{"id":1014,"date":"2009-06-03T07:38:00","date_gmt":"2009-06-03T07:38:00","guid":{"rendered":"http:\/\/hamilton.global\/index.php\/2009\/06\/03\/laddering-como-convertir-atributos-en-insights-de-consumidor\/"},"modified":"2025-12-02T09:50:32","modified_gmt":"2025-12-02T09:50:32","slug":"laddering-como-convertir-atributos-en-insights-de-consumidor","status":"publish","type":"post","link":"https:\/\/hamilton.global\/fr\/laddering-como-convertir-atributos-en-insights-de-consumidor\/","title":{"rendered":"Laddering, comment convertir les attributs en informations sur les consommateurs"},"content":{"rendered":"<p>Certaines m\u00e9thodologies ne sont pas suffisamment utilis\u00e9es malgr\u00e9 la forte valeur strat\u00e9gique qu\u2019elles g\u00e9n\u00e8rent. \u00c0 mi-chemin entre l\u2019analyse qualitative et l\u2019analyse quantitative se trouve l\u2019analyse de la cha\u00eene \u00ab moyens-fins \u00bb (que l\u2019on pourrait traduire par \u00ab significations et finalit\u00e9s \u00bb).<\/p>\n<p>La th\u00e9orie des \u00ab moyens et des fins \u00bb propose de repr\u00e9senter les liens existants entre un produit ou un service et un individu.<\/p>\n<p>Le terme \u00ab moyens \u00bb d\u00e9rive des attributs que ce produit et ce service g\u00e9n\u00e8rent aux cons\u00e9quences, positives ou n\u00e9gatives, associ\u00e9es \u00e0 son utilisation.<\/p>\n<p>Les \u00ab fins \u00bb sont les r\u00e9sultats des d\u00e9sirs d\u00e9riv\u00e9s des utilisateurs exprim\u00e9s dans leurs propres valeurs personnelles.<\/p>\n<p>La th\u00e9orie des \u00ab moyens et des fins \u00bb propose donc trois niveaux d\u2019abstraction de l\u2019information \u00e0 travers les pens\u00e9es des individus sur un produit ou un service :<\/p>\n<p>Niveau 1 \u00ab Attributs \u00bb (A), consistant \u00e0 d\u00e9finir de la mani\u00e8re la plus objective possible les caract\u00e9ristiques, les caract\u00e9ristiques physiques et les ingr\u00e9dients qui composent un produit. Utilis\u00e9s comme descripteurs purs du produit ou du service.<\/p>\n<p>Niveau 2 \u00ab Cons\u00e9quences \u00bb (C), le r\u00e9sultat ou l\u2019avantage de l\u2019utilisation de ce produit ou service. Il repr\u00e9sente ce que le produit \u00ab fait \u00bb pour l\u2019utilisateur,<\/p>\n<p>Niveau 3 \u00ab Valeurs \u00bb (V), la raison ultime ou v\u00e9ritable pour laquelle une personne utilise un produit ou un service, c\u2019est-\u00e0-dire comment ce produit peut aider \u00e0 atteindre les objectifs de vie d\u2019un individu.<\/p>\n<p>Comme nous le voyons, un classement LCA se d\u00e9roule du plus concret (attributs) au plus abstrait (valeurs), par cons\u00e9quent, la th\u00e9orie des \u00ab moyens et des fins \u00bb propose une enqu\u00eate o\u00f9 les gens montent \u00ab l\u2019\u00e9chelle de l\u2019abstraction \u00bb et donc montrent \u00e0 la fois les valeurs qui d\u00e9terminent r\u00e9ellement les pr\u00e9f\u00e9rences des individus.<\/p>\n<p>Cette m\u00e9thode \u00ab moyens-fin \u00bb repr\u00e9sente la base de la strat\u00e9gie de positionnement du produit ou du service et sert de base statistique pour trouver des \u00ab insights \u00bb consommateurs en transf\u00e9rant les attributs en valeurs comme essence ultime du choix du produit\/service.<\/p>\n<p>Les niveaux d&#039;abstraction peuvent \u00eatre d\u00e9termin\u00e9s \u00e0 partir de 6 cat\u00e9gories concr\u00e8tes (d\u00e9veloppement avanc\u00e9 des trois niveaux de base) :<\/p>\n<p><a href=\"http:\/\/1.bp.blogspot.com\/_QR59Narhi0I\/SiYpAB-cXEI\/AAAAAAAAACo\/arr_Ccoh83Q\/s1600-h\/6+levels+of+abstraction+image1.gif\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 277px;\" src=\"http:\/\/1.bp.blogspot.com\/_QR59Narhi0I\/SiYpAB-cXEI\/AAAAAAAAACo\/arr_Ccoh83Q\/s400\/6+levels+of+abstraction+image1.gif\" border=\"0\" alt=\"\"id=\"BLOGGER_PHOTO_ID_5343003088428751938\" \/><\/a><\/p>\n<p><a href=\"http:\/\/1.bp.blogspot.com\/_QR59Narhi0I\/SiYpMmjWwCI\/AAAAAAAAACw\/0KbyLO2HIjo\/s1600-h\/6+levels+of+abstraction+image2.gif\"><img decoding=\"async\" style=\"cursor:pointer; cursor:hand;width: 400px; height: 