{"id":2890,"date":"2020-08-24T09:47:22","date_gmt":"2020-08-24T07:47:22","guid":{"rendered":"https:\/\/www.marketingmapy.com\/?post_type=navody&p=2890"},"modified":"2020-08-24T09:49:31","modified_gmt":"2020-08-24T07:49:31","slug":"metodika","status":"publish","type":"navody","link":"https:\/\/www.marketingmapy.com\/cs\/metodika\/","title":{"rendered":"N\u00e1zvoslov\u00ed v N\u00e1stroji"},"content":{"rendered":"

\"Struktura<\/p>\n

N\u00e1zvoslov\u00ed v marketingov\u00fdch map\u00e1ch<\/h2>\n
    \n
  1. Mapa: Seznam \u00fakol\u016f (SEO mapa, SEO seznam \u00fakol\u016f)<\/li>\n
  2. Oblast (Indexovatelnost webu)<\/li>\n
  3. T\u00e9ma (Robots.txt a noindex)<\/li>\n
  4. Skupina \u00fakol\u016f (Nasazen\u00ed Robots.txt)<\/li>\n
  5. \u00dakol (Existence robots.txt pro hlavn\u00ed dom\u00e9nu)<\/li>\n
  6. Zralost (1 – Nahodil\u00e1)<\/li>\n
  7. \u010casov\u00e1 n\u00e1ro\u010dnost (1 – n\u00edzk\u00e1)<\/li>\n
  8. P\u0159\u00ednosnost (2 – st\u0159edn\u00ed)<\/li>\n<\/ol>\n

    \"\"<\/p>\n

    Mapa<\/h2>\n

    Mapou je my\u0161len makretingov\u00fd kan\u00e1l. Nap\u0159\u00edklad SEO Mapa, PPC mapa.<\/p>\n

    Sou\u010dasn\u011b existuje i Obrazovka Mapy. Ta pak ukazuje zralost projektu v dan\u00e9m marketingov\u00e9m kan\u00e1lu. Viz n\u00e1vod pro Obrazovku Mapy.<\/a><\/p>\n

    Seznam \u00fakol\u016f<\/h2>\n

    Seznam \u00fakol\u016f obsahuje konkr\u00e9tn\u00ed \u00fakoly (\u0159\u00e1dov\u011b stovky) z jednoho marketingov\u00e9ho kan\u00e1lu (PPC, SEO). \u00dakoly jsou zat\u0159\u00edzeny v Oblastech T\u00e9matech a Skupin\u00e1ch \u00fakol\u016f. \u00dakoly maj\u00ed vlastn\u00ed atributy (Zralost, \u010casov\u00e1 n\u00e1ro\u010dnost, P\u0159\u00ednosnost v\u016f\u010di KPI).<\/p>\n

    N\u00e1vod pro obrazovku Seznam \u00fakol\u016f.<\/a><\/p>\n

    Oblast<\/h2>\n

    \u00dakoly jsou za\u0159azeny do hlavn\u00edch oblast\u00ed. V seznamu \u00fakol\u016f b\u00fdv\u00e1 5-10 oblast\u00ed.<\/p>\n

    T\u00e9ma<\/h2>\n

    T\u00e9mata d\u00e1le rozdrobuj\u00ed Oblasti na men\u0161\u00ed \u010d\u00e1sti. T\u00e9mat b\u00fdv\u00e1 obvykle v Oblasti 2-5 a celkem 20-40 v cel\u00e9m Seznamu \u00fakol\u016f.<\/p>\n

    Skupina \u00fakol\u016f<\/h2>\n

    Skupina \u00fakolu sdru\u017euje sob\u011b velmi bl\u00edzk\u00e9 \u00fakoly, ze stejn\u00e9 Oblasti, T\u00e9matu a sou\u010dasn\u00e9 i Zralosti.<\/p>\n

