{"id":1260,"date":"2026-09-14T14:00:00","date_gmt":"2026-09-14T19:00:00","guid":{"rendered":"https:\/\/www.seomos.com\/?p=1260"},"modified":"2026-09-17T16:08:09","modified_gmt":"2026-09-17T21:08:09","slug":"que-es-un-mapa-de-calor","status":"publish","type":"post","link":"https:\/\/www.seomos.com\/en\/blog\/que-es-un-mapa-de-calor\/","title":{"rendered":"Website Heatmaps and How to Interpret Clicks, Scroll Depth, and Friction"},"content":{"rendered":"
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A web heat map is an aggregated visualization that uses color to represent where clicks, scrolling, attention, or other interactions are concentrated.<\/strong> It's useful for identifying patterns, not for reading the user's mind. An intense area might indicate interest, confusion, or simply greater exposure; it needs segmentation, analytics, and qualitative observation before becoming a decision.<\/p>\n<\/div>\n

Heatmaps make a large set of actions visible on a representation of the page. Their appeal is also their risk: a red patch can appear as a definitive answer even if it mixes different devices, versions, campaigns, and objectives.<\/p>\n

What is a web heat map<\/h2>\n

It's a density layer calculated over a page or its elements. More intense colors usually indicate higher relative frequency; the exact scale depends on the tool and filter. It doesn't equate to actual temperature and doesn't always represent unique users.<\/p>\n

In UX and CRO, it's used to detect ignored elements, clicks on non-interactive objects, reading depth, and differences between segments. It must be analyzed on the correct URL, version, and device.<\/p>\n

Types of heat maps<\/h2>\n

Click map.<\/strong> It adds clicks or taps. It helps find used controls, ignored links, and "dead clicks." One click doesn't demonstrate satisfaction.<\/p>\n

Scroll map.<\/strong> It shows what proportion reaches different depths. The drop-off is natural on long pages; interpret whether the essential content appears before the abandonment.<\/p>\n

Map by areas or elements.<\/strong> It groups interaction by component, which is more stable than coordinates when the design is responsive.<\/p>\n

Attention or movement map.<\/strong> Some tools estimate dwell time or use cursor movement. The cursor is not eye tracking and should not be presented as such.<\/p>\n

Conversion map.<\/strong> Compare the behavior of those who perform an action. A visual association does not prove causation.<\/p>\n

\"P\u00e1gina
Click map and scroll map observe different phenomena.<\/figcaption><\/figure>\n

What they show and what they don't show<\/h2>\n

They show concentration, distribution, and, depending on the solution, aggregated sequence. They can reveal that the CTA receives few clicks, that an image appears interactive, or that most users don't reach a table.<\/p>\n

They don't explain intent, understanding, or motivation. A frequently clicked button might work or generate repeated errors. A cold section might be irrelevant or resolve the question without interaction. To answer "why," supplement with authoritative recordings, usability tests, surveys, and event data.<\/p>\n

How to prepare a reliable analysis<\/h2>\n
    \n
  1. Ask a question: \u201cDo people find the selector?\u201d is better than \u201cLet\u2019s look at the heatmap.\u201d.<\/li>\n
  2. Choose page, period and version without mixing redesigns.<\/li>\n
  3. Separate mobile, tablet and desktop.<\/li>\n
  4. Filter by source, country, new or returning customer, and result when possible.<\/li>\n
  5. Check that banners, menus, and dynamic content are displayed correctly.<\/li>\n
  6. Define minimum volume; few events produce unstable patterns.<\/li>\n
  7. Record consent, masking, and access.<\/li>\n<\/ol>\n

    Microsoft Clarity offers click maps, scroll maps, area maps, conversion and attention maps, as well as filters and comparison tools. Capabilities change, so it's advisable to document the version and configuration.<\/p>\n

    How to interpret a map step by step<\/h2>\n

    Describe without explaining.<\/strong> \u201cThe 18% of visible clicks falls on the image\u201d is an observation; \u201cthey think it is a button\u201d is a hypothesis.<\/p>\n

    Check exposure.<\/strong> A low-priority element receives fewer opportunities. Relate clicks to views of the element, not just sessions.<\/p>\n

    Review segments.<\/strong> A moving pattern can disappear on a desktop. Blending them produces a non-existent average.<\/p>\n

    Contrast events.<\/strong> Check navigation, errors, abandonment, and conversion in analytics. A bright color should correspond to the actual event.<\/p>\n

    Observe relevant sessions.<\/strong> Select examples that contain the pattern, without turning a few recordings into statistics.<\/p>\n

    Formulate an intervention.<\/strong> Change label, hierarchy, or interaction for an explicit reason and define how to measure it.<\/p>\n

    \"Proceso
    The discipline separates observed pattern, hypothesis, and validated result.<\/figcaption><\/figure>\n

    Use cases in UX and conversion<\/h2>\n

    Landing page.<\/strong> Check if the proposal, evidence, and CTA appear before the drop; don't upload everything automatically.<\/p>\n

    Ecommerce.<\/strong> Detects interaction with gallery, variants, filters, and shipping. Cross-references with add-to-cart and errors.<\/p>\n

    Content.<\/strong> Note the use of the index, links, and depth. A sufficient reading can be completed before the end.<\/p>\n

    Forms.<\/strong> Identify attempts to get help and drop out by step. Do not capture sensitive text.<\/p>\n

    Navigation.<\/strong> Find searched categories or clicks on non-interactive labels.<\/p>\n

    The work belongs to a broader practice of UX\/UI design<\/a>Accessibility, research, and architecture remain essential.<\/p>\n

