10 UX Statistics in 2025

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Using the Plerdy tool, you can track user sessions and interactions daily. It has a free feature for a quick UX check and the functionality for more profound usability research you can access after installing the Plerdy tracking code. This data lets you detect UX bottlenecks on your website to enhance its usability. The better the user experience, the more converted leads. <br> Discover the latest user experience (UX) stats for 2025. These findings are based on the data collected on thousands of websites. They show typical behavioral patterns to mind for user experience optimization.</p> <div class="foot_share"> <ul class="share-list"> <li class="soc_share">Share with others:</li> <li class="soc_f"> <a target="_blank" href='https://www.facebook.com/sharer.php?u=www.plerdy.com/user-experience-statistics/' onclick="ga('send', 'event', 'social', 'fb_share', 'https://www.plerdy.com/user-experience-statistics/');"></a> </li> <li class="soc_t"> <a target="_blank" href='https://twitter.com/intent/tweet?url=www.plerdy.com/user-experience-statistics/' data-counturl='https://dev.twitter.com/web/tweet-button' onclick="ga('send', 'event', 'social', 'twitter_share', 'https://www.plerdy.com/user-experience-statistics/');"> </a> </li> <li class="soc_l"> <a target="_blank" href='https://www.linkedin.com/shareArticle?url=www.plerdy.com/user-experience-statistics/' onclick="ga('send', 'event', 'social', 'LinkedIn_share', 'https://www.plerdy.com/user-experience-statistics/');"> </a> </li> <li class="soc_d"> <a target="_blank" href='https://bufferapp.com/add?phase=2%20&url=https://www.plerdy.com/user-experience-statistics/' onclick="ga('send', 'event', 'social', 'digg', 'https://www.plerdy.com/user-experience-statistics/');"> </a> </li> </ul> </div> </div> <div class="col_start col_start_img"> <div class="w_foto_circus"> <div class="w_foto_small w_foto_small1"> <img src="/wp-content/themes/twentytwenty/images/stats/stats1.png" alt="" loading="lazy"> </div> <div class="w_foto_small w_foto_small2"> <img src="/wp-content/themes/twentytwenty/images/stats/stats2.png" alt="" loading="lazy"> </div> <div class="w_foto_small w_foto_small3"> <img src="/wp-content/themes/twentytwenty/images/stats/stats3.png" alt="" loading="lazy"> </div> <div class="w_foto_small w_foto_small4"> <img src="/wp-content/themes/twentytwenty/images/stats/stats4.png" alt="" loading="lazy"> </div> </div> </div> </div> </div> </section> <section class="statistics_based"> <div class="container"> <div class="row_case"> <div class="title_block">UX Statistics Based On Plerdy Data</div> <div class="row_case_number"> <div class="col_case" id="counter-container"> <span class="after_m count">4</span> <b>Total clicks</b> </div> <div class="col_case"> <span class="after_k count">907</span> <b>User sessions</b> </div> <div class="col_case"> <span class="after_k count">125</span> <b>Sessions that scrolled to the last part of the page</b> </div> <div class="col_case"> <span class="after_m count">8</span> <b>Total cursor movements</b> </div> </div> </div> </div> </section> <section class="bg_angle page_stats"> <div class="container"> <div class="row_grafik"> <div class="col_description"> <div class="title_block">Statistics on clicks</div> <p>We can see that the correlation between mobile and desktop clicks varies depending on the day. On weekends, people are more likely to browse on mobile devices. They also rarely use tablets in general. You must also track where visitors click. If some items don't get interactions, the usability (UX) may be bad, so you need to enhance the user experience.</p> </div> <div class="block_stats item_s_1"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 5,532,877 </div> <div class="body-info-text"> Total clicks </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_red math_round"> 2,929,471 </div> <div class="body-info-text">Mobile</div> </div> <div class="body-info-right"> <div class="mark_green math_round"> 80,130 </div> <div class="body-info-text">Tablet</div> </div> <div class="body-info-right"> <div class="mark_blue math_round"> 2,523,276 </div> <div class="body-info-text">Desktop</div> </div> </div> </div> <div id="chart1"></div> <script> var options = { series: [{ name: 'Mobile', data: [3521934,3523049,3476366,3483826,3224874,3646315,3969576,3544817,3362001,3045129,2993517,2900628,3166763,3249353,2845827,2738407,2856259,2830485,2751742,2980544,3175825,2985622,3102143,2934851,2951618,2924979,3078801,3195924,2929471] }, { name: 'Desktop', data: [2606517,2602885,2536330,2608990,2311028,1532346,1632053,2485651,2619833,2534054,2505055,2348561,1487877,1476548,2544669,2535580,2534432,2489262,2341872,1587247,1651543,2574216,2670826,2504977,2563918,2333646,1402700,1483130,2523276] }, { name: 'Tablet', data: [88249,93297,92892,95484,89466,104806,115738,99679,90806,88161,83393,80305,91752,88180,78377,83054,86227,82799,81139,91928,98748,82314,81616,84288,84711,84601,88916,95000,80130] }], colors: ['#0289f8', '#db3939', '#2bc700', '#ded40c', '#ff5d5d', '#cbd7ff'], chart: { type: 'bar', height: 350, stacked: true, stackType: '100%', animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } } }, dataLabels: { enabled: false, }, title: { text: ['sdasdasd'], text: undefined, align: 'left', style: { fontSize: '16px', } }, plotOptions: { bar: { horizontal: false, columnWidth: '30%', endingShape: 'rounded' }, }, dataLabels: { enabled: false }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { }, legend: { position: "top", show: false, horizontalAlign: 'right', verticalAlign: "top", }, responsive: [{ breakpoint: 767, options: { legend: { show: false, position: 'top', } } }], }; var chart = new ApexCharts(document.querySelector("#chart1"), options); chart.render(); </script> </div> </div> <div class="row_grafik"> <div class="col_description"> <div class="title_block">Statistics on scroll depth</div> <p>The scroll statistics imply that a large share of users doesn't reach the bottom of the page. Thus, if you place critical UX elements too far, no one will see them. So gather the scroll data to offer an optimum user experience and place important buttons, CTA, or menus within reach.