{"id":328812,"date":"2025-12-03T06:27:58","date_gmt":"2025-12-03T06:27:58","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/a-simple-guide-to-advanced-marketing-analytics-analytics-platform\/"},"modified":"2025-12-03T06:27:58","modified_gmt":"2025-12-03T06:27:58","slug":"a-simple-guide-to-advanced-marketing-analytics-analytics-platform","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=328812","title":{"rendered":"A simple guide to advanced marketing analytics &#8211; Analytics Platform"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>With growing privacy concerns and compliance requirements, many marketers hesitate to really dig into their data. But page views, bounce rates, and other basic metrics only show part of the picture.\u00a0<\/p>\n<p>To truly understand your audience, you need to go beyond surface-level metrics and analyse behaviour. And advanced marketing analytics helps attribute conversions and guide smarter decisions while still respecting user privacy.<\/p>\n<p>This article explores what advanced marketing analytics can look like in practice. You\u2019ll learn how deeper insights can help you personalise campaigns, improve performance, and build trust using privacy-first marketing strategies.<\/p>\n<h2 class=\"wp-block-heading\">What is advanced marketing analytics?<\/h2>\n<p>Advanced marketing analytics involves using predictive models,\u00a0<a href=\"https:\/\/matomo.org\/blog\/2024\/05\/customer-segments-examples\/\">customer segmentation<\/a>\u00a0and behavioural insights to examine data beyond basic\u00a0<a href=\"https:\/\/matomo.org\/faq\/introduction-to-page-analytics-reports\/\">page analytics<\/a>\u00a0like views, clicks, and bounce rates.\u00a0<\/p>\n<p>Basic analytics show what happens on your website, while advanced analytics reveal the factors driving user actions.<\/p>\n<p>The importance of advanced analytics is increasing with customers expecting more personalisation and competition growing fiercer, marketers must use real customer data to make smarter decisions.\u00a0<\/p>\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"586\" src=\"data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxOTk5IDExNDMiIHdpZHRoPSIxOTk5IiBoZWlnaHQ9IjExNDMiIGRhdGEtdT0iaHR0cHMlM0ElMkYlMkZtYXRvbW8ub3JnJTJGd3AtY29udGVudCUyRnVwbG9hZHMlMkYyMDI1JTJGMTIlMkZNYXJrZXRpbmctVHJlbmRzLVRvd2FyZC1JbmNyZWFzZWQtQXR0ZW50aW9uLWFuZC1JbmRpcmVjdC1BdHRyaWJ1dGlvbi5wbmciIGRhdGEtdz0iMTk5OSIgZGF0YS1oPSIxMTQzIiBkYXRhLWJpcD0iIj48L3N2Zz4=\" data-spai=\"1\" alt=\"a visual representation of the intersection of direct and indirect attribution\" class=\"wp-image-89261\" srcset=\" \" sizes=\"(max-width: 1024px) 100vw, 1024px\"\/><noscript data-spai=\"1\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"586\" src=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Marketing-Trends-Toward-Increased-Attention-and-Indirect-Attribution-1024x586.png\" data-spai-egr=\"1\" alt=\"a visual representation of the intersection of direct and indirect attribution\" class=\"wp-image-89261\" srcset=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Marketing-Trends-Toward-Increased-Attention-and-Indirect-Attribution-1024x586.png 1024w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Marketing-Trends-Toward-Increased-Attention-and-Indirect-Attribution-450x257.png 450w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Marketing-Trends-Toward-Increased-Attention-and-Indirect-Attribution-768x439.png 768w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Marketing-Trends-Toward-Increased-Attention-and-Indirect-Attribution-1536x878.png 1536w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Marketing-Trends-Toward-Increased-Attention-and-Indirect-Attribution.png 1999w\" sizes=\"(max-width: 1024px) 100vw, 1024px\"\/><\/noscript><\/figure>\n<p>Advanced marketing analytics provides the foundation for this, allowing businesses to design marketing campaigns that align with customer needs.\u00a0<\/p>\n<h2 class=\"wp-block-heading\">Common techniques in advanced marketing analytics<\/h2>\n<p>Advanced analytics let marketers go beyond surface-level marketing data and uncover strategic insights. Common tactics and techniques include:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Predictive modelling<\/strong>\u00a0uses historical data to forecast trends, such as customer conversion or churn.