Marketing Analytics: Stand Out by Becoming an Analytics Pro!

Marketing Analytics: Stand Out by Becoming an Analytics Pro!, available at $124.99, has an average rating of 4.49, with 60 lectures, based on 7992 reviews, and has 25310 subscribers.

You will learn about Learn the most important marketing metrics and how to apply them to your data Analyze a company's PPC marketing campaign using key metrics Know how to ask the right questions from your data Build a marketing initiative forecast model from the ground up Build a dynamic dashboard to summarize your analysis This course is ideal for individuals who are Social media professionals or Marketing students or Digital advertisers or Marketing professsionals It is particularly useful for Social media professionals or Marketing students or Digital advertisers or Marketing professsionals.

Enroll now: Marketing Analytics: Stand Out by Becoming an Analytics Pro!

Summary

Title: Marketing Analytics: Stand Out by Becoming an Analytics Pro!

Price: $124.99

Average Rating: 4.49

Number of Lectures: 60

Number of Published Lectures: 59

Number of Curriculum Items: 60

Number of Published Curriculum Objects: 59

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Learn the most important marketing metrics and how to apply them to your data
Analyze a company's PPC marketing campaign using key metrics
Know how to ask the right questions from your data
Build a marketing initiative forecast model from the ground up
Build a dynamic dashboard to summarize your analysis

Who Should Attend

Social media professionals
Marketing students
Digital advertisers
Marketing professsionals

Target Audiences

Social media professionals
Marketing students
Digital advertisers
Marketing professsionals

In this big data age, knowing how to organize, synthesize, and analyze large quantities of marketing data is no longer an “good-to-have” skill. It is absolutely essential! Are you a student looking to set yourself apart from your peers? Are you looking to break into social media marketing? Do you want to become an expert in marketing analytics? If so, then this course is for you!�

In this course, we’ll teach you everything you need to know to become an expert in marketing analytics. No prior experience in social media marketing, statistics, or marketing required!

Our course is based on the hands-on, case-study method to learning. In other words, we’ll learn by analyzing the data in a real-life scenario. The course begins with an introduction to big data, data analytics, and marketing analytics. This will allow you to feel comfortable with these terms.

Afterwards, we move on to learning the most important web, social media, digital advertising, customer, and revenue metrics in marketing. As we learn each new metric, we’ll immediately apply it to the real-life case study.

We cap off the course by teaching you how to properly model out a new marketing initiative. This model will project out a campaign’s revenue and expenses for 2 years and will be complete with scenario and sensitivity analyses. We then conclude by summarizing our data in a beautiful, dynamic dashboard.

We are excited to have you join us on this journey and look forward to seeing you in the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Download the Files

Lecture 2: Introduction to the case study

Chapter 2: Web, Social Media, & Digital Advertising Analytics

Lecture 1: Web Analytics: Traffic sources

Lecture 2: Web Analytics: Time spent on site

Lecture 3: Web Analytics: Bounce/Abandonment rate

Lecture 4: Introducing the case study data

Lecture 5: Social Media Analytics: Followers/Likes

Lecture 6: Social Media Analytics: Engagement

Lecture 7: Social Media Analytics: Key takeaways

Lecture 8: Digital Ad Analytics: Impressions and reach

Lecture 9: Digital Ad Analytics: Click-through-rate (CTR)

Lecture 10: Digital Ad Analytics: Cost-per-click (CPC)

Lecture 11: Digital Ad Analytics:Cost-per-lead & Key takeaways

Chapter 3: Applying our Analytics

Lecture 1: Campaign Cost & # of Impressions

Lecture 2: Calculating CPC & Lead conversion

Lecture 3: Asking more questions of our data

Lecture 4: Analyzing our data by ad pt. I

Lecture 5: Analyzing our data by ad pt. II

Lecture 6: Calculating Cost-per-lead

Chapter 4: Customer Analytics

Lecture 1: Customer Analytics: Customer acquisition cost

Lecture 2: Customer Analytics: Customer lifetime value

Lecture 3: Customer Analytics: Customer lifetime value example

Lecture 4: Customer Analytics: Net promoter score

Lecture 5: Customer Analytics: Key takeaways

Chapter 5: Applying our Analytics pt. II

Lecture 1: Introduction to our new data

Lecture 2: Calculating the # of new customers

Lecture 3: Calculating average customer age & Days to convert

Lecture 4: Calculating customer acquisition cost & Average purchases

Lecture 5: Adding fields to our data

Lecture 6: Calculating touch points & Lead conversion

Lecture 7: Building a PivotChart with Slicers

Lecture 8: Analyzing age demographics

Lecture 9: Creating a PivotTable with a calculated field

Lecture 10: Calculating net promoter score

Lecture 11: First contact with customer

Lecture 12: Customer satisfaction

Lecture 13: Understanding customer engagement

Lecture 14: Calculating customer lifetime value

Chapter 6: Modeling Out a New Marketing Initiative

Lecture 1: Our Recommendation

Lecture 2: Introduction to modeling

Lecture 3: Evaluating new ad channels

Lecture 4: Calculating customer lifetime value

Lecture 5: Modeling tips and best practices

Lecture 6: Inputting our assumptions pt. I

Lecture 7: Inputting our assumptions pt. II

Lecture 8: Inputting our assumptions pt. III

Lecture 9: Projecting ad revenue pt. I

Lecture 10: Projecting ad revenue pt. II

Lecture 11: Projecting organic follower revenue

Lecture 12: Projecting expenses

Lecture 13: Calculating net profit and breakeven

Lecture 14: Understanding ROI

Lecture 15: Calculating our returns

Lecture 16: Creating a single-variable sensitivity table

Lecture 17: Creating a multi-variable sensitivity table

Chapter 7: Introduction to Dynamic Dashboards

Lecture 1: Presenting key performance indicators (KPIs)

Lecture 2: Creating spin buttons

Lecture 3: Making our dashboard dynamic

Lecture 4: Creating various charts and graphs

Instructors

Joseph @ Wisdify
CFO, Corporate Finance expert, Instructor, Mentor

Rating Distribution

1 stars: 30 votes
2 stars: 80 votes
3 stars: 828 votes
4 stars: 2879 votes
5 stars: 4175 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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