{"id":19334,"date":"2023-05-31T16:03:04","date_gmt":"2023-05-31T14:03:04","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=19334\/"},"modified":"2023-05-31T16:03:04","modified_gmt":"2023-05-31T14:03:04","slug":"analytics-news-maj-2023","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-maj-2023\/","title":{"rendered":"Dva mesiace pred koncom UA prich\u00e1dza Google s mno\u017estvom noviniek pre GA4"},"content":{"rendered":"<h2>Vyskladajte si vlastn\u00e9 funnel reporty v GA4<\/h2>\n<p>V Google Analytics 4 pribudla skvel\u00e1 funkcia &#8211; mo\u017enos\u0165 vyskladania si vlastn\u00e9ho <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/lievik-funnel\/\">funnelu<\/a> priamo v reportoch (doteraz bola t\u00e1to mo\u017enos\u0165 dostupn\u00e1 len v Exploration). Ak m\u00e1te \u0161pecifick\u00fa konverzn\u00fa cestu a chcete analyzova\u0165 tok u\u017e\u00edvate\u013eov t\u00fdmto funnelom, vytvorte si vlastn\u00fd report v sekcii Library. Majitelia e-shopov, ktor\u00ed maj\u00fa nasaden\u00fd enhanced ecommerce, maj\u00fa k dispoz\u00edcii predpripraven\u00fd funnel. Ten si viete prida\u0165 medzi \u0161tandardn\u00e9 reporty taktie\u017e v sekcii Library. Report je nazvan\u00fd ako User purchase journey a s\u00fa v \u0148om dostupn\u00e9 tieto kroky:<\/p>\n<ol>\n<li><strong>Za\u010diatok rel\u00e1cie<\/strong> (po\u010det u\u017e\u00edvate\u013eov, pri ktor\u00fdch bol odp\u00e1len\u00e1 udalos\u0165 session_start)<\/li>\n<li><strong>Zobrazenie produktu<\/strong> (po\u010det u\u017e\u00edvate\u013eov, pri ktor\u00fdch bol odp\u00e1len\u00e1 udalos\u0165 view_item)<\/li>\n<li><strong>Pridanie do ko\u0161\u00edka<\/strong> (po\u010det u\u017e\u00edvate\u013eov, pri ktor\u00fdch bol odp\u00e1len\u00e1 udalos\u0165 add_to_cart)<\/li>\n<li><strong>Za\u010diatok n\u00e1kupn\u00e9ho procesu<\/strong> (po\u010det u\u017e\u00edvate\u013eov, pri ktor\u00fdch bol odp\u00e1len\u00e1 udalos\u0165 begin_checkout)<\/li>\n<li><strong>N\u00e1kup<\/strong> (po\u010det u\u017e\u00edvate\u013eov, pri ktor\u00fdch bol odp\u00e1len\u00e1 udalos\u0165 purchase)<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-19336\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/user-purchase-journey-funnel.png\" alt=\"user purchase journey funnel\" width=\"1920\" height=\"1006\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/user-purchase-journey-funnel.png 1920w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/user-purchase-journey-funnel-300x157.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/user-purchase-journey-funnel-1024x537.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/user-purchase-journey-funnel-1536x805.png 1536w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/user-purchase-journey-funnel-600x314.png 600w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/><\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/support.google.com\/analytics\/answer\/13012015?sjid=2304484960751831214-EU\" target=\"_blank\" rel=\"noopener\">Google Support<\/a><\/p>\n<h2>Nov\u00e9 mo\u017enosti pri vytv\u00e1ran\u00ed publ\u00edk<\/h2>\n<p>Ve\u013ek\u00e9 zmeny nastali aj v n\u00e1stroji na vytv\u00e1ran\u00ed publ\u00edk, ktor\u00e9 by mali zabezpe\u010di\u0165 v\u00e4\u010d\u0161iu flexibilitu pri pr\u00e1ci s publikami. Jedn\u00e1 sa o tieto zmeny:<\/p>\n<ul>\n<li><strong>Dostupnos\u0165 nov\u00fdch dimenzi\u00ed a metr\u00edk v spr\u00e1vcovi publ\u00edk<\/strong> &#8211; s\u00fa to napr\u00edklad mnoh\u00e9 ecommerce dimenzie a metriky, ktor\u00e9 v Universal Analytics neboli a priniesol ich a\u017e Google Analytics 4. Chcete vytvori\u0165 publikum u\u017e\u00edvate\u013eov, ktor\u00ed si pridali do ko\u0161\u00edka 5 produktov z konkr\u00e9tnej Item Category 3? Odteraz \u017eiaden probl\u00e9m!