{"id":29166,"date":"2025-05-26T16:01:12","date_gmt":"2025-05-26T13:01:12","guid":{"rendered":"https:\/\/help.redtrack.io\/knowledgebase\/relatorios-modelagem-de-atribuicao\/"},"modified":"2026-02-26T15:41:11","modified_gmt":"2026-02-26T12:41:11","slug":"relatorios-modelagem-de-atribuicao","status":"publish","type":"docs","link":"https:\/\/help.redtrack.io\/pt-br\/knowledgebase\/kb\/basic-setup-9785\/relatorios-e-paineis\/relatorios-modelagem-de-atribuicao\/","title":{"rendered":"Modelagem de atribui\u00e7\u00e3o"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><b>What\u2019s an Attribution modelling report in RedTrack?<\/b><\/h2>\n\n<p>The <strong>Attribution modelling<\/strong> report in RedTrack helps you understand how different touchpoints contribute to your conversions and revenue. By applying different attribution models, you can analyze the customer journey and decide how to credit each channel or campaign based on your marketing strategy.<\/p>\n\n<p>Currently, the Attribution modelling report in RedTrack:<\/p>\n\n<ul class=\"wp-block-list\">\n<li>is available for all<a href=\"https:\/\/redtrack.io\/pricing\/\" target=\"_blank\" rel=\"noreferrer noopener\"> e-com subscription plans<\/a>. If you\u2019re an affiliate, contact support@redtrack.io for more information.<\/li>\n\n\n\n<li>pode ser composto apenas para um tipo de convers\u00e3o de cada vez.<\/li>\n<\/ul>\n\n<h2>\u00a0<strong>How to work with the report<\/strong><\/h2>\n\n<p>Go to <b>Attribution modelling \u2192 Select the target Website \u2192 <\/b>Choose the data filters: Granularity (source type), Conversion event (e.g., Purchase), Status event, Attribution model, Date, Lookback period \u2192 press Apply to generate the report:<\/p>\n\n<figure class=\"wp-block-image size-full is-resized has-lightbox\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1907\" height=\"219\" src=\"https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21.png\" alt=\"\" class=\"wp-image-32585\" style=\"width:717px;height:auto\" srcset=\"https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21.png 1907w, https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21-300x34.png 300w, https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21-1024x118.png 1024w, https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21-768x88.png 768w, https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21-20x2.png 20w, https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21-32x4.png 32w, https:\/\/help.redtrack.io\/wp-content\/uploads\/2025\/05\/image-21-1536x176.png 1536w\" sizes=\"(max-width: 1907px) 100vw, 1907px\" \/><\/figure>\n\n<p>Filtros explicados:<\/p>\n<div class=\"wp-block-ub-tabbed-content wp-block-ub-tabbed-content-holder wp-block-ub-tabbed-content-horizontal-holder-mobile wp-block-ub-tabbed-content-horizontal-holder-tablet\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e\" style=\"\">\n\t\t\t<div class=\"wp-block-ub-tabbed-content-tab-holder horizontal-tab-width-mobile horizontal-tab-width-tablet\">\n\t\t\t\t<div role=\"tablist\" class=\"wp-block-ub-tabbed-content-tabs-title wp-block-ub-tabbed-content-tabs-title-mobile-horizontal-tab wp-block-ub-tabbed-content-tabs-title-tablet-horizontal-tab\" style=\"justify-content: flex-start; \"><div role=\"tab\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-0\" aria-controls=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-0\" aria-selected=\"true\" class=\"wp-block-ub-tabbed-content-tab-title-wrap active\" style=\"--ub-tabbed-title-background-color: #eeeeee; --ub-tabbed-active-title-color: inherit; --ub-tabbed-active-title-background-color: #eeeeee; text-align: left; \" tabindex=\"-1\">\n\t\t\t\t<div class=\"wp-block-ub-tabbed-content-tab-title\">Granularity<\/div>\n\t\t\t<\/div><div role=\"tab\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-1\" aria-controls=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-1\" aria-selected=\"false\" class=\"wp-block-ub-tabbed-content-tab-title-wrap\" style=\"--ub-tabbed-active-title-color: inherit; --ub-tabbed-active-title-background-color: #eeeeee; text-align: left; \" tabindex=\"-1\">\n\t\t\t\t<div class=\"wp-block-ub-tabbed-content-tab-title\">Conversion event<\/div>\n\t\t\t<\/div><div role=\"tab\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-2\" aria-controls=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-2\" aria-selected=\"false\" class=\"wp-block-ub-tabbed-content-tab-title-wrap\" style=\"--ub-tabbed-active-title-color: inherit; --ub-tabbed-active-title-background-color: #eeeeee; text-align: left; \" tabindex=\"-1\">\n\t\t\t\t<div class=\"wp-block-ub-tabbed-content-tab-title\">Status event<\/div>\n\t\t\t<\/div><div role=\"tab\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-3\" aria-controls=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-3\" aria-selected=\"false\" class=\"wp-block-ub-tabbed-content-tab-title-wrap\" style=\"--ub-tabbed-active-title-color: inherit; --ub-tabbed-active-title-background-color: #eeeeee; text-align: left; \" tabindex=\"-1\">\n\t\t\t\t<div class=\"wp-block-ub-tabbed-content-tab-title\">Attribution model<\/div>\n\t\t\t<\/div><div role=\"tab\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-4\" aria-controls=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-4\" aria-selected=\"false\" class=\"wp-block-ub-tabbed-content-tab-title-wrap\" style=\"--ub-tabbed-active-title-color: inherit; --ub-tabbed-active-title-background-color: #eeeeee; text-align: left; \" tabindex=\"-1\">\n\t\t\t\t<div class=\"wp-block-ub-tabbed-content-tab-title\">Date and Lookback period<\/div>\n\t\t\t<\/div><\/div>\n\t\t\t<\/div>\n\t\t\t<div class=\"wp-block-ub-tabbed-content-tabs-content\" style=\"\"><div role=\"tabpanel\" class=\"wp-block-ub-tabbed-content-tab-content-wrap active\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-0\" aria-labelledby=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-0\" tabindex=\"0\">\n\n<p><strong>Granularity<\/strong> is the source type. <\/p>\n\n\n\n<p>Tipos de granularidade principais explicados:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Fonte<\/strong>: canal de tr\u00e1fego.<\/li>\n\n\n\n<li><strong>RT Source<\/strong>: parameter set in your traffic channel settings \u2192 \u201cAdditional parameters\u201d section \u2192 the parameter with RT Source role.<\/li>\n\n\n\n<li><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong>Campaign<\/strong>: the campaign that you created and launched to set the process of tracking in motion.<\/span><\/li>\n\n\n\n<li><strong>RT Campaign<\/strong>: parameter set in your traffic channel settings \u2192 \u201cAdditional parameters\u201d section \u2192 the parameter with RT Campaign role.<\/li>\n\n\n\n<li><strong>Entry page<\/strong>: this filter is still under development, but in the future,\u00a0it will be named\u00a0<em>Funnel<\/em>\u00a0and tracked accordingly.<\/li>\n<\/ul>\n\n<\/div><div role=\"tabpanel\" class=\"wp-block-ub-tabbed-content-tab-content-wrap ub-hide\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-1\" aria-labelledby=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-1\" tabindex=\"0\">\n\n<p>Para que os eventos sejam mostrados neste filtro, precisas<a href=\"https:\/\/help.redtrack.io\/pt-br\/?post_type=docs&amp;p=30203\" target=\"_blank\" rel=\"noreferrer noopener\"> adicion\u00e1-los primeiro<\/a>.<\/p>\n\n<\/div><div role=\"tabpanel\" class=\"wp-block-ub-tabbed-content-tab-content-wrap ub-hide\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-2\" aria-labelledby=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-2\" tabindex=\"0\">\n\n<p>The status event filter allows you to segment your data by whether a conversion occurred for the first time for a given user (based on the clickid data) or is a repeat conversion. <br>This is especially useful when you&#8217;re running lead generation or subscription-based campaigns and want to distinguish between new and returning leads.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>New<\/strong>: a conversion is recorded for the first time with the selected conversion type for a specific clickid.