{"id":3769,"date":"2026-08-29T09:00:00","date_gmt":"2026-08-29T07:00:00","guid":{"rendered":"https:\/\/brentasoft.com\/blog\/reporting-analytics-crm-odoo-19-pmi-italiane-guida-10\/"},"modified":"2026-06-10T14:59:25","modified_gmt":"2026-06-10T12:59:25","slug":"reporting-analytics-crm-odoo-19-pmi-italiane-guida-10","status":"publish","type":"post","link":"https:\/\/brentasoft.com\/blog\/reporting-analytics-crm-odoo-19-pmi-italiane-guida-10\/","title":{"rendered":"Reporting + analytics CRM Odoo: dashboard, KPI, win\/loss (guida 10 di 15)"},"content":{"rendered":"<p><em>Ottantatreesima guida operativa Odoo 19 per PMI italiane. Decima della serie 15 guide CRM Odoo. &#8220;Cosa misuri lo gestisci.&#8221; Sales without analytics = guessing. Sales con dashboard CRM = decisioni informate, coaching mirato, ottimizzazione continuativa. Odoo CRM include reporting nativo potente: pipeline analytics, conversion funnel, win\/loss analysis, sales velocity, KPI per team\/owner. In questa guida vediamo come usare bene questi strumenti per gestire sales in modo data-driven nella PMI italiana.<\/em><\/p>\n<p>Vediamo: pipeline analytics, leads aggregate, opportunity detail, team performance, sales KPI dashboard, casi pratici PMI italiane.<\/p>\n<h2>Pipeline analytics: vista d&#8217;insieme<\/h2>\n<p>Pipeline kanban + lista mostra opportunity per stage. Aggregate per team, owner, segment. Counter + revenue per colonna. Health della pipeline visibile a colpo d&#8217;occhio. CEO + Sales Manager + AE guardano stesso schermo:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brentasoft.com\/blog\/wp-content\/uploads\/2026\/06\/odoo-rpt-01-pipeline.png\" alt=\"Pipeline analytics CRM Odoo 19 PMI italiane reporting\" class=\"aligncenter size-full wp-image-3764\"\/><\/p>\n<ul>\n<li>Counter opp per stage<\/li>\n<li>Revenue sum per stage<\/li>\n<li>Color coding priority<\/li>\n<li>Filter team\/owner\/period<\/li>\n<li>Drill-down su single opp<\/li>\n<li>Compare period over period<\/li>\n<li>Export Excel per analisi advanced<\/li>\n<\/ul>\n<h2>Opportunity detail analytics<\/h2>\n<p>Ogni opp ha analytics dedicato: tempo in ogni stage, activity history, email engagement, expected vs actual. Insight per coaching + diagnostics. Pattern detection da histories aggregate:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brentasoft.com\/blog\/wp-content\/uploads\/2026\/06\/odoo-rpt-02-opp.png\" alt=\"Opportunity detail analytics CRM Odoo 19 PMI italiane\" class=\"aligncenter size-full wp-image-3765\"\/><\/p>\n<ul>\n<li>Time-in-stage tracking<\/li>\n<li>Activity count + types<\/li>\n<li>Email engagement metrics<\/li>\n<li>Quote history + outcomes<\/li>\n<li>Stakeholder mapping<\/li>\n<li>Communication frequency<\/li>\n<li>Risk indicators<\/li>\n<\/ul>\n<h2>Leads aggregate report<\/h2>\n<p>Vista lista leads con grouping e filter avanzati. Pareto analysis per source, segmentation per criteria, conversion rate per channel. Marketing-sales alignment dashboard:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brentasoft.com\/blog\/wp-content\/uploads\/2026\/06\/odoo-rpt-03-leads.png\" alt=\"Leads aggregate report CRM Odoo 19 PMI italiane marketing\" class=\"aligncenter size-full wp-image-3766\"\/><\/p>\n<ul>\n<li>Group by source\/campaign\/team<\/li>\n<li>Filter by date range<\/li>\n<li>Conversion rate per group<\/li>\n<li>Cost per lead computation<\/li>\n<li>Revenue attribution<\/li>\n<li>ROI marketing channel<\/li>\n<li>Pivot table flexible<\/li>\n<\/ul>\n<h2>Team performance dashboard<\/h2>\n<p>Per ogni team\/rep: opportunity count, revenue weighted, win rate, average deal size, cycle