</p> </div> <div class="block_stats item_s_2"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 2820957 </div> <div class="body-info-text"> Total scroll actions </div> </div> </div> <div id="chart2" class="block_stats_chart_new"></div> <script> var seriesDataScrollDepth = [ { name: '10% of page', data: [4,4,4,4,4,4,4,5,5,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4] }, { name: '20% of page', data: [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5,6,6,6,6,6,6,6,6,6] }, { name: '30% of page', data: [8,8,8,7,7,7,7,8,8,8,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7] }, { name: '40% of page', data: [9,9,9,9,8,8,9,9,9,9,9,9,8,8,9,9,9,8,8,8,8,9,8,9,9,8,8,8,9] }, { name: '50% of page', data: [10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,10,10,10,10,10,9,9,10] }, { name: '60% of page', data: [12,12,12,11,11,11,11,12,12,12,11,11,11,11,11,11,11,11,11,10,11,11,11,11,11,11,10,11,11] }, { name: '70% of page', data: [13,13,13,13,13,12,12,13,13,13,13,13,12,12,13,13,13,13,12,12,12,13,13,13,13,12,12,12,13] }, { name: '80% of page', data: [15,15,15,14,14,14,14,15,15,15,14,14,14,14,14,14,14,14,14,13,14,14,14,14,14,14,13,13,14] }, { name: '90% of page', data: [16,16,16,16,16,15,16,16,16,16,16,16,16,16,16,16,16,16,16,15,15,16,16,16,16,16,15,15,16] }, { name: '100% of page', data: [29,29,29,29,29,27,27,29,29,29,29,29,27,27,29,28,29,29,28,27,27,28,28,28,28,28,26,26,28] } ]; var options = { series: seriesDataScrollDepth, // series: [ // { // name: '10% of page', // data: [29,29,29,29,29,27,27,29,29,29,29,29,27,27,29,28,29,29,28,27,27,28,28,28,28,28,26,26,28] // }, { // name: '20% of page', // data: [16,16,16,16,16,15,16,16,16,16,16,16,16,16,16,16,16,16,16,15,15,16,16,16,16,16,15,15,16] // }, { // name: '30% of page', // data: [15,15,15,14,14,14,14,15,15,15,14,14,14,14,14,14,14,14,14,13,14,14,14,14,14,14,13,13,14] // }, { // name: '40% of page', // data: [13,13,13,13,13,12,12,13,13,13,13,13,12,12,13,13,13,13,12,12,12,13,13,13,13,12,12,12,13] // }, { // name: '50% of page', // data: [12,12,12,11,11,11,11,12,12,12,11,11,11,11,11,11,11,11,11,10,11,11,11,11,11,11,10,11,11] // }, { // name: '60% of page', // data: [10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,9,9,10,10,10,10,10,9,9,10] // }, { // name: '70% of page', // data: [9,9,9,9,8,8,9,9,9,9,9,9,8,8,9,9,9,8,8,8,8,9,8,9,9,8,8,8,9] // }, { // name: '80% of page', // data: [8,8,8,7,7,7,7,8,8,8,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7] // }, { // name: '90% of page', // data: [6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5,6,6,6,6,6,6,6,6,6] // }, { // name: '100% of page', // data: [4,4,4,4,4,4,4,5,5,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4] // } // ], colors: [ '#fa8165', '#faab65', '#fae665', '#cdfa65', '#a3fa65', '#7bfa65', '#48bb49', '#438e38', '#3a7934', '#3c6328', ], chart: { type: 'bar', height: 350, stacked: true, stackType: '100%', animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } } }, dataLabels: { enabled: true, formatter: function (val, opts) { return opts.seriesIndex * 10 + "%"; // Відображаємо відсоток для кожного стовпця }, style: { fontSize: '10px', fontWeight: 'bold', colors: ['#fff'] // Робимо текст білим, щоб було видно на кольорових стовпчиках } }, responsive: [ { breakpoint: 480, options: { legend: { position: 'bottom', offsetX: -10, offsetY: 0 } } }, { breakpoint: 990, options: { dataLabels: { enabled: false, }, } }, ], plotOptions: { bar: { horizontal: false, columnWidth: '50%', endingShape: 'rounded' }, }, title: { text: 'Total cursor movements', text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { // tickPlacement: 'on', tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { labels: { formatter: function (value) { if (value === 100) return "Header"; if (value === 0) return "Footer"; }, style: { fontSize: '12px', colors: ['#000'], }, offsetX: 5, } }, tooltip: { y: { formatter: function (value) { return value; } } }, fill: { opacity: 1 }, legend: { show: false, position: 'right', offsetX: 0, offsetY: 50 }, }; var chart = new ApexCharts(document.querySelector("#chart2"), options); chart.render(); </script> </div> </div> <div class="row_grafik row_grafik_two_col"> <div class="col_description"> <div class="title_block">Statistics without clicks</div> <p>Around half of user sessions happen without clicks. It means a person visits the page, sees its content, and goes away. The reasons usually vary, so you need a user experience (UX) analysis. Your website may lack important information, have unconvincing calls to action, or offer a bad user experience.