<\/li>\n<li><a href=\"https:\/\/matomo.org\/guide\/reporting-tools\/segmentation\/\"><strong>Customer segmentation<\/strong><\/a>\u00a0groups audiences by shared characteristics or behaviours, allowing for more precise targeting and personalised experiences.\u00a0<\/li>\n<li><strong>Behavioural analysis\u00a0helps interpret user interactions across marketing channels, revealing friction points and ways to improve engagement.<\/strong><\/li>\n<li><strong>Multi-channel attribution models\u00a0<\/strong>monitor how touchpoints across email, social media, organic search and paid ads contribute to conversions.\u00a0<\/li>\n<li><strong>Multivariate testing\u00a0<\/strong>shows how different elements on a webpage interact (e.g., headline variations, CTA button colour and placement) to find the most effective combination.<\/li>\n<li><strong>Cohort analysis\u00a0<\/strong>examines user groups over time to understand retention, loyalty and engagement patterns.\u00a0<\/li>\n<li><strong>Customer lifetime value (CLV) analysis e<\/strong>stimates long-term revenue from\u00a0<a href=\"https:\/\/matomo.org\/faq\/reporting-tools\/about-segments-in-matomo\/\">customer segments<\/a>, guiding resource allocation.\u00a0<\/li>\n<li><strong>Form analytics\u00a0show where users are struggling to complete forms or abandoning them altogether.<\/strong><\/li>\n<\/ul>\n<p><em>\u00a0<\/em><\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"514\" height=\"330\" src=\"data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCA1MTQgMzMwIiB3aWR0aD0iNTE0IiBoZWlnaHQ9IjMzMCIgZGF0YS11PSJodHRwcyUzQSUyRiUyRm1hdG9tby5vcmclMkZ3cC1jb250ZW50JTJGdXBsb2FkcyUyRjIwMjUlMkYxMiUyRmRyb3Atb2ZmLWZpZWxkcy1pbi1tYXRvbW8ucG5nIiBkYXRhLXc9IjUxNCIgZGF0YS1oPSIzMzAiIGRhdGEtYmlwPSIiPjwvc3ZnPg==\" data-spai=\"1\" alt=\"\" class=\"wp-image-89263\"\/><noscript data-spai=\"1\"><img loading=\"lazy\" decoding=\"async\" width=\"514\" height=\"330\" src=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/drop-off-fields-in-matomo.png\" data-spai-egr=\"1\" alt=\"\" class=\"wp-image-89263\" srcset=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/drop-off-fields-in-matomo.png 514w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/drop-off-fields-in-matomo-450x289.png 450w\" sizes=\"auto, (max-width: 514px) 100vw, 514px\"\/><\/noscript><\/figure>\n<\/div>\n<p class=\"has-text-align-center\"><em>Matomo Form Analytics showing unique drop-offs per form field<\/em><\/p>\n<p>Together, these features help teams understand what\u2019s working, identify and adjust what\u2019s not, and direct resources toward the segment with the most potential.\u00a0<\/p>\n<h3 class=\"wp-block-heading\">What about basic digital marketing analytics?\u00a0<\/h3>\n<p>Basic tools provide an entry-level view of marketing performance. The data is still valuable, but it doesn\u2019t always drill down as deeply as advanced tools.\u00a0<\/p>\n<p>Common features include:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/matomo.org\/blog\/2023\/08\/how-to-check-website-traffic\/\"><strong>Website traffic reports<\/strong><\/a>\u00a0measure website visits, sessions and users over time.\u00a0<\/li>\n<li><strong>Page views and top content reports<\/strong>\u00a0show which pages and content draw the most visitors.<\/li>\n<li><strong>Engagement metrics<\/strong>\u00a0and\u00a0<a href=\"https:\/\/matomo.org\/blog\/2024\/05\/website-kpis\/\">key website KPIs<\/a>, such as bounce rate, time spent on page and pages per session, help marketers assess engagement.<\/li>\n<li><strong>Referral sources<\/strong>\u00a0show where the traffic comes from, like organic search or paid advertising.<\/li>\n<li><strong>Audience segmentation<\/strong>\u00a0divides users into groups based on device type, location, or whether they are new visitors.<\/li>\n<li><strong>Goal tracking\u00a0<\/strong>logs simple conversions such as form completions, sign-ups or purchases.