My Learning
Cart
Sign In
Categories
School
Biology (School & UG)
Chemistry (School & UG)
English (School)
Mathematics (School)
Physics (School & Undergraduate)
Show All School
College
Commerce & Accountancy
Languages & Literature
Law & Legal Studies
Medical Science
Technical
Show All College
Degree
Civil Engineering
Computer Science & IT
Electrical & Electronics Engineering
Mechanical Engineering
Show All Degree
Competitve
Current Affairs & GK
General Aptitude
General Knowledge
General Knowledge & Current Affairs
Major Competitive Exams
Show All Competitve
Skills
Data Structures & Algorithms
Vocational & Skill Development
Show All Skills
What is a potential application of supervised learning in marketing?
Practice Questions
Q1
What is a potential application of supervised learning in marketing?
Customer segmentation
Predicting customer purchase behavior
Market basket analysis
Topic modeling
Questions & Step-by-Step Solutions
What is a potential application of supervised learning in marketing?
Steps
Concepts
Step 1: Understand what supervised learning is. It is a type of machine learning where a model is trained on labeled data.
Step 2: Identify the goal of using supervised learning in marketing. One goal is to predict how likely customers are to buy a product.
Step 3: Collect data on past customer purchases. This data should include information like customer demographics and previous buying behavior.
Step 4: Use this data to train a supervised learning model. The model learns patterns from the data to make predictions.
Step 5: Apply the trained model to new customer data to predict their purchase behavior.
Step 6: Use these predictions to tailor marketing strategies, such as targeted ads or personalized offers.
No concepts available.
‹
School
College
Degree
Competitve
Skills
›
Soulshift Feedback
×
On a scale of 0–10, how likely are you to recommend
The Soulshift Academy
?
0
1
2
3
4
5
6
7
8
9
10
Not likely
Very likely
✕
↑