{"id":17790,"date":"2021-08-04T10:17:24","date_gmt":"2021-08-04T08:17:24","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=17790\/"},"modified":"2021-08-04T10:17:24","modified_gmt":"2021-08-04T08:17:24","slug":"top-3-explore-reporty-v-ga4","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/top-3-explore-reporty-v-ga4\/","title":{"rendered":"Top 3 Explore reporty v Google Analytics 4"},"content":{"rendered":"<p><strong>Google Analytics 4 dostal cez leto v\u00fdrazn\u00fd facelift u\u017e\u00edvate\u013esk\u00e9ho rozhrania, ktor\u00e9ho s\u00fa\u010das\u0165ou bolo aj premenovanie sekcie Analysis hub na Explore (Prieskum)\u00a0 a analysis na explorations (prieskumy). V tomto \u010dl\u00e1nku sa spolo\u010dne pozrieme na na\u0161e najob\u013e\u00fabenej\u0161ie techniky zobrazenia d\u00e1t, ich nastavenie a uk\u00e1\u017eeme si aj pr\u00edklady ich konfigur\u00e1cie.<\/strong><\/p>\n<h2>Ako n\u00e1js\u0165 sekciu Explore?<\/h2>\n<p>Ak na v\u00e1s Google nezabudol a m\u00e1te update rozhrania za sebou, n\u00e1jdete Explore v paneli mo\u017enost\u00ed na \u013eavej strane rozhrania medzi \u0161tandardn\u00fdmi reportami a reklamnou sekciou. Pri vstupe v\u00e1s hne\u010f priv\u00edta mo\u017enos\u0165 za\u010da\u0165 nov\u00fd projekt z \u010dist\u00fdm podkladom alebo vyu\u017ei\u0165 jeden z prednastaven\u00fdch prieskumov. Ka\u017ed\u00e1 technika zobrazenia pon\u00faka in\u00fa mo\u017enos\u0165 zobrazenia so svojimi v\u00fdhodami.<\/p>\n<p><iframe loading=\"lazy\" title=\"Explore a Exploration v Google Analytics 4 | DASE Tutori\u00e1l\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/sKbZoL32Yv8?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.dase-analytics.com\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>Ke\u010f vytvor\u00edte nov\u00fd report uvid\u00edte tri d\u00f4le\u017eit\u00e9 \u010dasti rozhrania rozdelen\u00e9 na \u201ePl\u00e1tno\u201c, na zobrazenie d\u00e1t, premenn\u00e9 a nastavenia. Premenn\u00e9 s\u00fa umiestnen\u00e9 ako prv\u00fd st\u013apec z\u013eava a n\u00e1jdete tu v\u0161etko potrebn\u00e9 na vytvorenie reportu, teda \u010dasov\u00e9 rozp\u00e4tie, segmenty, dimenzie a metriky. Ka\u017ed\u00e1 \u010das\u0165 v st\u013apci m\u00e1 v rohu mal\u00e9 znamienko plus, ktor\u00fdm prid\u00e1vame premenn\u00e9 do n\u00e1\u0161ho v\u00fdberu, alebo kr\u00ed\u017eik na premennej pre odstr\u00e1nenie. Tak isto m\u00f4\u017eete cel\u00fd panel minimalizova\u0165 a zobrazi\u0165 cel\u00fd graf na obrazovke.<\/p>\n<p>Segmenty s\u00fa \u010dasti u\u017e\u00edvate\u013eov, ktor\u00fdch sp\u00e1ja ur\u010dit\u00e1 vlastnos\u0165, ako napr\u00edklad pou\u017eit\u00e9 zariadenie, krajina n\u00e1v\u0161tevy, alebo prezret\u00e9 str\u00e1nky. <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/dimenzia\/\" target=\"_blank\" rel=\"noopener noreferrer\">Dimenzie<\/a> s\u00fa zase vlastnosti \u00fadajov, ktor\u00e9 maj\u00fa vo v\u00e4\u010d\u0161ine pr\u00edpadov textov\u00fa podobu. Napr\u00edklad dimenzia udalosti m\u00f4\u017ee ma\u0165 r\u00f4zne hodnoty ako page_view, user_engagement, alebo scroll_depth. <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/metrika-metric\/\" target=\"_blank\" rel=\"noopener noreferrer\">Metrika<\/a> je meranie, alebo kvantitat\u00edvna vlastnos\u0165 dimenzie, ako napr\u00edklad po\u010det udalost\u00ed.