    \u00dakol<\/h2>\n

    Konkr\u00e9tn\u00ed \u00fakol, kter\u00fd je m\u00e1 sv\u016fj popis a sv\u00e9 atributy.
    \nS \u00fakolem lze d\u00e1le pracovat p\u0159i\u0159azen\u00edm stavu.<\/p>\n

    Atributy \u00fakol\u016f<\/h2>\n

    Zralosti<\/h3>\n

    V\u00fdznamnou hodnotou je roz\u0159azen\u00ed \u00fakol\u016f nejen dle t\u00e9mat, ale i dle \u201czralosti\u201d. Pou\u017e\u00edv\u00e1me\u00a06 stup\u0148\u016f zralosti.\u00a0Zralost \u0159\u00edk\u00e1, \u017ee dan\u00fd \u00fakol se m\u016f\u017ee \u0159e\u0161it a\u017e tehdy, kdy jsou vy\u0159e\u0161eny \u00fakoly p\u0159ed n\u00edm. A to ide\u00e1ln\u011b nejen \u00fakoly ze stejn\u00e9ho t\u00e9matu, ale ostatn\u00edch t\u00e9mat. V\u00edce o zralostech v samostatn\u00e9m \u010dl\u00e1nku.<\/a><\/p>\n

    \n\n\n\n\n\n\n\n\n\n
    Zralost<\/b><\/td>\n<\/tr>\n
    1 Nahodil\u00e1<\/td>\n<\/tr>\n
    2 Z\u00e1kladn\u00ed<\/td>\n<\/tr>\n
    3 \u00a0Zaveden\u00e1<\/td>\n<\/tr>\n
    4 Pokro\u010dil\u00e1<\/td>\n<\/tr>\n
    5 Komplexn\u00ed<\/td>\n<\/tr>\n
    6 Vz\u00e1cn\u00e1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

    Ur\u010den\u00ed \u010dasov\u00e9 N\u00c1RO\u010cNOSTI<\/h3>\n

    N\u00e1ro\u010dnost\u00ed se nerozum\u00ed \u201c\u00farove\u0148 znalost\u00ed \u010di odbornosti\u201d, ale skute\u010dn\u00fd \u010das, kter\u00fd bude odveden.
    \nDo \u010dasov\u00e9 n\u00e1ro\u010dnosti se po\u010d\u00edt\u00e1 \u010das v\u0161ech z\u00fa\u010dastn\u011bn\u00fdch osob na vy\u0159e\u0161en\u00ed \u00fakolu (marke\u0165\u00e1k, program\u00e1tor, copywriter, kod\u00e9r, grafik, analytik \u2026)<\/p>\n

    \n\n\n\n\n\n\n
    N\u00e1ro\u010dnost<\/td>\nPopis<\/td>\n<\/tr>\n
    1<\/td>\nJednotky hodin pr\u00e1ce v\u0161ech<\/td>\n<\/tr>\n
    2<\/td>\nMaxim\u00e1ln\u011b jeden den pr\u00e1ce v\u0161ech<\/td>\n<\/tr>\n
    3<\/td>\nV\u00edce ne\u017e jeden den pr\u00e1ce<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

    Ur\u010den\u00ed p\u0159\u00ednos\u016f v\u016f\u010di KPI<\/h3>\n

    Jde o p\u0159\u00ednos v\u016f\u010di dosa\u017een\u00ed KPI, ke kter\u00e9mu dan\u00fd \u00fakol sm\u011b\u0159uje. By\u0165 KPI nen\u00ed ur\u010deno.<\/p>\n

    \n\n\n\n\n\n\n
    P\u0159\u00ednos<\/td>\nPopis<\/td>\n<\/tr>\n
    1<\/td>\nN\u00edzk\u00fd p\u0159\u00ednos, p\u0159\u00edpadn\u00e9 \u017e\u00e1dn\u00fd p\u0159\u00ednos na KPI<\/td>\n<\/tr>\n
    2<\/td>\nV\u00fdznamn\u00fd p\u0159\u00ednos<\/td>\n<\/tr>\n
    3<\/td>\nNejvy\u0161\u0161\u00ed p\u0159\u00ednos a tedy nejvy\u0161\u0161\u00ed vliv na dosa\u017een\u00ed KPI<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

