Marketing analytics is a crucial aspect of modern marketing, allowing businesses to understand customer behavior, measure campaign effectiveness, and make data-driven decisions to optimize their strategies.
By delving into the world of marketing analytics, you can unlock valuable insights that can drive business growth, improve ROI, and ultimately lead to a more successful marketing approach.
Whether you’re a seasoned marketer looking to enhance your skillset or a newcomer eager to learn the ropes, mastering marketing analytics is a powerful tool for navigating the complexities of today’s dynamic market.
Finding a comprehensive and insightful marketing analytics course on Udemy can be a challenge, with a plethora of options vying for your attention.
You’re seeking a course that strikes the perfect balance between theoretical knowledge and practical application, providing you with the skills and confidence to tackle real-world marketing challenges.
You want a course that’s engaging, taught by industry experts, and equips you with the tools to become a data-driven marketing professional.
For the best marketing analytics course overall on Udemy, we recommend Marketing Analytics: Stand Out by Becoming an Analytics Pro!
This comprehensive course covers a wide range of topics, from web and social media analytics to customer analytics and forecasting, providing a solid foundation for anyone looking to excel in this field.
It combines theoretical concepts with practical applications, using real-life case studies and hands-on exercises to solidify your understanding.
While this is our top pick, we’ve curated a list of other excellent marketing analytics courses on Udemy, each with its own unique strengths and focus areas.
Keep reading to discover more options, tailored to specific aspects of marketing analytics and learning levels, ensuring you find the perfect course to propel your marketing career forward.
Marketing Analytics: Stand Out by Becoming an Analytics Pro!
The course kicks off with an introduction and quickly moves into practical applications, using real-life case studies to teach you how to analyze and apply key metrics across web, social media, and digital advertising.
You’ll learn to measure traffic sources, engagement, bounce rates, and more, equipping you with the knowledge to optimize online campaigns effectively.
The course dives deep into customer analytics, covering essential metrics like customer acquisition cost, lifetime value, and net promoter score.
This section is crucial for understanding your audience and improving customer satisfaction and engagement.
Practical application continues as you work with new data sets, learning to calculate customer metrics, build PivotCharts and PivotTables, and analyze demographic information.
This hands-on approach prepares you to tackle marketing analytics challenges confidently.
A standout feature of this course is its focus on modeling new marketing initiatives.
You’ll learn to forecast strategy success, evaluate ad channels, and understand ROI, complete with projections and sensitivity analysis.
The course concludes by teaching you how to create dynamic, interactive dashboards that visually present key performance indicators (KPIs), making it easier to track success and make informed decisions.
By the end of this course, you’ll have a solid foundation in marketing analytics, ready to analyze data, refine strategies, and drive better business results.
Marketing Customer Analytics, Segmentation, and Targeting
This course takes you on a deep dive into customer analytics, showing you how to slice and dice your market for laser-focused targeting.
You learn about different ways to segment your audience, like demographics, psychographics, and behavior patterns, and how to pick the perfect target market for your business.
You also discover how to put these strategies into action using real-world examples.
Get ready to get your hands dirty with powerful tools like MRI-Simmons and ESRI BAO.
You learn how to create crosstabs, decipher complex data, and even uncover hidden niche markets for thousands of products.
You’ll master Tapestry Segmentation, a technique that helps you understand the unique characteristics of different locations.
This course even throws in insights into the Restaurant Marketplace Profile and Retail Marketplace Analytics, arming you with valuable knowledge about these specific markets.
Finally, you’ll explore the world of Household and Home Expenditure Analytics, where you’ll unearth a treasure trove of data about consumer spending habits.
Web Analytics & Digital Marketing Analytics - Zero to Hero
This course begins by building a solid foundation.
You will delve into the mechanics of web analytics—how it works, its core components, and how they interlock.
You will uncover the crucial role of digital marketing and web analysts and how these professionals utilize data to drive strategic decisions.
The course then guides you through the marketing analytics process, from strategy development to the execution of reporting, analysis, and recommendations.
You will gain hands-on experience with essential data and tools, learning to analyze and interpret data like a pro.
You will master the art of transforming raw data into actionable insights, optimizing your marketing strategies for maximum impact.
