{"id":14991,"date":"2021-01-22T07:56:33","date_gmt":"2021-01-22T05:56:33","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=14991"},"modified":"2021-10-26T13:45:08","modified_gmt":"2021-10-26T11:45:08","slug":"10-dovodov-preco-si-zalozit-novy-google-analytics-appweb-uz-dnes","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/10-dovodov-preco-si-zalozit-novy-google-analytics-appweb-uz-dnes\/","title":{"rendered":"10 d\u00f4vodov pre\u010do si zalo\u017ei\u0165 nov\u00fd Google Analytics 4 u\u017e dnes"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">V auguste 2019 sme v\u00e1m priniesli <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/velky-update-google-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">\u010dl\u00e1nok<\/span><\/a><span style=\"font-weight: 400;\"> o tom, \u010do so sebou prin\u00e1\u0161a nov\u00fd Google Analytics 4 (v beta verzii sa volal App + Web). Ke\u010f\u017ee m\u00e1me za sebou p\u00e1r mesiacov testovania, nastal \u010das bilancova\u0165. Oplat\u00ed sa investova\u0165 \u010das do implement\u00e1cie Google Analytics 4? Ur\u010dite \u00e1no! Tu je 10 funkci\u00ed, ktor\u00e9 m\u00e1m z nov\u00e9ho Google Analytics najrad\u0161ej a mohli by presved\u010di\u0165 aj v\u00e1s.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">St\u00e1le v\u0161ak plat\u00ed to, \u017ee ur\u010dite odpor\u00fa\u010dame GA 4 ako doplnok k u\u017e existuj\u00facemu meraniu v Universal Analytics, ale rozhodne GA4 neodpor\u00fa\u010dame ako jedin\u00fd a hlavn\u00fd zdroj d\u00e1t, \u010di u\u017e pre v\u00e1\u0161 web alebo appku. Pozrite si na\u0161e video o tom, ak\u00fd je rozdiel medzi <a href=\"https:\/\/www.youtube.com\/watch?v=45uvySm-T8U&amp;t=136s\" data-rel=\"lightbox-video-0\" target=\"_blank\" rel=\"noopener noreferrer\">GA 4, App + Web a Universal Analytics<\/a>.\u00a0<\/span><\/i><\/p>\n<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/45uvySm-T8U\" width=\"900\" height=\"506\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<h2><strong>1. \u00daplne nov\u00e1 d\u00e1tov\u00e1 sch\u00e9ma<\/strong><\/h2>\n<p><b>Google Analytics prakticky od svojho vzniku fungoval na princ\u00edpe <a href=\"https:\/\/www.dase-analytics.com\/blog\/vyraz\/zobrazenia-stranok-pageviews\/\" target=\"_blank\" rel=\"noopener noreferrer\">Pageviews<\/a> a <a href=\"https:\/\/www.dase-analytics.com\/blog\/vyraz\/relacia-session\/\" target=\"_blank\" rel=\"noopener noreferrer\">Sessions<\/a>.<\/b><span style=\"font-weight: 400;\"> To pred 15 rokmi zmysel d\u00e1valo,no p\u00e1r vec\u00ed sa odvtedy v\u00fdrazne zmenilo. \u010ci u\u017e sa na to pozer\u00e1me z poh\u013eadu zariaden\u00ed alebo technol\u00f3gi\u00ed, ktor\u00e9 sa vyu\u017e\u00edvaj\u00fa pri vytv\u00e1ran\u00ed webov (napr. JavaScript frameworky React alebo AJAX), ale aj z poh\u013eadu spr\u00e1vania pou\u017e\u00edvate\u013eov pri prehliadan\u00ed webu. Jedin\u00e1 vec, ktor\u00e1 sa<\/span><b> zostala nemenn\u00e1 bol princ\u00edp, na ktorom GA funguje.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">GA4 toto kone\u010dne men\u00ed a <\/span><b>meranie webov prisp\u00f4sobuje potreb\u00e1m novej dek\u00e1dy.