<\/li>\n<li><strong>Conversion rate tracking\u00a0<\/strong>measures the percentage of visitors who complete actions like booking a demo or signing up for a free trial.<\/li>\n<li><strong>A\/B testing<\/strong>\u00a0compares alternate versions of a specific variable (like background colour or CTA placement) to see which is more effective.<\/li>\n<\/ul>\n<p>These tools are valuable for foundational reporting and spotting trends, but they lack the depth and predictive capabilities that advanced analytics provide.<\/p>\n<h2 class=\"wp-block-heading\">What are the four types of advanced marketing analytics?<\/h2>\n<p>There are four main types of advanced marketing analytics:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li>Descriptive<\/li>\n<li>Diagnostic<\/li>\n<li>Predictive<\/li>\n<li>Prescriptive\u00a0<\/li>\n<\/ul>\n<p>Each plays a different role in understanding your customer base, optimising marketing activities, and shaping long-term campaign strategies.<\/p>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"586\" src=\"data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxOTk5IDExNDMiIHdpZHRoPSIxOTk5IiBoZWlnaHQ9IjExNDMiIGRhdGEtdT0iaHR0cHMlM0ElMkYlMkZtYXRvbW8ub3JnJTJGd3AtY29udGVudCUyRnVwbG9hZHMlMkYyMDI1JTJGMTIlMkZBZHZhbmNlZC1NYXJrZXRpbmctQW5hbHl0aWNzLWFuZC1pdHMtUHJldmFsZW5jZS1pbi1EaWZmZXJlbnQtQXBwcm9hY2hlcy10by1BbmFseXRpY3MtMS5wbmciIGRhdGEtdz0iMTk5OSIgZGF0YS1oPSIxMTQzIiBkYXRhLWJpcD0iIj48L3N2Zz4=\" data-spai=\"1\" alt=\"a graph showing the difference between basic analytics and advanced analytics use across different marketing analytics channels\" class=\"wp-image-89269\" srcset=\" \" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"\/><noscript data-spai=\"1\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"586\" src=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Advanced-Marketing-Analytics-and-its-Prevalence-in-Different-Approaches-to-Analytics-1-1024x586.png\" data-spai-egr=\"1\" alt=\"a graph showing the difference between basic analytics and advanced analytics use across different marketing analytics channels\" class=\"wp-image-89269\" srcset=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Advanced-Marketing-Analytics-and-its-Prevalence-in-Different-Approaches-to-Analytics-1-1024x586.png 1024w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Advanced-Marketing-Analytics-and-its-Prevalence-in-Different-Approaches-to-Analytics-1-450x257.png 450w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Advanced-Marketing-Analytics-and-its-Prevalence-in-Different-Approaches-to-Analytics-1-768x439.png 768w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Advanced-Marketing-Analytics-and-its-Prevalence-in-Different-Approaches-to-Analytics-1-1536x878.png 1536w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/Advanced-Marketing-Analytics-and-its-Prevalence-in-Different-Approaches-to-Analytics-1.png 1999w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"\/><\/noscript><\/figure>\n<h3 class=\"wp-block-heading\">Descriptive analytics: Unveiling the \u201cwhat\u201d<\/h3>\n<p>Descriptive analytics reveals what\u2019s happening across campaigns, sales cycles and customer journeys. It uses techniques like\u00a0<a href=\"https:\/\/matomo.org\/faq\/ab-testing\/faq_22479\/\">A\/B testing<\/a>,\u00a0<a href=\"https:\/\/matomo.org\/blog\/2023\/11\/cohort-analysis\/\">cohort analysis<\/a>, custom segmentation and visualisation to identify patterns and market trends.\u00a0<\/p>\n<p>Marketing teams need to understand how customers move through the buying journey. Descriptive analytics help spot issues and refine the customer experience through:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Custom analytics dashboards<\/strong>: Shared team dashboards and personal views easily monitor a range of descriptive metrics.<\/li>\n<li><strong>Funnel visualisation<\/strong>: Highlights where users exit or convert<\/li>\n<li><strong>Heatmaps<\/strong>: Show which content gets attention and what\u2019s being overlooked<\/li>\n<li><strong>Cohort analysis<\/strong>: Tracks the engagement and retention trends of similar groups over time<\/li>\n<li><strong>A\/B testing:<\/strong>\u00a0Compares alternate versions of a specific variable (like background colour or CTA placement) to see which is more effective.