{"id":17424,"date":"2021-04-20T08:26:54","date_gmt":"2021-04-20T06:26:54","guid":{"rendered":"https:\/\/www.dase-analytics.com\/blog\/?p=17424\/"},"modified":"2021-06-22T16:28:02","modified_gmt":"2021-06-22T14:28:02","slug":"zdroje-navstev-na-webe-rozumiete-im-spravne","status":"publish","type":"post","link":"https:\/\/www.dase-analytics.com\/blog\/sk\/zdroje-navstev-na-webe-rozumiete-im-spravne\/","title":{"rendered":"Zdroje n\u00e1v\u0161tev na webe. Rozumiete im spr\u00e1vne? [+infografika]"},"content":{"rendered":"

Ka\u017ed\u00fd u\u017e\u00edvate\u013e m\u00e1 po otvoren\u00ed prehliada\u010da in\u00fd rutinu. Niekto po vyh\u013eadan\u00ed k\u013e\u00fa\u010dov\u00e9ho slova klikne na prv\u00fd odkaz, in\u00fd vyp\u00ed\u0161e adresu soci\u00e1lnej siete, stla\u010d\u00ed enter a listuje, alebo sa len preklikne na nov\u00fd \u010dl\u00e1nok cez odkaz v roz\u010d\u00edtanom texte. Ka\u017ed\u00e1 n\u00e1v\u0161teva v\u00e1\u0161ho webu tak m\u00e1 svoj zdroj, \u010do v\u00e1m pom\u00e1ha lep\u0161ie analyzova\u0165 spr\u00e1vanie n\u00e1v\u0161tevn\u00edkov.<\/span><\/p>\n

Ako funguje zoskupenie kan\u00e1lov?<\/h2>\n

V\u00a0Google Analytics naz\u00fdvame v\u0161etky reklamn\u00e9 kampane, vyh\u013ead\u00e1va\u010de, soci\u00e1lne siete a\u00a0in\u00e9 zdroje, ktor\u00e9 priv\u00e1dzaj\u00fa u\u017e\u00edvate\u013eov na str\u00e1nku kolekt\u00edvnym pojmom \u201eZdroj n\u00e1v\u0161tevy<\/a>\u201c alebo \u201eZdroj kampane\u201c. Sp\u00f4sob, ktor\u00fdm sa prira\u010fuj\u00fa zdroje n\u00e1v\u0161tev a\u00a0kampan\u00ed, a\u00a0n\u00e1sledne sa posielaj\u00fa do Analytics prebieha v\u00a0nieko\u013ek\u00fdch krokoch.\u00a0<\/span><\/p>\n

Prv\u00fdm je zbieranie inform\u00e1cii, ktor\u00e9 s\u00fa s\u00fa\u010das\u0165ou komunik\u00e1cie medzi prehliada\u010dom a\u00a0serverom. V\u017edy, ke\u010f zad\u00e1te webov\u00fa adresu do prehliada\u010da, vytvor\u00edte po\u017eiadavku na server.\u00a0 Tento ju spracuje a\u00a0odo\u0161le nasp\u00e4\u0165 po\u017eadovan\u00fd s\u00fabor inform\u00e1ci\u00ed, s\u00a0ktor\u00fdmi v\u00e1\u0161 prehliada\u010d \u010falej pracuje. S\u00fa\u010das\u0165ou ka\u017edej takejto po\u017eiadavky je aj zdroj<\/strong>, ang. ozna\u010dovan\u00fd ako \u201ereferrer<\/a>\u201c alebo \u201ereferer\u201c, z\u00a0ktor\u00e9ho po\u017eiadavka pri\u0161la. Ten nadob\u00fada hodnoty pod\u013ea predo\u0161lej aktivity pou\u017e\u00edvate\u013ea.\u00a0<\/span><\/p>\n

