{"id":19311,"date":"2023-05-02T12:36:17","date_gmt":"2023-05-02T10:36:17","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=19311\/"},"modified":"2023-05-02T12:36:17","modified_gmt":"2023-05-02T10:36:17","slug":"analytics-news-april-2023","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/analytics-news-april-2023\/","title":{"rendered":"V\u00fdber t\u00fdch najd\u00f4le\u017eitej\u0161\u00edch noviniek v analytike"},"content":{"rendered":"

\u0160tyri atribu\u010dn\u00e9 modely v Google Ads a v Google Analytics kon\u010dia. T\u00fdka sa to aj v\u00e1s?<\/h2>\n

First-click, linear, time decay, position-based – tieto 4 atribu\u010dn\u00e9 modely spolo\u010dnos\u0165 Google \u010doskoro zru\u0161\u00ed v slu\u017eb\u00e1ch Google Ads a Google Analytics. Stane sa tak u\u017e v m\u00e1ji v pr\u00edpade Google Analytics a v j\u00fani v Google Ads. Google tvrd\u00ed, \u017ee uveden\u00e9 modely pou\u017e\u00edva len 3% inzerentov v slu\u017ebe Google Ads a je pre nich nerentabiln\u00e9 ich na\u010falej udr\u017eiava\u0165. Google z\u00e1rove\u0148 pripom\u00edna, \u017ee pou\u017e\u00edvan\u00edm data-driven atribu\u010dn\u00e9ho modelu sa zv\u00fd\u0161i v\u00fdkonnos\u0165 rekl\u00e1m a\u017e o 6%.<\/p>\n

Inzerenti v Google Ads a pou\u017e\u00edvatelia Google Analytics nemusia vykona\u0165 \u017eiadnu akciu, atribu\u010dn\u00fd model bude zmenen\u00fd na data-driven model<\/strong> automaticky. Ak v\u00e1m z nejak\u00e9ho d\u00f4vodu data-driven model nevyhovuje, m\u00f4\u017eete vyu\u017ei\u0165 niektor\u00fd zo zvy\u0161n\u00fdch 2 atribu\u010dn\u00fdch modelov, ktor\u00e9 v slu\u017eb\u00e1ch ost\u00e1vaj\u00fa: last click a ads-preferred last click. Ak v\u00e1s t\u00e9ma atrib\u00facie zauj\u00edma viac, odpor\u00fa\u010dam \u010dl\u00e1nok na na\u0161om blogu \u00davod do atrib\u00facie v Google Analytics 4 (UA vs. GA4)<\/a>.<\/p>\n

Viac na: Search Engine Land<\/a><\/p>\n

Nov\u00e1 met\u00f3da po\u010d\u00edtania konverzi\u00ed v Google Analytics 4 – raz za rel\u00e1ciu<\/h2>\n

Ak ste aj vy s nostalgiou spom\u00ednali na ciele v Universal Analytics, m\u00e1me pre v\u00e1s dobr\u00fa spr\u00e1vu. U\u017e viac nemus\u00edte p\u00edsa\u0165 zlo\u017eit\u00e9 queries v BigQuery, aby ste zistili jedine\u010dn\u00fd po\u010det konverzi\u00ed, v Google Analytics 4 si odteraz budete m\u00f4c\u0165 vybra\u0165, \u010di sa konverzn\u00fd event m\u00f4\u017ee vykona\u0165 raz za rel\u00e1ciu, alebo opakovane, teda raz za udalos\u0165.<\/p>\n

\"po\u010d\u00edtanie<\/p>\n

Zmeni\u0165 met\u00f3du po\u010d\u00edtania konverzi\u00ed m\u00f4\u017eete ve\u013emi jednoducho v Admin sekcii pre ka\u017ed\u00fd konverzn\u00fd event zvl\u00e1\u0161\u0165, konkr\u00e9tne v Admin > Conversions > Change counting method. Len pripom\u00edname, \u017ee zmena nem\u00e1 retroakt\u00edvny \u00fa\u010dinok.<\/p>\n

Viac na: Search Engine Journal\u00a0<\/a><\/p>\n

Nov\u00e9 funkcie aj mo\u017enosti vizualiz\u00e1ci\u00ed d\u00e1t v Looker Studiu<\/h2>\n

