u017e s\u00fa odoslan\u00e9 do Google.<\/p>\n

Toto rie\u0161enie je z\u00e1sadn\u00fdm krokom pre zlep\u0161enie kvality d\u00e1tov\u00fdch sign\u00e1lov a posilnenie first-party d\u00e1tovej strat\u00e9gie. T\u00fdm, \u017ee d\u00e1ta prech\u00e1dzaj\u00fa cez vlastn\u00fa dom\u00e9nu, sa zvy\u0161uje odolnos\u0165 vo\u010di blokovaniu tret\u00edch str\u00e1n a predl\u017euje sa \u017eivotnos\u0165 cookies. Pre technicky laden\u00fdch analytikov to znamen\u00e1 v\u00fdrazn\u00e9 zr\u00fdchlenie nasadenia server-side technol\u00f3gi\u00ed bez nutnosti zlo\u017eitej manu\u00e1lnej konfigur\u00e1cie serverov. Samozrejme, tak\u00fdto setup m\u00e1 svoje limity a neodpor\u00fa\u010dame ho vyu\u017e\u00edva\u0165 pre v\u0161etk\u00fdch klientov. Ak si nie ste ist\u00ed, \u010di je toto rie\u0161enie vhodn\u00e9 aj pre v\u00e1\u0161 web, nev\u00e1hajte n\u00e1s kontaktova\u0165.<\/p>\n

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

Nat\u00edvna podpora histogramov v Looker Studio<\/h2>\n

Looker Studio roz\u0161iruje svoje vizualiza\u010dn\u00e9 mo\u017enosti o ofici\u00e1lnu podporu histogramov. Tento typ grafu je k\u013e\u00fa\u010dov\u00fd pre analytikov, ktor\u00ed potrebuj\u00fa vizualizova\u0165 frekven\u010dn\u00e9 rozlo\u017eenie numerick\u00fdch d\u00e1t. V kontexte webovej analytiky to m\u00f4\u017eu by\u0165 metriky ako s\u00fa d\u013a\u017eka rel\u00e1cie<\/a>, hodnota objedn\u00e1vky (AOV) alebo po\u010det eventov na pou\u017e\u00edvate\u013ea.<\/p>\n

\"\"<\/p>\n

Histogramy umo\u017e\u0148uj\u00fa r\u00fdchlo identifikova\u0165 vzorce, od\u013eahl\u00e9 hodnoty (outliers) a zhluky v d\u00e1tach bez nutnosti exportova\u0165 dataset do in\u00fdch n\u00e1strojov, rie\u0161i\u0165 h\u013abkov\u00e9 anal\u00fdzy v BigQuery<\/a>, alebo vytv\u00e1ra\u0165 zlo\u017eit\u00e9 kalkuklovan\u00e9 metriky v Looker Studiu. T\u00e1to aktualiz\u00e1cia zefekt\u00edv\u0148uje pr\u00e1cu pri anal\u00fdze d\u00e1t priamo v dashboardoch a poskytuje okam\u017eit\u00fd preh\u013ead o distrib\u00facii metr\u00edk naprie\u010d sledovan\u00fdm obdob\u00edm. Tak \u010do? U\u017e viete, kde histagram vyu\u017eijete?<\/p>\n

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

Filtrovanie naprie\u010d r\u00f4znymi zdrojmi d\u00e1t v Looker Studio<\/h2>\n

Dlho o\u010dak\u00e1van\u00e1 funkcionalita v Looker Studio<\/a> je teraz realitou: ovl\u00e1dacie prvky m\u00f4\u017eu filtrova\u0165 d\u00e1ta naprie\u010d r\u00f4znymi zdrojmi s\u00fa\u010dasne. Doteraz bolo filtrovanie \u010dasto obmedzen\u00e9 na vizualiz\u00e1cie zdie\u013eaj\u00face rovnak\u00fd zdroj, \u010do komplikovalo tvorbu komplexn\u00fdch dashboardov kombinuj\u00facich d\u00e1ta z GA4<\/a>, Google Ads a BigQuery.<\/p>\n

T\u00e1to zmena umo\u017e\u0148uje vytv\u00e1ra\u0165 interakt\u00edvnej\u0161ie a konzistentnej\u0161ie reporty. Ak maj\u00fa datasety spolo\u010dn\u00fd identifik\u00e1tor (napr\u00edklad ID kampane, krajinu alebo d\u00e1tum), zmena filtra sa automaticky aplikuje na v\u0161etky relevantn\u00e9 grafy bez oh\u013eadu na ich zdrojov\u00fd konektor. Pre analytikov to znamen\u00e1 \u010distej\u0161iu architekt\u00faru reportov a menej pr\u00e1ce s data blendingom, ktor\u00fd, povedzme si rovno a ve\u013emi diplomaticky, funguje so zna\u010dn\u00fdmi v\u00fdhradami.<\/p>\n

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

Microsoft Clarity sleduje aktivitu AI botov<\/h2>\n

Microsoft Clarity<\/a> reaguje na n\u00e1rast automatizovanej n\u00e1v\u0161tevnosti spusten\u00edm beta funkcie AI Bot Activity. Tento n\u00e1stroj je navrhnut\u00fd na detekciu a sledovanie web crawlerov a AI agentov, ktor\u00ed skenuj\u00fa obsah webov pre tr\u00e9novanie LLM modelov (Large Language Models).<\/p>\n

\"\"<\/p>\n

Z poh\u013eadu digit\u00e1lnej analytiky je t\u00e1to funkcia kritick\u00e1 pre hygienu d\u00e1t. Umo\u017e\u0148uje oddeli\u0165 interakcie skuto\u010dn\u00fdch pou\u017e\u00edvate\u013eov od strojovej n\u00e1v\u0161tevnosti, \u010d\u00edm spres\u0148uje metriky o spr\u00e1van\u00ed z\u00e1kazn\u00edkov a konverzn\u00fdch pomeroch. Z\u00e1rove\u0148 poskytuje cenn\u00fd preh\u013ead o tom, ako intenz\u00edvne je v\u00e1\u0161 obsah vyu\u017e\u00edvan\u00fd a indexovan\u00fd r\u00f4znymi AI platformami. O d\u00f4vod navy\u0161e pre pou\u017e\u00edvanie Microsoft Clarity, \u010do poviete?<\/p>\n

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

GA4 prin\u00e1\u0161a n\u00e1stroje na spr\u00e1vu rozpo\u010dtov a vylep\u0161en\u00fa atrib\u00faciu Google Analytics 4 zav\u00e1dza nov\u00e9 beta funkcie zameran\u00e9 na…<\/p>\n","protected":false},"author":70,"featured_media":21242,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[835,798,858,890],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21306"}],"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=21306"}],"version-history":[{"count":3,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21306\/revisions"}],"predecessor-version":[{"id":21312,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21306\/revisions\/21312"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/21242"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=21306"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=21306"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=21306"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}