<\/li>\n<\/ul>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"585\" src=\"data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMDQ4IDExNzAiIHdpZHRoPSIyMDQ4IiBoZWlnaHQ9IjExNzAiIGRhdGEtdT0iaHR0cHMlM0ElMkYlMkZtYXRvbW8ub3JnJTJGd3AtY29udGVudCUyRnVwbG9hZHMlMkYyMDI1JTJGMTIlMkZBQi1UZXN0aW5nLUhlYXRtYXAtYW5kLVVzZXItRmxvdy1BbmFseXNpcy1mb3ItQWR2YW5jZWQtQ29udmVyc2lvbi1SYXRlLU9wdGltaXphdGlvbi0yMDQ4eDExNzAucG5nIiBkYXRhLXc9IjIwNDgiIGRhdGEtaD0iMTE3MCIgZGF0YS1iaXA9IiI+PC9zdmc+\" data-spai=\"1\" alt=\"an infographic showing a\/b testing, heat map analysis, and user flow analysis\" class=\"wp-image-89267\" srcset=\" \" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"\/><noscript data-spai=\"1\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"585\" src=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/AB-Testing-Heatmap-and-User-Flow-Analysis-for-Advanced-Conversion-Rate-Optimization-1024x585.png\" data-spai-egr=\"1\" alt=\"an infographic showing a\/b testing, heat map analysis, and user flow analysis\" class=\"wp-image-89267\" srcset=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/AB-Testing-Heatmap-and-User-Flow-Analysis-for-Advanced-Conversion-Rate-Optimization-1024x585.png 1024w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/AB-Testing-Heatmap-and-User-Flow-Analysis-for-Advanced-Conversion-Rate-Optimization-450x257.png 450w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/AB-Testing-Heatmap-and-User-Flow-Analysis-for-Advanced-Conversion-Rate-Optimization-768x439.png 768w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/AB-Testing-Heatmap-and-User-Flow-Analysis-for-Advanced-Conversion-Rate-Optimization-1536x878.png 1536w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/AB-Testing-Heatmap-and-User-Flow-Analysis-for-Advanced-Conversion-Rate-Optimization-2048x1170.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"\/><\/noscript><\/figure>\n<p><strong>Privacy-first perspective:<\/strong>\u00a0It\u2019s still possible to drill down into engagement and drop-off data without violating user trust or privacy regulations like the GDPR. With platforms like Matomo, teams can extract descriptive analytics from\u00a0<a href=\"https:\/\/matomo.org\/subcategory\/anonymise-data\/\">anonymised session data<\/a>.\u00a0<\/p>\n<h3 class=\"wp-block-heading\">Diagnostics: Understanding the why<\/h3>\n<p>Diagnostic analytics investigates why things occur. Techniques like root cause analysis,\u00a0<a href=\"https:\/\/matomo.org\/faq\/custom-reports\/faq_25228\/\">custom reporting<\/a>\u00a0and correlation analysis uncover the drivers behind campaign performance.<\/p>\n<p>Say that a social media ad campaign drives high\u00a0<a href=\"https:\/\/matomo.org\/blog\/2025\/02\/how-to-check-website-traffic-a-complete-guide\/\">web traffic<\/a>\u00a0but low conversions. Diagnostic analytics might reveal that the ads are targeting the wrong audience or that mobile users experience a slow-loading landing page.\u00a0<\/p>\n<p>Understanding these causes allows marketers to adjust targeting, improve page performance or redesign messaging for better results.\u00a0<\/p>\n<p><strong>Privacy-first perspective:\u00a0<\/strong><a href=\"https:\/\/matomo.org\/faq\/on-premise\/how-can-i-find-diagnostic-information-for-report-archiving\/\">Diagnostic analysis<\/a>\u00a0can also use aggregated and anonymised performance data without tracking individual users. With Matomo, for example, marketers uncover root causes and solve problems without compromising privacy.\u00a0<\/p>\n<h3 class=\"wp-block-heading\">Predictive analytics: Forecasting what\u2019s next<\/h3>\n<p>Predictive analytics combines historical data with statistical algorithms to anticipate future business outcomes. It\u00a0<a href=\"https:\/\/matomo.org\/blog\/2021\/09\/user-behavioural-analytics\/\">predicts customer behaviour<\/a>\u00a0and future demand through techniques like trend analysis, regression modelling and machine learning.