277px;\" src=\"http:\/\/1.bp.blogspot.com\/_QR59Narhi0I\/SiYpMmjWwCI\/AAAAAAAAACw\/0KbyLO2HIjo\/s400\/6+levels+of+abstraction+image2.gif\" border=\"0\" alt=\"\"id=\"BLOGGER_PHOTO_ID_5343003304405680162\" \/><\/a><\/p>\n<p>En pratique, il s\u2019agit d\u2019obtenir une \u00ab Carte Hi\u00e9rarchique des Valeurs \u00bb \u00e0 travers diff\u00e9rents entretiens (l\u2019\u00e9chantillon ne doit pas d\u00e9passer 50) pour d\u00e9terminer une \u00ab cartographie \u00bb des attributs, des cons\u00e9quences et des valeurs qui m\u00e8ne au niveau relationnel du consommateur avec le produit . \/marque. <\/p>\n<p>Cette application pratique peut \u00eatre d\u00e9velopp\u00e9e pour des aspects de branding ou d&#039;analyse de marque o\u00f9 nous d\u00e9terminons pour une marque sp\u00e9cifique quels attributs elle fournit, quelles cons\u00e9quences sont obtenues sur ces marques et quelles sont les valeurs (\u00e0 la fois instrumentales et terminales) qui en d\u00e9coulent. m\u00eame.<\/p>\n<span class=\"et_bloom_bottom_trigger\"><\/span>","protected":false},"excerpt":{"rendered":"<p>Certaines m\u00e9thodologies sont peu r\u00e9pandues malgr\u00e9 leur forte valeur strat\u00e9gique. \u00c0 mi-chemin entre l&#039;analyse qualitative et quantitative, on trouve l&#039;analyse par \u00e9chelonnement, qui consiste \u00e0 analyser la cha\u00eene \u00ab\u00a0moyens-fins\u00a0\u00bb (que l&#039;on pourrait traduire par \u00ab\u00a0significations et finalit\u00e9s\u00a0\u00bb). La th\u00e9orie des \u00ab\u00a0moyens-fins\u00a0\u00bb propose de repr\u00e9senter les liens existants [\u2026]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"categories":[105,104,107,108,106],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Laddering, c\u00f3mo convertir atributos en insights de consumidor -<\/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:\/\/hamilton.global\/fr\/laddering-como-convertir-atributos-en-insights-de-consumidor\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Laddering, c\u00f3mo convertir atributos en insights de consumidor -\" \/>\n<meta property=\"og:description\" content=\"Existen algunas metodolog\u00edas que no son lo suficientemente utilizadas a pesar del alto valor estrat\u00e9gico que generan. A medio camino entre el an\u00e1lisis cualitativo y el cuantitativo se encuentra el laddering a trav\u00e9s del an\u00e1lisis de la cadena \u201cmeans-end\u201d (que se podr\u00eda traducir como \u201csignificados y finalidades\u201d). La teor\u00eda \u201cmeans-end\u201d propone representar las conexiones existentes [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/hamilton.global\/fr\/laddering-como-convertir-atributos-en-insights-de-consumidor\/\" \/>\n<meta property=\"og:site_name\" content=\"Hamilton\" \/>\n<meta property=\"article:published_time\" content=\"2009-06-03T07:38:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-02T09:50:32+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/1.bp.blogspot.com\/_QR59Narhi0I\/SiYpAB-cXEI\/AAAAAAAAACo\/arr_Ccoh83Q\/s400\/6+levels+of+abstraction+image1.gif\" \/>\n<meta name=\"author\" content=\"Jorge Teixeira\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jorge Teixeira\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/\",\"url\":\"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/\",\"name\":\"Laddering, c\u00f3mo convertir atributos en insights de consumidor -\",\"isPartOf\":{\"@id\":\"https:\/\/hamilton.global\/#website\"},\"datePublished\":\"2009-06-03T07:38:00+00:00\",\"dateModified\":\"2025-12-02T09:50:32+00:00\",\"author\":{\"@id\":\"https:\/\/hamilton.global\/#\/schema\/person\/69321faffe1268f4146b04146cef3a28\"},\"breadcrumb\":{\"@id\":\"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/hamilton.global\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Laddering, c\u00f3mo convertir atributos en insights de consumidor\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/hamilton.global\/#website\",\"url\":\"https:\/\/hamilton.global\/\",\"name\":\"Hamilton Global\",\"description\":\"Market Intelligence Consulting Company\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/hamilton.global\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/hamilton.global\/#\/schema\/person\/69321faffe1268f4146b04146cef3a28\",\"name\":\"Jorge