{"id":21114,"date":"2025-09-30T18:08:08","date_gmt":"2025-09-30T16:08:08","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=21114\/"},"modified":"2025-09-30T18:08:08","modified_gmt":"2025-09-30T16:08:08","slug":"analytics-news-september-2025","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-september-2025\/","title":{"rendered":"Septembrov\u00e9 NEWS: Nahradia analytikov MCP servery?"},"content":{"rendered":"<h2>Nem\u00e1te prepojen\u00fd Google Ads s Analyticsom? Google Ads v\u00e1m to pripomenie<\/h2>\n<p>Pevne ver\u00edm, \u017ee \u010ditatelia tohto blogu maj\u00fa Analytics a Google Ads d\u00e1vno prepojen\u00e9, ale ak n\u00e1hodou nie, nov\u00e9 odpor\u00fa\u010danie v Google Ads v\u00e1m to pripomenie. Pod\u013ea \u0161t\u00fadie zaznamen\u00e1vaj\u00fa Google Ads \u00fa\u010dty s prepojen\u00fdm Google Analytics a\u017e o 23% viac <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/konverzia-conversion\/\">konverzi\u00ed<\/a>, pri\u010dom cena za konverziu je v priemere a\u017e o 10% ni\u017e\u0161ia. Prepoji\u0165 Google Ads s Analyticsom sa teda skuto\u010dne vyplat\u00ed.<\/p>\n<p data-start=\"432\" data-end=\"687\">T\u00e1to nov\u00e1 funkcia v\u00e1s nielen upozorn\u00ed, ale umo\u017e\u0148uje pou\u017e\u00edvate\u013eom r\u00fdchlo prepoji\u0165 svoj Google Analytics \u00fa\u010det s Google Ads priamo cez sekciu Recommendations v Google Ads konzole. Nastavenie prepojenia si vy\u017eaduje len jeden jedin\u00fd klik. Prepojenie oboch n\u00e1strojov v\u00e1m poskytne lep\u0161\u00ed preh\u013ead o v\u00fdkonnosti va\u0161ich kampan\u00ed, umo\u017en\u00ed v\u00e1m efekt\u00edvnej\u0161ie optimalizova\u0165 reklamu a zlep\u0161i\u0165 n\u00e1vratnos\u0165 invest\u00edci\u00ed.<\/p>\n<p style=\"text-align: right;\" data-start=\"432\" data-end=\"687\">Viac na: <a href=\"https:\/\/support.google.com\/analytics\/answer\/9164320#09242025\" target=\"_blank\" rel=\"noopener\">Google Support<\/a><\/p>\n<h2 data-start=\"432\" data-end=\"687\">Bud\u00facnos\u0165 webovej analytiky m\u00e1 meno MCP<\/h2>\n<article class=\"text-token-text-primary w-full focus:outline-none scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-6889da95-aec8-8326-9e87-753c1dfd6245-19\" data-testid=\"conversation-turn-42\" data-scroll-anchor=\"true\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:--spacing(4)] thread-sm:[--thread-content-margin:--spacing(6)] thread-lg:[--thread-content-margin:--spacing(16)] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] thread-sm:[--thread-content-max-width:40rem] thread-lg:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\">\n<div class=\"flex max-w-full flex-col grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"3d3c567d-7465-4ec8-a6f6-5febbe753871\" data-message-model-slug=\"gpt-4o-mini\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\">\n<div class=\"markdown prose dark:prose-invert w-full break-words light markdown-new-styling\">\n<p data-start=\"0\" data-end=\"638\" data-is-last-node=\"\" data-is-only-node=\"\">Predstavte si svet, kde sa svojho osobn\u00e9ho asistenta sp\u00fdtate na \u010doko\u013evek, \u010do v\u00e1s zauj\u00edma. Bez toho, aby ste museli rozumie\u0165 zlo\u017eit\u00fdm analytick\u00fdm n\u00e1strojom a aby ste ich v\u00f4bec otv\u00e1rali. V tomto svete sa budete m\u00f4c\u0165 doslova rozpr\u00e1va\u0165 s va\u0161imi d\u00e1tami. Nehovor\u00edm o \u010falekej bud\u00facnosti, hovor\u00edm o MCP (Model Context Protocol) serveroch, ktor\u00e9 s\u00fa tu u\u017e teraz.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<p data-start=\"139\" data-end=\"438\">Matt Landers\u00a0 vo svojom videu podrobne ukazuje, ako nastavi\u0165 nov\u00fd Analytics MCP server. Tento n\u00e1vod je ide\u00e1lny pre v\u00fdvoj\u00e1rov a d\u00e1tov\u00fdch analytikov, ktor\u00ed chc\u00fa integrova\u0165 generat\u00edvnu AI s Google Analytics a z\u00edska\u0165 insighty v prirodzenom jazyku priamo zo svojich d\u00e1t.