</p> </div> <div class="block_stats item_s_11"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 883806 </div> <div class="body-info-text"> User sessions </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue"> <span class="math_round"> 445794 </span> ( 50.44)% </div> <div class="body-info-text">Statistics on user sessions without clicks</div> </div> </div> </div> <div id="chart3"></div> <script> var options = { series: [ { name: "Sessions", data: [49,49,49,49,50,51,51,49,49,49,49,50,50,50,49,49,49,49,50,51,51,49,49,50,50,50,52,51,50] } ], colors: ['#0289f8', '#db3939', '#2bc700', '#ded40c', '#ff5d5d', '#cbd7ff'], chart: { type: 'area', height: 350, stackType: '100%', stacked: true, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } }, zoom: { enabled: false, }, }, dataLabels: { enabled: false, }, title: { text: ['Sessions'], text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { min: 0, max: 100 }, stroke: { curve: 'straight', width: 2 }, tooltip: { y: { formatter: function (val) { return val + "%"; } } }, responsive: [{ breakpoint: 480, options: { legend: { position: 'right', offsetX: -10, offsetY: 0 } } }], legend: { position: 'right', offsetX: 0, offsetY: 50 }, }; var chart = new ApexCharts(document.querySelector("#chart3"), options); chart.render(); </script> </div> </div> <div class="row_grafik row_grafik_two_col"> <div class="col_description"> <div class="title_block">Statistics on single-page visitors (Bounce Rate)</div> <p>One-page sessions, when users make many interactions on the first page and then leave, are a classic example of a bounce. If your bounce rate is high, users may be unable to find the necessary conversion element, or their user experience may be confusing for any other reason.</p> </div> <div class="block_stats item_s_12"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 883806 </div> <div class="body-info-text"> User sessions </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue"> <span class="math_round"> 637618 </span> ( 72.14)% </div> <div class="body-info-text">Statistics on single-page sessions</div> </div> </div> </div> <div id="chart4"></div> <script> var options = { series: [ { name: "Sessions", data: [71,71,71,71,72,73,72,72,72,72,72,72,73,73,72,72,72,72,72,72,72,71,71,71,72,72,73,73,72] } ], colors: ['#0289f8', '#db3939', '#2bc700', '#ded40c', '#ff5d5d', '#cbd7ff'], chart: { type: 'area', height: 350, stackType: '100%', stacked: true, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } }, zoom: { enabled: false, }, }, dataLabels: { enabled: false, }, title: { text: ['Sessions'], text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { min: 0, max: 100 }, stroke: { curve: 'straight', width: 2 }, tooltip: { y: { formatter: function (val) { return val + "%"; } } }, responsive: [{ breakpoint: 480, options: { legend: { position: 'right', offsetX: -10, offsetY: 0 } } }], legend: { position: 'right', offsetX: 0, offsetY: 50 }, }; var chart = new ApexCharts(document.querySelector("#chart4"), options); chart.render(); </script> </div> </div> <div class="row_grafik row_grafik_two_col"> <div class="col_description"> <div class="title_block">UX statistics without scrolls</div> <p>Around a quarter of visitors don't scroll website pages at all. It can signify that they are non-targeted traffic or you have user experience issues. I recommend combining this report with additional UX data to detect the reasons behind such behavior.</p> </div> <div class="block_stats item_s_13"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 891524 </div> <div class="body-info-text"> Total users </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue"> <span class="math_round"> 230820 </span> ( 25.89)% </div> <div class="body-info-text">Statistics on sessions without scrolls</div> </div> </div> </div> <div id="chart5"></div> <script> var options = { series: [ { name: "Sessions", data: [26,25,24,24,26,28,28,25,25,25,25,26,28,28,25,25,25,25,26,28,28,25,25,25,26,27,29,29,26] } ], colors: ['#0289f8', '#db3939', '#2bc700', '#ded40c', '#ff5d5d', '#cbd7ff'], chart: { type: 'area', height: 350, stackType: '100%', stacked: true, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } }, zoom: { enabled: false, }, }, dataLabels: { enabled: false, }, title: { text: ['Sessions'], text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { min: 0, max: 100 }, stroke: { curve: 'straight', width: 2 }, tooltip: { y: { formatter: function (val) { return val + "%"; } } }, responsive: [{ breakpoint: 480, options: { legend: { position: 'right', offsetX: -10, offsetY: 0 } } }], legend: { position: 'right', offsetX: 0, offsetY: 50 }, }; var chart = new ApexCharts(document.querySelector("#chart5"), options); chart.render(); </script> </div> </div> <div class="row_grafik row_grafik_two_col"> <div class="col_description"> <div class="title_block">UX statistics with scrolling to the bottom of a page</div> <p>Very few visitors reach page footers. What does it tell us about user experience? Locate essential design elements like the Check Price button, reviews, or certification badges closer to the top. Also, consider shortening the page length altogether.</p> </div> <div class="block_stats item_s_14"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 906532 </div> <div class="body-info-text"> Total users </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue"> <span class="math_round"> 109714 </span> ( 12.1)% </div> <div class="body-info-text">Statistics on sessions with scrolling to the bottom of a page </div> </div> </div> </div> <div id="chart6"></div> <script> var options = { series: [ { name: "Sessions", data: [12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,13,13,12,13,12,11,12,12] } ], colors: ['#0289f8', '#db3939', '#2bc700', '#ded40c', '#ff5d5d', '#cbd7ff'], chart: { type: 'area', height: 350, stackType: '100%', stacked: true, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } }, zoom: { enabled: false, }, }, dataLabels: { enabled: false, }, title: { text: ['Sessions'], text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { min: 0, max: 100 }, stroke: { curve: 'straight', width: 2 }, tooltip: { y: { formatter: function (val) { return val + "%"; } } }, responsive: [{ breakpoint: 480, options: { legend: { position: 'right', offsetX: -10, offsetY: 0 } } }], legend: { position: 'right', offsetX: 0, offsetY: 50 }, }; var chart = new ApexCharts(document.querySelector("#chart6"), options); chart.render(); </script> </div> </div> <div class="row_grafik"> <div class="col_description"> <div class="title_block">Statistics on cursor movements</div> <p>This report reflects how actively people navigate your website. Note that a potential customer may use a 1920px screen resolution monitor. Then, the first screen will contain many elements; therefore, such analytics won't show the real picture. Thus, you should use this report as a supplement to other UX reports.