\u00a0<\/p>\n<p>For example, you can analyse trends in:<\/p>\n<ul class=\"wp-block-list\">\n<li>Shopping frequency<\/li>\n<li>Ste visits<\/li>\n<li>Support requests<\/li>\n<li>Customer demographics<\/li>\n<\/ul>\n<p>Fewer visits may mean that customers have unmet needs. Frequent contact with customer support can lead to frustration and erode trust. By analysing demographic and acquisition data, teams can uncover customer insights that reveal patterns across similar groups, allowing them to react quickly and strategically with targeted retention offers.<\/p>\n<p><strong>Privacy-first perspective:\u00a0<\/strong>You don\u2019t need external third-party data to anticipate behaviour or optimise campaigns. Training predictive models exclusively on first-party data allows teams to forecast accurately while still respecting user privacy.<\/p>\n<h3 class=\"wp-block-heading\">Prescriptive analytics: Recommending the how<\/h3>\n<p>Prescriptive analytics helps marketers decide on the best course of action. It uses personalisation algorithms, recommendation engines and optimisation models to suggest specific actions to achieve desired outcomes.<\/p>\n<p>Imagine that a subscription service wants to increase engagement and conversions. Prescriptive analytics might use:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Cohorts<\/strong>: Recommending content, products, or offers that similar users enjoy.<\/li>\n<li><strong>Recommendation engines<\/strong>: Suggesting similar, coordinating, or complementary items.<\/li>\n<li><strong>Channel optimisation<\/strong>: Identifying the best communication time, format, or platform.<\/li>\n<li><a href=\"https:\/\/matomo.org\/blog\/2024\/05\/b2b-customer-journey-map-a-quickfire-guide-for-growth\/\"><strong>Customer journey mapping<\/strong><\/a>: Recommending specific journey sequences.<\/li>\n<li><strong>Inventory and pricing data<\/strong>: Adjusting prices to align with product availability and profitability targets.<\/li>\n<li><strong>Churn risk scores<\/strong>: Proactive retention efforts for users most likely to churn.<\/li>\n<\/ul>\n<p><strong>Privacy-first perspective:\u00a0<\/strong>Like descriptive and diagnostic analytics, prescriptive recommendations can be generated using aggregated user behaviour and anonymised patterns, so marketers can personalise campaigns ethically and responsibly.<\/p>\n<h2 class=\"wp-block-heading\">Use cases: Real-world examples of advanced marketing analytics<\/h2>\n<p>Companies that use advanced marketing analytics uncover hidden opportunities, predict customer behaviour and make choices that directly improve results.\u00a0<\/p>\n<p>Below are key use cases demonstrating the impact of advanced analytics on real business outcomes:\u00a0<\/p>\n<h3 class=\"wp-block-heading\">Netflix: Predictive analytics<\/h3>\n<p>Netflix, a global leader in streaming, needed to engage subscribers while helping them navigate its vast content library. Retention hinged on predicting what each viewer wanted to watch next.\u00a0<\/p>\n<p>Using predictive analytics, Netflix analysed viewing patterns, searches and ratings to deliver personalised recommendations that adapt to every interaction. Today,\u00a0<a href=\"https:\/\/www.researchgate.net\/figure\/Statistics-show-that-up-to-80-of-watches-on-Netflix-come-from-recommendations-and-the_fig1_386513037\" target=\"_blank\" rel=\"noreferrer noopener\">up to 80% of Netflix watches come from these suggestions<\/a>.\u00a0<\/p>\n<p>Here\u2019s how this looks in the platform:\u00a0<\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"636\" height=\"394\" src=\"data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCA2MzYgMzk0IiB3aWR0aD0iNjM2IiBoZWlnaHQ9IjM5NCIgZGF0YS11PSJodHRwcyUzQSUyRiUyRm1hdG9tby5vcmclMkZ3cC1jb250ZW50JTJGdXBsb2FkcyUyRjIwMjUlMkYxMiUyRnByZWRpY3RpdmUtYW5hbHl0aWNzLWluLXVzZS1vbi1OZXRmbGl4LnBuZyIgZGF0YS13PSI2MzYiIGRhdGEtaD0iMzk0IiBkYXRhLWJpcD0iIj48L3N2Zz4=\" data-spai=\"1\" alt=\"a screenshot of Netflix's predictive analytics at work on the platform\" class=\"wp-image-89271\"\/><noscript data-spai=\"1\"><img loading=\"lazy\" decoding=\"async\" width=\"636\" height=\"394\" src=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/predictive-analytics-in-use-on-Netflix.png\" data-spai-egr=\"1\" alt=\"a screenshot of Netflix's predictive analytics at work on the