The document discusses the role of machine learning (ML) in marketing, highlighting its applications such as customer segmentation, predictive analytics, and ad targeting, which enhance business strategies. It outlines the advantages of ML, including improved performance and personalization, while also addressing disadvantages like privacy concerns and the high costs involved. Overall, it presents ML as a powerful tool for making data-driven marketing decisions.

1. MACHINE LEARNING
FOR MARKETING
PRESENTED BY:
SUMAN KUMARI
ROLL NO. 48
MBA : 2 (B)
(MARKETING)
ID: 22262024
SUBMITTED TO:
DR. MAITRI

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Table of
Contents
INTRODUCTION
PROCESS
TYPES
APPLICATION IN
MARKETING
EFFECTIVE BUSINESS
STRATEGIES
ADVANTAGES &
DISADVANTAGES
WAYS TO USE ML IN
MARKETING
REFERENCES

3. WHAT IS MACHINE
LEARNING?
Machine learning is a branch of
artificial intelligence that deals
with predictive modelling and
analysis based on historical data.

4. Process of Machine Learning

6. Market leaders have been using
data and machine learning to
improve their sales for years. This is
done by understanding the
customer base and making data-
driven decisions. Machine learning
has several uses in marketing
APPLICATIONS
IN
MARKETING

8. How machine
learning is
making business
strategies more
effective:
Deriving An Enhanced Performance
Adding Value To Marketing Campaigns
Formulating Personalized Offers &
Recommendations
Better Optimization Of Ad Campaigns

9. Wide Range of Applicability
Enhanced Experience
Automation
Advantages
Scope of Improvement

10. Disadvantages
Elimination of Human Interface
Privacy Concern
Results Interpretation
Time and Resources
Changing Nature of Jobs
HIghly Expensive

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Predictive Analytics
Customer
Segmentation
Content Optimization
Sales Forecasting
Social Media
Advertising
Customer Lifetime
Value Prediction
Ad Targeting
Fraud Detection
Ways to Use
Machine
Learning for
Marketing

13. https://youtu.be/VvTYuQPINec

14. https://www.forbes.com/sites/theyec/2022/11/08/introduction-to-machine-
learning-for-marketing/?sh=2ed9b2fc17b0
https://www2.deloitte.com/us/en/insights/topics/analytics/automated-machine-
learning-predictive-insights.html
https://builtin.com/artificial-intelligence/machine-learning-marketing
https://www.owox.com/blog/articles/machine-learning-in-marketing/
https://www.analyticsvidhya.com/blog/2023/03/machine-learning-for-marketing/
https://www.mckinsey.com/capabilities/operations/our-insights/operationalizing-
machine-learning-in-processes
References