</p> </div> <div class="block_stats item_s_15"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 8462873 </div> <div class="body-info-text"> Statistics on cursor movements </div> </div> </div> <div id="chart7" class="block_stats_chart_new"></div> <script> var seriesDataCursorMovements = [ { name: '10% of page', data: [183060,173988,168642,168400,145951,97269,90984,169925,173206,167478,161925,151625,86914,91011,170427,165758,171543,165664,149264,107270,112114,179273,171417,165470,160777,148787,75285,80635,166021] }, { name: '20% of page', data: [351076,336749,329988,328297,283658,197523,188221,331789,335267,327544,318732,300405,180715,184282,330351,325604,333708,321648,290673,205251,208906,337727,334252,322347,312786,293253,152667,166299,325164] }, { name: '30% of page', data: [528367,506024,501621,502050,427630,310635,294054,499597,506073,495659,485507,461694,285741,285272,499957,496026,506600,486635,440893,309382,311988,501338,509548,488636,478532,450463,237927,263142,498318] }, { name: '40% of page', data: [709251,682929,678779,680450,577872,422369,396141,676474,685657,670350,657841,621806,389270,385511,676549,670162,684160,651751,594663,417080,417060,674432,692619,658146,647347,607254,322527,359904,676873] }, { name: '50% of page', data: [884325,850008,844983,845777,722124,520404,486880,843809,854792,836719,819199,770151,481020,477707,839172,831843,844956,805396,740145,534911,533966,844075,871773,827199,806071,755620,405325,448504,840769] }, { name: '60% of page', data: [1060954,1021221,1009781,1009879,868686,611373,575094,1006467,1020834,996852,974481,911956,565740,565361,1000149,993813,1001578,954852,886344,639471,636952,1013259,1049310,992284,974951,911649,491793,535446,1007388] }, { name: '70% of page', data: [1243346,1213945,1183916,1195698,1027556,689213,666670,1165857,1199432,1165071,1130773,1070242,640961,647598,1172193,1168150,1154388,1118614,1045174,711606,721844,1184990,1222188,1163520,1161825,1066682,575202,622645,1183689] }, { name: '80% of page', data: [1481931,2078761,1416785,1443071,1245249,783226,781384,1366626,1425370,1393797,1336189,1283379,733552,749372,1389972,1380334,1358807,1341471,1251272,806977,829042,1407144,1458170,1401649,1418970,1259512,683998,729867,1411546] }, { name: '90% of page', data: [1573593,2171451,1512511,1532159,1326024,831842,845376,1471041,1520115,1484002,1408335,1354055,772565,798724,1466708,1451093,1435114,1429364,1318933,866617,887696,1495042,1540473,1472653,1489238,1306758,722480,763949,1481301] }, { name: '100% of page', data: [917227,908243,887148,889011,769127,487963,507835,884580,903945,873342,828832,793224,449204,469602,861930,858008,850993,843958,777124,510074,523928,888475,961546,857805,869102,760510,418165,440914,871804] } ]; var options = { series: seriesDataCursorMovements, // series: [{ // name: '10% of page', // data: [917227,908243,887148,889011,769127,487963,507835,884580,903945,873342,828832,793224,449204,469602,861930,858008,850993,843958,777124,510074,523928,888475,961546,857805,869102,760510,418165,440914,871804] // }, { // name: '20% of page', // data: [1573593,2171451,1512511,1532159,1326024,831842,845376,1471041,1520115,1484002,1408335,1354055,772565,798724,1466708,1451093,1435114,1429364,1318933,866617,887696,1495042,1540473,1472653,1489238,1306758,722480,763949,1481301] // }, { // name: '30% of page', // data: [1481931,2078761,1416785,1443071,1245249,783226,781384,1366626,1425370,1393797,1336189,1283379,733552,749372,1389972,1380334,1358807,1341471,1251272,806977,829042,1407144,1458170,1401649,1418970,1259512,683998,729867,1411546] // }, { // name: '40% of page', // data: [1243346,1213945,1183916,1195698,1027556,689213,666670,1165857,1199432,1165071,1130773,1070242,640961,647598,1172193,1168150,1154388,1118614,1045174,711606,721844,1184990,1222188,1163520,1161825,1066682,575202,622645,1183689] // }, { // name: '50% of page', // data: [1060954,1021221,1009781,1009879,868686,611373,575094,1006467,1020834,996852,974481,911956,565740,565361,1000149,993813,1001578,954852,886344,639471,636952,1013259,1049310,992284,974951,911649,491793,535446,1007388] // }, { // name: '60% of page', // data: [884325,850008,844983,845777,722124,520404,486880,843809,854792,836719,819199,770151,481020,477707,839172,831843,844956,805396,740145,534911,533966,844075,871773,827199,806071,755620,405325,448504,840769] // }, { // name: '70% of page', // data: [709251,682929,678779,680450,577872,422369,396141,676474,685657,670350,657841,621806,389270,385511,676549,670162,684160,651751,594663,417080,417060,674432,692619,658146,647347,607254,322527,359904,676873] // }, { // name: '80% of page', // data: [528367,506024,501621,502050,427630,310635,294054,499597,506073,495659,485507,461694,285741,285272,499957,496026,506600,486635,440893,309382,311988,501338,509548,488636,478532,450463,237927,263142,498318] // }, { // name: '90% of page', // data: [351076,336749,329988,328297,283658,197523,188221,331789,335267,327544,318732,300405,180715,184282,330351,325604,333708,321648,290673,205251,208906,337727,334252,322347,312786,293253,152667,166299,325164] // }, { // name: '100% of page', // data: [183060,173988,168642,168400,145951,97269,90984,169925,173206,167478,161925,151625,86914,91011,170427,165758,171543,165664,149264,107270,112114,179273,171417,165470,160777,148787,75285,80635,166021] // }], colors: [ '#fa8165', '#faab65', '#fae665', '#cdfa65', '#a3fa65', '#7bfa65', '#48bb49', '#438e38', '#3a7934', '#3c6328', ], chart: { type: 'bar', height: 350, stacked: true, stackType: '100%', animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } } }, plotOptions: { bar: { horizontal: false, columnWidth: '50%', endingShape: 'rounded' }, }, dataLabels: { enabled: true, formatter: function (val, opts) { return opts.seriesIndex * 10 + "%"; // Відображаємо відсоток для кожного стовпця }, style: { fontSize: '10px', fontWeight: 'bold', colors: ['#fff'] // Робимо текст білим, щоб було видно на кольорових стовпчиках } }, responsive: [ { breakpoint: 480, options: { legend: { position: 'bottom', offsetX: -10, offsetY: 0 } } }, { breakpoint: 990, options: { dataLabels: { enabled: false, }, } }, ], title: { text: ['of page'], text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { labels: { formatter: function (value) { if (value === 100) return "Header"; if (value === 0) return "Footer"; }, style: { fontSize: '12px', colors: ['#000'], }, offsetX: 5, } }, tooltip: { y: { formatter: function (value) { return value; } } }, fill: { opacity: 1 }, legend: { show: false, }, }; var chart = new ApexCharts(document.querySelector("#chart7"), options); chart.render(); </script> </div> </div> <div class="row_grafik row_grafik_two_col"> <div class="col_description"> <div class="title_block">Statistics with the mouse cursor active on one part of the page only</div> <p>Leads that navigate only one part of the page pay no attention to content in other sections. This statistical data helps evaluate desktop website versions. It won't provide you with accurate data on mobile users since they don't use a mouse.</p> </div> <div class="block_stats item_s_16"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 906532 </div> <div class="body-info-text"> Total users </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue"> <span class="math_round"> 665578 </span> ( 73.42)% </div> <div class="body-info-text">Statistics on sessions with the mouse cursor active on one part of the page only</div> </div> </div> </div> <div id="chart8"></div> <script> var options = { series: [ { name: "Sessions", data: [73,73,74,74,76,84,84,74,73,73,73,74,84,84,73,72,73,73,75,83,83,73,72,73,73,75,84,84,73] } ], colors: ['#0289f8', '#db3939', '#2bc700', '#ded40c', '#ff5d5d', '#cbd7ff'], chart: { type: 'area', height: 350, stackType: '100%', stacked: true, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } }, zoom: { enabled: false, }, }, dataLabels: { enabled: false, }, title: { text: ['Sessions'], text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { min: 0, max: 100 }, stroke: { curve: 'straight', width: 2 }, tooltip: { y: { formatter: function (val) { return val + "%"; } } }, responsive: [{ breakpoint: 480, options: { legend: { position: 'right', offsetX: -10, offsetY: 0 } } }], legend: { position: 'right', offsetX: 0, offsetY: 50 }, }; var chart = new ApexCharts(document.querySelector("#chart8"), options); chart.render(); </script> </div> </div> <div class="row_grafik row_grafik_two_col"> <div class="col_description"> <div class="title_block">Statistics with the cursor reaching the bottom of a page</div> <p>The mouse cursor rarely reaches the last website section. So you must consider this user experience specifics while optimizing your website. Don't put life-critical information too low.</p> </div> <div class="block_stats item_s_17"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 906532 </div> <div class="body-info-text"> Total users </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue"> <span class="math_round"> 35034 </span> ( 3.86)% </div> <div class="body-info-text">Statistics on sessions with the cursor reaching the bottom of a page</div> </div> </div> </div> <div id="chart9"></div> <script> var options = { series: [ { name: "Sessions", data: [4,4,4,4,4,2,2,4,4,4,4,4,2,2,4,4,4,4,4,3,3,4,4,4,4,4,2,2,4] } ], colors: ['#0289f8', '#db3939', '#2bc700', '#ded40c', '#ff5d5d', '#cbd7ff'], chart: { type: 'area', height: 350, stackType: '100%', stacked: true, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } }, zoom: { enabled: false, }, }, dataLabels: { enabled: false, }, title: { text: ['Sessions'], text: undefined, align: 'left', style: { fontSize: '16px', } }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, yaxis: { min: 0, max: 100 }, stroke: { curve: 'straight', width: 2 }, tooltip: { y: { formatter: function (val) { return val + "%"; } } }, responsive: [{ breakpoint: 480, options: { legend: { position: 'right', offsetX: -10, offsetY: 0 } } }], legend: { position: 'right', offsetX: 0, offsetY: 50 }, }; var chart = new ApexCharts(document.querySelector("#chart9"), options); chart.render(); </script> </div> </div> <div class="row_grafik row_grafik_two_col row_grafik_2"> <div class="col_description"> <div class="title_block">Statistics on page views by traffic channels</div> <p>Most users come from organic search, followed by direct, UTM, and Google Ads. This data allows you to evaluate user activity, taking into account traffic sources, and plan your marketing campaigns accordingly. You may also focus your UX optimization effort on the needs of the primary target audience.