{"id":4596,"date":"2026-01-15T13:34:51","date_gmt":"2026-01-15T13:34:51","guid":{"rendered":"https:\/\/palmer-consulting.com\/heatmap-tools-customizable-dashboards\/"},"modified":"2026-01-15T13:34:51","modified_gmt":"2026-01-15T13:34:51","slug":"heatmap-tools-customizable-dashboards","status":"publish","type":"post","link":"https:\/\/palmer-consulting.com\/en\/heatmap-tools-customizable-dashboards\/","title":{"rendered":"Heatmap tools Customizable dashboards"},"content":{"rendered":"

Heatmap tools with customizable dashboards<\/h2>\n

Customization of reports and dashboards is essential to adapt the tool to the needs of each team. This makes it possible to track specific indicators and share insights with different departments (marketing, product, design). <\/p>\n

Tools and customization<\/h3>\n
\n
\n\n\n\n\n\n\n\n\n
Tool<\/th>\nCustomization capabilities<\/th>\nAdditional benefits<\/th>\nQuote<\/th>\n<\/tr>\n<\/thead>\n
Matomo<\/strong><\/td>\nHighly customizable dashboards; ability to create custom widgets and reports tailored to corporate KPIs.<\/td>\nConfidentiality respected with in-house hosting; total data control.<\/td>\n<\/td>\n<\/tr>\n
Hotjar<\/strong><\/td>\nConfigurable dashboard for grouping heat maps, registrations and feedback according to custom filters.<\/td>\nIntegration of surveys and feedback tools; HubSpot\/Slack\/Zapier connectors.<\/td>\n<\/td>\n<\/tr>\n
Lucky Orange<\/strong><\/td>\nUnified dashboard combining heatmaps, replays, chat and polls; customizable order and display.<\/td>\nAnnouncements and live chat to interact with visitors.<\/td>\n<\/td>\n<\/tr>\n
Smartlook<\/strong><\/td>\nExportable reports and customized segments; ability to tag sessions and create dedicated views for each team.<\/td>\nAPI to connect CRM and marketing automation tools.<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

In-depth analysis and customization strategy<\/h3>\n

The ability to customize dashboards is crucial to meeting the specific needs of marketing, product and management teams. Heatmap tools offer reporting modules that can be tailored to particular KPIs (key performance indicators), making it easier to track and communicate results. In this section, we take an in-depth look at tools with an emphasis on customization, and describe best practices for creating effective dashboards. <\/p>\n

Matomo: flexibility and confidentiality<\/h4>\n

Matomo<\/strong> (formerly Piwik) is an open source platform offering great flexibility. Users can create customized reports by combining different widgets (click graphs, visit statistics, conversions). Dashboards can be saved and shared with different teams, each with access to the relevant data. For example, a marketing team can focus on traffic sources and conversions, while a product team visualizes interactions with specific features. By hosting Matomo in-house, the company retains full control of the data, which is essential for organizations that must adhere to strict confidentiality rules (e.g. medical or public sector). Matomo also offers a heatmap and session recording plugin, enabling behavioral analysis to be combined with quantitative metrics. Reports can be exported as PDFs or integrated with other tools via the API. <\/p>\n

Hotjar: easy customization and feedback sharing<\/h4>\n

Hotjar<\/strong> offers modular dashboards that bring together heatmaps, replays and survey results. Users can organize widgets, apply filters (by page, segment, device) and save customized views. Reports can be shared via a link or exported as images for presentations. Hotjar also enables user feedback (survey responses) to be integrated directly into the dashboard, so that teams can access comments without leaving the tool. For companies that want a quick, visual overview of behavior and feedback, Hotjar is ideal. The tool also offers an API for extracting data and visualizing it in other dashboards (e.g., Tableau, Power BI). <\/p>\n

Lucky Orange: a unified, interactive dashboard<\/h4>\n

Lucky Orange<\/strong> offers a unified dashboard combining heatmaps, session replays, live chats and polls. Each widget can be moved and resized according to priorities. Site owners can see at a glance the number of online visitors, the most active pages and current polls. The interactive dashboard also enables messages to be answered directly via chat, which is particularly useful for support and sales teams. Data can be filtered by date, device and traffic source. For non-technical users, this customization makes it possible to create a tailor-made report without complex configuration. <\/p>\n

Smartlook: tags, segments and an open API<\/h4>\n

Smartlook<\/strong> lets you tag sessions, create customized segments and export reports. Dashboards can include metrics on event funnels, interactions per page and sessions with friction. Tags offer a flexible way of grouping sessions (e.g. “visitors who purchased”, “users who completed a form”). Reports can be exported via CSV or connected to visualization tools via the open API. For product teams wishing to analyze cohorts or integrate data with BI platforms, Smartlook is an effective solution. <\/p>\n

Other customization tools<\/h4>\n
    \n
  • \n

    Plerdy<\/strong>: offers an e-commerce dashboard where each widget is dedicated to a precise indicator (product clicks, cart abandonment rates, CTA positions). The ability to customize these widgets according to the company’s criteria makes the tool suitable for online sales sites. <\/p>\n<\/li>\n