<\/p>\n<p>Nastavenie ovl\u00e1da zobrazen\u00fd graf na pl\u00e1tne. Do jednotliv\u00fdch \u010dast\u00ed m\u00f4\u017eeme vybera\u0165 potiahnut\u00edm, alebo dvojklikom premenn\u00e9 a z\u00e1rove\u0148 pou\u017ei\u0165 filtr\u00e1ciu nad cel\u00fdm v\u00fdberom. Taktie\u017e sa daj\u00fa robi\u0165 aj men\u0161ie zmeny v zobrazen\u00ed buniek tabu\u013eky, po\u010dte riadkov, alebo v inej vlastnosti vizualiz\u00e1cie.<\/p>\n<h2>Analyzujte d\u00e1ta cez vo\u013en\u00fd form\u00e1t<\/h2>\n<h3>Vo\u013en\u00fd form\u00e1t\/ Free Form<\/h3>\n<p>Asi najpou\u017e\u00edvanej\u0161ou technikou zobrazenia je Free form (vo\u013en\u00fd form\u00e1t), ktor\u00fd jednoducho kombinuje segmenty, dimenzie a metriky do pivot tabu\u013eky, v ktorej sa daj\u00fa pou\u017e\u00edva\u0165 na rozdelenie \u00fadajov riadky, aj st\u013apce. Ve\u013ekou v\u00fdhodou je pou\u017eitie vlastn\u00fdch dimenzii a metr\u00edk vo vizualiz\u00e1cii.<\/p>\n<p>Taktie\u017e m\u00f4\u017eeme vyu\u017ei\u0165 aj \u010fal\u0161ie vizualiz\u00e1cie d\u00e1t ako kol\u00e1\u010dov\u00fd, \u010diarov\u00fd, alebo bodov\u00fd graf pr\u00edpadne aj geografick\u00fa mapu. Pri ka\u017edom type vizualiz\u00e1cie sa men\u00ed aj jej nastavenie, ale pou\u017eit\u00e1 dimenzia a metrika ost\u00e1va pribli\u017ene rovnak\u00e1. Pri zobrazen\u00ed hodn\u00f4t je navy\u0161e mo\u017enos\u0165 si vybra\u0165 aj zobrazenie riadku, \u010di po\u010det zobrazen\u00fdch dimenzi\u00ed v grafe.<\/p>\n<p><iframe loading=\"lazy\" title=\"Free form | DASE Tutori\u00e1l\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/HgNFOWIgFE0?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.dase-analytics.com\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<h2>Objavte ako vyzer\u00e1 cesta v\u00e1\u0161ho pou\u017e\u00edvate\u013ea<\/h2>\n<h3>Prieskumn\u00edk cesty\/ Path Exploration<\/h3>\n<p>T\u00e1to technika sa s\u00fastred\u00ed na prechod u\u017e\u00edvate\u013eov cez str\u00e1nku a udalosti. V\u010faka tomu m\u00f4\u017eete n\u00e1js\u0165 top nav\u0161t\u00edven\u00e9 str\u00e1nky po \u00favodnej n\u00e1v\u0161teve, alebo objavi\u0165 opakuj\u00face sa slu\u010dky udalost\u00ed, ktor\u00e9 ukazuj\u00fa na mo\u017en\u00fd probl\u00e9m. Ke\u010f\u017ee GA4 pou\u017e\u00edva d\u00e1tov\u00fd model zalo\u017een\u00fd na udalostiach, tak aj path exploration vie pop\u00edsa\u0165 jednotliv\u00e9 kroky ako udalos\u0165, alebo str\u00e1nku. Na pou\u017eitie je potrebn\u00e9 definova\u0165 za\u010diatok, alebo koniec cesty a potom len rozklikn\u00fa\u0165 ka\u017ed\u00fd \u010fal\u0161\u00ed krok. D\u00f4le\u017eit\u00e9 nastavenie je \u201eZobrazenie iba jedine\u010dn\u00fdch uzlov\u201c, ktor\u00e1 agreguje opakuj\u00face sa udalosti a str\u00e1nky do jedn\u00e9ho bodu.<\/p>\n<p><iframe loading=\"lazy\" title=\"Prieskumn\u00edk cesty \/ Path Exploration | DASE Tutori\u00e1l\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/2MeQaqMgAYs?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.dase-analytics.com\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>Pozor aby ste sa ale na ceste nestratili! Ak by ste n\u00e1hodou zabl\u00fadili m\u00f4\u017eete pou\u017ei\u0165 tla\u010didlo \u201eza\u010da\u0165 znova\u201c a\u00a0vybra\u0165 si za\u010diato\u010dn\u00fd alebo kone\u010dn\u00fd bod cesty, pr\u00edpadne pou\u017ei\u0165 pr\u00edkaz \u201esp\u00e4\u0165\u201c alebo \u201ev pred\u201c.