platform\" class=\"wp-image-89271\" srcset=\"https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/predictive-analytics-in-use-on-Netflix.png 636w, https:\/\/m-img.org\/spai\/q_lossless+ret_img+to_webp\/matomo.org\/wp-content\/uploads\/2025\/12\/predictive-analytics-in-use-on-Netflix-450x279.png 450w\" sizes=\"auto, (max-width: 636px) 100vw, 636px\"\/><\/noscript><\/figure>\n<\/div>\n<p class=\"has-text-align-center\">(<a href=\"https:\/\/uxdesign.cc\/netflix-system-design-ef5802426ad4\" target=\"_blank\" rel=\"noreferrer noopener\">Image source<\/a>)\u00a0<\/p>\n<p>By improving discovery, Netflix boosts engagement, increases satisfaction and strengthens subscriber loyalty.\u00a0<\/p>\n<h3 class=\"wp-block-heading\">UniFida: Multi-touch attribution<\/h3>\n<p>UniFida is a UK-based customer data platform that helps businesses unify data. Recently, the company supported a holiday company to measure its return on marketing investment (ROMI) with multi-channel marketing attribution.<\/p>\n<p>Despite investing in direct mail, affiliates, social media and paid ads, the company lacked visibility into which channels drove sales. UniFida implemented a\u00a0<a href=\"https:\/\/matomo.org\/multi-attribution\/\">multi-touch attribution (MTA) model<\/a>\u00a0that tracked online and offline touchpoints across the customer journey.\u00a0<\/p>\n<p>This analysis showed that over 50% of sales included a direct mail interaction, PPC drove strong conversions and other digital channels contributed less than 5%.\u00a0<\/p>\n<p>These insights gave the holiday company a clear breakdown of channel performance, enabling confident budget allocation and better marketing ROI.\u00a0<\/p>\n<h3 class=\"wp-block-heading\">How 7Assets balanced insights with data privacy\u00a0<\/h3>\n<p><a href=\"https:\/\/matomo.org\/case-studies\/7assets\/\">7Assets<\/a>, a UK-based consulting firm, needed to analyse website behaviour without compromising client trust. Operating in a sector where privacy and compliance are non-negotiable, the firm required advanced analytics to understand visitor engagement and optimise campaigns.<\/p>\n<p>Refusing to risk third-party tracking tools, the team adopted Matomo. By hosting Matomo on its own servers, 7Assets kept\u00a0<a href=\"https:\/\/matomo.org\/100-data-ownership\/\">full control of its data<\/a>\u00a0and ensured compliance with GDPR and CCPA.<\/p>\n<p>At the same time, Matomo\u2019s funnel visualisation,\u00a0<a href=\"https:\/\/matomo.org\/faq\/reporting-tools\/common-segments-their-use-cases-and-how-to-create-them\/\">custom segmentation<\/a>, and\u00a0<a href=\"https:\/\/matomo.org\/faq\/reports\/example-use-cases-for-goal-tracking\/\">goal tracking<\/a>\u00a0offer detailed insights into how people interact with their site.\u00a0<\/p>\n<p>This approach was a success. The firm improved user journeys, refined campaigns and increased client acquisition.<\/p>\n<h2 class=\"wp-block-heading\">Why privacy matters in advanced analytics\u00a0<\/h2>\n<p>With expanding data protection regulations, privacy is a critical consideration in advanced analytics. Collecting and analysing user data without proper safeguards can create legal, ethical and reputational risks.\u00a0<\/p>\n<p>Growing consumer awareness also makes privacy a key factor in trust and brand loyalty \u2014 both of which are essential for long-term business success.\u00a0<\/p>\n<p>Despite a clear trend towards privacy-conscious practices, the latest\u00a0<a href=\"https:\/\/www.salesforce.com\/resources\/research-reports\/state-of-marketing\/\" target=\"_blank\" rel=\"noreferrer noopener\">Salesforce State of Marketing Report<\/a>\u00a0shows that most teams\u2019 analytics still hinge on third-party data.\u00a0<\/p>\n<p>These figures suggest there\u2019s tension between leveraging rich datasets for insights and maintaining user trust, especially in a post-cookie world.\u00a0<\/p>\n<p>So what does this mean for advanced marketing analytics?<\/p>\n<p>It means that there must be a balance between innovation and responsibility. Collecting necessary data, securing it properly and getting user consent are no longer optional \u2014 they\u2019re essential to sustainable analytics strategies.