<\/li>\n<li><strong>Rel\u00e1cie s n\u00edzkou mierou interakcie<\/strong> &#8211; v\u010faka tejto metrike m\u00f4\u017eete napr\u00edklad vytvori\u0165 publikum z pou\u017e\u00edvate\u013eov, ktor\u00ed urobili viac ako tri rel\u00e1cie s n\u00edzkou mierou interakcie za posledn\u00fd t\u00fd\u017ede\u0148. Ke\u010f ich identifikujete, m\u00f4\u017eete na nich zacieli\u0165 reklamu a povzbudi\u0165 ich, aby sa vr\u00e1tili.<\/li>\n<li><strong>Hodnota udalosti pou\u017eit\u00e1 bez definovania udalosti<\/strong> &#8211; t\u00e1to funkcia sa m\u00f4\u017ee hodi\u0165 ak m\u00e1te na webe viacero udalost\u00ed so zadefinovanou hodnotou a vy chcete vysklada\u0165 publikum len pre hodnotu vy\u0161\u0161iu ako x, kde v\u00e1s nezauj\u00edma prostredn\u00edctvom ktor\u00e9ho eventu bola hodnota zaznamenan\u00e1.<\/li>\n<li><strong>Kompletn\u00e1 sada logick\u00fdch oper\u00e1torov<\/strong> &#8211; doteraz ste v defin\u00edci\u00e1ch publ\u00edk mohli pou\u017e\u00edva\u0165 len oper\u00e1tory rovn\u00e1 sa (=), v\u00e4\u010d\u0161ie ako (&gt;) a men\u0161ie ako (&lt;). Vo ve\u013ea pr\u00edpadoch to mohlo by\u0165 obmedzuj\u00face. Odteraz m\u00e1te k dispoz\u00edcii aj v\u00e4\u010d\u0161ie alebo rovn\u00e9 (&gt;=), men\u0161ie alebo rovn\u00e9 (&lt;=) a nerovn\u00e1 sa (!=).<\/li>\n<li><strong>Rozsah d\u00e1tumov<\/strong> &#8211; pri vytv\u00e1ran\u00ed segmentov m\u00f4\u017eete pou\u017ei\u0165 aj d\u00e1tumov\u00fd rozsah a vyselektova\u0165 tak len u\u017e\u00edvate\u013eov, ktor\u00ed urobili po\u017eadovan\u00fa akciu v presne danom \u010dasovom okne.<\/li>\n<\/ul>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/support.google.com\/analytics\/answer\/9164320#051723\" target=\"_blank\" rel=\"noopener\">Google Support<\/a><\/p>\n<h2>Kr\u00edza je za\u017eehnan\u00e1: kv\u00f3ty v Looker Studiu sa zv\u00fd\u0161ili 10-n\u00e1sobne<\/h2>\n<p>Google ve\u013emi potichu nav\u00fd\u0161il nen\u00e1viden\u00e9 kv\u00f3ty v <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/google-data-studio\/\">Looker Studiu<\/a> na 10-n\u00e1sobok doteraj\u0161\u00edch hodn\u00f4t. V praxi to znamen\u00e1, \u017ee vy\u010derpa\u0165 kv\u00f3ty je pri be\u017enej pr\u00e1ci v Looker Studiu prakticky nemo\u017en\u00e9. Samozrejme, ak k rozsiahlym dashboardom pristupuje mnoho u\u017e\u00edvate\u013eov, na limity API m\u00f4\u017eete narazi\u0165 aj tak, ale riziko je ove\u013ea ni\u017e\u0161ie ako pred mesiacom.<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/developers.google.com\/analytics\/devguides\/reporting\/data\/v1\/quotas\" target=\"_blank\" rel=\"noopener\">Google Documentation<\/a><\/p>\n<h2>BigQuery sch\u00e9ma bola doplnen\u00e1 o nov\u00e9 dimenzie pre zdroj n\u00e1v\u0161tev<\/h2>\n<p>Ak pracujete s GA4 d\u00e1tami cez <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/bigquery\/\">BigQuery<\/a>, mo\u017eno ste si v\u0161imli v sch\u00e9me \u010di v tabu\u013ek\u00e1ch nov\u00e9 <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/dimenzia\/\">dimenzie<\/a> pre zdroje n\u00e1v\u0161tev. Moment\u00e1lne s\u00fa e\u0161te v\u0161etky hodnoty vyplnen\u00e9 hodnotou null, ale vyzer\u00e1 to na bl\u00ed\u017eiacu sa novinku v BigQuery, navy\u0161e ve\u013emi hodnotn\u00fa. Aktu\u00e1lne s\u00fa toti\u017e k dispoz\u00edcii len dimenzie hovoriace o akviz\u00edcii u\u017e\u00edvate\u013eov a inform\u00e1cie o zdrojoch n\u00e1v\u0161tevnosti v parametroch udalost\u00ed, s ktor\u00fdmi sa ale \u0165a\u017eko pracuje. Google o chystanej novinke do redak\u010dnej uz\u00e1vierky neinformoval, zatia\u013e sa inform\u00e1cie \u0161\u00edria len medzi u\u017e\u00edvate\u013emi na LinkedIn \u010di Twitter. Budeme to priebe\u017ene sledova\u0165 a o nasaden\u00ed tejto novinky sa ur\u010dite dozviete.