{"id":8557,"date":"2020-08-11T09:41:50","date_gmt":"2020-08-11T07:41:50","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/de\/?p=8557"},"modified":"2023-08-30T11:36:57","modified_gmt":"2023-08-30T09:36:57","slug":"standortanalyse-im-handel","status":"publish","type":"post","link":"https:\/\/www.mbi-geodata.com\/de\/2020\/08\/11\/standortanalyse-im-handel\/","title":{"rendered":"STANDORTANALYSE IM HANDEL"},"content":{"rendered":"<h2><a href=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1.jpg\"><img decoding=\"async\" class=\"alignnone size-large wp-image-8565\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-1024x773.jpg\" alt=\"Karte zu Retail Focus Areas\" width=\"698\" height=\"527\" srcset=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-1024x773.jpg 1024w, https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-300x227.jpg 300w, https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-768x580.jpg 768w, https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-1536x1160.jpg 1536w, https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-88x66.jpg 88w, https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1.jpg 1539w\" sizes=\"(max-width: 698px) 100vw, 698px\" \/><\/a><\/h2>\n<h2 class=\"sociodemographics\">EINZUGSGEBIETSANALYSE \u2013 KUNDENANALYSE \u2013 WETTBEWERBSANALYSE \u2013 CUSTOMER JOURNEY<\/h2>\n<p>Die Daten Global Retail Focus Areas erm\u00f6glichen Ihnen eine Analyse Ihrer Filialen und Wettbewerbsfilialen oder Points of Sale auf Basis mobiler Geodaten f\u00fcr die meisten L\u00e4nder weltweit.<\/p>\n<p>Sie k\u00f6nnen Besucher bestimmter Filialen oder Points of Sale (z.B. Gesch\u00e4fte, Einkaufscenter\/-zonen) identifizieren und deren Bewegungsmuster bzw. Aufenthaltsorte \u00fcber einen l\u00e4ngeren Zeitraum hinweg transparent machen.<\/p>\n<p>Die Karte zeigt das Beispiel einer <strong>EINZUGSGEBIETSBERECHNUNG<\/strong> f\u00fcr einen Einzelh\u00e4ndler in Wiesbaden. Der schwarze Pin im blau eingef\u00e4rbten Bereich stellt das angenommene Einzugsgebiet des Einzelh\u00e4ndlers dar. Sein tats\u00e4chliches Einzugsgebiet stellen die farbigen Rechtecke dar, die mit MBI\u2019s Daten auf Grundlage mobiler Geodaten ermittelt wurden. Die roten Pins zeigen die <strong>WETTBEWERBER<\/strong>, wobei der gr\u00f6\u00dfte rote Pin der am h\u00e4ufigsten besuchte Wettbewerber und damit der regionale Champion ist. Da im Einzelhandel der Kunde im Fokus steht, sind eine detaillierte <strong>ANALYSE DES KUNDENVERHALTENS <\/strong>und der <strong>CUSTOMER JOURNEY<\/strong> ein entscheidender Wettbewerbsvorteil.<\/p>\n<p>Auf Grundlage der Global Retail Focus Areas wurden schon viele Datenprodukte erstellt und die Beantwortung zahlreicher Fragestellungen ist m\u00f6glich.<\/p>\n<p>Wir freuen uns \u00fcber Ihre individuelle Anfrage! 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Sie k\u00f6nnen Besucher bestimmter Filialen oder Points of Sale (z.B. Gesch\u00e4fte, Einkaufscenter\/-zonen) identifizieren und deren Bewegungsmuster bzw. Aufenthaltsorte \u00fcber einen l\u00e4ngeren Zeitraum hinweg transparent machen. Die Karte zeigt das Beispiel einer EINZUGSGEBIETSBERECHNUNG f\u00fcr einen Einzelh\u00e4ndler in Wiesbaden. Der schwarze Pin im blau eingef\u00e4rbten Bereich stellt das angenommene Einzugsgebiet des Einzelh\u00e4ndlers dar. Sein tats\u00e4chliches Einzugsgebiet stellen die farbigen Rechtecke dar, die mit MBI\u2019s Daten auf Grundlage&hellip;<\/p>\n","category_list":"<a href=\"https:\/\/www.mbi-geodata.com\/de\/category\/bewegungsdaten\/\" rel=\"category tag\">Bewegungsdaten<\/a>, <a href=\"https:\/\/www.mbi-geodata.com\/de\/category\/news\/\" rel=\"category tag\">News<\/a>","author_info":{"name":"robertsyork","url":"https:\/\/www.mbi-geodata.com\/de\/author\/robertsyork\/"},"comments_num":"0 comments","featured_image_urls_v2":{"full":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1.jpg",1539,1162,false],"thumbnail":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-150x150.jpg",150,150,true],"medium":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-300x227.jpg",300,227,true],"medium_large":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-768x580.jpg",698,527,true],"large":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-1024x773.jpg",698,527,true],"1536x1536":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-1536x1160.jpg",1536,1160,true],"2048x2048":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1.jpg",1539,1162,false],"mini":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-88x66.jpg",88,66,true],"post-thumbnail":["https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2020\/08\/Retail-Focus-Areas-deutsch-1-125x125.jpg",125,125,true]},"post_excerpt_stackable_v2":"<p>EINZUGSGEBIETSANALYSE \u2013 KUNDENANALYSE \u2013 WETTBEWERBSANALYSE \u2013 CUSTOMER JOURNEY Die Daten Global Retail Focus Areas erm\u00f6glichen Ihnen eine Analyse Ihrer Filialen und Wettbewerbsfilialen oder Points of Sale auf Basis mobiler Geodaten f\u00fcr die meisten L\u00e4nder weltweit. Sie k\u00f6nnen Besucher bestimmter Filialen oder Points of Sale (z.B. Gesch\u00e4fte, Einkaufscenter\/-zonen) identifizieren und deren Bewegungsmuster bzw. Aufenthaltsorte \u00fcber einen l\u00e4ngeren Zeitraum hinweg transparent machen. Die Karte zeigt das Beispiel einer EINZUGSGEBIETSBERECHNUNG f\u00fcr einen Einzelh\u00e4ndler in Wiesbaden. Der schwarze Pin im blau eingef\u00e4rbten Bereich stellt das angenommene Einzugsgebiet des Einzelh\u00e4ndlers dar. Sein tats\u00e4chliches Einzugsgebiet stellen die farbigen Rechtecke dar, die mit MBI\u2019s Daten auf Grundlage&hellip;<\/p>\n","category_list_v2":"<a href=\"https:\/\/www.mbi-geodata.com\/de\/category\/bewegungsdaten\/\" rel=\"category tag\">Bewegungsdaten<\/a>, <a href=\"https:\/\/www.mbi-geodata.com\/de\/category\/news\/\" rel=\"category tag\">News<\/a>","author_info_v2":{"name":"robertsyork","url":"https:\/\/www.mbi-geodata.com\/de\/author\/robertsyork\/"},"comments_num_v2":"0 comments","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Standortanalyse im Handel auf Basis mobiler Geodaten<\/title>\n<meta name=\"description\" content=\"Die Daten Global Retail Focus Areas erm\u00f6glichen Ihnen eine Analyse Ihrer Filialen und Wettbewerbsfilialen oder Points of Sale auf Basis mobiler Geodaten f\u00fcr die meisten L\u00e4nder weltweit.\" \/>\n<meta name=\"robots\" content=\"index, follow, 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