Modern Growth Hacking: Proven Tactics For Rapid Results
Published 11/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Data-Driven Growth Hacking: Analyzing user behavior, A/B testing, and optimizing conversions for growth
What you’ll learn
Master growth marketing fundamentals and apply the AARRR framework for sustainable business growth.
Analyze data to identify growth opportunities, prioritize experiments, and measure campaign success.
Create GTM plans for new products/services, including market research and customer segmentation.
Develop leadership skills and strategic thinking to lead growth marketing teams and initiatives.
Requirements
This course is designed to be accessible to a wide range of individuals, from aspiring marketers to seasoned professionals. There are no strict prerequisites. However, the following will enhance your learning experience: Basic understanding of marketing concepts: Familiarity with core marketing principles will be helpful, but not mandatory. Curiosity and a growth mindset: A desire to learn and experiment with new approaches is essential. Basic computer skills: You should be comfortable using a web browser and online tools.
Description
Overview
Section 1: Foundations of Data-Driven Growth Hacking
Lecture 1 Introduction to Growth Hacking: Defining growth hacking and its core principles
Lecture 2 The Growth Hacking Mindset
Lecture 3 Traditional vs. Growth Marketing (Key differences and approaches)
Lecture 4 The Growth Hacking Process (Steps involved in a growth hacking campaign)
Lecture 6 Growth Hacking for Enterprises (Adapting strategies for large organizations)
Lecture 7 Airbnb’s Growth Strategies (Case study: Early growth tactics)
Lecture 8 Dropbox’s Referral Program (Case study: Leveraging virality)
Lecture 9 Hotmail’s Viral Growth (Case study: Early viral marketing)
Lecture 10 Creativity in Growth Hacking (Importance of innovative thinking)
Section 2: Analyzing User Behavior for Growth
Lecture 11 Understanding User Behavior (Why it matters for growth)
Lecture 12 User Segmentation and Targeting (Identifying your ideal customer)
Lecture 13 Customer Journey Mapping (Visualizing the user experience)
Lecture 14 Analyzing User Data with Google Analytics (Website traffic and behavior)
Lecture 15 Social Media Analytics (Understanding audience engagement)
Lecture 16 Analyzing User Feedback (Surveys, reviews, and social listening)
Lecture 17 Using Heatmaps and Session Recordings (Visualizing user interactions)
Lecture 18 Applying AI for User Behavior Analysis (Predictive modeling and insights)
Lecture 19 Personalizing User Experiences (Tailoring content and offers)
Lecture 20 Case Studies in User Behavior Analysis (Real-world examples)
Section 3: A/B Testing for Data-Driven Decisions
Lecture 21 Introduction to A/B Testing (Methodology and best practices)
Lecture 23 A/B Testing Tools and Platforms (Optimizely, VWO, Google Optimize)
Lecture 24 A/B Testing for Website Optimization (Landing pages, calls-to-action)
Lecture 25 A/B Testing for Email Marketing (Subject lines, content, design)
Lecture 26 A/B Testing for Social Media Ads (Targeting, creatives, copy)
Lecture 27 Analyzing A/B Test Results (Statistical significance and interpretation)
Lecture 29 A/B Testing with AI (Automated optimization and personalization)
Lecture 30 Case Studies in A/B Testing (Real-world examples and results)
Section 4: Conversion Rate Optimization (CRO) Techniques
Lecture 31 Understanding the Conversion Funnel (Identifying key stages and bottlenecks)
Lecture 32 CRO for Websites and Landing Pages (Design, copywriting, UX)
Lecture 33 CRO for Forms and Lead Capture (Optimizing for completion rates)
Lecture 34 CRO for Email Marketing (Automation, personalization, segmentation)
Lecture 35 CRO for Social Media Marketing (Content, engagement, calls-to-action)
Lecture 36 CRO for Mobile Optimization (Ensuring a seamless mobile experience)
Lecture 37 Using Analytics to Track Conversions (Identifying areas for improvement)
Lecture 38 AI-Powered CRO Tools and Platforms (Automated optimization and insights)
Lecture 39 CRO for E-commerce (Product pages, checkout process, upselling)
Lecture 40 Case Studies in CRO (Real-world examples and success stories)
Section 5: AI and Prompt Engineering for Growth Hackers
Lecture 41 AI for Content Creation and Optimization (Generating high-quality content)
Lecture 42 AI for Customer Segmentation and Targeting (Identifying high-value customers)
Lecture 43 AI for Marketing Automation (Email marketing, social media management)
Lecture 44 AI for Personalization (Tailoring content and offers to individuals)
Lecture 45 AI for Predictive Analytics (Forecasting user behavior and trends)
Lecture 46 Introduction to Prompt Engineering (Crafting effective prompts for AI tools)
Lecture 47 Prompt Engineering for Content Creation (Generating marketing copy and visuals)
Lecture 48 Prompt Engineering for Data Analysis (Extracting insights from data)
Section 6: Building a Growth Hacking Strategy
Lecture 49 Identifying your Ideal Customer Profile (ICP)
Lecture 51 Building a Growth Hacking Roadmap (Planning and executing your strategy)
Lecture 52 Measuring and Tracking Your Progress (Analyzing results and making adjustments)
Lecture 53 Building a Growth Hacking Team (Roles and responsibilities)
Lecture 54 Growth Hacking for Long-Term Success (Building a sustainable growth engine)
Lecture 55 Case Studies in Growth Hacking Strategy (Real-world examples)
Lecture 56 The Future of Growth Hacking (Emerging trends and technologies)
