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    Marketing Analytics Mastery: KPIs, Funnels & Revenue

    Posted By: lucky_aut
    Marketing Analytics Mastery: KPIs, Funnels & Revenue

    Marketing Analytics Mastery: KPIs, Funnels & Revenue
    Published 10/2025
    Duration: 7h 26m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.99 GB
    Genre: eLearning | Language: English

    A hands-on guide to marketing analytics with Mixpanel, Google Analytics, and business case studies.

    What you'll learn
    - Understand the fundamentals of marketing analytics and its importance in modern business
    - Learn the four types of analytics and how they apply to marketing
    - Explore how STP (Segmentation, Targeting, Positioning) and the 4Ps fit into analytics
    - Identify and analyze different types of marketing data sources
    - Master key product and marketing metrics used across industries
    - Understand and apply the AARRR (Pirate Metrics) framework
    - Learn to analyze user acquisition using real-world apps and examples
    - Break down and evaluate modern marketing funnels
    - Calculate and interpret Customer Acquisition Cost (CAC)
    - Measure CAC to LTV ratios and their impact on business growth
    - Perform hands-on exercises like funnel analysis, channel attribution, and A/B testing
    - Segment customers with RFM analysis for e-commerce and SaaS businesses
    - Understand ARPU, LTV, unit economics, and cost structures
    - Apply unit economics frameworks to marketplaces and SaaS companies
    - Learn the basics of normalization and campaign evaluation
    - Get hands-on training with Google Analytics and Mixpanel
    - Apply analytics through case studies in e-commerce and hospitality

    Requirements
    - Basic understanding of marketing or business concepts
    - Familiarity with Excel/Google Sheets for handling data
    - Curiosity about how businesses measure growth and performance
    - No advanced statistics or coding required — all concepts are simplified
    - A computer with internet access to complete exercises and assignments

    Description
    In today’s competitive world,marketing without data is just guesswork. The most successful businesses don’t simply launch campaigns — theymeasure, analyze, and optimizeevery customer interaction to fuel growth and profitability. This is whereMarketing Analyticscomes in.

    This course is designed to give you acomplete, practical journeythrough marketing analytics. You’ll start with the foundations, then dive into advanced metrics, KPIs, and tools — and along the way, you’ll apply your learning withhands-on exercises and real-world case studies.

    What You’ll Learn in This Course

    1. Foundations of Marketing Analytics

    What marketing analytics is and why it matters

    The four types of analytics (descriptive, diagnostic, predictive, prescriptive)

    HowSTP (Segmentation, Targeting, Positioning)and the4Psconnect with data-driven marketing

    2. Metrics and KPIs

    Introduction to product and marketing metrics

    TheAARRR (Pirate Metrics) frameworkand how to apply it

    Case example: applying AARRR to a grocery delivery app

    Deep dive into metrics tracked by leading companies like Amazon, Netflix, and Uber

    3. User Acquisition and Awareness

    Breaking downmodern marketing funnels

    Key cost-based metrics:Customer Acquisition Cost (CAC)

    Understanding theCAC to LTV ratio

    Exploring TOFU, MOFU, BOFU for funnel design and optimization

    4. Hands-On Exercises

    Campaign performance analysis

    Calculating CAC

    Funnel analysis: impressions to signups

    Channel attribution modeling

    Segmenting users by acquisition source

    A/B testing for landing pages

    Measuring the impact of discounts on acquisition

    5. Segmentation Strategies

    The four major types of segmentation

    Introduction toRFM Analysis

    Assignment: RFM analysis for e-commerce

    Interpreting and summarizing segmentation results for decision-making

    6. Revenue and Monetization

    Metrics:ARPU, LTV, CAC

    Basics ofunit economicsand cost structures

    Applying unit economics to marketplaces

    Campaign evaluation and normalization

    7. Analytics Tools in Practice

    Getting started withGoogle Analytics

    Setting upMixpanelfor SaaS and product analytics

    Funnels, cohorts, and retention analysis in Mixpanel

    Hands-on insights from real SaaS applications

    8. Case Studies

    Designing adynamic discounting strategyfor an e-commerce platform

    Building areal-time pricing enginefor a hotel booking app

    By the end of this course, you won’t just knowwhat marketing analytics is— you’ll knowhow to apply itto drive customer acquisition, retention, and revenue growth. Whether you’re a student, a professional, or a business owner, this course will give you theskills, tools, and frameworksto thrive in a data-driven marketing world.

    Who this course is for:
    - Students studying marketing, business, or data analytics
    - Marketing professionals who want to build data-driven skills
    - Entrepreneurs aiming to optimize their customer acquisition and revenue
    - Product managers and growth hackers focused on metrics and KPIs
    More Info