<\/p>\n<p data-start=\"440\" data-end=\"706\">Pod\u013ea n\u00e1vodu sa nau\u010d\u00edte, ako pripoji\u0165 svoje \u00fadaje z Google Analytics priamo k vybran\u00e9mu jazykov\u00e9mu modelu (LLM), ako napr\u00edklad Gemini CLI. Tento n\u00e1vod v\u00e1s prevedie krok za krokom k v\u00e1\u0161mu prv\u00e9mu MCP serveru. Po jeho nastaven\u00ed budete m\u00f4c\u0165 priamo kl\u00e1s\u0165 ot\u00e1zky svojim d\u00e1tam v prirodzenom jazyku a okam\u017eite z\u00edskava\u0165 cenn\u00e9 inform\u00e1cie.<\/p>\n<p style=\"text-align: right;\" data-start=\"440\" data-end=\"706\">Viac na: <a href=\"https:\/\/www.youtube.com\/watch?v=nS8HLdwmVlY\" data-rel=\"lightbox-video-0\" target=\"_blank\" rel=\"noopener\">YouTube Google Analytics<\/a><\/p>\n<h2 data-start=\"440\" data-end=\"706\">Import n\u00e1kladov zo Snap Ads a Pinterest Ads do GA4<\/h2>\n<p data-start=\"106\" data-end=\"374\">Google Analytics odteraz umo\u017e\u0148uje automatick\u00fd import n\u00e1kladov zo Snap Ads a Pinterest Ads cez vstavan\u00fa integr\u00e1ciu. To znamen\u00e1, \u017ee inzerenti m\u00f4\u017eu priamo sledova\u0165 n\u00e1klady z t\u00fdchto platforiem v r\u00e1mci Google Analytics, bez potreby manu\u00e1lneho importu d\u00e1t.<\/p>\n<p data-start=\"376\" data-end=\"725\">Toto vylep\u0161enie je d\u00f4le\u017eit\u00e9, preto\u017ee umo\u017e\u0148uje lep\u0161ie centralizova\u0165 a analyzova\u0165 v\u00fdkonnos\u0165 kampan\u00ed naprie\u010d r\u00f4znymi platformami. Inzerenti tak m\u00f4\u017eu lep\u0161ie vyhodnocova\u0165 ROI (n\u00e1vratnos\u0165 invest\u00edci\u00ed) a optimalizova\u0165 kampane bez nutnosti prep\u00edna\u0165 medzi r\u00f4znymi n\u00e1strojmi. Tento automatizovan\u00fd import \u0161etr\u00ed \u010das a zni\u017euje riziko ch\u00fdb pri prenose d\u00e1t.<\/p>\n<p style=\"text-align: right;\" data-start=\"376\" data-end=\"725\">Viac na: <a href=\"https:\/\/support.google.com\/analytics\/answer\/9164320#09262025\" target=\"_blank\" rel=\"noopener\">Google Support<\/a><\/p>\n<h2>DATABASED: Customer Experience ako z\u00e1klad \u00faspe\u0161n\u00e9ho marketingu<\/h2>\n<p>V najnov\u0161ej epiz\u00f3de n\u00e1\u0161ho podcastu DATABASED sme sa rozpr\u00e1vali s Luk\u00e1\u0161om Frankom, \u0161pecialistom na customer journey a na experience marketing. Rozobrali sme, ako lep\u0161ie pochopi\u0165 svojich z\u00e1kazn\u00edkov, \u010do vlastne znamen\u00e1 dobr\u00fd z\u00e1kazn\u00edcky z\u00e1\u017eitok a ak\u00fa \u00falohu v celom procese zohr\u00e1vaj\u00fa d\u00e1ta. Dozviete sa, kde robia firmy \u010dasto chyby, no z\u00edskate aj p\u00e1r praktick\u00fdch tipov, ako u\u017e\u00edvate\u013esk\u00fa sk\u00fasenos\u0165 m\u00f4\u017eete vylep\u0161i\u0165.<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/open.spotify.com\/episode\/0ifJrwRb6lf1sDlJOQtt3e?si=029c314427b8495a\" target=\"_blank\" rel=\"noopener\">Spotify DATABASED<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nem\u00e1te prepojen\u00fd Google Ads s Analyticsom? Google Ads v\u00e1m to pripomenie Pevne ver\u00edm, \u017ee \u010ditatelia tohto blogu maj\u00fa&#8230;<\/p>\n","protected":false},"author":70,"featured_media":20568,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[620,798],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21114"}],"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=21114"}],"version-history":[{"count":6,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21114\/revisions"}],"predecessor-version":[{"id":21120,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/21114\/revisions\/21120"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/20568"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=21114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=21114"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=21114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}