</p> </div> <div class="block_stats item_s_18"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 1865495 </div> <div class="body-info-text"> Total page views </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue math_round"> 609,974 </div> <div class="body-info-text">Direct</div> </div> <div class="body-info-right"> <div class="mark_red math_round"> 747,545 </div> <div class="body-info-text">Organic</div> </div> <div class="body-info-right"> <div class="mark_green math_round"> 84,546 </div> <div class="body-info-text">Referral</div> </div> <div class="body-info-right"> <div class="mark_yellow math_round"> 58,900 </div> <div class="body-info-text">Social</div> </div> <div class="body-info-right"> <div class="mark_orange math_round"> 220,050 </div> <div class="body-info-text">UTM</div> </div> <div class="body-info-right"> <div class="mark_purple math_round"> 144,454 </div> <div class="body-info-text">Google ADS</div> </div> </div> </div> <div id="chart10"></div> <script> var options = { series: [ { name: "Direct", data: [632294,637770,641198,649847,638228,569037,679067,629393,647591,616690,621500,602415,542997,518787,606593,606922,602788,612898,550810,607957,612659,661061,668761,646233,652270,665239,555744,547842,609974] }, { name: "Organic", data: [667483,661294,644621,669015,619979,571637,582704,646309,637630,621812,621364,600826,543136,566917,670404,633945,624552,613662,505248,599214,617149,672538,707590,691612,690367,679760,615668,629984,747545] }, { name: "Referral", data: [92012,94026,102701,93794,86360,72972,74339,87815,89783,90509,87098,86484,71720,74874,90358,87666,83716,88719,78382,74220,76914,86147,90560,88053,84170,79194,64781,67809,84546] }, { name: "Social", data: [68513,70859,68898,67633,62604,64420,66635,65505,64471,62506,59639,57348,58547,63172,60148,62762,62652,59103,50489,60187,64128,62140,63655,60296,58224,56882,55104,57872,58900] }, { name: "UTM", data: [275364,273883,266948,287318,257792,259408,291785,256708,249838,254001,255435,245361,253802,248693,239312,234011,241189,235810,212779,249425,255195,257665,244820,242055,234318,221011,221230,228491,220050] }, { name: "Google ADS", data: [147747,145668,144065,142404,139877,151584,159583,145961,137860,137548,128249,131570,130747,133178,139605,133674,130470,133442,107353,126204,139754,136978,135907,138571,138109,128979,135106,152488,144454] } ], chart: { height: 150, type: 'line', toolbar: { show: true }, zoom: { enabled: false, }, sparkline: { enabled: true }, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } } }, colors: ['#0289f8', '#db3939', '#5cdb39', '#ded40c', '#ff5d5d', '#cbd7ff'], dataLabels: { enabled: true, }, stroke: { curve: 'straight', width: 2 }, title: { text: ['Session'], text: undefined, align: 'left', style: { fontSize: '16px', } }, dataLabels: { enabled: false }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, legend: { show: false, position: "top", horizontalAlign: 'right', verticalAlign: "top", }, responsive: [{ breakpoint: 767, options: { legend: { show: false, position: 'top', } } }], }; var chart = new ApexCharts(document.querySelector("#chart10"), options); chart.render(); </script> </div> <div class="block_stats item_s_19"> <div class="leg-info"> <div class="infos"> <div class="math_round"> 915836 </div> <div class="body-info-text"> Total users </div> </div> <div class="info-right"> <div class="body-info-right"> <div class="mark_blue math_round"> 277,034 </div> <div class="body-info-text">Direct</div> </div> <div class="body-info-right"> <div class="mark_red math_round"> 386,959 </div> <div class="body-info-text">Organic</div> </div> <div class="body-info-right"> <div class="mark_green math_round"> 42,628 </div> <div class="body-info-text">Referral</div> </div> <div class="body-info-right"> <div class="mark_yellow math_round"> 31,915 </div> <div class="body-info-text">Social</div> </div> <div class="body-info-right"> <div class="mark_orange math_round"> 115,422 </div> <div class="body-info-text">UTM</div> </div> <div class="body-info-right"> <div class="mark_purple math_round"> 61,878 </div> <div class="body-info-text">Google ADS</div> </div> </div> </div> <div id="chart11"></div> <script> var options = { series: [ { name: "Direct", data: [264991,267777,272063,273187,264012,238728,234352,263930,266946,265893,263211,254175,226342,224614,261423,264385,268311,269145,240342,240326,240325,277372,276723,278531,280442,273138,238867,241234,277034] }, { name: "Organic", data: [352947,352674,343334,346963,321032,295388,308650,347471,342938,335548,331269,315981,284206,299748,361976,342459,334955,330534,265354,292816,308179,350381,355014,348257,345713,336948,297693,315685,386959] }, { name: "Referral", data: [42250,44638,48628,44864,41297,36095,35774,42231,43546,43621,43154,42864,36146,37161,44905,43196,41847,43858,39212,37500,38881,43417,44480,44148,42719,40428,33250,34777,42628] }, { name: "Social", data: [32430,33790,32854,32408,30718,31256,32165,31922,31459,31837,30685,29362,29566,31541,31157,32241,31809,30234,26198,30114,30617,31668,32014,30134,30093,30055,29275,30513,31915] }, { name: "UTM", data: [128520,127520,122161,120633,121086,122163,129614,120164,115578,120546,122278,114547,118933,117424,115367,114298,115922,114735,101787,115039,121404,120428,115111,116273,117968,111335,113963,117798,115422] }, { name: "Google ADS", data: [57544,56157,56988,56434,54460,56041,56541,58163,55667,55185,53698,53608,51747,51961,54819,53588,53103,52726,42795,48276,51929,53837,54426,56474,58820,55589,56988,59604,61878] } ], chart: { height: 150, type: 'line', toolbar: { show: true }, sparkline: { enabled: true }, zoom: { enabled: false, }, animations: { enabled: false, easing: 'easeinout', speed: 10, animateGradually: { enabled: false, delay: 1 }, dynamicAnimation: { enabled: false, speed: 1 } } }, colors: ['#0289f8', '#db3939', '#5cdb39', '#ded40c', '#ff5d5d', '#cbd7ff'], dataLabels: { enabled: true, }, stroke: { curve: 'straight', width: 2 }, title: { text: ['Session'], text: undefined, align: 'left', style: { fontSize: '16px', } }, dataLabels: { enabled: false }, xaxis: { tickAmount: 15, categories: ["2025-02-10","2025-02-11","2025-02-12","2025-02-13","2025-02-14","2025-02-15","2025-02-16","2025-02-17","2025-02-18","2025-02-19","2025-02-20","2025-02-21","2025-02-22","2025-02-23","2025-02-24","2025-02-25","2025-02-26","2025-02-27","2025-02-28","2025-03-01","2025-03-02","2025-03-03","2025-03-04","2025-03-05","2025-03-06","2025-03-07","2025-03-08","2025-03-09","2025-03-10"] }, legend: { show: false, position: "top", horizontalAlign: 'right', verticalAlign: "top", }, responsive: [{ breakpoint: 767, options: { legend: { show: false, position: 'top', } } }], }; var chart = new ApexCharts(document.querySelector("#chart11"), options); chart.render(); </script> </div> </div> <div class="row_grafik"> <div class="col_description"> <div class="title_block">Introduction to UX Statistics</div> <p>User experience (UX) has become integral to any website and eCommerce. It is the foundation for a successful conversion funnel, as it affects the customer’s opinion of your brand and their behavior in using the website. So understanding and measuring UX statistics has become increasingly important. In this data, you will find how UX statistics can be used to measure user experience and how it can be used to optimize conversion rates.</p> </div> </div> <div class="row_grafik"> <div class="col_description"> <div class="title_block">Revealing UX Statistics: What the Data Tells Us</div> <p>UX statistics are data that measure user experience. They help us understand how potential customers interact with pages and elements of the website, how they perceive them and how they feel about them. </br>UX statistics can be collected from user surveys, interviews, usability tests and analytics data (scroll depth, click maps, custom events, mouse movements and video sessions). By collecting and analyzing this data, we can get an idea of the behaviors that are liked and where they stumble on the way to conversion. This helps us understand what users are looking for and how to improve the user experience. </br>UX statistics can also be used to measure the success of UX design. By tracking user engagement and conversion rates, we can determine whether the design effectively achieves its goals, such as micro conversions (search, add to cart, compare products, click on the buy button, etc.) This helps us understand if the design is working and what changes we need to make (remove elements, move an element, or change the call to action).</p> </div> </div> <div class="row_grafik"> <div class="col_description"> <div class="title_block">Benefits of UX Statistics</div> <p>UX statistics are invaluable for understanding user behavior and improving user experience. Here are some of the benefits of using UX statistics:</p> <ol> <li>Understanding user needs and preferences: By tracking user behavior, we can determine what features users need, what they prefer, or what makes them nervous. This helps us to develop a user-friendly website that meets the needs and advantages over competitors.</li> <li>Improving UX: By understanding the needs and preferences of the users, we can design the UI modernly with the target audience in mind. As a result, the conversion rate can be higher than the market.</li> <li>Optimization of pages: By analyzing user feedback and tracking user behavior, we can identify blocks of the site for improvement. This helps us to focus our efforts where they do not click or we would like users to click there.</li> <li>Increase customer satisfaction: We can increase customer satisfaction by understanding the needs and preferences of users so that we minimize the abandonment of the website page. This helps us build a loyal customer base and increase customer retention rates.</li> <li>Optimization of conversion rates: By tracking user behavior and metrics, we can identify areas that impact sales to increase conversion rates.</li> </ol> <p>It would be best if you built hypotheses based on user behavior data.</p> </div> </div> <div class="row"> <div class="wrap_content_s"> </div> </div> </div> </section> <section class="bottom_blog"> <div class="container"> <div class="title-center"> <h2>Articles from the blog</h2> </div> <p class="sub-title-center"> Content for UX designers, SEO specialists, and business owners </p> <div class="row_blog"> <div class="wrap_col"> <article class="col_article"> <div class="img_article"> <img width="300" height="175" src="https://www.plerdy.com/wp-content/uploads/2025/03/netebook-min-300x175.jpg" class="attachment-news size-news wp-post-image" alt="How Plerdy Helps Startups Improve UX & Conversions – 0000" loading="lazy" width="360" height="180" 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alt="Boost Shopify Conversions: Using Plerdy to Improve User Experience – 0000" loading="lazy" width="360" height="180" decoding="async" srcset="https://www.plerdy.com/wp-content/uploads/2025/03/Shopify-and-Plerdy-min-300x175.jpg 300w, https://www.plerdy.com/wp-content/uploads/2025/03/Shopify-and-Plerdy-min-1024x598.jpg 