{"id":18038,"date":"2021-11-30T10:06:37","date_gmt":"2021-11-30T08:06:37","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=18038\/"},"modified":"2021-11-30T18:56:07","modified_gmt":"2021-11-30T16:56:07","slug":"analytics-news-november-2021","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-november-2021\/","title":{"rendered":"\u0160tyri \u010derstv\u00e9 novinky, ktor\u00e9 pote\u0161ia ka\u017ed\u00e9ho analytika"},"content":{"rendered":"<h2>Inovovan\u00fd Channel Grouping v Google Analytics 4<\/h2>\n<p>Mo\u017eno ste si aj vy v\u0161imli, \u017ee v novej GA4 spadalo medzi nezaraden\u00e9 ove\u013ea viac <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/relacia-session\/\">rel\u00e1ci\u00ed<\/a> ako v &#8222;starom&#8220; Universal Analytics. Tomu je teraz koniec. Google priniesol nov\u00e9 delenie pre <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/zoskupenie-kanalov-channel-grouping\/\">Channel Grouping<\/a> a upravil tie\u017e podmienky pre jednotliv\u00e9 kan\u00e1ly. V z\u00e1kladnom Channel Groupingu odteraz n\u00e1jdete nov\u00e9 kan\u00e1ly, a to:<\/p>\n<ul>\n<li>Organic Shopping<\/li>\n<li>Paid Shopping<\/li>\n<li>Organic Video<\/li>\n<li>Paid Video<\/li>\n<li>Paid Other<\/li>\n<li>Audio<\/li>\n<li>SMS<\/li>\n<li>Mobile Push Notifications<\/li>\n<\/ul>\n<p>Okrem toho bolo zmenen\u00e9 zara\u010fovanie n\u00e1v\u0161tev z YouTube medzi Video (p\u00f4vodne bolo Social). Pod\u013ea toho, \u010di ide o odkaz z reklamy, alebo z popisu videa bude kan\u00e1l Paid Video alebo Organic Video. Zmenilo sa tie\u017e radenie rel\u00e1ci\u00ed medzi platen\u00e9 kan\u00e1ly &#8211; odteraz existuje 5 platen\u00fdch kan\u00e1lov a to: Paid Search, Paid Social, Paid Shopping, Paid Video a Paid Other. \u010eal\u0161\u00edm probl\u00e9mom bolo radenie rel\u00e1ci\u00ed, ktor\u00e9 boli otagovan\u00e9 ve\u013ek\u00fdmi p\u00edsmenami. Odteraz nez\u00e1le\u017e\u00ed na tom, \u010di pou\u017e\u00edvate mal\u00e9, alebo ve\u013ek\u00e9 p\u00edsmen\u00e1.<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/support.google.com\/analytics\/answer\/9756891\" target=\"_blank\" rel=\"noopener noreferrer\">Google Support<\/a><\/p>\n<h2>Odteraz m\u00f4\u017eete interagova\u0165 s va\u0161imi dashbordami u\u017e v edit m\u00f3de<\/h2>\n<p>Ak s Data Studiom nepracujete pravidelne, mo\u017eno budete prekvapen\u00ed s nov\u00fdm re\u017eimom edit\u00e1cie. Odteraz v\u00e1m toti\u017e Data Studio v re\u017eime \u00faprav umo\u017e\u0148uje interagova\u0165 s prvkami dashboardu rovnak\u00fdmi sp\u00f4sobmi ako v re\u017eime zobrazenia. M\u00f4\u017eete napr\u00edklad pou\u017ei\u0165 filter a upravi\u0165 rozsah d\u00e1tumov bez toho, aby ste sa museli prep\u00edna\u0165 do re\u017eimu zobrazenia. T\u00e1to zmena v\u00e1m u\u0161etr\u00ed mno\u017estvo zbyto\u010dn\u00e9ho preklik\u00e1vania v procese vytv\u00e1rania dashboardu. Pr\u00e1ca s Data Studiom je v\u010faka tejto zmene op\u00e4\u0165 o nie\u010do jednoduch\u0161ia.<\/p>\n<p>\u010eal\u0161ou skvel\u00fdm vylep\u0161en\u00edm je mo\u017enos\u0165 r\u00fdchleho vytvorenia tabu\u013eky za pou\u017eitia drag&amp;drop priamo z d\u00e1tov\u00e9ho panelu do okna dashboardu. Rovnako viete nov\u00e9 dimenzie \u010di metriky dop\u013a\u0148a\u0165 do existuj\u00facej tabu\u013eky. Samozrejme, nie v\u017edy dosiahnete to, \u010do potrebujete, ale na v\u00e4\u010d\u0161inu jednoduch\u00fdch pr\u00edpadov je t\u00e1to met\u00f3da plne posta\u010duj\u00faca.