time. Comparison tra rep + tra periodi. Identify top performer + struggling. Base per coaching:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brentasoft.com\/blog\/wp-content\/uploads\/2026\/06\/odoo-rpt-04-team.png\" alt=\"Team performance dashboard CRM Odoo 19 PMI italiane sales\" class=\"aligncenter size-full wp-image-3767\"\/><\/p>\n<ul>\n<li>Opportunity count per rep<\/li>\n<li>Weighted revenue per rep<\/li>\n<li>Win rate per rep<\/li>\n<li>Average deal size per rep<\/li>\n<li>Cycle time per rep<\/li>\n<li>Activity volume per rep<\/li>\n<li>Quota attainment %<\/li>\n<\/ul>\n<h2>Sales KPI dashboard executive<\/h2>\n<p>Dashboard high-level per CEO\/CFO: revenue trend, pipeline coverage, forecast vs target, top customers, churn risk. Refresh real-time. One screen for executive decisions:<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/brentasoft.com\/blog\/wp-content\/uploads\/2026\/06\/odoo-rpt-05-kpi.png\" alt=\"Sales KPI executive dashboard CRM Odoo 19 PMI italiane\" class=\"aligncenter size-full wp-image-3768\"\/><\/p>\n<ul>\n<li>Revenue MTD\/QTD\/YTD<\/li>\n<li>Forecast vs target gap<\/li>\n<li>Pipeline coverage ratio<\/li>\n<li>Win rate trending<\/li>\n<li>Customer concentration<\/li>\n<li>New business vs renewal<\/li>\n<li>Cash conversion cycle<\/li>\n<\/ul>\n<h2>Le 10 metriche essenziali CRM<\/h2>\n<h3>Top-of-funnel<\/h3>\n<ul>\n<li><strong>1. Lead volume<\/strong>: contatti generati per period<\/li>\n<li><strong>2. Cost per lead<\/strong>: spend marketing \/ lead<\/li>\n<li><strong>3. Lead-to-MQL conversion<\/strong>: % qualified<\/li>\n<\/ul>\n<h3>Middle funnel<\/h3>\n<ul>\n<li><strong>4. MQL-to-SQL conversion<\/strong>: sales accept rate<\/li>\n<li><strong>5. Opportunity count<\/strong>: qualified deals<\/li>\n<li><strong>6. Average deal size<\/strong>: revenue per opp<\/li>\n<\/ul>\n<h3>Bottom funnel<\/h3>\n<ul>\n<li><strong>7. Win rate<\/strong>: closed-won \/ total closed<\/li>\n<li><strong>8. Sales cycle length<\/strong>: days creation \u2192 close<\/li>\n<li><strong>9. Sales velocity<\/strong>: (opp \u00d7 value \u00d7 win%) \/ cycle<\/li>\n<\/ul>\n<h3>Health<\/h3>\n<ul>\n<li><strong>10. Pipeline coverage<\/strong>: pipeline value \/ target ratio<\/li>\n<\/ul>\n<h2>Win\/Loss analysis<\/h2>\n<h3>Loss reasons aggregate<\/h3>\n<ul>\n<li>Top 5 reasons per losing<\/li>\n<li>Percentage per reason<\/li>\n<li>Trend over time<\/li>\n<li>Per segment\/product<\/li>\n<\/ul>\n<h3>Win patterns<\/h3>\n<ul>\n<li>Common characteristics deals won<\/li>\n<li>Product mix preferred<\/li>\n<li>Decision factors<\/li>\n<li>Cycle time average<\/li>\n<\/ul>\n<h3>Actionable insights<\/h3>\n<ul>\n<li>Identify problem stages (high loss)<\/li>\n<li>Training needs per loss reason<\/li>\n<li>Product positioning adjust<\/li>\n<li>Pricing strategy refinement<\/li>\n<\/ul>\n<h2>Sales velocity formula<\/h2>\n<h3>La formula<\/h3>\n<ul>\n<li>SV = (Opp \u00d7 Average Deal \u00d7 Win Rate) \/ Sales Cycle<\/li>\n<li>Esempio: (100 \u00d7 25k \u00d7 25%) \/ 60 days = 10.4k \u20ac\/day<\/li>\n<li>Single metric che cattura sales health<\/li>\n<\/ul>\n<h3>Improvement levers<\/h3>\n<ul>\n<li>Aumentare opportunities: marketing + outbound<\/li>\n<li>Aumentare deal size: upsell + premium<\/li>\n<li>Aumentare win rate: training + qualifying<\/li>\n<li>Ridurre cycle: process + automation<\/li>\n<\/ul>\n<h2>Dashboard customization<\/h2>\n<h3>Custom views<\/h3>\n<ul>\n<li>Pivot table flexible<\/li>\n<li>Graph view (bar, pie, line)<\/li>\n<li>Kanban customizable<\/li>\n<li>List with grouping<\/li>\n<\/ul>\n<h3>Custom filters<\/h3>\n<ul>\n<li>Save filter for reuse<\/li>\n<li>Share