{"id":31869,"date":"2019-06-10T01:02:05","date_gmt":"2019-06-10T01:02:05","guid":{"rendered":"https:\/\/www.sisinternational.com\/?page_id=31869"},"modified":"2026-01-24T15:22:43","modified_gmt":"2026-01-24T20:22:43","slug":"etude-de-marche-danalyse-chaid","status":"publish","type":"page","link":"https:\/\/www.sisinternational.com\/fr\/solutions\/solutions-de-recherche-qualitative-et-quantitative\/etude-de-marche-danalyse-chaid\/","title":{"rendered":"CHAID Analyse \u00c9tude de march\u00e9"},"content":{"rendered":"<h1 class=\"wp-block-heading\">CHAID Analyse \u00c9tude de march\u00e9<\/h1>\n\n\n\n<figure class=\"gb-block-image gb-block-image-236a55be\"><img loading=\"lazy\" decoding=\"async\" width=\"1456\" height=\"816\" class=\"gb-image gb-image-236a55be\" src=\"https:\/\/www.sisinternational.com\/wp-content\/uploads\/2025\/08\/Fintech-2.jpg\" alt=\"\u00c9tudes de march\u00e9 et strat\u00e9gie internationales SIS\" title=\"Fintech (2)\" srcset=\"https:\/\/www.sisinternational.com\/wp-content\/uploads\/2025\/08\/Fintech-2.jpg 1456w, https:\/\/www.sisinternational.com\/wp-content\/uploads\/2025\/08\/Fintech-2-300x168.jpg 300w, https:\/\/www.sisinternational.com\/wp-content\/uploads\/2025\/08\/Fintech-2-1024x574.jpg 1024w, https:\/\/www.sisinternational.com\/wp-content\/uploads\/2025\/08\/Fintech-2-768x430.jpg 768w, https:\/\/www.sisinternational.com\/wp-content\/uploads\/2025\/08\/Fintech-2-18x10.jpg 18w\" sizes=\"auto, (max-width: 1456px) 100vw, 1456px\"><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">D\u00e9couvrez le mod\u00e8le de segmentation CHAID<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">CHAID (Chi-Square Automatic Interaction Detector) analysis is a marketing segmentation technique. It is useful for identifying the relationships between categorical response variables. It also works for other combinations of variables. CHAID finds patterns in data that has a lot of categorical variables. It creates segments and then presents the <a href=\"https:\/\/www.sisinternational.com\/fr\/competence\/les-industries\/conseil-en-visualisation-de-donnees\/\" title=\"Conseil en visualisation de donn\u00e9es\"  data-wpil-monitor-id=\"10832\">data in a visual<\/a> representation. <\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">In practice, we use CHAID <a href=\"https:\/\/www.sisinternational.com\/fr\/solutions\/solutions-de-recherche-qualitative-et-quantitative\/maximizing-roi-with-decision-trees-analysis-in-market-research\/\" title=\"Decision Trees Analysis in Market Research\"  data-wpil-monitor-id=\"1181\">analysis as a market research<\/a> tool. We use it to <a href=\"https:\/\/www.sisinternational.com\/fr\/couverture\/etude-de-marche-en-asie\/recherche-sur-la-segmentation-de-la-clientele-en-asie\/\" title=\"Recherche sur la segmentation des clients en Asie\"  data-wpil-monitor-id=\"10837\">segment different groups of customers<\/a>. CHAID looks at how they might respond to a marketing campaign. It analyzes according to the attributes of each group. For instance, let&#8217;s say we are running a marketing campaign. We&#8217;ll <a href=\"https:\/\/www.sisinternational.com\/fr\/analysis-b2b\/\" title=\"What Business Leaders Need to Know Right Now\"  data-wpil-monitor-id=\"10855\">need to know<\/a> some customer characteristics. For example, we&#8217;ll need a geographical location, socio-economic status, and gender. These characteristics have the most impact on response rates. With CHAID analysis, we build a tree that splits the data set along the chosen variable. It shows the effect of the characteristics on the probability of a response to the campaign.