<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/support.google.com\/datastudio\/answer\/10331528?hl=en&amp;ref_topic=6267740#jan-7-2021?utm_medium=email&amp;utm_source=newsletter&amp;utm_campaign=january2021datastudio&amp;utm_content=en&amp;zippy=%2Csee-older-releases\" target=\"_blank\" rel=\"noopener noreferrer\">Google Support<\/a><\/p>\n<h2>Nov\u00fd open source n\u00e1stroj v\u00e1m pom\u00f4\u017ee s pr\u00e1cou v BigQuery<\/h2>\n<p>Ak ste u\u017e <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/zalozenie-bigquery\/\">prep\u00e1jali svoj Google Analytics 4 s BigQuery<\/a>, ur\u010dite ste si v\u0161imli, \u017ee tabu\u013eka v BigQuery je trochu in\u00e1 ako v Exceli. Je to t\u00fdm, \u017ee tabu\u013eka v BigQuery je vlastne objekt, kde riadok obsahuje vnoren\u00e9 riadky a st\u013apec vnoren\u00e9 st\u013apce. Pr\u00e1ca s takto \u0161trukt\u00farovan\u00fdmi d\u00e1tami je preto trochu n\u00e1ro\u010dnej\u0161ia a na to, aby sme vedeli pou\u017e\u00edva\u0165 jednoduch\u00e9 query, pr\u00edpadne zobrazova\u0165 d\u00e1ta v Data Studiu, ich potrebujeme najsk\u00f4r pretransformova\u0165 do \u0161tandardnej 2D podoby.<\/p>\n<p>A pr\u00e1ve s tak\u00fdmto flettenerom (neviem, \u010di na to existuje slovensk\u00fd ekvivalent a aj o spisovnosti toho anglick\u00e9ho by som pochyboval) pri\u0161la v uplynul\u00fdch d\u0148och spolo\u010dnos\u0165 Adswere. V\u010faka opensource, ktor\u00fd bezplatne poskytla svetu, si m\u00f4\u017eete ve\u013emi jednoducho vytvori\u0165 4 z\u00e1kladn\u00e9 tabu\u013eky: events, event_params, items a user_properties. Takto transformovan\u00e9 d\u00e1ta m\u00f4\u017eete pou\u017e\u00edva\u0165 na va\u0161e vlastn\u00e9 anal\u00fdzy. Ver\u00edme, \u017ee v\u00e1m tento n\u00e1stroj u\u013eah\u010d\u00ed pr\u00e1cu s BigQuery a u\u0161etr\u00ed desiatky hod\u00edn googlenia.<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/adswerve.com\/blog\/unnest-your-bigquery-google-analytics-4-data-with-adswerves-new-open-source-tool\" target=\"_blank\" rel=\"noopener noreferrer\">Adswerve<\/a><\/p>\n<h2>Najv\u00e4\u010d\u0161ia CTR anal\u00fdza v\u0161etk\u00fdch \u010dias<\/h2>\n<p>Predstavte si 750.000.000.000 zobrazen\u00ed a 30.000.000.000 kliknut\u00ed na Googli. Z toho by sa u\u017e dalo nie\u010do vy\u010d\u00edta\u0165, nemysl\u00edte? Spolo\u010dnos\u0165 seoClarity prin\u00e1\u0161a rozsiahlu <a href=\"https:\/\/www.dase-analytics.com\/blog\/sk\/vyraz\/ctr-click-through-rate\/\">CTR<\/a> anal\u00fdzu, kde si viete pozrie\u0165 ak\u00e1 je miera prekliku naprie\u010d zariadeniami, krajinami, ak\u00fd vplyv m\u00e1 sez\u00f3nnos\u0165, \u010di ako sa l\u00ed\u0161i CTR od zamerania webu. Ak sa pozer\u00e1te na svoje d\u00e1ta v Serach Console a neviete, \u010di sa m\u00e1te smia\u0165, alebo plaka\u0165, t\u00e1to anal\u00fdza v\u00e1m ur\u010dite na\u0161epk\u00e1.<\/p>\n<p style=\"text-align: right;\">Viac na: <a href=\"https:\/\/www.seoclarity.net\/mobile-desktop-ctr-study-11302\/\" target=\"_blank\" rel=\"noopener noreferrer\">seoClarity\u00a0<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Inovovan\u00fd Channel Grouping v Google Analytics 4 Mo\u017eno ste si aj vy v\u0161imli, \u017ee v novej GA4 spadalo&#8230;<\/p>\n","protected":false},"author":70,"featured_media":18043,"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\/18038"}],"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=18038"}],"version-history":[{"count":7,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/18038\/revisions"}],"predecessor-version":[{"id":18048,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/18038\/revisions\/18048"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/18043"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=18038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=18038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=18038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}