{"id":17893,"date":"2026-02-20T16:59:48","date_gmt":"2026-02-20T16:59:48","guid":{"rendered":"https:\/\/datama.io\/?p=17893"},"modified":"2026-05-12T15:56:31","modified_gmt":"2026-05-12T15:56:31","slug":"analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau","status":"publish","type":"post","link":"https:\/\/datama.io\/fr\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\/","title":{"rendered":"Analyse CRM chez La Centrale avec Datama Extension dans Tableau"},"content":{"rendered":"<p>Category : eCommerce | Solution : Datama Compare | Type : Automated reporting | Customer : La Centrale<br \/>Tags : #CRM #KPI Analysis #Tableau #eCommerce<\/p>\n<p>\t\t\t\t\t\t\t\u00ab\u00a0Datama nous permet de d\u00e9mocratiser des concepts analytiques avanc\u00e9s via des graphiques explicites, directement dans notre outil Tableau. Nos \u00e9quipes CRM gagnent en autonomie et en pr\u00e9cision dans l&rsquo;optimisation de chaque \u00e9tape de leurs campagnes.\u00a0\u00bb<br \/>\n\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datama.io\/wp-content\/uploads\/2026\/02\/Benoit-1.png\" title=\"\" alt=\"\" loading=\"lazy\" \/><br \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tBenoit Larquey<br \/>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tHead of Data<\/p>\n<h2><strong>\u00a0<\/strong><\/h2>\n<h2><strong>Contexte: Suivre la performance des alertes de recherches clients<\/strong><\/h2>\n<p>La Centrale, 1\u00e8re marketplace 100 % auto en France, est sp\u00e9cialis\u00e9e dans la mise en relation entre acheteurs et vendeurs de v\u00e9hicules. Sa plateforme propose un large catalogue de voitures d\u2019occasion et neuves, de motos et de v\u00e9hicules utilitaires, issus aussi bien de particuliers que de professionnels.\u00a0<\/p>\n<p>R\u00e9f\u00e9rence incontournable du secteur, La Centrale est reconnue pour la fiabilit\u00e9 de ses annonces et ses outils d\u2019aide \u00e0 la d\u00e9cision (cote auto, filtres avanc\u00e9s, comparaisons), qui accompagnent les utilisateurs tout au long de leur parcours d\u2019achat.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/datama.io\/wp-content\/uploads\/2026\/02\/image-11-1024x412.png\" alt=\"\" \/><\/figure>\n<p>Dans une logique d\u2019optimisation de l\u2019engagement client, La Centrale a d\u00e9ploy\u00e9 une nouvelle fonctionnalit\u00e9 permettant aux utilisateurs inscrits de recevoir une alerte email lorsqu\u2019un v\u00e9hicule correspondant \u00e0 leurs crit\u00e8res devient disponible. L\u2019objectif est clair : maintenir le lien avec les prospects, encourager leur retour sur la plateforme et relancer l\u2019intention d\u2019achat.<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/datama.io\/wp-content\/uploads\/2026\/02\/image-8.png\" alt=\"\" \/><\/figure>\n<p>Les \u00e9quipes CRM suivent avec attention les \u00e9volutions des indicateurs de la performance de cette fonctionnalit\u00e9, compte tenu de son importance business.<\/p>\n<p>Cependant, la donn\u00e9e permettant ce suivi \u00e9tait jusque l\u00e0 silot\u00e9e dans diff\u00e9rents outils: le CRM (Braze) pour le nombre de mails envoy\u00e9s, l\u2019outil de tracking Web (Piano) pour le trafic g\u00e9n\u00e9r\u00e9 et enfin le backend (d\u00e9vers\u00e9 dans Redshift pour la BI) pour les contacts aux propri\u00e9taires qui en ont r\u00e9sult\u00e9.<\/p>\n<p>Un travail cons\u00e9quent a d\u2019abord \u00e9t\u00e9 men\u00e9 par l\u2019\u00e9quipe data engineering de La Centrale :<br \/>les flux de donn\u00e9es ont \u00e9t\u00e9 d\u00e9velopp\u00e9s dans DBT, afin de consolider et harmoniser des donn\u00e9es issues de sources multiples. Ce travail a permis d\u2019alimenter Tableau avec un jeu de donn\u00e9es fiable et structur\u00e9, qui ne demandait plus qu\u2019\u00e0 \u00eatre analys\u00e9.\u00a0<\/p>\n<p>L\u2019entreprise s\u2019appuie d\u00e9j\u00e0 sur Tableau pour le suivi quotidien de ses performances, avec des donn\u00e9es provenant de plusieurs plateformes et syst\u00e8mes internes.<\/p>\n<p>C\u2019est dans ce contexte que La Centrale a fait appel \u00e0 Datama Compare en viz extension Tableau, afin d\u2019analyser pr\u00e9cis\u00e9ment l\u2019impact de cette fonctionnalit\u00e9 sur la performance CRM et les revenus g\u00e9n\u00e9r\u00e9s.<\/p>\n<p>\u00a0<\/p>\n<h2><strong>Approche : Rassembler les donn\u00e9es<\/strong><\/h2>\n<p>Pour mesurer l\u2019impact r\u00e9el des alertes sur le comportement des utilisateurs, les \u00e9quipes ont cherch\u00e9 \u00e0 analyser la corr\u00e9lation entre :<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>le volume d\u2019alertes email envoy\u00e9es,<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>l\u2019activit\u00e9 des utilisateurs apr\u00e8s r\u00e9ception,<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>et le nombre de contacts g\u00e9n\u00e9r\u00e9s.