<\/b><span style=\"font-weight: 400;\"> Do popredia sa dost\u00e1vaj\u00fa <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/vyraz\/uzivatel-user\/\" target=\"_blank\" rel=\"noopener noreferrer\"><b>Pou\u017e\u00edvatelia (Users)<\/b><\/a><span style=\"font-weight: 400;\"> a ak\u00e1ko\u013evek interakcia s webom predstavuje <\/span><a href=\"https:\/\/www.dase-analytics.com\/blog\/vyraz\/udalost-event\/\" target=\"_blank\" rel=\"noopener noreferrer\"><b>Event <\/b><\/a><span style=\"font-weight: 400;\">(teda u\u017e \u017eiadne delenie na Pageviews a Eventy). T\u00e1to zmena poskytuje obrovsk\u00fa vo\u013enos\u0165, \u010di u\u017e pri implement\u00e1ci\u00ed meran\u00ed alebo pri \u010fal\u0161ej pr\u00e1ci s nazbieran\u00fdmi d\u00e1tami.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">S touto zmenou sch\u00e9my s\u00favis\u00ed aj fakt, \u017ee je kone\u010dne mo\u017en\u00e9 zbiera\u0165 d\u00e1ta ako z Webu tak z Appky priamo do tej istej Google Analytics Property. Nov\u00e1 sch\u00e9ma je rovnak\u00e1, ak\u00fa vyu\u017e\u00edva Google Analytics pre Firebase (ur\u010den\u00fd na meranie aplik\u00e1ci\u00ed). Samozrejme, nov\u00fd Google Analytics m\u00f4\u017eete bez probl\u00e9mov vyu\u017ei\u0165 len na zbieranie d\u00e1t z webu.<\/span><\/p>\n<h2><strong>2. Export do BigQuery<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Dosta\u0165 Raw data (neagregovan\u00e9) do BigQuery bolo doteraz mo\u017en\u00e9 len pri platenej verzii Google Analytics 360. T\u00fato funkciu ocenia hlavne firmy, ktor\u00e9 chc\u00fa vybudova\u0165 centr\u00e1lny data hub z r\u00f4znych zdrojov na Google Cloud-e.<\/span><\/p>\n<p><a href=\"https:\/\/cloud.google.com\/bigquery\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">BigQuery<\/span><\/a><span style=\"font-weight: 400;\"> je datab\u00e1za vyu\u017e\u00edvaj\u00faca Google \u00falo\u017eisko a v\u00fdpo\u010dtov\u00fa silu pr\u00edstupn\u00e1 cez Google Cloud. Umo\u017e\u0148uje prepoji\u0165 d\u00e1ta z r\u00f4znych zdrojov. V\u00fdhodou BigQuery je, \u017ee <\/span><b>firmy nemusia by\u0165 za\u0165a\u017een\u00e9 vytv\u00e1ran\u00edm komplikovanej infra\u0161trukt\u00fary, ktor\u00e1 je na vytvorenie centr\u00e1lneho d\u00e1tov\u00e9ho centra potrebn\u00e1.<\/b><span style=\"font-weight: 400;\"> Nemus\u00edme sa teda s\u00fastredi\u0165 na rie\u0161enie probl\u00e9mov, ako \u0161k\u00e1lovanie, n\u00e1kup a udr\u017eiavanie serverov \u010di v\u00fdpo\u010dtovej sily. Namiesto toho sa m\u00f4\u017eeme s\u00fastredi\u0165 na samotn\u00fa pr\u00e1cu s d\u00e1tami a ich premenu na skuto\u010dn\u00fa hodnotu.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Je pravdepodobn\u00e9, \u017ee BigQuery export bude zadarmo len dovtedy, k\u00fdm bude App+Web v Beta \u201ctestovacej\u201d verzii. Na druhej strane je tu aj \u0161anca, \u017ee Google ponech\u00e1 export do ur\u010dit\u00e9ho objemu d\u00e1t st\u00e1le zdarma. \u010cas uk\u00e1\u017ee.\u00a0<\/span><\/p>\n<h2><strong>3. Analysis Hub &#8211; Explore<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Analysis Hub je nov\u00e1 \u010das\u0165, ktor\u00e1 je zameran\u00e1 na anal\u00fdzu a vizualiz\u00e1ciu d\u00e1t. Umo\u017e\u0148uje vytv\u00e1ra\u0165 a uklada\u0165 vlastn\u00e9 reporty, pri\u010dom je na v\u00fdber z nieko\u013ek\u00fdch vizualiza\u010dn\u00fdch techn\u00edk. S nie\u010d\u00edm ve\u013emi podobn\u00fdm sme sa u\u017e stretli &#8211; v platenej verzi\u00ed Google Analytics 360, kde pod n\u00e1zvom Adavanced Analysis bola t\u00e1to funkcionalita pr\u00edstupn\u00e1 u\u017e asi rok dozadu. Verzia v App+Web nesie n\u00e1zov Analysis Hub a obsahuje e\u0161te viac mo\u017enost\u00ed. Navy\u0161e, ka\u017ed\u00fa chv\u00ed\u013eu by mali by\u0165 do Analysis Hub-u pridan\u00e9 dve nov\u00e9 anal\u00fdzy: Cohort analysis a Lifetime Value analysis. To s\u00fa v\u00fdborn\u00e9 spr\u00e1vy, preto\u017ee sa zd\u00e1, \u017ee Google m\u00e1 v pl\u00e1ne roz\u0161irova\u0165 aj t\u00fato \u010das\u0165 App+Web.