Table of Contents
Best Marketing Analytics Courses 2023
Best Marketing Analytics Tutorials 2023
Marketing Analytics: Pricing Strategies and Price Analytics
Looking for a comprehensive course on pricing strategies and price analysis that maximize your business’s revenue / profits, right?
You’ve found the right course in Marketing Analysis: Pricing Strategies! This course teaches you everything you need to know about the different pricing strategies and how to implement them using profit maximizing pricing.
After completing this course, you will be able to:
Implement pricing strategies like simple linear pricing, price bundling, quantity discount offer, price skimming, two-part pricing and many more
Increase your business revenue / profit by implementing a revenue / profit maximizing price point using Excel solver add-in
Practice, discuss and understand with confidence the different pricing strategies used by organizations
How will this course help you?
A verifiable certificate of completion is presented to all students who take this Marketing Analysis: Pricing Strategies and Price Analysis course.
If you are a business owner or executive, or a student who wants to learn and apply pricing strategies in real business issues, this course will give you a solid foundation for that by teaching you the most popular pricing strategies and how to implement them. he.
Why should you choose this course?
We believe in teaching by example. This course is no exception. The main objective of each section is to teach you the concepts through practical examples. Each section includes the following:
Theoretical concepts and use cases for each pricing strategy
Step by step instructions on how to arrive at price points that maximize revenue / profit in Excel
Downloadable Excel file containing data and solutions used in each conference
Class notes and homework to review and practice concepts
The hands-on courses where we model each of these strategies is something that sets this course apart from any other course available online.
At each conference, lecture notes are attached for you to follow. You can also take quizzes to check your understanding of the concepts. Each section contains a practical task for you to implement your learning in a practical way.
What is covered in this course?
Understanding the impact of pricing on revenue and profitability is one of the most important issues managers face. In this course, we will explore how to use analytics to determine which pricing strategy to use, which helps achieve business goals.
Let me give you a brief overview of the course
Section 1 – Introduction
In this section, we’ll learn more about the course structure and the steps involved in developing a pricing strategy.
Section 2 – Step 1: Defining a pricing target
In this section, we’ll discuss the different pricing goals that a company
Section 3 – Step 2: Estimate of demand
In this section we will learn different types of demand curves We will also learn how to estimate demand curves quickly using Excel
Section 4 – Step 3: Cost Estimation
Cost curves play an important role in profit maximization problems. In this section, we will learn how to estimate the cost functions. we will also learn the effect of complementary products
Section 5 – Step 4: Competitor Analysis
In this section, we will learn how to analyze competitor strategy and its effect on our pricing strategy.
Section 6 – Step 5: Evaluate Pricing Strategies
Once we have the demand and the cost, we can estimate revenue and profit at different price points and using different pricing strategies. In the section, we will discuss many pricing strategies like simple linear pricing, price bundling, granting quantity discounts, price skimming, applying two-part tariffs and many more. These are all pricing strategies that businesses actually use. We will see what is the thinking and analysis behind the decision to choose a particular strategy.
You will learn:
Learn practical concepts on how to achieve an optimized price point for revenue / profit in bundles, quantity discounts, two-part pricing, price skimming, and revenue management)
Learn how to adapt the two most frequently used demand curves (linear and power) to a particular marketing situation
Find out why cable companies are bundling landlines, cell phone services, television services and Internet services (bundling)
Find out why companies give a quantity discount and how they decide on the quantity discount (quantity discounts)
Find out why your golf club charges a membership fee as well as a per round fee (two round rate)
Find out why the prices of high-tech products usually drop over time (Price Skimming)
Find out why airlines are overbooking their planes (Revenue Management)
Strong understanding of basic marketing and pricing concepts
Become proficient in using powerful tools like Excel solver, Excel target finder and trend lines to solve price optimization problems in order to achieve maximum revenue / profit
Marketing Analytics: Forecasting Models with Excel
You are looking for a comprehensive course in understanding forecasting models for making business decisions involving production schedules, inventory management, workforce planning, and many other aspects of the business.
You’ve found the right marketing analysis: forecasting models with Excel! This course teaches you everything you need to know about the different forecasting models and how to implement these models in Excel using the advanced Excel tool.
After completing this course, you will be able to:
Implement forecasting models like simple linear regression, simple multiple regression, ratio to moving average, Winter’s method for exponential smoothing with trend and seasonality, the famous Bass diffusion model and many more .
Increase your business revenue / profit by implementing accurate forecasting using Excel solver add-on
Practice, discuss and understand with confidence the different forecasting models used by organizations
How will this course help you?
A verifiable certificate of completion is presented to all students who undertake this Marketing Analysis: Forecasting Models with Excel course.
If you are a business owner or executive, or a student who wants to learn and apply forecasting models in real business problems, this course will give you a solid foundation by teaching you the most popular forecasting models and how to use them. enforce.
Why should you choose this course?
We believe in teaching by example. This course is no exception. The main objective of each section is to teach you the concepts through practical examples. Each section includes the following:
Theoretical concepts and use cases of different forecasting models
Step by step instructions on implementing forecast models in Excel
Downloadable Excel file containing data and solutions used in each conference
Class notes and homework to review and practice concepts
The hands-on courses where we model each of these strategies is something that sets this course apart from any other course available online.