\"zdroje<\/a><\/p>\n

Druh\u00fd krok je spracovanie zdroja n\u00e1v\u0161tevy<\/strong> alebo uveden\u00fdch hodn\u00f4t do dimenzii, ktor\u00e9 s\u00fa potom spojen\u00e9 s\u00a0konkr\u00e9tnou rel\u00e1ciou na str\u00e1nke. Tento proces dodr\u017eiava celkom zauj\u00edmav\u00fd logick\u00fd postup, v\u00a0ktorom sa postupne kontroluj\u00fa vyplnen\u00e9 alebo pr\u00e1zdne polia a\u00a0n\u00e1sledne sa inform\u00e1cie sprac\u00favaj\u00fa pod\u013ea v\u00fdsledku \u010falej.<\/span><\/p>\n

Zoskupenie kan\u00e1lov – infografika<\/h2>\n

\"infografika<\/a><\/p>\n

Posledn\u00fd krok je zatriedenie z\u00edskan\u00fdch dimenzii do reportov v Google Analytics. V rozdelen\u00ed sa Analytics riadi predvolen\u00fdm nastaven\u00edm zdrojov n\u00e1v\u0161tev alebo va\u0161im <\/span>zoskupen\u00edm kan\u00e1lov<\/span><\/a>. Napr\u00edklad tak m\u00f4\u017eete roz\u0161\u00edri\u0165 zoznam vyh\u013ead\u00e1va\u010dov, ktor\u00e9 ozna\u010dujeme ako organick\u00fd zdroj n\u00e1v\u0161tev alebo m\u00f4\u017eete aj v\u0161eobecne vyl\u00fa\u010di\u0165 niektor\u00e9 zdroje a\u00a0k\u013e\u00fa\u010dov\u00e9 slov\u00e1 zo spracovania v\u00a0analytics.\u00a0<\/span><\/p>\n

\u0160tandardn\u00e9 zdroje n\u00e1v\u0161tev v Default Channel Grouping<\/h2>\n

Direct<\/span><\/h3>\n

Ozna\u010duje n\u00e1v\u0161tevy, ktor\u00e9 pri\u0161li z\u00a0priameho zdroja na va\u0161u str\u00e1nku. To znamen\u00e1, \u017ee priamo nap\u00edsali adresu do prehliada\u010da alebo klikli na z\u00e1lo\u017eku, pr\u00edpadne dostali link na konkr\u00e9tnu str\u00e1nku. Zdroj je v takom pr\u00edpade ozna\u010den\u00fd ako Direct a\u00a0Medium<\/a> ako (not set) alebo (none).<\/span><\/p>\n

Organic<\/span><\/h3>\n

Sp\u00e1ja do jedn\u00e9ho kan\u00e1lu, v\u0161etky n\u00e1v\u0161tevy, ktor\u00e9 pri\u0161li z\u00a0organick\u00e9ho<\/a> (neplaten\u00e9ho) vyh\u013ead\u00e1vania na\u00a0 Google, Bing alebo DuckDuckGo.. Zdroj je potom n\u00e1zov pou\u017eit\u00e9ho vyh\u013ead\u00e1va\u010da a\u00a0Medium je ozna\u010den\u00e9 ako Organic.<\/span><\/p>\n

Social<\/span><\/h3>\n

Zaznamen\u00e1va v\u0161etky n\u00e1v\u0161tevy, ktor\u00e9 prich\u00e1dzaj\u00fa zo soci\u00e1lnych sieti a vlastnos\u0165 Medium je ozna\u010den\u00e1 ako Referral alebo s\u00fahas\u00ed s regexom ^(social|social-network|social-media|sm|social network|social media)$.<\/span><\/p>\n

Email<\/span><\/h3>\n

Sp\u00e1ja v\u0161etky zdroje n\u00e1v\u0161tev, ktor\u00e9 pou\u017eili Medium email. Tak\u017ee zdrojom n\u00e1v\u0161tev m\u00f4\u017eu by\u0165 kampane, newslettre alebo aj adresa v\u00a0spr\u00e1ve pokia\u013e m\u00e1 UTM parameter Medium ozna\u010den\u00fd ako email.<\/span><\/p>\n