This course equips you with the knowledge to measure your marketing success, track progress, and continuously refine your efforts.
You will emerge with valuable, in-demand skills, becoming an invaluable asset to any organization.
Marketing Analytics: Forecasting Models with Excel
You will learn how to create forecasting models using Excel, starting from the basics of forecasting and data preparation.
The course covers key techniques like linear regression, handling special events like holiday sales, identifying seasonality and trend, and even forecasting for new products using models like the S-curve, logistic curve, Gompertz curve, and Bass Diffusion Model.
One of the highlights is learning multiple regression, where you’ll understand how to include categorical variables and assess model accuracy using metrics like R-squared and RSE.
You’ll also dive into the OLS method and learn to interpret the results.
Special emphasis is given to Excel implementation, with hands-on training on functions, charts, pivot tables, and even the new Analyze Data option for Microsoft 365 users.
The course doesn’t just stop at theory – you’ll get practical experience in data exploration, outlier treatment, missing value imputation, variable transformation, and correlation analysis.
You’ll learn different forecasting models like additive, multiplicative, moving average, and Winter’s method to handle changing trends and seasonality over time.
With quizzes and milestones along the way, you’ll solidify your understanding of concepts like linear regression using Solver, identifying trends and seasonality, and implementing Bass Diffusion Model in Excel.
The course even includes an Excel crash course, ensuring you have the necessary skills to work with data effectively.
Marketing Analytics & Retail Business Management using Excel
The syllabus covers a wide range of topics essential for making data-driven decisions in retail and marketing.
The course begins with an introduction to forecasting, where you’ll learn the basics and create linear models using trendlines.
You’ll then dive into preparing data for regression models, which includes gathering business knowledge, exploring data, handling outliers, imputing missing values, transforming variables, and creating dummy variables for qualitative data.
The course also covers correlation analysis and creating correlation matrices in Excel.
Next, you’ll learn how to create simple and multiple linear regression models using the ordinary least squares (OLS) method.
You’ll assess the accuracy of predicted coefficients and the overall model using metrics like RSE and R-squared.
The course also teaches you how to handle special events like holiday sales and identify seasonality and trends for forecasting using additive and multiplicative models in Excel.
Market basket analysis is another key topic covered, where you’ll learn to calculate lift values and optimize store layouts.
The course introduces named ranges and the INDIRECT function in Excel to make your analyses more dynamic.
You’ll also learn how to perform RFM (recency, frequency, monetary) analysis to segment customers based on their purchasing behavior.
In the pricing section, you’ll learn about different pricing objectives and strategies like price bundling and non-linear pricing.
You’ll estimate demand using linear, power, and subjective demand curves in Excel.
The course also covers evaluating pricing strategies and solving bundling problems.
The final section focuses on customer lifetime value (LTV) and how to calculate it using Excel.
You’ll also learn to perform sensitivity analysis to understand how changes in key variables impact LTV.
Throughout the course, you’ll work with real-world data and learn to use Excel functions and charts to analyze and visualize your findings.
Marketing Analytics: Pricing Strategies and Price Analytics
This course equips you with practical skills to master pricing strategies and price analytics, enabling you to confidently price products or services.
You’ll learn to build a robust pricing policy by understanding different pricing goals, such as maximizing profits or gaining market share.
You’ll then learn to estimate demand and costs, vital components of pricing.
The course utilizes Excel to model real-world scenarios, allowing you to estimate demand curves using various methods, model cost functions, and maximize profits.
You will then dive into competitive analysis, a crucial aspect of pricing, and explore various pricing strategies.
These include price bundling, where you’ll learn about different types and how to determine the optimal bundle pricing.
You’ll also explore non-linear pricing, understanding how to set prices based on quantity or customer segments.
Additionally, you’ll delve into price skimming, a strategy for maximizing profits by strategically pricing products over time.
The course goes beyond the basics by introducing revenue management techniques and teaching you how to handle uncertainty in pricing.
You will gain hands-on experience with powerful tools like Excel Solver to tackle complex pricing problems.
Through real-world examples and practical exercises, you’ll solidify your understanding and gain the confidence to make informed, data-driven pricing decisions that drive business success.