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/analysis-hub.png\" data-rel=\"lightbox-image-0\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14996 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/analysis-hub.png\" alt=\"Analysis Hub v novom Google Analytics App+Wen\" width=\"229\" height=\"268\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">Osobne sa mi najviac p\u00e1\u010di mo\u017enos\u0165 vytv\u00e1rania si vlastn\u00fdch funnelov (lievikov) v \u010dasti Funnel Analysis.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Vytv\u00e1ranie vlastn\u00fdch funnelov je ve\u013emi intuit\u00edvne a poskytuje ve\u013ea mo\u017enost\u00ed ako funnel vysklada\u0165. Pri definovan\u00ed krokov vo funneli m\u00f4\u017eete vyu\u017ei\u0165 ako dimenzie a metriky, tak aj samotn\u00e9 eventy. Dokonca m\u00f4\u017eete definova\u0165 maxim\u00e1lny \u010das, po\u010das ktor\u00e9ho mus\u00ed pou\u017e\u00edvate\u013e vojs\u0165 do \u010fal\u0161ieho kroku funnela. Defin\u00edcia funnela m\u00f4\u017ee vyzera\u0165 napr\u00edklad takto:<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-definition.png\" data-rel=\"lightbox-image-1\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15002 size-large\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-definition-1024x620.png\" alt=\"Defin\u00edcia vlastn\u00e9ho funnelu v App+Web\" width=\"1024\" height=\"620\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-definition-1024x620.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-definition-300x182.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-definition-600x363.png 600w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-definition.png 1527w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">N\u00e1sledn\u00e1 vizualiz\u00e1cia vyzer\u00e1 takto:<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel.png\" data-rel=\"lightbox-image-2\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15001 size-large\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-1024x427.png\" alt=\"Funnel analysis Google Analytics App+Web\" width=\"1024\" height=\"427\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-1024x427.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-300x125.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel-600x250.png 600w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/custom-funnel.png 1381w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><b>Vizualiz\u00e1cia aj tabu\u013eka pod \u0148ou je plne interakt\u00edvna.<\/b><span style=\"font-weight: 400;\"> Po kliknut\u00ed na ak\u00fdko\u013evek element vo vizualiz\u00e1ci\u00ed m\u00f4\u017eeme vytv\u00e1ra\u0165 segmenty pou\u017e\u00edvate\u013eov. Je to skvel\u00fd sp\u00f4sob ako vytv\u00e1ra\u0165 komplexnej\u0161ie segmenty, nako\u013eko Google Analytics priprav\u00ed defin\u00edciu za v\u00e1s. Vy iba ozna\u010d\u00edte, ktor\u00fa skupinu pou\u017e\u00edvate\u013eov chcete segmentova\u0165.