Affiliates<\/span><\/h3>\n

Sem sa zara\u010fuj\u00fa v\u0161etky linky smeruj\u00face na konkr\u00e9tnu adresu z\u00a0in\u00fdch str\u00e1nok, ktor\u00e9 maj\u00fa vlastnos\u0165 Medium ozna\u010den\u00fa ako Affiliate, teda ako link odkazuj\u00faci na spriaznen\u00fa adresu so str\u00e1nkou, na ktorej sa n\u00e1v\u0161tevn\u00edk nach\u00e1dzal.<\/span><\/p>\n

Referral<\/span><\/h3>\n

Do kateg\u00f3rie Referral<\/a> sa teoreticky zara\u010fuj\u00fa v\u0161etky n\u00e1v\u0161tevy prich\u00e1dzaj\u00face z in\u00fdch adries, okrem vyh\u013ead\u00e1va\u010dov. Vlastnos\u0165 Medium je v\u00a0takom pr\u00edpade ozna\u010den\u00e1 ako Referral, teda ako link odkazuj\u00faci na konkr\u00e9tnu adresu.<\/span><\/p>\n

Paid Search<\/span><\/h3>\n

Sp\u00e1ja v\u0161etky n\u00e1v\u0161tevy, ktor\u00e9 vznikli v\u010faka reklamn\u00fdm kampaniam vo vyh\u013ead\u00e1van\u00ed. Parameter Medium zodpoved\u00e1 regexu ^(cpc|ppc|paidsearch)$ a\u00a0vlastnos\u0165 \u201cCampaign Conten<\/span>t<\/span>\u201d neobsahuje v\u00fdraz Ad Distribution Network.<\/span><\/p>\n

Other Advertising<\/span><\/h3>\n

Sp\u00e1ja v\u0161etky n\u00e1v\u0161tevy z\u00a0r\u00f4znych zdrojov, ktor\u00e9 maj\u00fa parameter Medium prisp\u00f4soben\u00fd pou\u017e\u00edvate\u013eom alebo sa zhoduje s regexom ^(cpv|cpa|cpp|content-text)$, pr\u00edpadne ch\u00fdba ozna\u010denie kampane (not set).<\/span><\/p>\n

Display<\/span><\/h3>\n

Ozna\u010duje v\u0161etky n\u00e1v\u0161tevy, ktor\u00e9 vznikli v\u010faka vizu\u00e1lnemu zobrazeniu, ako s\u00fa pou\u017eit\u00e9 obr\u00e1zky vo vyh\u013ead\u00e1van\u00ed, impresie alebo bannery na str\u00e1nkach. Parameter Medium m\u00e1 zhodu v regexe ^(display|cpm|banner)$ alebo parameter Content presne obsahuje v\u00fdraz Ad Distribution Network.<\/span><\/p>\n

(unavailable) or (other)<\/span><\/h3>\n

Kan\u00e1l sp\u00e1ja v\u0161etky rel\u00e1cie, ktor\u00e9 nesp\u013a\u0148aj\u00fa ani jednu zo \u0161tandardn\u00fdch defin\u00edcii.<\/span><\/p>\n

Pevne ver\u00edm, \u017ee v\u00e1m tento preh\u013ead pomohol zorientova\u0165 sa v rozdelen\u00ed kan\u00e1lov v r\u00e1mci Channel Groupingu. Ak by ste mali ak\u00e9ko\u013evek ot\u00e1zky, \u010di pripomienky, nap\u00ed\u0161te mi dole do koment\u00e1rov.<\/p>\n","protected":false},"excerpt":{"rendered":"

Ka\u017ed\u00fd u\u017e\u00edvate\u013e m\u00e1 po otvoren\u00ed prehliada\u010da in\u00fd rutinu. Niekto po vyh\u013eadan\u00ed k\u013e\u00fa\u010dov\u00e9ho slova klikne na prv\u00fd odkaz, in\u00fd…<\/p>\n","protected":false},"author":71,"featured_media":17428,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[637],"tags":[778],"_links":{"self":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/17424"}],"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=17424"}],"version-history":[{"count":8,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/17424\/revisions"}],"predecessor-version":[{"id":17706,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/posts\/17424\/revisions\/17706"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media\/17428"}],"wp:attachment":[{"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/media?parent=17424"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/categories?post=17424"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dase-analytics.com\/blog\/sk\/wp-json\/wp\/v2\/tags?post=17424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}