<\/p>\n<h2>Presk\u00famajte kde je najviac konverzii<\/h2>\n<h3>Prieskum lievika\/ Funnel Exploration<\/h3>\n<p>\u010eal\u0161\u00edm skvel\u00fdm zobrazen\u00edm je aj funnel (lievik), ktor\u00fd ukazuje, ko\u013eko \u013eud\u00ed pre\u0161lo od jednej aktivity k druhej. Takto vid\u00edme nastaven\u00e9 kroky v kontexte celej n\u00e1v\u0161tevy a\u017e ku konverzii, pomer n\u00e1v\u0161tevn\u00edkov, ktor\u00ed odpadli v priebehu konverzie a t\u00fdch \u010do ju dokon\u010dili. Vz\u0165ah medzi jednotliv\u00fdmi krokmi nemus\u00edme vizualizova\u0165 len ako klasick\u00fd funnel, ale m\u00f4\u017eeme pou\u017ei\u0165 aj zobrazenie na \u010dasovej osi.<\/p>\n<p>Lievik m\u00f4\u017ee by\u0165 otvoren\u00fd, alebo uzavret\u00fd. V otvorenom lieviku m\u00f4\u017eu pou\u017e\u00edvatelia vst\u00fapi\u0165 do lievika v ktoromko\u013evek kroku. Naopak zatvorenom lieviku musia pou\u017e\u00edvatelia vst\u00fapi\u0165 do lievika len v prvom kroku.<\/p>\n<p><iframe loading=\"lazy\" title=\"Prieskum lievika\/ Funnel exploration | DASE Tutor\u00e1l\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/Zfes1dwQd2Q?feature=oembed&#038;enablejsapi=1&#038;origin=https:\/\/www.dase-analytics.com\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<h2>Z\u00edskajte hlbok\u00fd preh\u013ead o\u00a0konkr\u00e9tnych udalostiach<\/h2>\n<p>Ak potrebujete z\u00edska\u0165 hlb\u0161\u00ed preh\u013ead o konkr\u00e9tnej udalosti a vy\u0165a\u017ei\u0165 z nej d\u00f4le\u017eit\u00fd poznatok, tak Explore (Prieskum)\u00a0 je skvel\u00fd doplnok pre v\u00e1\u0161 GA4. Mo\u017enos\u0165 vizualizova\u0165 vo vo\u013enom form\u00e1te vlastn\u00e9 dimenzie, alebo metriky naprie\u010d reportami a pritom spresni\u0165 skupinu pou\u017e\u00edvate\u013eov, je naozaj praktick\u00e1.<\/p>\n<p>Z\u00e1rove\u0148 sa n\u00e1m ve\u013emi p\u00e1\u010di aj aplik\u00e1cia prieskumu cesty pou\u017e\u00edvate\u013eov, ktor\u00e1 n\u00e1sledne vytv\u00e1ra z\u00e1klad pre prieskum lievika a zobrazenie v jednotliv\u00fdch krokoch. T\u00e1to kombin\u00e1cia tak vie odpoveda\u0165 aj na naozaj zlo\u017eit\u00e9 ot\u00e1zky. Napr\u00edklad, ako sa stan\u00fa z be\u017en\u00fdch n\u00e1v\u0161tevn\u00edkov kupuj\u00faci a dlhodob\u00ed z\u00e1kazn\u00edci, alebo v ktorom kroku konverzie odch\u00e1dza najv\u00e4\u010d\u0161ia \u010das\u0165 pou\u017e\u00edvate\u013eov.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google Analytics 4 dostal cez leto v\u00fdrazn\u00fd facelift u\u017e\u00edvate\u013esk\u00e9ho rozhrania, ktor\u00e9ho s\u00fa\u010das\u0165ou bolo aj premenovanie sekcie Analysis hub&#8230;<\/p>\n","protected":false},"author":71,"featured_media":17798,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[803,639],"tags":[603,642,798,372,641],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/17790"}],"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\/71"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=17790"}],"version-history":[{"count":5,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/17790\/revisions"}],"predecessor-version":[{"id":17796,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/17790\/revisions\/17796"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/17798"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=17790"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=17790"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=17790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}