Course
Marketing Analytics in Tableau
IntermediateSkill Level
Updated 09/2023TableauData Preparation6 hr17 videos53 Exercises4,150 XP3,690Statement of Accomplishment
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Gain an Introduction to Marketing
Learn how to use Tableau to analyze marketing performance and drive improvement. In this interactive course, you’ll learn the basics of modern marketing, like the difficult challenge of marketing attribution and the unique elements of B2B vs. B2C marketing. You’ll also get hands-on practice with Tableau functions, like FIXED, DATEPARSE, and CONTAINS statements which you’ll frequently use when working with marketing data.Use Tableau Functions for Marketing Analysis
You’ll use these functions to conduct a series of analyses, like trending performance over time, and looking at important 2x2 charts, that marketing analysts conduct regularly. You will conduct these analyses across a series of different types of marketing, including ads you see as you surf the internet or emails you find in your inbox. By the end of the course, you’ll work with data from each of these popular marketing methods and gain a deeper understanding of each.Learn Key Marketing Benchmarks
You’ll learn key questions to drive your analytics, how to benchmark performance using standard metrics like LTV/CAC and engagement rates, and methods to identify areas for improvement.
Prerequisites
Calculations in TableauStatistical Techniques in Tableau1
Web Traffic, Journeys, and Attribution
In chapter one, you will gain a thorough understanding of the basics of marketing data and analytics, starting with how data is generated and stored. You will cover marketing channels, journeys, and understand how they are defined. By the end of this chapter, you will be able to restructure data to identify those journeys and assign credit to interactions via different attribution models.
2
Email and Paid Social Marketing
In chapter two, you will dive deeper into two specific marketing channels: email and paid social marketing. You will cover the strategies behind each channel, typical use cases, and understand the components that make up each type of marketing. By the end of this chapter, you will be able to analyze performance across several metrics unique to each channel and understand how to use data to identify areas for improvement.
3
Paid Search and Organic
In chapter three, you will build on analytics learned in chapter two to better understand two other heavily-used channels; paid search and organic marketing. You’ll learn how each of these channels works, their similarities and differences, and the importance of web pages and digital strategy. Additionally, you’ll examine relationships between data variables and how to manipulate data (both qualitative and quantitative) to perform analyses. By the end of this chapter, you will be able to analyze performance across various metrics unique to each channel and understand how changes in one channel may impact another.
4
LTV/CAC
In chapter four, you will combine what you’ve learned in previous chapters to calculate and analyze LTV, CAC, and their ratio. You’ll learn how to build these metrics, such as average order size, age, and lifespan, from their component parts and examine changes in them. Returning to earlier work on paid marketing, you’ll analyze changes in CAC over time through a unioned data set, gaining exposure to connived data sets in Tableau. You’ll then wrap up the course by calculating LTV/CAC.
Marketing Analytics in Tableau
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FAQs
What Tableau functions will I learn in this marketing analytics course?
You work with FIXED level-of-detail expressions, DATEPARSE for date formatting, and CONTAINS for string matching, all commonly needed when analyzing marketing data.
What marketing channels are analyzed in this course?
The course covers web traffic and attribution, email marketing, paid social, paid search, and organic marketing, with dedicated chapters for each channel group.
What is LTV/CAC and does this course teach me to calculate it?
LTV is customer lifetime value and CAC is customer acquisition cost. The final chapter teaches you to build both metrics from component parts and analyze their ratio over time.
How much Tableau experience do I need before enrolling?
You need four prerequisite Tableau courses covering introduction, analyzing data, calculations, and statistical techniques. This is an intermediate course that builds on those skills.
Does this course cover marketing attribution models?
Yes. Chapter 1 teaches you how to restructure journey data and assign credit to customer interactions using different attribution models.
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