\u00a0<\/p>\n<h3 class=\"wp-block-heading\">How principles of data privacy apply to advanced marketing analytics<\/h3>\n<p>To apply privacy effectively in advanced analytics, businesses should follow key principles drawn from regulations like the\u00a0<a href=\"https:\/\/gdpr-info.eu\/art-5-gdpr\/\" target=\"_blank\" rel=\"noreferrer noopener\">GDPR<\/a>,\u00a0<a href=\"https:\/\/matomo.org\/faq\/new-to-piwik\/is-matomo-analytics-ccpa-compliant\/\">CCPA<\/a>\u00a0and\u00a0<a href=\"http:\/\/oecdprivacy.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">OECD<\/a>:<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Data minimisation:\u00a0<\/strong>Collect only what is necessary for analysis.<\/li>\n<li><strong>User consent:\u00a0<\/strong>Ensure transparent consent before processing\u00a0<a href=\"https:\/\/matomo.org\/faq\/privacy-considerations-for-personal-data-in-analytics\/\">personal data<\/a>.<\/li>\n<li><strong>Data security:\u00a0<\/strong>Implement technical and organisational safeguards to protect data.<\/li>\n<li><strong>Accountability:\u00a0<\/strong>Maintain clear records and processes to demonstrate compliance.<\/li>\n<\/ul>\n<p>The exact principles businesses must follow depend on the location of the company, the type of data it collects and its industry.<\/p>\n<p>For example, companies operating in the European Union must follow the\u00a0<a href=\"https:\/\/matomo.org\/gdpr-analytics\/\">General Data Protection Regulation<\/a>\u00a0(GDPR) guidelines, while California residents\u2019 data must follow the\u00a0<a href=\"https:\/\/matomo.org\/blog\/2023\/08\/ccpa-compliance\/\">California Consumer Privacy Act<\/a>.<\/p>\n<p>Industries like\u00a0<a href=\"https:\/\/matomo.org\/healthcare-analytics\/\">healthcare<\/a>\u00a0have stricter rules (such as\u00a0<a href=\"https:\/\/matomo.org\/faq\/new-to-piwik\/matomo-analytics-hipaa-compliance\/\">HIPAA<\/a>), which require enhanced security and consent practices.<\/p>\n<h2 class=\"wp-block-heading\">Advance your marketing analytics with Matomo\u00a0<\/h2>\n<p>Ethical platforms can pair advanced marketing analytics with strong data privacy protection, so you can analyse behaviour, attribute conversions, and optimise campaigns while respecting user rights.<\/p>\n<p>For example, with Matomo you can:<\/p>\n<p>Wondering how advanced analytics can deliver meaningful insights without compromising privacy? Explore Matomo\u2019s\u00a0<a href=\"https:\/\/matomo.org\/features\/\">privacy features<\/a>\u00a0to see how ethical analytics helps you understand behaviour, optimise campaigns, and make smarter decisions without risking user trust.<\/p>\n<p><a href=\"https:\/\/matomo.org\/start-free-analytics-trial\/\">Start your 21-day free trial<\/a>\u00a0to take control of your data. No credit card required.<\/p>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>With growing privacy concerns and compliance requirements, many marketers hesitate to really dig into their data. But page views, bounce rates, and other basic metrics only show part of the picture.\u00a0 To truly understand your audience, you need to go beyond surface-level metrics and analyse behaviour. And advanced marketing analytics helps attribute conversions and guide [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":328813,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12033],"tags":[2278,12765,2059,8402,970,2961],"dealstore":[],"offerexpiration":[],"class_list":["post-328812","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-advanced","tag-analytics","tag-guide","tag-marketing","tag-platform","tag-simple"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A simple guide to advanced marketing analytics - Analytics Platform - Som2ny Network<\/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:\/\/fivemor.com\/?p=328812\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A simple guide to advanced marketing analytics - Analytics Platform - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"With growing privacy concerns and compliance requirements, many marketers hesitate to really dig into their data. 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