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u010eal\u0161ou zauj\u00edmavou vizualiz\u00e1ciou je <\/span><b>Path Analysis, <\/b><span style=\"font-weight: 400;\">ktor\u00e1 zobrazuje ako pou\u017e\u00edvatelia prech\u00e1dzaj\u00fa jednotliv\u00fdmi podstr\u00e1nkami. Podobn\u00e1 funkcia je s\u00edce dostupn\u00e1 aj v Universal Analytics, no (aspo\u0148 pre m\u0148a) bola dos\u0165 nepreh\u013eadn\u00e1, tak\u017ee ak sa to dalo, sna\u017eil som sa jej vyhn\u00fa\u0165.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/path-analysis.png\" data-rel=\"lightbox-image-3\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15004 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/path-analysis.png\" alt=\"Path Analysis v novom Google Analytics App+Web.\" width=\"782\" height=\"614\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/path-analysis.png 782w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/path-analysis-300x236.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/path-analysis-600x471.png 600w\" sizes=\"(max-width: 782px) 100vw, 782px\" \/><\/a><\/p>\n<h2><strong>4. Enhanced Measurements<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Enhanced measurements umo\u017e\u0148uj\u00fa priamo v pou\u017e\u00edvate\u013eskom rozhran\u00ed Google Analytics aktivova\u0165 z\u00e1kladn\u00e9 merania bez potreby ak\u00e9hoko\u013evek dodato\u010dn\u00e9ho nastavovania v Google Tag Manageri (teda, okrem z\u00e1kladnej inicializ\u00e1cie GA 4).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Moment\u00e1lne je na v\u00fdber iba p\u00e1r z\u00e1kladn\u00fdch meran\u00ed:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">scrollovanie,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">outbound link kliky,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">vyh\u013ead\u00e1vanie na webe,<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">interakcie s YouTube videami a stiahnutia s\u00faborov.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Pr\u00eds\u013eub do bud\u00facnosti je v\u0161ak obrovsk\u00fd. Sn\u00e1\u010f postupne pribudne viac mo\u017enost\u00ed merania, z ktor\u00fdch si budeme m\u00f4c\u0165 vybra\u0165. Je to<\/span><b> ve\u013emi u\u017eito\u010dn\u00e9 najm\u00e4 pre \u013eud\u00ed, ktor\u00ed si chc\u00fa Google Analytics nastavova\u0165 sami,<\/b><span style=\"font-weight: 400;\"> no implement\u00e1cia cez Google Tag Manager je moment\u00e1lne nad ich sily.\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/enhanced-measurements.png\" data-rel=\"lightbox-image-4\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15003 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/enhanced-measurements.png\" alt=\"Mo\u017enosti automatick\u00e9ho merania v Enhanced Measurements.\" width=\"745\" height=\"573\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/enhanced-measurements.png 745w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/enhanced-measurements-300x231.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/enhanced-measurements-600x461.png 600w\" sizes=\"(max-width: 745px) 100vw, 745px\" \/><\/a><\/p>\n<h2><strong>5. Detekcia anom\u00e1li\u00ed<\/strong><\/h2>\n<p><b>\u2018Automated Insights\u2019<\/b><span style=\"font-weight: 400;\"> nie s\u00fa v Google Analytics \u017eiadna novinka, nako\u013eko s\u00fa u\u017e nejak\u00fa dobu s\u00fa\u010das\u0165ou Universal Analytics. \u010coskoro bude mo\u017en\u00e9 v GA 4 definova\u0165 aj<\/span><b> vlastn\u00e9 tzv. \u2018Custom Insights\u2019.