filter con team<\/li>\n<li>Filter combinabili<\/li>\n<li>Domain logic Python<\/li>\n<\/ul>\n<h3>Studio for custom dashboard<\/h3>\n<ul>\n<li>Drag-and-drop builder<\/li>\n<li>Multiple widget types<\/li>\n<li>KPI cards<\/li>\n<li>Real-time refresh<\/li>\n<\/ul>\n<h2>External BI integration<\/h2>\n<h3>Quando serve<\/h3>\n<ul>\n<li>Multi-source data (CRM + ERP + marketing)<\/li>\n<li>Advanced analytics (predictive)<\/li>\n<li>Cross-functional dashboard<\/li>\n<li>Stakeholder esterni (board, investor)<\/li>\n<\/ul>\n<h3>Tool comuni<\/h3>\n<ul>\n<li>Power BI: Microsoft ecosystem<\/li>\n<li>Tableau: enterprise grade<\/li>\n<li>Metabase: open source<\/li>\n<li>Looker Studio: free + GCP<\/li>\n<\/ul>\n<h3>Integration<\/h3>\n<ul>\n<li>Odoo API REST\/XML-RPC<\/li>\n<li>Direct database query<\/li>\n<li>Scheduled extracts<\/li>\n<li>Real-time webhooks<\/li>\n<\/ul>\n<h2>Errori comuni reporting CRM<\/h2>\n<h3>&#8220;Vanity metrics&#8221;<\/h3>\n<p><strong>Problema<\/strong>: track lead volume only, no conversion measurement.<br \/>\n<strong>Soluzione<\/strong>: focus actionable metrics + full funnel view.<\/p>\n<h3>&#8220;Reports senza action&#8221;<\/h3>\n<p><strong>Problema<\/strong>: dashboard guardati, nulla cambia.<br \/>\n<strong>Soluzione<\/strong>: weekly review + specific action items.<\/p>\n<h3>&#8220;Data quality scarsa&#8221;<\/h3>\n<p><strong>Problema<\/strong>: report based on incomplete\/dirty data.<br \/>\n<strong>Soluzione<\/strong>: data hygiene rules + cleanup periodico.<\/p>\n<h3>&#8220;Troppi KPI&#8221;<\/h3>\n<p><strong>Problema<\/strong>: 50 metriche, nessuna actionable.<br \/>\n<strong>Soluzione<\/strong>: focus 10 essenziali, monitor weekly.<\/p>\n<h3>&#8220;No win\/loss analysis&#8221;<\/h3>\n<p><strong>Problema<\/strong>: lost deal closed senza learning.<br \/>\n<strong>Soluzione<\/strong>: structured win\/loss review process.<\/p>\n<h2>Casi pratici PMI italiane<\/h2>\n<h3>Caso 1 \u2014 SaaS: data-driven culture<\/h3>\n<ul>\n<li>10 KPI essential tracked weekly<\/li>\n<li>Win\/loss review monthly<\/li>\n<li>Sales velocity benchmark<\/li>\n<li>Sales productivity +35% in 18 mesi<\/li>\n<\/ul>\n<h3>Caso 2 \u2014 Manifattura B2B: pipeline coverage<\/h3>\n<ul>\n<li>3.5x pipeline coverage target<\/li>\n<li>Quarterly review strategic<\/li>\n<li>Loss reason analysis triggers<\/li>\n<li>Win rate +12 points<\/li>\n<\/ul>\n<h3>Caso 3 \u2014 Servizi: forecast accuracy<\/h3>\n<ul>\n<li>Weekly forecast review<\/li>\n<li>Accuracy 30gg: 92%<\/li>\n<li>Coaching basato su data<\/li>\n<li>Investor confidence<\/li>\n<\/ul>\n<h3>Caso 4 \u2014 E-commerce B2B: real-time<\/h3>\n<ul>\n<li>Dashboard always-on<\/li>\n<li>Alert su anomalie<\/li>\n<li>Action immediate<\/li>\n<li>Sales velocity +50%<\/li>\n<\/ul>\n<h2>FAQ<\/h2>\n<h3>Reporting Community vs Enterprise?<\/h3>\n<p>Community: list, pivot, graph view native. Enterprise: dashboard, charts avanzati, Studio customization. PMI tipica: Community sufficiente per setup base, Enterprise per scaling.<\/p>\n<h3>Sales velocity quanto target?<\/h3>\n<p>Industry-specific. SaaS: 1-3k \u20ac\/giorno per rep. Manifattura: variable, valore alto. Track over time + benchmark interno.<\/p>\n<h3>Pipeline coverage ratio ideale?<\/h3>\n<p>3-4x quota tipico. Sotto 2x: rischio missed quota. Sopra 5x: forse low quality opp inflate. Sweet spot 3-4x.<\/p>\n<h3>Quanto spesso review reports?<\/h3>\n<p>Daily: tactical metrics (pipeline, activities). Weekly: forecast, team performance. Monthly: strategic (win\/loss, velocity). Quarterly: deep dive.<\/p>\n<h3>Posso esportare reports per board?