Free Udemy Course: Product Analytics: Data-Driven Growth and Retention

Are you a product manager, growth lead, marketing manager, or founder looking to make smarter product decisions using data without relying on a data science team?In this hands-on course, you’ll learn how to track, interpret, and act on product analytics to improve user experience, retention, and revenue. Whether you're launching a new product or optimizing an existing one, this course gives you the frameworks, metrics, and thinking tools you need to turn user behavior into actionable insights.We’ll cover essential concepts like funnels, retention, churn, LTV, and segmentation, and guide you through practical exercises using real-world data patterns. You’ll learn how to define what to track, make sense of messy spreadsheets, and prioritize decisions that move your product forward.No coding or advanced math required, just a curiosity for product data and a desire to build better experiences.By the end of this course, you’ll be able to:Understand and apply core product analytics conceptsSet up event-based tracking and meaningful metricsIdentify growth opportunities through retention and funnel analysisSegment users and translate data into product strategyThe course includes:Part 1: Product Analytics FoundationsUnit 1: What is Product Analytics?Why do Product Analytics Matter?Clarity and purposeUncovers new insightsHelps you figure out how to not let your product sinkWhat are the “right” data points to measure?The “low” performing gameHow can metric results influence the product strategy?Bias in interpretation of dataUnit 2: Metrics vs Mission, Why they matter and North Star ThinkingUnit 3: Measuring the Entire JourneyGoing through the FunnelMeasuring the journeyGetting to the juicePart 2: Product Metrics (Acquisition, Usage, Retention, Cost & Monetization)Unit 4: User DataInstalls, First Launches, Sign-upsConversion RateUnit 5: Revenue MetricsDAU/MAU RatioARPULTVCACUnit 6: User Retention and StickinessRetention curvesRevenue retentionEvent-based retentionChurn analysisReactivation strategiesThe cost of poor retentionUX and value examplesUnit 7: Monetization and MetricsPricing models and revenue streamsIAPs, Ads, Paywalls, SubscriptionsMonetization and UX tradeoffsExperimentation and A/B testingMonetization examplesUnit 8: Distribution and ChannelsCAC across channelsChannel competitionMeasuring product-channel fitKey metrics per channelPart 3: Behavioral and Experience MetricsUnit 9: Behavioral MetricsFeature usageProduct and feature pairingSentiment analysisEmotion detection (experimental)Location analysis (experimental)User interviews and surveysSegmentationDevice specs and UI/UX analysis