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>L\u2019approche retenue repose sur la construction d\u2019une \u00e9quation de march\u00e9, permettant de d\u00e9composer la performance CRM en diff\u00e9rentes \u00e9tapes du funnel.<\/p>\n<p>L\u2019\u00e9quation suivante a \u00e9t\u00e9 d\u00e9finie :<\/p>\n<figure><img decoding=\"async\" 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\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\" alt=\"\" \/><\/figure>\n<p>Cette \u00e9quation mod\u00e9lise le parcours des utilisateurs depuis la r\u00e9ception d\u2019une alerte email de disponibilit\u00e9 jusqu\u2019\u00e0 la prise de contact avec La Centrale. Chaque composante correspond \u00e0 une \u00e9tape cl\u00e9 du funnel et peut \u00eatre analys\u00e9e ind\u00e9pendamment.<\/p>\n<p>En int\u00e9grant cette \u00e9quation dans Datama Compare, les \u00e9quipes peuvent suivre en continu la variation de chaque levier et identifier pr\u00e9cis\u00e9ment les points de contribution \u00e0 la performance globale.<\/p>\n<p>Datama vous fournit un g\u00e9n\u00e9rateur d&rsquo;\u00e9quation de march\u00e9 <a href=\"https:\/\/dataguillaume.gumroad.com\/l\/bdlabq\">ici<\/a> pour vous aider \u00e0 personaliser la d\u00e9compostion de vos KPIs selon votre business secteur.<\/p>\n<p>\u00a0<\/p>\n<h2><strong>R\u00e9sultats<\/strong><\/h2>\n<h3>Int\u00e9gration dans Tableau<\/h3>\n<p>Gr\u00e2ce \u00e0 cette pr\u00e9paration en amont, les r\u00e9sultats sont rapidement exploitables directement dans Tableau via l\u2019extension Datama Compare, qui permet d\u2019expliquer pr\u00e9cis\u00e9ment les variations des Volumes de contact entre deux p\u00e9riodes, en d\u00e9composant la variation par \u00e9tapes du funnel (Sent &gt; Click &gt; Contact) et en \u00e9tant en mesure de d\u00e9composer facilement chaque \u00e9tape par campagne notamment.\u00a0<\/p>\n<p>(A noter bien entendu que les donn\u00e9es ci dessous sont fictives &#8211; vous pouvez retrouver un dataset d\u2019exemple <a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1GpXetw65ixu7z5zt9QPlCSUX21q6tfPciOYDGDg7VHM\/edit?gid=294492928#gid=294492928\">ici<\/a>)<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/datama.io\/wp-content\/uploads\/2026\/02\/image-10-1024x453.png\" alt=\"\" \/><\/figure>\n<p style=\"font-size: 15px; text-align: center;\">La d\u00e9composition de l\u2019\u00e9cart\u00a0 par \u00e9tape dans Tableau<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/datama.io\/wp-content\/uploads\/2026\/02\/image-9-1024x450.png\" alt=\"\" \/><\/figure>\n<p style=\"font-size: 15px; text-align: center;\">Le drill down des volumes de mail envoy\u00e9s par Campagne<\/p>\n<p>L\u2019un des avantages majeurs est l\u2019accessibilit\u00e9 : Tableau \u00e9tant partag\u00e9 entre les \u00e9quipes concern\u00e9es, l\u2019analyse Datama est imm\u00e9diatement disponible pour l\u2019ensemble des parties prenantes, sans d\u00e9pendance \u00e0 l\u2019\u00e9quipe data pour chaque nouvelle question.<\/p>\n<p>\u00a0<\/p>\n<h3>Aller plus loin : flexibilit\u00e9 et personnalisation de l\u2019analyse<\/h3>\n<p>Pour approfondir l\u2019analyse, le tableau de bord peut \u00eatre enrichi par des param\u00e8tres Tableau permettant :<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>de changer les p\u00e9riodes d\u2019analyse<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>de filtrer par type de campagne CRM<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>ou de se focaliser sur certaines phases du funnel<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>Dans ce cas, Datama s\u2019adapte dynamiquement et n\u2019affiche que les \u00e9l\u00e9ments pertinents selon les param\u00e8tres s\u00e9lectionn\u00e9s. Les utilisateurs m\u00e9tiers gardent ainsi la main sur leurs conditions d\u2019analyse, sans n\u00e9cessiter de nouveaux d\u00e9veloppements ou de temps de pr\u00e9paration suppl\u00e9mentaire, (consultez cet <a href=\"https:\/\/datama.io\/fr\/use-case-11-self-service-insights-using-tableau-parameters-and-datama\/\">article <\/a>pour comprendre comment cr\u00e9er des param\u00e8tres dans Tableau impactant Datama).