R for Marketing Analytics
Welcome
Preface
1
What is Marketing?
2
Tools at your Disposal
2.1
Data
2.2
Software
2.3
Getting Started with R
3
Data Visualizations
3.1
Creating a Canvas
3.2
Adding Layers of Geoms
3.3
Adding Labels, Axes, and Legends
3.4
Faceting Data by Group
3.5
Chart Types
3.6
Advanced Plotting
4
Preparing and Transforming Data
4.1
Data Pipelines
4.2
Selecting
4.3
Mutating
4.4
Mutating within Groups
4.5
Summarizing
4.6
Spread and Gather
4.7
Functions
4.8
Putting it all together
5
Data Structures
5.1
Tidy Data
5.2
Relational Data
5.3
Joins
6
Measures in Marketing
6.1
Net Promoter Score
6.2
Customer Lifetime Value
6.3
Customer Satisfaction/Customer Delight
6.4
Others? Consult AMA dictionary for more?
7
Conducting Marketing Field Experiment
8
Understanding Marketing Mix
9
Pricing and Merchandising
10
Machine Learning in Marketing
11
Moving from Data to Action
Published with bookdown
R for Marketing Analytics
9
Pricing and Merchandising
THINGS PROVIDED BELOW THIS LINE ARE FOR EXAMPLE ONLY. NOT REAL CONTENT
We have finished a nice book.