    Stavy \u00fakol\u016f<\/h2>\n
    \n\n\n\n\n\n\n\n\n\n\n
    Stavy<\/td>\nPopis<\/td>\n<\/tr>\n
    Neza\u0159azeno<\/td>\n\u00dakol je v z\u00e1kladn\u00edm stavu. U\u017eivatel o n\u011bm nijak nerozhodl.<\/td>\n<\/tr>\n
    Nerelevantn\u00ed<\/td>\nU\u017eivatel rozhodl, \u017ee pro jeho projekt je dan\u00fd \u00fakol nerelevantn\u00ed a nem\u00e1 ho d\u00e1le \u0159e\u0161it.<\/td>\n<\/tr>\n
    Relevantn\u00ed<\/td>\nU\u017eivatel rozhodl, \u017ee \u00fakol je t\u0159eba \u0159e\u0161it.<\/td>\n<\/tr>\n
    V ak\u010dn\u00edm pl\u00e1nu<\/td>\nU\u017eivatel si \u00fakol chce zobrazit mezi \u00fakoly v ak\u010dn\u00edm pl\u00e1nu. Tedy bude se jim prioritn\u011b v\u011bnovat.<\/td>\n<\/tr>\n
    Hotov\u00fd<\/td>\nOzna\u010den jako hotov\u00fd \u00fakol. Sou\u010dasn\u011b mus\u00ed b\u00fdt \u00fakol ozna\u010den i jako relevantn\u00ed.<\/td>\n<\/tr>\n
    S hv\u011bzdi\u010dkou v ak\u010dn\u00edm pl\u00e1nu<\/td>\nU\u017eivatel v Ak\u010dn\u00edm pl\u00e1nu p\u0159ed\u0159adil \u00fakoly p\u0159ed ostatn\u00ed \u00fakoly v ak\u010dn\u00edm pl\u00e1nu<\/td>\n<\/tr>\n
    Hotov\u00fd v ak\u010dn\u00edm pl\u00e1nu<\/td>\nU\u017eivatel chce v Ak\u010dn\u00edm pl\u00e1nu evidovat, kter\u00e9 \u00fakoly vy\u0159e\u0161il v posledn\u00ed dob\u011b.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"author":1,"featured_media":1419,"menu_order":0,"template":"","kategorienavodu":[33],"class_list":["post-2890","navody","type-navody","status-publish","has-post-thumbnail","hentry","kategorienavodu-navody-k-obrazovkam"],"acf":[],"yoast_head":"\nN\u00e1zvoslov\u00ed v N\u00e1stroji - Marketing Mapy<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketingmapy.com\/cs\/metodika\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"N\u00e1zvoslov\u00ed v N\u00e1stroji - Marketing Mapy\" \/>\n<meta property=\"og:description\" content=\"N\u00e1zvoslov\u00ed v marketingov\u00fdch map\u00e1ch Mapa: Seznam \u00fakol\u016f (SEO mapa, SEO seznam \u00fakol\u016f) Oblast (Indexovatelnost webu) T\u00e9ma (Robots.txt a noindex) Skupina \u00fakol\u016f (Nasazen\u00ed Robots.txt) \u00dakol (Existence robots.txt pro hlavn\u00ed dom\u00e9nu) Zralost (1 – Nahodil\u00e1) \u010casov\u00e1 n\u00e1ro\u010dnost (1 – n\u00edzk\u00e1) P\u0159\u00ednosnost (2 – st\u0159edn\u00ed) Mapa Mapou je my\u0161len makretingov\u00fd kan\u00e1l. 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