Marketing Analytics Retail Business Management using Excel

Marketing Analytics & Retail Business Management using Excel, available at $79.99, has an average rating of 4.49, with 126 lectures, 6 quizzes, based on 1460 reviews, and has 104778 subscribers.

You will learn about Become proficient in using powerful tools such as excel solver to create forecasting models Learn how to estimate the trend and seasonal aspects of sales Perform market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products Understand how to interpret the result of Linear Regression model and translate them into actionable insight Learn practical concepts of how to get revenue/profit optimized price point in case of Bundle products. Learn why cable companies bundle landlines, cell phone service, TV service, and Internet service (Bundling) Perform RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns. Learn to calculate customer’s lifetime value under different scenarios and use it to increase the company’s profitability. Incorporate the impact of discount rate and retention rate to calculate customer value This course is ideal for individuals who are Anyone curious to learn the analytics behind most popular marketing startegies It is particularly useful for Anyone curious to learn the analytics behind most popular marketing startegies.

Enroll now: Marketing Analytics & Retail Business Management using Excel

Summary

Title: Marketing Analytics & Retail Business Management using Excel

Price: $79.99

Average Rating: 4.49

Number of Lectures: 126

Number of Quizzes: 6

Number of Published Lectures: 72

Number of Published Quizzes: 6

Number of Curriculum Items: 132

Number of Published Curriculum Objects: 78

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Become proficient in using powerful tools such as excel solver to create forecasting models

Learn how to estimate the trend and seasonal aspects of sales

Perform market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products

Understand how to interpret the result of Linear Regression model and translate them into actionable insight

Learn practical concepts of how to get revenue/profit optimized price point in case of Bundle products.

Learn why cable companies bundle landlines, cell phone service, TV service, and Internet service (Bundling)

Perform RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.

Learn to calculate customer’s lifetime value under different scenarios and use it to increase the company’s profitability.

Incorporate the impact of discount rate and retention rate to calculate customer value

Who Should Attend

Anyone curious to learn the analytics behind most popular marketing startegies

Target Audiences

Anyone curious to learn the analytics behind most popular marketing startegies

You’re looking for a complete course on understanding Marketing Analytics and Retail Business Managementto drive business decisions involving production schedules, inventory management, promotional mail optimization, store layouting, estimating right bundle price, customer valuation and many other parts of the business., right?

You’ve found the right Marketing Analytics & Retail Business Management course! This courseteaches you everything you need to know about different forecasting models, Market Basket analysis, conducting market research, marketing analytics, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis and how to implement these models in Excel using advanced excel tool.

After completing this course you will be able to:

Implement forecasting models such as simple linear, simple multiple regression, Additive and multiplicative trend and seasonality model and many more, required for devising marketing analytics strategies effectively.

Perform marketing analytics and market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products.

Do RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.

Increase revenue/profit of your firm by implementing revenue / profit maximizing bundle price point using marketing analytics tool like Excel solver Add-in

Understand the value of your customers to make intelligent decisions based on recommendations of marketing analytics and marketing research on how to spend money acquiring them

Confidently practice, discuss and understand different marketing analytics models used by organizations

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics & Retail Business Management course.

If you are a business manager or an executive, or a student who wants to learn and apply forecasting models, marketing analytics techniques based on marketing research in real world problems of business, this course will give you a solid base for that by teaching you the most popular forecasting models and marketing analytics strategies and how to implement them.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts of marketing analytics, marketing research through how-to examples. Each section has the following components:

Theoretical concepts and cases of different forecasting models and marketing analytics techniques

Step-by-step instructions on implementing forecasting models and marketing analytics in excel

Downloadable Excel file containing data and solutions used in each lecture on marketing analytics and retail business management

Class notes and assignments to revise and practice the concepts on marketing analytics and retail business management

The practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing analytics, marketing research, forecasting techniques and data analytics in this course.

We are also the creators of some of the most popular online courses – with over 170,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman – Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, marketing analytics, marketing research, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts on Marketing analytics, marketing research, forecasting techniques. Each section contains a practice assignment for you to practically implement your learning on Marketing analytics, marketing research, forecasting techniques.

What is covered in this course?

Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will explore how one can use marketing analytics tools and forecasting models to

See patterns in time series data

Make forecasts based on models

Let me give you a brief overview of the course

Section 1 – Introduction

In this section we will learn about the course structure containing Marketing analytics, marketing research, forecasting techniques.

Section 2 – Basics of Forecasting

In this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in Excel

Section 3 – Getting Data Ready for Regression Model

In this section you will learn what actions you need to take step by step to get the data and then prepare it for the marketing analytics purpose. These steps are very important.

We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation. These are the building blocks of implementing marketing analytics techniques effectively.

Section 4 – Forecasting using Regression Model

This section starts with simple linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don’t understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables data set are interpreted in the results.

Section 5 – Handling Special events like Holiday sales

In this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.

Section 6 – Identifying Seasonality & Trend for Forecasting

In this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.

Section 7 – Market Basket Analysis and Lift

In this section we will learn about Marketing analytics, marketing research, market basket analysis and learn how to calculate lift to derive a store layout that maximizes sales from complementary products.

Section 8 – Recency, frequency, and monetary value analysis

In this section we will learn techniques to perform RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.

Section 9 – Recency, frequency, and monetary value analysis

In this section we will learn price bundling techniques and learn how to increase revenue/profit of your firm by implementing revenue / profit maximizing price point using Excel solver Add-in

Section 10 – Recency, frequency, and monetary value analysis

In this section, we will discuss about the basic of concepts of Customer Lifetime value and learn how to create excel model to find lifetime customer value and perform sensitivity analysis to capture variations in lifetime value under different scenarios.

