Marketing Analytics

Pick your next course from the easyT library

How to start in this field

4 courses

  • Marketing with ScrapeBox
    4.4(67)|3,661|2:25

    Marketing with ScrapeBox

    Data Scraping for Marketing Purposes

    Eng. Kanaan Al-Hallaj
    Eng. Kanaan Al-Hallaj
    Start your journey now
  • Marketing Management
    4.7(93)|3,437|7:14

    Marketing Management

    Analyzing Labor Market and Customer Needs

    Ahmed Ibrahim
    Ahmed Ibrahim
    Start your journey now
  • Understanding Buyer Behavior
    4.9(88)|2,682|2:38

    Understanding Buyer Behavior

    Learn Techniques to Analyze Buyer Behavior for Better Sales

    Sami Aziz
    Sami Aziz
    Start your journey now
  • Sales Forecasting
    4.6(57)|1,107|4:01

    Sales Forecasting

    Secrets of Sales Forecasting with Professional Techniques

    Dr. Mohamed Al-Tihami
    Dr. Mohamed Al-Tihami
    Start your journey now

3 diplomas

What you will learn in Marketing Analytics courses

Marketing with ScrapeBox

This course explains marketing through data scraping, using ScrapeBox to collect data from websites for digital marketing purposes. You start with buying and activating the software and why ScrapeBox, then an introduction to the program, data collection, and its benefits for marketing, plus the graphical interface and advanced features. Next you learn how to extract free proxies and use them in marketing, generate many keywords from a single word, do marketing through website contact forms, and extract the social media accounts of websites.

  • Master the use of ScrapeBox for data collection and analysis.
  • Enhance marketing strategies using extracted data.
  • Easily find relevant links and domains.

Marketing Management

This course explains marketing management from the basics to preparing a complete marketing plan. It starts by defining marketing and the importance of managing it, then studying the market and competitive forces, studying competitors and studying customers, each in two parts. After that it explains SWOT analysis, marketing goals, marketing strategies and targeting. Then it moves to the marketing mix, pricing and promotion, and closes with control and personal branding. The course suits business owners, people working in marketing and sales, and anyone who wants to enter the marketing field and understand how a company studies the market and its customers.

  • Ability to design and implement effective marketing strategies.
  • Conduct comprehensive market studies including customers and competitors.
  • Analyze data using appropriate tools to improve performance.

Understanding Buyer Behavior

This course shows you how to understand buyer behavior and purchase decisions so you can market and sell better. It starts with an introduction to buyer behavior and purchase decisions, then the factors that influence buyer behavior, in two parts. Next you learn how culture affects purchase decisions with real examples, the role of social class, the role of family and friends, and the effect of personal factors. Then you move to wants and motives, psychological factors and how they shape the buyer's thinking and actions, and the effect of situations on marketing.

  • Better understanding of consumer behaviors and how to analyze them.
  • Develop effective marketing strategies based on buyer behavior insights.
  • Improve your ability to accurately target customers.

Sales Forecasting

This course teaches sales forecasting, meaning predicting future sales volume using data and sound methods to make more accurate decisions. It starts with an introduction and the importance of data analysis in sales forecasting, with a practical application in Excel, then the sources of historical sales data and the steps to analyze them correctly, with real-life cases. Next you learn the difference between quantitative and qualitative methods and when to use each one, and you learn forecasting with Exponential Smoothing and Trend Projection, the main qualitative methods and the factors that affect choosing the most suitable one.

  • Master data analysis and sales forecasting skills with high accuracy.
  • Ability to apply advanced forecasting methods for successful decision-making.
  • Proficient in integrating quantitative and qualitative methods and using AI.