    How to combine heatmaps with other methods<\/h2>\n

    Event analytics.<\/strong> It answers how many people advanced, dropped out, or converted. The map indicates where the interaction was concentrated, but it doesn't preserve the entire sequence on its own. Define event names and check for duplicates before crossing them.<\/p>\n

    Session recordings.<\/strong> They allow you to observe examples of the journey and discover states that the aggregate hides. Select sessions by event or pattern, avoid viewing hours without prompting, and maintain the same privacy restrictions. One recording illustrates; it does not represent a proportion.<\/p>\n

    Usability testing.<\/strong> A person performs a task and explains difficulties. The study may reveal vocabulary, expectations, and mental models that color does not contain. It includes relevant market participants and devices.<\/p>\n

    Surveys and interviews.<\/strong> They provide stated motivation, but are subject to memory and selection. Compare what people say with what they were able to complete.<\/p>\n

    Experiments.<\/strong> An A\/B test can estimate the effect of a change if there is traffic, correct allocation, and a pre-existing metric. Don't test a solution just because it "cools down" an area; test whether it improves the task.<\/p>\n

    Triangulation increases confidence when different methods point to the same source of friction. If they contradict each other, don't average them immediately: review segments, dates, definitions, and instrumentation quality.<\/p>\n

    How to audit the installation before trusting the map<\/h2>\n
      \n
    1. Verify that the tag only loads under the defined consent rules.<\/li>\n
    2. Open a representative page and verify that the tool recognizes the canonical URL.<\/li>\n
    3. Test navigation, modals, accordions, filters, and state changes.<\/li>\n
    4. It confirms that entries, names, emails, orders, and private areas remain masked.<\/li>\n
    5. Check URL parameters: some may contain identifiers or fragment the same design.<\/li>\n
    6. Exclude internal traffic or, if that is not possible, identify it to avoid contaminating decisions.<\/li>\n
    7. Compare instrumented clicks with independent events over a short period.<\/li>\n
    8. Document owner, access, retention and disposal procedure.<\/li>\n<\/ol>\n

      After a redesign, create a temporary cut. Overlaying the old and new DOMs can place interactions on the wrong elements. Keep the previous evidence for reference and start with a clean view for the published version.<\/p>\n

      Questions that it can help answer<\/h2>\n

      A useful analysis starts with focused questions: What filters do mobile shoppers use? Do people try to open images? What percentage meet the requirements before starting the form? Does a secondary CTA distract from the primary one? Is the table consulted before converting?<\/p>\n

      Turn each question into a segment, page, interaction, and metric. For \u201cCan you find the date picker?\u201d, measure component views, attempts, successful opens, errors, and progress. The map provides spatial distribution; the event confirms the result.<\/p>\n

      Avoid questions that require directly reading intent, such as \u201cWhy don\u2019t they trust?\u201d The map can pinpoint where dropouts occur; interviews, tests, and content evidence explore trust.<\/p>\n

      Privacy and security<\/h2>\n

      Before installing a tag, define its purpose, applicable legal basis, consent requirements, retention period, provider, and access. Do not send passwords, medical information, payments, or unnecessary personal data.<\/p>\n

      Clarity indicates that it masks sensitive content and input fields, and allows for additional rules; changes are not retroactive. It validates in production and treats masking as a layer, not as universal authorization.<\/p>\n

      Google also prohibits sending personally identifiable information to Analytics and outlines information and consent responsibilities. Review the regulations of the markets you serve with appropriate advice.<\/p>\n

      Technical limitations<\/h2>\n

      Responsive designs change positions; coordinate maps can become misaligned. SPAs, modals, authenticated states, personalization, and infinite scrolling require separate filters or captures. Third-party iframes may be excluded; Clarity, for example, distinguishes between its own and external iframes.<\/p>\n

      A sample biased by consent or blocking does not represent the entire audience. Report coverage, but do not infer total accuracy.<\/p>\n

      Hypothetical example<\/h2>\n

      Hypothetical example.<\/strong> On mobile, a service page receives repeated clicks on a price card that doesn't open anything. The team describes the pattern, reviews authorized recordings, and discovers attempts to view details.<\/p>\n

      The hypothesis is that the card appears expandable. A version with a "View Scope" link and another with a less interactive design are being tested. Success is defined by detailed visits and qualified forms, not solely by reducing dead clicks.<\/p>\n

      Another finding shows that few reach testimonials. Instead of moving them up, it's found that most convert first. The section isn't a priority. The map avoided a modification based on preference.<\/p>\n

      \"Matriz
      Frequency, severity, value, and effort allow us to order hypotheses.<\/figcaption><\/figure>\n

      How to prioritize findings<\/h2>\n

      Rate each finding by scope, severity, journey value, trust, and effort. A frequent dead click at checkout often outperforms a footer curiosity. Include technical risk and accessibility.<\/p>\n

      Keep a record with the evidence, segment, capture, hypothesis, change, metric, and result. After publishing, measure again using a comparable timeframe. If only the color changed and not the task, the hypothesis is not validated.<\/p>\n

      How to present the finding to the team<\/h2>\n

      An actionable report shows the page and version, time period, device, segment, sample size, and metric definition. It includes a screenshot with context, not just the red clipping, and clearly separates "we observed," "we assumed," and "we proposed to verify.".<\/p>\n

      Explain the risk of inaction and the risk of the solution. Changing a CTA can affect accessibility, analytics, campaigns, and content. Assign responsibility, a deadline, and a closure condition. If the evidence is weak, the next step may be to gather data, not redesign.<\/p>\n

      After the change, it retains the baseline and compares the same segment. It reports whether the hypothesis was confirmed, remained inconclusive, or resulted in a regression. In this way, the heat map becomes a record of decisions and not just a collection of eye-catching snapshots.<\/p>\n

      Common mistakes<\/h2>\n