<br>Example: Click ID 12345 \u2192 Conversion type: Lead \u2192 Status = New.<\/li>\n\n\n\n<li><strong>Repeated<\/strong>: it&#8217;s a conversion that occurs again with the same conversion type on the same clickid.<br>Example: Click ID 12345 \u2192 Conversion type: Lead \u2192 Status = Repeated (for the 2nd, 3rd, etc. conversion).<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-simple-note-quote\">Use this filter to focus on first-time conversions (New) to analyze customer acquisition, or on Repeated to measure re-engagement or upsells.<\/div>\n\n<\/div><div role=\"tabpanel\" class=\"wp-block-ub-tabbed-content-tab-content-wrap ub-hide\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-3\" aria-labelledby=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-3\" tabindex=\"0\">\n\n<p>Attribution modeling in RedTrack is based on smart attribution combined with fingerprint tracking. You can choose between several attribution models depending on how you want to distribute credit across user interactions. <br>Let\u2019s break down the models available:<\/p>\n\n\n\n<figure class=\"wp-block-flexible-table-block-table\"><table class=\"\" style=\"width:90%\"><thead><tr><th><strong>Attribution model<\/strong><\/th><th><strong>How it works<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>First Touch<\/strong><\/td><td>Includes: all first clicks (organic or paid) via smart attribution + fingerprint.<br>Attribution: 100% of conversions and revenue are attributed to the first interaction.<br>Best for: evaluating top-of-funnel campaigns.<\/td><\/tr><tr><td><strong>First Touch Paid only<\/strong><\/td><td>Includes: only paid traffic, first clicks via smart attribution + fingerprint.<br>Attribution: 100% conversion and revenue go to the first paid interaction.<br>Best for: assessing the effectiveness of paid ads in starting user journeys.<\/td><\/tr><tr><td><strong>Last Touch<\/strong><\/td><td>Includes: all last clicks (organic or paid) via smart attribution + fingerprint.<br>Attribution: 100% of conversions and revenue are assigned to the last interaction.<br>Best for: understanding which touchpoint closes the sale.<\/td><\/tr><tr><td><strong>Last Touch Paid only<\/strong><\/td><td>Includes: only paid traffic, last clicks via smart attribution + fingerprint.<br>Attribution: 100% of conversions and revenue are assigned to the last paid interaction.<br>Best for: measuring the impact of paid channels in final decision-making.<\/td><\/tr><tr><td><strong>U-Shaped<\/strong><\/td><td>Includes: all clicks (organic or paid) via smart attribution + fingerprint.<br>Attribution:<br>\u261b 40% of credit to the first click.<br>\u261b 40% of credit to the last click.<br>\u261b 20% split between all other clicks in the middle.<br>Best for: balanced insights into both first and last interactions.<\/td><\/tr><tr><td><strong>U-Shaped Paid only<\/strong><\/td><td>Includes: only paid clicks via smart attribution + fingerprint.<br>Attribution:<br>\u261b 40% of the credit goes to the first paid click.<br>\u261b 40% to the last paid click.<br>\u261b 20% shared among all other paid interactions.<br>Best for: analyzing paid campaigns across the full funnel.<\/td><\/tr><tr><td><strong>Linear<\/strong><\/td><td>Includes: all clicks (organic or paid) via smart attribution + fingerprint.<br>Attribution: evenly distributes 100% of conversion and revenue across all touchpoints.<br>Best for: brands that want to give equal value to every interaction.<\/td><\/tr><tr><td><strong>Linear Paid only<\/strong><\/td><td>Includes: only paid clicks via smart attribution + fingerprint.<br>Attribution: evenly distributes 100% of conversion and revenue across all paid interactions.<br>Best for: evaluating the performance of paid channels across the entire journey.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Casos de uso<\/h3>\n\n\n\n<p>Ao escolher diferentes modelos de atribui\u00e7\u00e3o, podes obter insights estrat\u00e9gicos sobre como os usu\u00e1rios interagem com tuas campanhas. Aqui est\u00e3o algumas maneiras pr\u00e1ticas de usar este filtro: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Analyze your full marketing mix:<\/strong><br>Use the &#8220;First Touch&#8221; model to identify which channels drive first-time users to your site. This helps you understand which sources generate initial interest and how top-of-funnel activities perform.