<\/b><span style=\"font-weight: 400;\"> Zatia\u013e t\u00e1to mo\u017enos\u0165 nie je pr\u00edstupn\u00e1, ale zd\u00e1 sa, \u017ee to bude nie\u010do na sp\u00f4sob Upozornen\u00ed (Alerts) v Universal Analytics. Vyberiete si metriku a pokia\u013e sa jej hodnota bude vymyka\u0165 nastaven\u00e9mu rozsahu, budete o tom notifikovan\u00ed. D\u00fafam, \u017ee bude obsahova\u0165 viacero (aj pokro\u010dilej\u0161\u00edch) mo\u017enost\u00ed ako tento Custom Insight nastavi\u0165, nako\u013eko upozornenia v Universal Analytics v s\u00fa\u010dasnej forme nie s\u00fa ve\u013emi u\u017eito\u010dn\u00e9.<\/span><\/p>\n<p><b>App+Web obsahuje v r\u00e1mci \u2018Automated Insights\u2019 zabudovan\u00fa detekciu anom\u00e1li\u00ed.<\/b><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection.png\" data-rel=\"lightbox-image-5\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14997 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection.png\" alt=\"Zobrazenie anom\u00e1lie na \u010diarovom grafe\" width=\"714\" height=\"411\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection.png 714w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-300x173.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-600x345.png 600w\" sizes=\"(max-width: 714px) 100vw, 714px\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><a href=\"https:\/\/www.dase-analytics.com\/blog\/marketing-pre-malu-firmu-s-este-mensim-rozpoctom\/\" target=\"_blank\" rel=\"noopener noreferrer\"><i><span style=\"font-weight: 400;\">\u00daprimn\u00fd \u010dl\u00e1nok od Julky<\/span><\/i><\/a><i><span style=\"font-weight: 400;\"> mal skvel\u00fa odozvu &#8211; anom\u00e1lie v \u0161tandardnom reporte.<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Anom\u00e1lie sa zobrazuj\u00fa v \u0161tandardn\u00fdch reportoch, ale aj vo vlastn\u00fdch reportoch vytvoren\u00fdch v Analysis Hub-e.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-settings.png\" data-rel=\"lightbox-image-6\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14998 size-large\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-settings-1024x498.png\" alt=\"Mo\u017enosti pri nastaven\u00ed anom\u00e1li\u00ed.\" width=\"1024\" height=\"498\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-settings-1024x498.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-settings-300x146.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-settings-600x292.png 600w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/anomaly-detection-settings.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><i><span style=\"font-weight: 400;\">Nastavenie detekcie anom\u00e1li\u00ed vo vlastnom reporte.<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Vo vlastnom reporte m\u00f4\u017eete dokonca nastavi\u0165 citlivos\u0165 a po\u010det predch\u00e1dzaj\u00facich dn\u00ed, ktor\u00e9 sa maj\u00fa zoh\u013ead\u0148ova\u0165 pri v\u00fdpo\u010dte o\u010dak\u00e1vanej hodnoty (maxim\u00e1lne 30 dn\u00ed dozadu). Citlivos\u0165 potom ur\u010duje percentu\u00e1lnu odch\u00fdlku. T\u00e1to odch\u00fdlka je v grafe zn\u00e1zornen\u00e1 svetlo modrou plochou. Ak skuto\u010dn\u00e1 hodnota spad\u00e1 mimo tejto plochy, t\u00e1to hodnota je ozna\u010den\u00e1 ako anom\u00e1lia. Detekcia anom\u00e1li\u00ed sa zatia\u013e d\u00e1 aktivova\u0165 iba pri Line chart-e. Uvid\u00edme, \u010di \u010dasom bude dostupn\u00e1 aj v in\u00fdch reportoch.