Section 11 – Excel crash course

If you’re new to Excel, or you’ve played around with it but want to get more comfortable with Excel’s advanced features required for this course. Either way, this section will be great for you to revise your rusty excel skills .

Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel[Winston, Wayne L.]. We suggest this book as reading material for anyone aspiring to be a marketing analyst and gaining knowledge on Marketing analytics, marketing research, forecasting techniques and data analytics.

I am pretty confident that the course will give you the necessary knowledge and skills related to Marketing analytics, marketing research, forecasting techniques, to immediately see practical benefits in your workplace.

Go ahead and click the enroll button, and I’ll see you in lesson 1 of this Marketing Analytics course!

Cheers

Start-Tech Academy

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Introduction

Lecture 2: Course resources

Chapter 2: Part 1: Forecasting

Lecture 1: Basics of Forecasting

Lecture 2: This is a milestone!

Lecture 3: Creating Linear Model with Trendlines

Chapter 3: 1.1 Getting Data ready for Regression Model

Lecture 1: Gathering Business Knowledge

Lecture 2: Data Exploration

Lecture 3: The Data and the Data Dictionary

Lecture 4: Univariate analysis and EDD

Lecture 5: Descriptive Data Analytics or EDD in Excel

Lecture 6: Outlier Treatment

Lecture 7: Outlier treatment in Excel

Lecture 8: Missing Value Imputation

Lecture 9: Missing value imputation in Excel

Lecture 10: Variable Transformation in Excel

Lecture 11: Dummy variable creation: Handling qualitative data

Lecture 12: Dummy Variable Creation in Excel

Lecture 13: Correlation Analysis

Lecture 14: Creating Correlation Matrix in Excel

Chapter 4: 1.2 Forecasting using Regression Model

Lecture 1: The Problem Statement

Lecture 2: Regression model – Presentations

Lecture 3: Basic Equations and Ordinary Least Squares (OLS) method

Lecture 4: Assessing accuracy of predicted coefficients

Lecture 5: Assessing Model Accuracy: RSE and R squared

Lecture 6: Creating Simple Linear Regression model

Lecture 7: Multiple Linear Regression

Lecture 8: The F – statistic

Lecture 9: Interpreting results of Categorical variables

Lecture 10: Creating Multiple Linear Regression model

Chapter 5: 1.3 Handling Special events like Holiday sales

Lecture 1: Forecasting in presence of special events

Lecture 2: Excel: Running Linear Regression using Solver

Lecture 3: Excel: Including the impact of Special Events

Chapter 6: 1.4 Identifying Seasonality & Trend for Forecasting

Lecture 1: Models to identify Trend & Seasonality

Lecture 2: Excel: Additive model to identify Trend & Seasonality

Lecture 3: Excel: Multiplicative model to identify Trend & Seasonality

Chapter 7: Market Basket Analysis

Lecture 1: Market Basket and Lift – Introduction

Lecture 2: Named Ranges – Excel

Lecture 3: Indirect Function – Excel

Lecture 4: 2-way lift calculation in Excel

Lecture 5: 2-way lift calculation – Dynamic

Lecture 6: 2-way lift data table creation

Lecture 7: 3-way lift calculation

Lecture 8: Store Layout optimization using Lift values

Chapter 8: RFM (recency, frequency, monetary) Analysis

Lecture 1: RFM (recency, frequency, monetary) Analysis

Lecture 2: RFM Analysis in Excel- Part 1

Lecture 3: RFM Analysis in Excel- Part 2

Chapter 9: Part 2: Pricing

Lecture 1: Steps of setting a Pricing policy

Lecture 2: Different Pricing Objectives

Chapter 10: 2.1 Estimating Demand

Lecture 1: Estimating Demand

Lecture 2: Forms of Demand Curve

Lecture 3: Price Elasticity Examples

Lecture 4: Excel: Estimating Linear Demand Curve

Lecture 5: Excel: Estimating Power Demand curve with Elasticity

Lecture 6: Excel: Estimating Power Demand Curve with points

Lecture 7: Subjective Demand curve

Lecture 8: Excel: Estimating Subjective Demand Curve

Chapter 11: 2.3 Evaluating Pricing Strategies

Lecture 1: Price Bundling

Lecture 2: Types of Bundling

Lecture 3: The Bundling Problem

Lecture 4: Excel: Solving Bundling problem Part 1

Lecture 5: Excel: Solving Bundling problem Part 2

Lecture 6: Excel: Solving Bundling problem (Price Reversal)

Lecture 7: Non-Linear Pricing Strategies

Chapter 12: 3.1 Lifetime Customer Value

Lecture 1: Lifetime Customer Value – Key concepts

Lecture 2: Lifetime Customer Value – Excel model

Chapter 13: 3.2 Variations and Sensitivity Analysis

Lecture 1: Sensitivity Analysis in Excel

Lecture 2: Variations in finding customer value

Chapter 14: Appendix 1: Excel crash course

Lecture 1: Important Excel functions

Lecture 2: Popular Excel charts

Chapter 15: Congratulations & about your certificate

Lecture 1: The final milestone!

Lecture 2: About your certificate

Lecture 3: Bonus Lecture

Instructors

Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries

Rating Distribution

1 stars: 17 votes

2 stars: 23 votes

3 stars: 193 votes

4 stars: 551 votes

5 stars: 676 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!