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Digital Marketing Course Outline

Digital Marketing Professional Program — 2026 Digital Marketing Course Outline Master Ecosystem Strategy, Content Design, SEO, Paid Ads, AI Automation, & Analytics ⏳ Course Scale 12 Modules (55 Total Lessons) 📱 Delivery Method Telegram Self-Paced Learning 📈 Course Level Beginner to Intermediate 🎨 Practical Portfolio 2 Hands-on Applied Projects 📋 Detailed Curriculum & Module Outlines Click on "Explore Module" to access specific reading materials, practical tools, and resources. Module 1 Fundamentals of Digital Marketing Explore Module → What Is Digital Marketing? Digital Marketing vs Traditional Marketing ...
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MODULE 12: DIGITAL MARKETING ANALYTICS AND PERFORMANCE MEASUREMENT

⬅ Previous Next ➡ 🔹 Lesson 1: Introduction to Digital Marketing Analytics 1. Learning Objectives By the end of this lesson, learners should be able to: Define digital marketing analytics and explain its importance. Identify common digital marketing metrics and key performance indicators (KPIs). Explain how analytics supports marketing decisions. Calculate basic digital marketing performance indicators. Interpret marketing results and recommend improvements. 2. Introduction Digital marketing analytics is the process of collecting, measuring, and analysing data from digital marketing activities to understand performance and improve results. Businesses use analytics to answer important questions: How many people saw an advertisement? How many visited the website? How many contacted the business? How many eventually purchased a product? For example, a training institution in Malawi may promote a professional short course through Facebook and WhatsApp. Althoug...

MODULE 11: AI AND AUTOMATION IN DIGITAL MARKETING

⬅ Previous Next ➡ 🔹 Lesson 1: Introduction to AI - Powered Digital Marketing 1. Learning Objectives By the end of this lesson, learners should be able to: Define AI-powered digital marketing. Identify common applications of AI in digital marketing. Explain the benefits and limitations of AI marketing tools. Apply AI tools to a simple digital marketing task. 2. Introduction Artificial intelligence (AI) refers to computer systems designed to perform tasks that normally require human intelligence, such as understanding language, identifying patterns, generating content, and making predictions. AI-powered digital marketing is the use of AI tools to support activities such as content creation, customer communication, audience analysis, advertising, and campaign optimisation. For example, a small business in Malawi selling agricultural products can use an AI tool to generate ideas for Facebook posts, draft WhatsApp promotional messages, and organise a weekly co...

MODULE 10: MOBILE, MESSAGING AND DIRECT DIGITAL MARKETING

⬅ Previous Next ➡ 🔹 Lesson 1: Introduction to Mobile Marketing 1. Learning Objectives By the end of this lesson, learners should be able to: Define mobile marketing and explain its importance. Identify common mobile marketing methods and channels. Explain the benefits and challenges of mobile marketing. Apply mobile marketing techniques to a realistic business situation. 2. Introduction Mobile marketing is the use of mobile devices, such as smartphones and tablets, to communicate with customers, promote products or services, and encourage specific actions. These actions may include visiting a website, contacting a business, registering for training, or purchasing a product. Mobile marketing is important because many people use smartphones to access social media, search for information, communicate through messaging applications, and shop online. In Malawi, for example, a small business can promote its products through WhatsApp Status, Facebook posts, SMS...