<\/span><\/p>\n<h2><strong>6. V\u00fdber atribu\u010dn\u00e9ho modelu v \u0161tandardn\u00fdch reportoch<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Tak sme sa predsa do\u010dkali. V\u00fdber <a href=\"https:\/\/www.dase-analytics.com\/blog\/vyraz\/atribucny-model-attribution-model\/\" target=\"_blank\" rel=\"noopener noreferrer\">atribu\u010dn\u00fdch modelov<\/a> v \u0161tandardn\u00fdch reportoch<\/span><b>. Nie\u010do po \u010dom pou\u017e\u00edvatelia GA volali roky, je kone\u010dne tu!<\/b><\/p>\n<p><span style=\"font-weight: 400;\">V Universal Analytics m\u00f4\u017eete atribu\u010dn\u00e9 modely porovn\u00e1va\u0165 iba v jednom, pre tento \u00fa\u010del vytvorenom, reporte. V novej GA 4 si m\u00f4\u017eete zvoli\u0165 ak\u00fd atribu\u010dn\u00fd model chcete pou\u017ei\u0165. Moment\u00e1lne s\u00fa na v\u00fdber len \u0161tyri a zatia\u013e nie je mo\u017en\u00e9 vytv\u00e1ra\u0165 vlastn\u00e9 atribu\u010dn\u00e9 modely.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ost\u00e1va len d\u00fafa\u0165, \u017ee mo\u017enos\u0165 v\u00fdberu vlastn\u00e9ho atribu\u010dn\u00e9ho modelu bude s\u00fa\u010das\u0165ou GA 4 API a taktie\u017e prepojenia s Google Data Studiom.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/attribution-model.png\" data-rel=\"lightbox-image-7\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-14999 size-full\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/attribution-model.png\" alt=\"V\u00fdber atribu\u010dn\u00e9ho modelu v \u0161tandardn\u00fdch reportoch.\" width=\"842\" height=\"862\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/attribution-model.png 842w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/attribution-model-293x300.png 293w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/attribution-model-600x614.png 600w\" sizes=\"(max-width: 842px) 100vw, 842px\" \/><\/a><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<h2><strong>7. Reporty bez Samplovania<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Kone\u010dne sme sa do\u010dkali. Samplovanie d\u00e1t je jeden z najv\u00e1\u017enej\u0161\u00edch probl\u00e9mov Universal Analytics. Nast\u00e1va v\u00e4\u010d\u0161inou vtedy, ke\u010f sa pozer\u00e1me na d\u00e1ta za ve\u013ek\u00e9 \u010dasov\u00e9 obdobie alebo ke\u010f do jedn\u00e9ho reportu nakombinujeme viacero dimenzi\u00ed a metr\u00edk. Niekedy (hlavne pri ve\u013ek\u00fdch \u00fa\u010dtoch) m\u00f4\u017ee samplovanie nasta\u0165 u\u017e pri prezeran\u00ed jednot\u00fd\u017ed\u0148ov\u00fdch d\u00e1t.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nesamplovan\u00e9 d\u00e1ta boli pr\u00edstupn\u00e9 v Google Analytics 360, kone\u010dne prich\u00e1dzaj\u00fa aj do free verzie Google Analytics. Zatia\u013e nie je zn\u00e1me, \u010di je samplovanie definit\u00edvne minulos\u0165ou alebo bude znova predstaven\u00e9, ke\u010f bude Beta verzia App+Web ukon\u010den\u00e1 a nahraden\u00e1 \u201costrou\u201d.