  • \n

    VWO Insights<\/strong>: integrates A\/B test, personalization and heatmap data into a central dashboard. Users can filter results by test variant, visitor group or behavioral segment. <\/p>\n<\/li>\n

  • \n

    FullStory<\/strong>: although more complex, FullStory provides “insight dashboards” that automatically display anomalies and friction points. These dashboards can be adapted to highlight the metrics most relevant to the product. <\/p>\n<\/li>\n

  • \n

    Data Studio \/ Looker<\/strong>: many companies export heatmap data via API for visualization in Google Data Studio, Looker or Tableau. This approach enables data from multiple sources (CRM, GA, heatmaps) to be cross-referenced in a single report. <\/p>\n<\/li>\n<\/ul>\n

    Creating an effective dashboard<\/h4>\n
      \n
    1. \n

      Define objectives<\/strong>: list the questions the dashboard needs to answer (e.g. “How are our CTAs performing?”, “Which segments convert the most?”). This will help you select the widgets that are most relevant. <\/p>\n<\/li>\n

    2. \n

      Choose key indicators<\/strong>: limit the number of indicators to avoid information overload. Prefer metrics linked to objectives (conversion rate, average scroll, number of rage-clicks) and avoid vanity metrics if they don’t bring action. <\/p>\n<\/li>\n

    3. \n

      Organize the hierarchy of information<\/strong>: place the most important indicators at the top and use colors to signal alerts or trends. An effective dashboard should enable you to identify problems quickly. <\/p>\n<\/li>\n

    4. \n

      Update and automate<\/strong>: ensure that the dashboard automatically updates with the latest data. If possible, set up alerts that are triggered when certain thresholds are reached (e.g. a drop in the click-through rate on a CTA). <\/p>\n<\/li>\n

    5. \n

      Share and comment<\/strong>: use sharing features to distribute the dashboard to all stakeholders. Encourage comments and discussions to turn data into action. <\/p>\n<\/li>\n<\/ol>\n

      Use cases<\/h4>\n
        \n
      1. \n

        Product campaign tracking<\/strong>: a marketing team creates a dashboard in Matomo to track the performance of a campaign. They include a traffic widget, a landing page heatmap widget and a conversions widget. Every day, it checks whether the hot zones correspond to the elements highlighted, and adjusts the design accordingly. <\/p>\n<\/li>\n

      2. \n

        Engagement analysis in a SaaS application<\/strong>: the product team of an online software application uses Smartlook to tag sessions where users use a new feature. The dashboard displays the number of tagged sessions, the average duration of use and the retention rate. Thanks to this report, the team is able to identify that the feature is little used on mobile, prompting them to optimize the mobile interface. <\/p>\n<\/li>\n

      3. \n

        Report to management<\/strong>: a marketing manager creates a Hotjar dashboard that summarizes the evolution of interactions on the home page, the satisfaction score (via surveys) and the conversion rate. In just a few clicks, he shares a PDF report with management. This visual report facilitates decision-making at strategic meetings. <\/p>\n<\/li>\n<\/ol>\n

        Conclusion<\/h3>\n

        For companies wishing to tailor their reports to specific indicators, Matomo<\/strong> stands out for its advanced customization capabilities and respect for confidentiality. Hotjar<\/strong> and Lucky Orange<\/strong> offer intuitive dashboards with external integrations, while Smartlook<\/strong> offers customizable tags and segments and a powerful API. Other tools such as Plerdy<\/strong>, VWO Insights<\/strong> and FullStory<\/strong> complete the offering. By following a clear strategy for defining objectives, selecting indicators and sharing data, companies can transform their dashboards into real levers for action.
        \nBeyond tools and best practices, the key to success is collaboration between teams. Dashboards must be conceived as a common language between marketing, product and management. By involving stakeholders in the definition of KPIs and regularly sharing insights from heatmaps and replays, companies ensure that every decision is aligned with strategic objectives. Personalization should not be perceived as aesthetic personalization alone; it involves selecting the data that brings value to each stakeholder, and presenting this information in a clear, actionable way. By adopting this collaborative approach, organizations can transform data visualization into an engine of transformation. <\/p>\n","protected":false},"excerpt":{"rendered":"

        Heatmap tools with customizable dashboards Customization of reports and dashboards is essential to adapt the tool to the needs of each team. This makes it possible to track specific indicators and share insights with different departments (marketing, product, design). Tools and customization Tool Customization capabilities Additional benefits Quote Matomo Highly customizable dashboards; ability to create […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[76],"tags":[],"class_list":["post-4596","post","type-post","status-publish","format-standard","hentry","category-customer-marketing"],"acf":[],"yoast_head":"\nHeatmap tools Customizable dashboards | Palmer<\/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:\/\/palmer-consulting.com\/en\/heatmap-tools-customizable-dashboards\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Heatmap tools Customizable dashboards | Palmer\" \/>\n<meta property=\"og:description\" content=\"Heatmap tools with customizable dashboards Customization of reports and dashboards is essential to adapt the tool to the needs of each team. 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