<\/span><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">CHAID comme technique de segmentation du march\u00e9<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">One advantage of the CHAID analysis is that it does not contain equations. Instead, it is visual, making it easier to understand. It <a href=\"https:\/\/www.sisinternational.com\/fr\/segmentation-interentreprises\/\" title=\"Segmentation du march\u00e9 interentreprises\"  data-wpil-monitor-id=\"10841\">segments the market<\/a> under consideration in a straightforward visual representation. For instance, in the image above, the bottom nodes represent the market segmentation. It divides up your <a href=\"https:\/\/www.sisinternational.com\/fr\/solutions\/conseil-en-strategie\/etudes-de-dimensionnement-de-faisabilite-dentree-sur-le-marche\/\" title=\"\u00c9tudes d\u2019entr\u00e9e sur le march\u00e9, de faisabilit\u00e9 et de dimensionnement\"  data-wpil-monitor-id=\"10850\">market based on the size<\/a> or responsiveness of each category. Such <a href=\"https:\/\/www.sisinternational.com\/fr\/services-de-recherche-sur-la-segmentation-du-marche\/\" title=\"Services de recherche sur la segmentation du march\u00e9\"  data-wpil-monitor-id=\"10846\">segmentation makes it easy to rank marketing<\/a> resources according to priority. You can analyze the response rate of the node according to a given benchmark. Next, you analyze according to size. In this way, you can determine where you need to dedicate more resources. Segments with higher response rates represent low hanging fruit. They will yield high response rates yet do not need a lot of marketing effort. You can thus avoid the segment that has smaller than average response rates. You will need more <a href=\"https:\/\/www.sisinternational.com\/fr\/competence\/les-industries\/etude-de-marche-sur-les-ressources-naturelles\/\" title=\"\u00c9tude de march\u00e9 sur les ressources naturelles\"  data-wpil-monitor-id=\"10830\">resources to market<\/a> to this segment, and you&#8217;ll reap fewer rewards.<\/span><\/p>\n\n\n\n<p><span style=\"font-weight: 400;\">CHAID Analysis determines the relationship between independent variables for analytical studies. <a href=\"https:\/\/www.sisinternational.com\/fr\/predictive-analytics\/\" title=\"Predictive Analytics: Your Crystal Ball for Business Success\"  data-wpil-monitor-id=\"10858\">Businesses also use it as a predictive<\/a> tool. By employing CHAID analysis, you can uncover essential relationships between dependent variables. These could include prior purchases, frequency, recency, promotion, price, and product. These variables may affect response to market campaigns such as mail solicitation. The CHAID regression tree makes it easy to predict these responses. <\/span><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span style=\"font-weight: 400;\">Recherche quantitative<\/span><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\">You can also use the CHAID analysis to do a quantitative analysis. You use it by testing for association between two variables. You apply Chi-Square tests when building the CHAID tree. In this way, you determine the statistical significance of predictors of response rates. For instance, you can use Bonferroni corrections to account for false positives. &nbsp;Market <a href=\"https:\/\/www.sisinternational.com\/fr\/solutions\/solutions-de-recherche-qualitative-et-quantitative\/regression-analysis-in-research\/\" title=\"Regression Analysis in Research\"  data-wpil-monitor-id=\"1233\">research using CHAID<\/a> can thus use regression analysis for data mining. You can also use it for statistical modeling and analysis.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>D\u00e9couvrez comment CHAID Analysis peut vous aider \u00e0 mieux segmenter votre march\u00e9, \u00e0 devenir plus rentable et \u00e0 accro\u00eetre votre efficacit\u00e9.<\/p>","protected":false},"author":1,"featured_media":62388,"parent":14660,"menu_order":16,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-31869","page","type-page","status-publish","has-post-thumbnail"],"_links":{"self":[{"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/pages\/31869","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/comments?post=31869"}],"version-history":[{"count":5,"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/pages\/31869\/revisions"}],"predecessor-version":[{"id":81775,"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/pages\/31869\/revisions\/81775"}],"up":[{"embeddable":true,"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/pages\/14660"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/media\/62388"}],"wp:attachment":[{"href":"https:\/\/www.sisinternational.com\/fr\/wp-json\/wp\/v2\/media?parent=31869"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}