Marketing Analytics Mastery: From Strategy to Application
This course takes you on a deep dive into the world of marketing analytics, equipping you with the tools and knowledge to measure success and optimize your marketing campaigns.
You’ll learn how to create a robust data strategy, define key metrics like KPIs, and understand the importance of measuring across all your marketing channels.
The course doesn’t just scratch the surface; it goes deep into the specifics of tools like Google Analytics 4 (GA4) for web analytics and Meta Business Suite for social media analysis.
You’ll learn to navigate their dashboards, build custom reports, and use them to extract meaningful insights from your data.
You’ll go beyond simply collecting data and learn how to engineer it for greater insights.
This includes using UTM parameters to track the effectiveness of your inbound links and understand which campaigns are driving traffic and conversions.
The course helps you master the art of A/B testing, teaching you how to set up tests, determine the right sample size, and analyze the results to make data-driven decisions for optimizing your campaigns.
You’ll learn how to use historical data analysis to identify trends and patterns, allowing you to anticipate future outcomes and adapt your strategies accordingly.
Finally, you’ll learn how to present your findings in a clear and compelling way.
The course covers the essentials of building insightful dashboards using Google Looker Studio, allowing you to visualize your data and communicate your findings effectively.
You’ll also learn how to calculate and understand your marketing ROI, going beyond just financial returns to measure the overall impact of your marketing efforts.
Marketing Analytics: Customer Value and Promotion Strategy
This course teaches you how to measure and increase customer value using data-driven marketing decisions.
You will delve into Lifetime Customer Value (LCV), a crucial metric for understanding the long-term profitability of your customer base.
The course guides you in building an Excel model to calculate LCV, moving beyond simply plugging numbers into formulas.
You learn the theory behind LCV and how to use it to make strategic marketing decisions.
You will explore sensitivity analysis, which helps you understand how changes in customer behavior impact LCV.
This allows you to predict the impact of your marketing campaigns and pricing strategies.
The course then introduces you to Monte Carlo Simulation, a powerful tool for estimating uncertainty in your LCV calculations.
Through step-by-step guidance, you will learn how to use Excel to build and run simulations, ultimately quantifying the risk associated with your predictions.
By the course’s end, you will confidently apply LCV calculation and risk quantification to your marketing decisions.
You will have also honed your skills in essential Excel functions and popular Excel charts, becoming proficient in using this essential data analysis tool.
Market Analytics: Become a Data-Driven Marketing Expert
This course on marketing analytics will teach you how to use data to improve your marketing strategies.
You will discover how to divide your target audience into smaller groups with shared characteristics through market segmentation techniques, including cross-tabulation, regression-based segmentation, and cluster analysis.
You will also learn how to use surveys to gather information for effective market segmentation.
You will then dive into price analytics, where you will learn how to evaluate pricing strategies using tools like break-even analysis, Net Present Value, and Internal Rate of Return models.
You will understand price elasticity, optimize pricing for different market segments, and explore the concept of price discrimination to maximize revenue.
Finally, this course will equip you with the skills to predict future sales using historical data through sales forecasting.
You will explore various forecasting methods, including moving averages, forecasting trends, and accounting for seasonal patterns.
Marketing Analytics: The Full Marketing Research Masterclass
This course teaches you how to gather and understand data to create successful marketing strategies.
You begin by learning the basics of marketing analytics, including qualitative and quantitative research methods.
You also learn important concepts like the means-end theory and how to use laddering techniques.
The course then teaches you how to use tools like Google Trends, Google Shopping Insights, and Google’s Consumer Barometer to analyze consumer data.
You discover how to use OEC’s market research tool to analyze market complexity.
You also discover how to use Feedly for keyword tracking.
The course teaches you how to analyze a competitor’s website with Similarweb and how to use Hubspot’s website grader to assess website performance.
Through tutorials and examples, this course gives you the chance to put your knowledge into action.
You will learn how to use tools like Google Trends to analyze search trends.
You will learn to use Google Shopping Insights to understand product searches, and Google’s Consumer Barometer to explore consumer data.
You even become an expert in using OEC’s market research tool to analyze markets with economic complexity.
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