<\/li>\n\n\n\n<li><strong>Measure what drives conversions:<\/strong><br>Switch to &#8220;Last Touch&#8221; to see which channels close the deal. This is useful for evaluating which campaigns or platforms drive final conversions and revenue.<\/li>\n\n\n\n<li><strong>Foco em campanhas pagas:<\/strong><br>Se quiseres analisar apenas teus esfor\u00e7os de publicidade, seleciona qualquer um dos modelos &#8220;Apenas Pago&#8221; (por exemplo, Primeiro Toque Pago, \u00daltimo Toque Pago, Linear Pago). Isso excluir\u00e1 o tr\u00e1fego org\u00e2nico e te ajudar\u00e1 a avaliar o verdadeiro desempenho dos teus investimentos em m\u00eddia paga. <\/li>\n<\/ul>\n\n<\/div><div role=\"tabpanel\" class=\"wp-block-ub-tabbed-content-tab-content-wrap ub-hide\" id=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-panel-4\" aria-labelledby=\"ub-tabbed-content-206d45b9-a07a-439c-a486-b5890788219e-tab-4\" tabindex=\"0\">\n\n<p>Para analisar teus dados de atribui\u00e7\u00e3o de forma eficaz, usa tanto os filtros de Data quanto o Per\u00edodo de retrospectiva.<\/p>\n\n\n\n<p><strong>Filtro de Data<\/strong><br>O filtro de Data define quando as convers\u00f5es aconteceram. Ele limita o relat\u00f3rio para mostrar apenas as convers\u00f5es que ocorreram dentro do per\u00edodo de tempo selecionado.<br>Exemplo: se escolheres de 1 a 10 de junho, apenas as convers\u00f5es que aconteceram durante esse per\u00edodo aparecer\u00e3o no teu relat\u00f3rio. <\/p>\n\n\n\n<p><strong>Lookback period<\/strong><br>The Lookback period defines how far back RedTrack will search for user interactions (like clicks or visits) that led to those conversions. This filter affects how attribution is calculated by determining which touchpoints are included in the conversion path. <br>You can choose between 30 (default) or 60 days (extra). <br><br>Example: if a conversion occurred on June 10 and the Lookback period is set to 30 days, RedTrack will analyze interactions from May 11 to June 10 to determine attribution credit.<\/p>\n\n\n\n<div class=\"wp-block-simple-note-quote\">To get the 60-day filter, contact support@redtrack.io to help you upgrade your subscription plan. <\/div>\n\n<\/div><\/div>\n\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>What\u2019s an Attribution modelling report in RedTrack? The Attribution modelling report in RedTrack helps you understand how different touchpoints contribute to your conversions and revenue. By applying different attribution models, you can analyze the customer journey and decide how to credit each channel or campaign based on your marketing strategy. Currently, the Attribution modelling report [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":29658,"menu_order":131,"comment_status":"closed","ping_status":"closed","template":"","doc_tag":[],"doc_badge":[],"class_list":["post-29166","docs","type-docs","status-publish","hentry","no-post-thumbnail"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Modelagem de atribui\u00e7\u00e3o | RedTrack Help<\/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:\/\/help.redtrack.io\/pt-br\/knowledgebase\/kb\/basic-setup-9785\/relatorios-e-paineis\/relatorios-modelagem-de-atribuicao\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Modelagem de atribui\u00e7\u00e3o | RedTrack Help\" \/>\n<meta property=\"og:description\" content=\"What\u2019s an Attribution modelling report in RedTrack? 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The Attribution modelling report in RedTrack helps you understand how different touchpoints contribute to your conversions and revenue. By applying different attribution models, you can analyze the customer journey and decide how to credit each channel or campaign based on your marketing strategy. 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