1024w, https://www.plerdy.com/wp-content/uploads/2025/03/Shopify-and-Plerdy-min-768x449.jpg 768w, https://www.plerdy.com/wp-content/uploads/2025/03/Shopify-and-Plerdy-min.jpg 1198w" sizes="(max-width: 300px) 100vw, 300px" /> </div> <a href="https://www.plerdy.com/blog/category/business/" class="category_article">Business</a> <a href="https://www.plerdy.com/blog/boost-shopify-conversions-using-plerdy/" class="title_article"> <span class="title_text"> Boost Shopify Conversions: Using Plerdy to Improve User Experience </span> </a> <div class="p_data">Mar 11, 2025</div> </article> </div> <div class="wrap_col"> <article class="col_article"> <div class="img_article"> <img width="300" height="175" src="https://www.plerdy.com/wp-content/uploads/2025/03/design-mistakes-min-300x175.jpg" class="attachment-news size-news wp-post-image" alt="UX Design Mistakes That Kill Conversions (And How Plerdy Helps Avoid Them) – 0001" loading="lazy" width="360" height="180" decoding="async" srcset="https://www.plerdy.com/wp-content/uploads/2025/03/design-mistakes-min-300x175.jpg 300w, https://www.plerdy.com/wp-content/uploads/2025/03/design-mistakes-min-1024x597.jpg 1024w, https://www.plerdy.com/wp-content/uploads/2025/03/design-mistakes-min-768x448.jpg 768w, https://www.plerdy.com/wp-content/uploads/2025/03/design-mistakes-min.jpg 1200w" sizes="(max-width: 300px) 100vw, 300px" /> </div> <a href="https://www.plerdy.com/blog/category/usability/" class="category_article">User Experience (UX)</a> <a href="https://www.plerdy.com/blog/ux-design-mistakes-and-how-plerdy-helps/" class="title_article"> <span class="title_text"> UX Design Mistakes That Kill Conversions (And How Plerdy Helps Avoid Them) </span> </a> <div class="p_data">Mar 11, 2025</div> </article> </div> <div class="wrap_col"> <article class="col_article"> <div class="img_article"> <img width="300" height="175" src="https://www.plerdy.com/wp-content/uploads/2025/03/usinility-min-300x175.jpg" class="attachment-news size-news wp-post-image" alt="Why Usability Matters: Enhancing User Experience with Plerdy – 0000" loading="lazy" width="360" height="180" decoding="async" srcset="https://www.plerdy.com/wp-content/uploads/2025/03/usinility-min-300x175.jpg 300w, https://www.plerdy.com/wp-content/uploads/2025/03/usinility-min-1024x597.jpg 1024w, https://www.plerdy.com/wp-content/uploads/2025/03/usinility-min-768x448.jpg 768w, https://www.plerdy.com/wp-content/uploads/2025/03/usinility-min.jpg 1200w" sizes="(max-width: 300px) 100vw, 300px" /> </div> <a href="https://www.plerdy.com/blog/category/usability/" class="category_article">User Experience (UX)</a> <a 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768w, https://www.plerdy.com/wp-content/uploads/2025/03/Startup-min.jpg 1200w" sizes="(max-width: 300px) 100vw, 300px" /> </div> <a href="https://www.plerdy.com/blog/category/business/" class="category_article">Business</a> <a href="https://www.plerdy.com/blog/how-startups-can-use-plerdy/" class="title_article"> <span class="title_text"> How Startups Can Use Plerdy to Validate Business Ideas and Optimize Growth </span> </a> <div class="p_data">Mar 10, 2025</div> </article> </div> <div class="wrap_col"> <article class="col_article"> <div class="img_article"> <img width="300" height="175" src="https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-01-min-300x175.jpg" class="attachment-news size-news wp-post-image" alt="The Role of UX Analytics: How Plerdy Helps You Understand Your Users – 0000" loading="lazy" width="360" height="180" decoding="async" srcset="https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-01-min-300x175.jpg 300w, https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-01-min-1024x597.jpg 1024w, https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-01-min-768x448.jpg 768w, https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-01-min.jpg 1200w" sizes="(max-width: 300px) 100vw, 300px" /> </div> <a href="https://www.plerdy.com/blog/category/usability/" class="category_article">User Experience (UX)</a> <a href="https://www.plerdy.com/blog/the-role-of-ux-analytics-how-plerdy-helps/" class="title_article"> <span class="title_text"> The Role of UX Analytics: How Plerdy Helps You Understand Your Users </span> </a> <div class="p_data">Mar 05, 2025</div> </article> </div> <div class="wrap_col"> <article class="col_article"> <div class="img_article"> <img width="300" height="175" src="https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-min-300x175.jpg" class="attachment-news size-news wp-post-image" alt="How to Improve Website Usability with Plerdy’s UX Tools – 0000" loading="lazy" width="360" height="180" decoding="async" srcset="https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-min-300x175.jpg 300w, https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-min-1024x597.jpg 1024w, https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-min-768x448.jpg 768w, https://www.plerdy.com/wp-content/uploads/2025/03/ux-audit-plerdy-min.jpg 1200w" sizes="(max-width: 300px) 100vw, 300px" /> </div> <a href="https://www.plerdy.com/blog/category/usability/" class="category_article">User Experience (UX)</a> <a href="https://www.plerdy.com/blog/improve-website-usability-with-plerdys/" class="title_article"> <span class="title_text"> How to Improve Website Usability with Plerdy’s UX Tools </span> </a> <div class="p_data">Mar 05, 2025</div> </article> </div> </div> <div class="center"> <a href="https://www.plerdy.com/blog/" class="btn btn_blue_home btn_big_home">Show more</a> </div> </div> </section> <footer> <div 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