Teixeira\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/hamilton.global\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/c7941050fe5d021d31934c122fbdbd1a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/c7941050fe5d021d31934c122fbdbd1a?s=96&d=mm&r=g\",\"caption\":\"Jorge Teixeira\"},\"url\":\"https:\/\/hamilton.global\/fr\/author\/jorge\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Laddering, c\u00f3mo convertir atributos en insights de consumidor -","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/hamilton.global\/fr\/laddering-como-convertir-atributos-en-insights-de-consumidor\/","og_locale":"fr_FR","og_type":"article","og_title":"Laddering, c\u00f3mo convertir atributos en insights de consumidor -","og_description":"Existen algunas metodolog\u00edas que no son lo suficientemente utilizadas a pesar del alto valor estrat\u00e9gico que generan. A medio camino entre el an\u00e1lisis cualitativo y el cuantitativo se encuentra el laddering a trav\u00e9s del an\u00e1lisis de la cadena \u201cmeans-end\u201d (que se podr\u00eda traducir como \u201csignificados y finalidades\u201d). La teor\u00eda \u201cmeans-end\u201d propone representar las conexiones existentes [&hellip;]","og_url":"https:\/\/hamilton.global\/fr\/laddering-como-convertir-atributos-en-insights-de-consumidor\/","og_site_name":"Hamilton","article_published_time":"2009-06-03T07:38:00+00:00","article_modified_time":"2025-12-02T09:50:32+00:00","og_image":[{"url":"http:\/\/1.bp.blogspot.com\/_QR59Narhi0I\/SiYpAB-cXEI\/AAAAAAAAACo\/arr_Ccoh83Q\/s400\/6+levels+of+abstraction+image1.gif"}],"author":"Jorge Teixeira","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"Jorge Teixeira","Dur\u00e9e de lecture estim\u00e9e":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/","url":"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/","name":"Laddering, c\u00f3mo convertir atributos en insights de consumidor -","isPartOf":{"@id":"https:\/\/hamilton.global\/#website"},"datePublished":"2009-06-03T07:38:00+00:00","dateModified":"2025-12-02T09:50:32+00:00","author":{"@id":"https:\/\/hamilton.global\/#\/schema\/person\/69321faffe1268f4146b04146cef3a28"},"breadcrumb":{"@id":"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/hamilton.global\/laddering-como-convertir-atributos-en-insights-de-consumidor\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/hamilton.global\/"},{"@type":"ListItem","position":2,"name":"Laddering, c\u00f3mo convertir atributos en insights de consumidor"}]},{"@type":"WebSite","@id":"https:\/\/hamilton.global\/#website","url":"https:\/\/hamilton.global\/","name":"Hamilton Global","description":"Market Intelligence Consulting Company","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/hamilton.global\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"fr-FR"},{"@type":"Person","@id":"https:\/\/hamilton.global\/#\/schema\/person\/69321faffe1268f4146b04146cef3a28","name":"Jorge Teixeira","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/hamilton.global\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/c7941050fe5d021d31934c122fbdbd1a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/c7941050fe5d021d31934c122fbdbd1a?s=96&d=mm&r=g","caption":"Jorge Teixeira"},"url":"https:\/\/hamilton.global\/fr\/author\/jorge\/"}]}},"_links":{"self":[{"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/posts\/1014"}],"collection":[{"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/comments?post=1014"}],"version-history":[{"count":1,"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/posts\/1014\/revisions"}],"predecessor-version":[{"id":5483,"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/posts\/1014\/revisions\/5483"}],"wp:attachment":[{"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/media?parent=1014"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/categories?post=1014"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hamilton.global\/fr\/wp-json\/wp\/v2\/tags?post=1014"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}