Our promise
Teaching our students is our job and we are committed to it. If you have questions about the course content, practice sheet, or any other topic related to any topic, you can always post a question in the course or send us a direct message.
Download training files, answer quizzes and complete homework
At each conference, lecture notes are attached for you to follow. You can also take quizzes to check your understanding of the concepts. Each section contains a practical task for you to implement your learning in a practical way.
What is covered in this course?
Understanding how future sales will change is one of the key information a manager needs to make data-driven decisions. In this course, we will explore how to use forecast models to
View models in time series data
Make predictions based on models
Let me give you a brief overview of the course
Section 1 – Introduction
In this section we will learn about the structure of the course
Section 2 – Basics of forecasting
In this section, we will discuss the basics of forecasting and also learn the easiest way to create a simple linear regression model in Excel.
Section 3 – Preparing Data for the 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 analysis. These steps are very important.
We start by understanding the importance of business knowledge and then we will see how to explore it.
We learn how to do univariate analysis and bivariate analysis, and then we get to topics like dealing with outliers and imputing missing values.
Section 4 – Forecasting Using the Regression Model
This section starts with simple linear regression and then covers multiple linear regression, we’ve covered the basic theory of each concept without getting too mathematical about it so that you understand where the concept came from and why it matters. But even if you don’t understand it, you’ll be fine as long as you learn how to perform and interpret the result as taught in the hands-on lessons.
We also look at how to quantify the precision of the models, what is the significance of the F statistic, how the categorical variables from the independent variable dataset are interpreted in the results.
Section 5 – Management of special events such as holiday sales
In this section, we will learn how to incorporate the effects of the day of the week effect, the month effect, or any special event like vacation, payday, etc.
Section 6 – Identify Seasonality and 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 and easily see sales trends.
Section 7 – Managing Changing Trend and Seasonality Over Time
In this section, we will learn about Winter’s method which modifies the trend, and the estimates of the seasonal index in each period are more likely to follow the changes than other methods.
Section 8 – Forecast models for new products
In this section, we will learn techniques for forecasting sales of new products. It is difficult to predict when we have little or no historical data. The S curve can be used when we have little data and the famous bass diffusion model can be used to predict product sales even before the product hits the market.
Marketing Analytics: Customer Value and Promotion Strategy
You are looking for a comprehensive course that will teach you how to calculate customer value to make business decisions regarding product pricing, acquisition costs, marketing costs, and many other parts of the business.
You’ve found the right Client Assessment Course for Entrepreneurs and Marketers! This course teaches you everything you need to know about the different methods to find customer lifetime value and how to find it in Excel using the advanced Excel tool.
After completing this course, you will be able to:
Understand the value of your customers to make smart decisions about how to spend money to acquire them
Learn how to measure customer value based on the concept of customer value
Use Monte-Carlo simulation to incorporate uncertainty into customer value models
Practice, discuss and understand with confidence the customer value models used by organizations
How will this course help you?
A verifiable certificate of completion is presented to all students who take this Client Assessment Course for Entrepreneurs and Marketers.
If you are a business owner or executive, or a student who wants to learn, calculate, and apply customer value in real business problems, this course will give you a solid foundation for that by teaching you the most effective customer value models. popular. and how to implement it.
Why should you choose this course?
We believe in teaching by example. This course is no exception. The main objective of each section is to teach you the concepts through practical examples. Each section includes the following:
Theoretical concepts and use cases of different customer value models
Step by step instructions on how to implement such models in Excel
Downloadable Excel file containing data and solutions used in each conference
Class notes and homework to review and practice concepts
The hands-on courses where we create the model is something that sets this course apart from any other course available online.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers of Global Analytics Consulting, we have helped companies solve their business problems using Analytics and used our experience to include the practical aspects of marketing and data analytics into this. Classes.
We’re also the creators of some of the most popular online courses – with over 170,000 registrations and thousands of 5-star reviews like these:
This is great, I like the fact that all explanations 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 questions about the course content, practice sheet, or any other topic related to any topic, you can always post a question in the course or send us a direct message.
Download training files, answer quizzes and complete homework
At each conference, lecture notes are attached for you to follow. You can also take quizzes to check your understanding of the concepts. Each section contains a practical task for you to implement your learning in a practical way.
What is covered in this course?
Understand the value of your customers to make smart decisions about how to spend money to acquire them. In this course, we’ll explore how to use Excel to find customer value at
Find Lifetime Customer Value
Make a data-driven decision to decide on acquisition cost, retention efforts, etc.
Let me give you a brief overview of the course
Section 1 – Introduction
In this section we will learn about the structure of the course
Section 2 – Customer lifetime value
In this section, we will cover the basic concepts of Customer Lifetime Value.
Section 3 – Variations and sensitivity analysis
In this section, you will learn how to create an Excel template to find customer lifetime value and perform sensitivity analysis to capture changes in lifetime value under different scenarios.
Section 4 – Monte Carlo simulation
This section teaches us the basics and use cases of Monte Carlo simulation. We will also use Monte Carlo simulation to find customer value in uncertain scenarios.