<\/h3>\n<p>S\u00ec, multi-format: PDF, Excel, immagine. Schedule auto-send (Enterprise). Custom branding template. Insight summary writing tip.<\/p>\n<h2>Prossimi passi<\/h2>\n<p>Nella prossima guida (11\/15 serie CRM) vedremo <strong>multi-team sales organization<\/strong>: setup teams, permissions, territory management, lead routing inter-team, KPI per team.<\/p>\n<p style=\"margin-top:30px;background:#f4f4f8;padding:18px;border-radius:8px;\"><strong>Vuoi sales data-driven nella tua PMI?<\/strong><br \/>\nG Tech Group implementa reporting + analytics CRM Odoo per PMI italiane: dashboard custom, KPI framework, win\/loss analysis, coaching data-driven. Track record di sales velocity +30-50% post-implementation.<br \/>\n<a href=\"https:\/\/brentasoft.com\/preventivatore.php\"><strong>Richiedi un preventivo gratuito<\/strong><\/a> oppure prova la nostra <a href=\"https:\/\/odoo.brentasoft.com\/\">demo Odoo 19 live<\/a>. Oppure <a href=\"https:\/\/www.odoo.com?utm_campaign=partner-d192ce8a&amp;utm_source=partner_ref\" target=\"_blank\" rel=\"noopener noreferrer\">prova Odoo direttamente su odoo.com<\/a> (link partner Brentasoft).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ottantatreesima guida Odoo 19, decima serie CRM: reporting + analytics. Pipeline analytics, team performance, KPI executive, sales velocity, win\/loss, casi pratici.<\/p>\n","protected":false},"author":2,"featured_media":3764,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_titles_title":"Reporting CRM Odoo: analytics PMI italiane","_seopress_titles_desc":"Reporting + analytics CRM Odoo 19 per PMI italiane: dashboard, KPI executive, sales velocity, win\/loss analysis, casi pratici.","_seopress_robots_index":"","_seopress_robots_follow":"","_seopress_robots_imageindex":"","_seopress_robots_snippet":"","_seopress_robots_primary_cat":"","_seopress_robots_breadcrumbs":"","_seopress_robots_freeze_modified_date":"","_seopress_robots_custom_modified_date":"","_seopress_robots_canonical":"https:\/\/brentasoft.com\/blog\/reporting-analytics-crm-odoo-19-pmi-italiane-guida-10\/","_seopress_social_fb_title":"","_seopress_social_fb_desc":"","_seopress_social_fb_img":"https:\/\/brentasoft.com\/blog\/wp-content\/uploads\/2026\/06\/odoo-rpt-01-pipeline.png","_seopress_social_fb_img_attachment_id":0,"_seopress_social_fb_img_width":0,"_seopress_social_fb_img_height":0,"_seopress_social_twitter_title":"","_seopress_social_twitter_desc":"","_seopress_social_twitter_img":"","_seopress_social_twitter_img_attachment_id":0,"_seopress_social_twitter_img_width":0,"_seopress_social_twitter_img_height":0,"_seopress_redirections_value":"","_seopress_redirections_enabled":"","_seopress_redirections_enabled_regex":"","_seopress_redirections_logged_status":"","_seopress_redirections_param":"","_seopress_redirections_type":0,"_seopress_analysis_target_kw":"","footnotes":""},"categories":[1,689],"tags":[],"class_list":["post-3769","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-crm","category-guide-odoo"],"_links":{"self":[{"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/posts\/3769","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/comments?post=3769"}],"version-history":[{"count":0,"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/posts\/3769\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/media\/3764"}],"wp:attachment":[{"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/media?parent=3769"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/categories?post=3769"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brentasoft.com\/blog\/wp-json\/wp\/v2\/tags?post=3769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}