<\/span><\/p>\n<h2><strong>8. Vytv\u00e1ranie Publ\u00edk\/Segmentov<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Vytv\u00e1ranie Publ\u00edk (Audiences, nie\u010do na sp\u00f4sob User segmentov v Universal Analytics) pre\u0161lo \u00fapravami. D\u00e1va to zmysel, ke\u010f\u017ee v GA 4 s\u00fa v popred\u00ed pr\u00e1ve Pou\u017e\u00edvatelia.<\/span><b> Vytv\u00e1ranie Publ\u00edk je omnoho preh\u013eadnej\u0161ie ako v Universal Analytics. <\/b><span style=\"font-weight: 400;\">P\u00e1\u010di sa mi hlavne vizualiz\u00e1cia Publika v pravom paneli, ktor\u00e1 zobrazuje ko\u013eko pou\u017e\u00edvate\u013eov je moment\u00e1lne vo vytv\u00e1ranom publiku (v pr\u00edpade, \u017ee sa prid\u00e1 vylu\u010duj\u00face pravidlo, zobraz\u00ed sa aj po\u010det pou\u017e\u00edvate\u013eov, ktor\u00fdch ste t\u00fdmto pravidlom vyl\u00fa\u010dili). Podobne, ako pri vytv\u00e1ran\u00ed remarketingov\u00fdch publ\u00edk, aj v Publik\u00e1ch v GA 4 si vyber\u00e1te, ko\u013eko dn\u00ed m\u00e1 by\u0165 pou\u017e\u00edvate\u013e v danom publiku zaraden\u00fd.<\/span><\/p>\n<p><a href=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/audience-builder.png\" data-rel=\"lightbox-image-8\" data-rl_title=\"\" data-rl_caption=\"\" title=\"\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-15000 size-large\" src=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/audience-builder-1024x528.png\" alt=\"Nov\u00fd sp\u00f4sob vytv\u00e1rania publ\u00edk v Google Analytics.\" width=\"1024\" height=\"528\" srcset=\"https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/audience-builder-1024x528.png 1024w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/audience-builder-300x155.png 300w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/audience-builder-600x309.png 600w, https:\/\/www.dase-analytics.com\/blog\/wp-content\/uploads\/audience-builder.png 1520w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<h2><strong>9. Debug View<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">T\u00e1to funkcia je zauj\u00edmav\u00e1 hlavne pre \u013eud\u00ed, ktor\u00ed bud\u00fa merania nastavova\u0165 a testova\u0165. \u010ci\u017ee u n\u00e1s v DASE sa z nej v\u0161etci ve\u013emi te\u0161\u00edme. \ud83d\ude42\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Debug View je vlastne Realtime report, ale s t\u00fdm rozdielom, \u017ee sa v \u0148om<\/span><b> zobrazuj\u00fa iba eventy, ktor\u00e9 ozna\u010d\u00edme parametrom debug_mode=true.<\/b><span style=\"font-weight: 400;\"> Je tak omnoho jednoduch\u0161ie vyh\u013eada\u0165 hity, ktor\u00e9 posielame do Google Analytics behom testovania a tak ich vidie\u0165 priamo v reportovacom rozhran\u00ed. M\u00f4\u017eeme skontrolova\u0165 v\u0161etky hodnoty Parametrov a User properties e\u0161te pred t\u00fdm, ako nov\u00fa implement\u00e1ciu re\u00e1lne spust\u00edme.<\/span><\/p>\n<h2><strong>10. Responz\u00edvne a r\u00fdchle pou\u017e\u00edvate\u013esk\u00e9 prostredie<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">Zo za\u010diatku som nebol ve\u013ek\u00fdm fan\u00fa\u0161ikom nov\u00e9ho pou\u017e\u00edvate\u013esk\u00e9ho rozhrania. Zrejme to v\u0161ak bol z ve\u013ekej \u010dasti nezvyk, hlavne po prechode z Universal Analytics, ktor\u00e9mu v \u0161tandardn\u00fdch reportoch dominuj\u00fa tabu\u013eky. Pri pr\u00e1ci s Google Analytics 4 som mal v\u017edy pocit, \u017ee sa pozer\u00e1m na ve\u013emi pekn\u00fd