<\/p>\n<figure><img decoding=\"async\" src=\"https:\/\/datama.io\/wp-content\/uploads\/2026\/02\/image-12.png\" alt=\"\" \/><\/figure>\n<p style=\"font-size: 15px; text-align: center;\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Un exemple de s\u00e9lection de dates et filtre appropri\u00e9 pour l\u2019utilisateur final<\/p>\n<p style=\"font-size: 15px; text-align: center;\">\u00a0<\/p>\n<h2><strong>B\u00e9n\u00e9fices<\/strong><\/h2>\n<p>Gr\u00e2ce \u00e0 cette approche, La Centrale a renforc\u00e9 :<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>l\u2019efficacit\u00e9 de ses analyses CRM via\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>La r\u00e9conciliation et la centralisation des donn\u00e9es de suivi de performance des campagnes CRM<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>l\u2019acc\u00e9l\u00e9ration de l\u2019acc\u00e8s aux insights cl\u00e9s\u00a0<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>la capacit\u00e9 des \u00e9quipes \u00e0 prendre des d\u00e9cisions plus rapides et mieux inform\u00e9es en les rendant plus autonomes gr\u00e2ce \u00e0 Datama<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p>L\u2019int\u00e9gration de Datama Compare dans Tableau a permis d\u2019acc\u00e9l\u00e9rer la compr\u00e9hension des leviers de performance, d\u2019am\u00e9liorer la r\u00e9activit\u00e9 des \u00e9quipes CRM et, in fine, d\u2019optimiser l\u2019impact business de la fonctionnalit\u00e9 des alertes email.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Category : eCommerce | Solution : Datama Compare | Type : Automated reporting | Customer : La CentraleTags : #CRM #KPI Analysis #Tableau #eCommerce \u00ab\u00a0Datama nous permet de d\u00e9mocratiser des concepts analytiques avanc\u00e9s via des graphiques explicites, directement dans notre outil Tableau. Nos \u00e9quipes CRM gagnent en autonomie et en pr\u00e9cision dans l&rsquo;optimisation de chaque [&hellip;]<\/p>\n","protected":false},"author":35,"featured_media":17918,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[127],"tags":[],"class_list":["post-17893","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-use-case-fr"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Analyse CRM chez La Centrale avec Datama Extension dans Tableau - Datama<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez comment La Centrale pilote et optimise la performance de ses campagnes CRM dans Tableau gr\u00e2ce \u00e0 Datama Extension.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datama.io\/fr\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Analyse CRM chez La Centrale avec Datama Extension dans Tableau - Datama\" \/>\n<meta property=\"og:description\" content=\"D\u00e9couvrez comment La Centrale pilote et optimise la performance de ses campagnes CRM dans Tableau gr\u00e2ce \u00e0 Datama Extension.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datama.io\/fr\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\/\" \/>\n<meta property=\"og:site_name\" content=\"Datama\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-20T16:59:48+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-05-12T15:56:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datama.io\/wp-content\/uploads\/2026\/02\/FR_la-centrale.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1942\" \/>\n\t<meta property=\"og:image:height\" content=\"1102\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Yanling Tao\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@datama_solution\" \/>\n<meta name=\"twitter:site\" content=\"@datama_solution\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Yanling Tao\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/datama.io\\\/fr\\\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/datama.io\\\/fr\\\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\\\/\"},\"author\":{\"name\":\"Yanling Tao\",\"@id\":\"https:\\\/\\\/datama.io\\\/fr\\\/#\\\/schema\\\/person\\\/60aa92ba4844732850da2f08d6c04db2\"},\"headline\":\"Analyse CRM chez La Centrale avec Datama Extension dans Tableau\",\"datePublished\":\"2026-02-20T16:59:48+00:00\",\"dateModified\":\"2026-05-12T15:56:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/datama.io\\\/fr\\\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\\\/\"},\"wordCount\":1015,\"publisher\":{\"@id\":\"https:\\\/\\\/datama.io\\\/fr\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/datama.io\\\/fr\\\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/datama.io\\\/wp-content\\\/uploads\\\/2026\\\/02\\\/FR_la-centrale.png\",\"articleSection\":[\"Use case\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/datama.io\\\/fr\\\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\\\/\",\"url\":\"https:\\\/\\\/datama.io\\\/fr\\\/analyse-crm-chez-la-centrale-avec-datama-extension-dans-tableau\\\/\",\"name\":\"Analyse CRM chez La Centrale avec Datama Extension dans Tableau - 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