V apr\u00edli vy\u0161lo mno\u017estvo aktualiz\u00e1ci\u00ed pre Looker Studio, mnoh\u00e9 z nich si na\u0161li svoje miesto v srdciach analytikov prakticky ihne\u010f. Ich predstavenie by bolo na nieko\u013eko samostatn\u00fdch \u010dl\u00e1nkov, tak\u017ee spomeniem len v skratke tie, ktor\u00e9 n\u00e1s zaujali najviac:<\/p>\n

    \n
  1. Mo\u017enos\u0165 zoomovania niektor\u00fdch grafov<\/strong> – zauj\u00edma v\u00e1s len ur\u010dit\u00fd v\u00fdsek grafu, na ktor\u00fd sa chcete pozrie\u0165 detailnej\u0161ie? \u017diaden probl\u00e9m. Graf si odteraz prizoomujete ozna\u010den\u00edm oblasti grafu.<\/li>\n
  2. Nov\u00e9 mo\u017enosti vizualiz\u00e1ci\u00ed d\u00e1t v r\u00e1mci scorecards<\/strong> – okrem porovnania s minul\u00fdm obdob\u00edm si do scorecards viete prida\u0165 \u010dasov\u00fd v\u00fdvoj danej metriky, pr\u00edpadne plnenie cie\u013ea.<\/li>\n
  3. Naviga\u010dn\u00e9 tla\u010didl\u00e1<\/strong> – navig\u00e1cia medzi str\u00e1nkami priamo z reportu bola doteraz mo\u017en\u00e1 len cez r\u00f4zne hacky s vrstvami a priesvitnos\u0165ou prvkov. Odteraz je tomu koniec, Looker Studio umo\u017e\u0148uje pou\u017e\u00edva\u0165 u\u017e aj vstavan\u00e9 tla\u010didl\u00e1, a to nie len na navig\u00e1ciu, ale napr\u00edklad aj na zdie\u013eanie, \u010di stiahnutie reportu.<\/li>\n
  4. Sankey chart <\/strong>– nov\u00fd typ grafu v Looker Studiu, ktor\u00fd je mo\u017en\u00e9 vyu\u017ei\u0165 napr. na vizualiz\u00e1ciu toku n\u00e1v\u0161tevnosti.<\/li>\n<\/ol>\n

    \"novinky<\/p>\n

    Tak \u010do, u\u017e viete, kde a v ak\u00fdch dashboardoch tieto nov\u00e9 zobrazenia vyu\u017eijete? Pode\u013ete sa o va\u0161e n\u00e1pady dolu v koment\u00e1roch.<\/p>\n

    Viac na: Google Support (Zoom<\/a>, Scorecards<\/a>, Buttons<\/a>, Sankey chart<\/a>)<\/p>\n

    Google Marketing Live u\u017e 23. m\u00e1ja 2023<\/h2>\n

    Ak v\u00e1s novinky zo sveta analytiky a marketingu bavia tak ako n\u00e1s, ur\u010dite nevynechajte Google Marketing Live, form\u00e1t od Googlu, kde dostanete naserv\u00edrovan\u00e9 novinky z prvej ruky. V\u00fdro\u010dn\u00fd event sa uskuto\u010dn\u00ed u\u017e 23. m\u00e1ja 2023 o 9. hodine pacifick\u00e9ho \u010dasu, teda o 6. hodine ve\u010der n\u00e1\u0161ho \u010dasu. Vypo\u010dujete si k\u013e\u00fa\u010dov\u00e9 osobnosti z Googlu, ktor\u00e9 maj\u00fa na starosti v\u00fdvoj a smerovanie marketingov\u00fdch platforiem cel\u00e9ho Google ekosyst\u00e9mu.<\/p>\n

    Ak v\u00e1s tento event zaujal a radi by ste sa ho z\u00fa\u010dastnili online, je potrebn\u00e9 sa zaregistrova\u0165 na tejto str\u00e1nke<\/a>.<\/p>\n

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

    \u0160tyri atribu\u010dn\u00e9 modely v Google Ads a v Google Analytics kon\u010dia. T\u00fdka sa to aj v\u00e1s? First-click, linear,…<\/p>\n","protected":false},"author":70,"featured_media":19317,"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\/19311"}],"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=19311"}],"version-history":[{"count":2,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19311\/revisions"}],"predecessor-version":[{"id":19318,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/19311\/revisions\/19318"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/19317"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=19311"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=19311"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=19311"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}