dashboard pre C-level mana\u017ement a nie na n\u00e1stroj, v ktorom by som mal nie\u010do analyzova\u0165. <\/span><b>A za t\u00fdm si stoj\u00edm, tabu\u013ekov\u00e9 reporty Universal Analytics s\u00fa ur\u010dite vhodnej\u0161ou alternat\u00edvou, pri pr\u00e1ci s d\u00e1tami. <\/b><span style=\"font-weight: 400;\">Av\u0161ak, ako som u\u017e spom\u00ednal v piatom bode, GA 4 prich\u00e1dza s pokro\u010dilou funkcionalitou vytv\u00e1rania vlastn\u00fdch zobrazen\u00ed d\u00e1t, kde s jednou mo\u017enost\u00ed je aj klasick\u00e1 tabu\u013eka.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Nov\u00e9 rozhranie je taktie\u017e ve\u013emi<\/span><b> responz\u00edvne a r\u00fdchle<\/b><span style=\"font-weight: 400;\">, \u010do sa o Universal Analytics poveda\u0165 ned\u00e1. Je ot\u00e1zne, ako bude GA 4 reagova\u0165, ke\u010f bude pristupova\u0165 k v\u00e4\u010d\u0161iemu mno\u017estvu d\u00e1t za v\u00e4\u010d\u0161ie \u010dasov\u00e9 obdobie. No zatia\u013e v\u017edy ke\u010f sa z GA 4 vr\u00e1tim sp\u00e4\u0165 do Universal Analytics, m\u00e1m pocit, \u017ee som sa vr\u00e1til minim\u00e1lne 10 rokov do minuosti.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><strong>Zhrnutie<\/strong><\/h2>\n<p><span style=\"font-weight: 400;\">U\u017e teraz sa d\u00e1 takmer s istotou tvrdi\u0165, \u017ee Google bude v\u0161etku nov\u00fa funkcionalitu vyv\u00edja\u0165 v\u00fdlu\u010dne pre Google Analytics 4. Hlavn\u00fdm d\u00f4vodom je upustenie od zastaral\u00e9ho modelu Pageviews a Sessions a zavedenie modelu, ktor\u00fd bol predt\u00fdm pr\u00edzna\u010dn\u00fd pre Firebase a meranie mobiln\u00fdch aplik\u00e1ci\u00ed. Nov\u00fd model, ktor\u00fd je v\u00fdlu\u010dne zalo\u017een\u00fd na Eventoch poskytuje omnoho v\u00e4\u010d\u0161iu flexibilitu, a to sa prejavuje nielen pri nastavovan\u00ed merania, ale aj pri zozname funkci\u00ed, ktor\u00e9 n\u00e1m m\u00f4\u017ee nov\u00fd Analytics poskytn\u00fa\u0165.<\/span><\/p>\n<p><b>Zaujali v\u00e1s niektor\u00e9 funkcie a chceli by ste nastavi\u0165 nov\u00fa verziu Google Analytics pre v\u00e1\u0161 web? Ur\u010dite <a href=\"https:\/\/www.dase-analytics.com\/sk\/#kontakt\" target=\"_blank\" rel=\"noopener noreferrer\">sa n\u00e1m ozvite<\/a> a my v\u00e1m s t\u00fdm radi pom\u00f4\u017eeme. \ud83d\ude42<\/b><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>V auguste 2019 sme v\u00e1m priniesli \u010dl\u00e1nok o tom, \u010do so sebou prin\u00e1\u0161a nov\u00fd Google Analytics 4 (v&#8230;<\/p>\n","protected":false},"author":62,"featured_media":17062,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[803,669],"tags":[162,372],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/14991"}],"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\/62"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/comments?post=14991"}],"version-history":[{"count":20,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/14991\/revisions"}],"predecessor-version":[{"id":17914,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/14991\/revisions\/17914"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/17062"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=14991"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=14991"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=14991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}