<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/www.linkedin.com\/posts\/luka-cempre-9b5ba71a_googleanalytics4-activity-7060275837123629057-5zy7\/\" target=\"_blank\" rel=\"noopener\">LinkedIn Luka Cempre<\/a><\/p>\n<h2>Pr\u00ed\u010fte sa rozl\u00fa\u010di\u0165 s Universal Analytics \u0161t\u00fdlovo na na\u0161u Good-bye party! &#x1f973;<\/h2>\n<p>Koniec Universal Analytics sa u\u017e nezadr\u017eate\u013ene bl\u00ed\u017ei! Zap\u00ed\u0161te si do kalend\u00e1rov d\u00e1tum 30. j\u00fan &#8211; pr\u00e1ve vtedy sa s UA\u010dkom rozl\u00fa\u010dime vo ve\u013ekom \u0161t\u00fdle na na\u0161ej Good-bye party. Bu\u010fte pri tom! Na \u010do sa m\u00f4\u017eete te\u0161i\u0165? \u010cak\u00e1 v\u00e1s panelov\u00e1 diskusia s DASE\u00e1kmi o bud\u00facnosti webovej analytiky, analytick\u00fd kv\u00edz s hodnotn\u00fdmi cenami, kopec dobr\u00e9ho jedla a pitia. A samozrejme min\u00fata ticha pre Universal Analytics. \u010ces\u0165 jeho pamiatke.<\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/sk\/goodbye-universal-analytics-vecer\/\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-19351 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ua-good-bye-party.png\" alt=\"Universal Analytics Good-bye party\" width=\"1024\" height=\"614\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ua-good-bye-party.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ua-good-bye-party-300x180.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/ua-good-bye-party-600x360.png 600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<p>Poz\u00fdvame v\u00e1s aj na \u010fal\u0161ie zo s\u00e9rie <a href=\"https:\/\/www.dase-analytics.com\/sk\/celodenne-skolenie-google-analytics-4\/\">\u0161kolen\u00ed o Google Analytics 4<\/a>, ktor\u00e9 sa uskuto\u010dn\u00ed v piatok 23. j\u00fana u n\u00e1s v HubHube. Miesta sa r\u00fdchlo m\u00ed\u0148aj\u00fa, tak nev\u00e1hajte a zarezervujte si to svoje e\u0161te dnes!<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/www.dase-analytics.com\/sk\/goodbye-universal-analytics-vecer\/\">Universal Analytics Good-bye party<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Vyskladajte si vlastn\u00e9 funnel reporty v GA4 V Google Analytics 4 pribudla skvel\u00e1 funkcia &#8211; mo\u017enos\u0165 vyskladania si&#8230;<\/p>\n","protected":false},"author":70,"featured_media":19353,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[669],"tags":[673,798,818],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19334"}],"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=19334"}],"version-history":[{"count":9,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19334\/revisions"}],"predecessor-version":[{"id":19355,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19334\/revisions\/19355"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/19353"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=19334"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=19334"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=19334"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}