{"id":18535,"date":"2022-05-31T13:22:02","date_gmt":"2022-05-31T11:22:02","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=18535\/"},"modified":"2022-05-31T13:22:02","modified_gmt":"2022-05-31T11:22:02","slug":"analytics-news-maj-2022","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-maj-2022\/","title":{"rendered":"M\u00e1jov\u00e9 novinky pre webov\u00fdch analytikov"},"content":{"rendered":"

Zobrazenie volite\u013en\u00fdch metr\u00edk u\u017e aj v kontingen\u010dn\u00fdch tabu\u013ek\u00e1ch<\/h2>\n

Google Data Studio pon\u00faka r\u00f4zne mo\u017enosti vizualiz\u00e1cie d\u00e1t. Pomocou funkcie nepovinn\u00e9 metriky<\/a> umo\u017en\u00edte pou\u017e\u00edvate\u013eom vybra\u0165 si metriky, ktor\u00e9 chc\u00fa, aby sa im zobrazovali v grafoch a tabu\u013ek\u00e1ch. Nemus\u00edte tabu\u013eku, alebo graf zaka\u017ed\u00fdm manu\u00e1lne upravova\u0165. Sta\u010d\u00ed ak v re\u017eime upravi\u0165 pr\u00eddate viacero metr\u00edk a n\u00e1sledne sa v re\u017eime zobrazenia rozhodnete, ktor\u00e9 metriky v\u00e1s zauj\u00edmaj\u00fa. Jednoduch\u00fdm kliknut\u00edm na checkbox m\u00f4\u017eete zobrazenie metr\u00edk upravova\u0165. Najnov\u0161ie je mo\u017ene vyu\u017e\u00edva\u0165 volite\u013en\u00e9 metriky aj v kontingen\u010dn\u00fdch tabu\u013ek\u00e1ch.<\/p>\n

Pre aktiv\u00e1ciu tejto funkcie postupujte nasledovne:<\/strong><\/p>\n

    \n
  1. \u00a0V danom reporte kliknite na upravi\u0165<\/li>\n
  2. Zvol\u0165e si po\u017eadovan\u00fd graf, alebo tabu\u013eku<\/li>\n
  3. N\u00e1sledne v pravom paneli v \u010dasti Metrika povo\u013ete Nepovinn\u00e9 metriky<\/li>\n
  4. Kliknut\u00edm na Prida\u0165 metriku si zo zoznamu vyberte po\u017eadovan\u00e9 metriky (tieto bude mo\u017en\u00e9 v re\u017eime zobrazenia dodato\u010dne aktivova\u0165, alebo deaktivova\u0165)<\/li>\n<\/ol>\n

    \"volite\u013en\u00e9<\/p>\n

    Pre v\u00fdber metriky postupujte nasledovne:<\/strong><\/p>\n

      \n
    1. Pre zobrazenie funkcie je potrebn\u00e9 by\u0165 v re\u017eime Zobrazi\u0165<\/li>\n
    2. N\u00e1sledne po prejden\u00ed kurzorom my\u0161i na ozuben\u00e9 kolie\u010dko a kliknut\u00ed sa zobraz\u00ed rozbalovacie menu s metrikami, ktor\u00e9 ste si zvolili v re\u017eime Upravi\u0165.<\/li>\n<\/ol>\n

      Pou\u017e\u00edvanie volite\u013en\u00fdch metr\u00edk m\u00e1 v\u0161ak svoje limity. Pri jednom grafe m\u00f4\u017eete pou\u017ei\u0165 maxim\u00e1lne 10 volite\u013en\u00fdch metr\u00edk. Volite\u013en\u00e9 metriky nie s\u00fa k dispoz\u00edcii pre bodov\u00e9 grafy a ani pre mapy Google.<\/p>\n

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

      Modelovanie konverzi\u00ed pre Consent Mode a Apple aplik\u00e1cie<\/h2>\n

      Google sa neust\u00e1le sna\u017e\u00ed poskytova\u0165 presn\u00e9 merania a pritom re\u0161pektova\u0165 s\u00fakromie svojich pou\u017e\u00edvate\u013eov a aj preto predstavuje nov\u00e9 typy modelovania konverzi\u00ed<\/a> pre Google Analytics 4<\/a>. Jedn\u00e1 sa o dva nov\u00e9 typy a to pre pou\u017e\u00edvate\u013eov vyu\u017e\u00edvaj\u00facich Consent Mode<\/a> a pre pou\u017e\u00edvate\u013eov Apple aplik\u00e1ci\u00ed s transparentnos\u0165ou sledovania aplik\u00e1ci\u00ed (ATT). Tieto nov\u00e9 typy modelovania pom\u00f4\u017eu vyplni\u0165 medzery tam, kde nie s\u00fa dostupn\u00e9 pozorovan\u00e9 \u00fadaje.<\/p>\n

      V pr\u00edpade Consent Mode niektor\u00e9 krajiny vy\u017eaduj\u00fa s\u00fahlas s pou\u017e\u00edvan\u00edm s\u00faborov cookie na reklamn\u00e9 aktivity. Udalosti zhroma\u017eden\u00e9 prostredn\u00edctvom pingov bez s\u00faborov cookie nebud\u00fa ma\u0165 atribu\u010dn\u00e9 \u00fadaje a na prip\u00edsanie t\u00fdchto konverzi\u00ed spr\u00e1vnemu kan\u00e1lu sa vyu\u017eije pr\u00e1ve modelovanie konverzi\u00ed. V pr\u00edpade ATT, ke\u010f na pripisovanie in\u0161tal\u00e1ci\u00ed nie je k dispoz\u00edcii IDFA, tak modelovanie konverzi\u00ed zabezpe\u010d\u00ed priradenie in\u0161tal\u00e1ci\u00ed spr\u00e1vnym kampaniam Google Ads alebo YouTube. Ak je vlastn\u00edctvo nevhodn\u00e9 na modelovanie, tak tieto konverzie zostan\u00fa v kan\u00e1li Direct.<\/p>\n

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

      Funnel API dostupn\u00fd v GA4<\/h2>\n

      Do rozhrania Google Analytics Data API<\/a> sa zav\u00e1dza nov\u00e1 met\u00f3da runFunnelReport. T\u00e1to met\u00f3da vr\u00e1ti prisp\u00f4soben\u00fd preh\u013ead lievika s \u00fadajmi o va\u0161ich udalostiach v Google Analytics. Prieskum lievika (Funnel Exploration) v\u00e1m umo\u017en\u00ed vo va\u0161om vlastnom syst\u00e9me vizualizova\u0165 v\u0161etky kroky, ktor\u00e9 va\u0161i pou\u017e\u00edvatelia vykon\u00e1vaj\u00fa na dokon\u010denie ur\u010ditej \u00falohy, a r\u00fdchlo zisti\u0165, do akej miery s\u00fa v danom kroku \u00faspe\u0161n\u00ed alebo ne\u00faspe\u0161n\u00ed.<\/p>\n

      T\u00e1to met\u00f3da je zaveden\u00e1 pri stabilite alfa so z\u00e1merom z\u00edska\u0165 sp\u00e4tn\u00fa v\u00e4zbu o syntaxi a schopnostiach pred vstupom do beta verzie.<\/p>\n

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

      Zobrazenie volite\u013en\u00fdch metr\u00edk u\u017e aj v kontingen\u010dn\u00fdch tabu\u013ek\u00e1ch Google Data Studio pon\u00faka r\u00f4zne mo\u017enosti vizualiz\u00e1cie d\u00e1t. Pomocou funkcie…<\/p>\n","protected":false},"author":70,"featured_media":18541,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/18535"}],"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=18535"}],"version-history":[{"count":5,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/18535\/revisions"}],"predecessor-version":[{"id":18538,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/18535\/revisions\/18538"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/18541"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=18535"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=18535"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=18535"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}