TOP 4 Application of Machine Learning (AI) for Marketing and Growth in 2022

Top 4 Application of Machine Learning (AI) for Marketing and Growth in 2022

Machine Learning is often used to help humans make decisions faster or automate part of the business.

These are the most adopted machine learning for marketing algorithms:

Classifiers: Mostly used in B2B Marketing to predict the probability of converting a certain lead in your CRM.

It helps Marketers focus their energies on the leads that will convert.

This Activity is called Lead Scoring

Clustering: Used to identify patterns between your clients and create groups.

These clusters are often used for creating customer segments to target through email or SMS.

NLP (Natural language processing): Used for analyzing sentiment and keywords used by your target market.

It’s often used to find the keywords to use on the copy and scrape what is the overall sentiment on what people say about us on social

Regressors: Used to predict number of sales based on a set of factors.

Used mostly for Marketing Mix Modeling to find the optimal budget distribution across media channels

Structure of the episode:
0:00 Intro
2:50 What is Machine Learning
5:20 4 Application of Machine Learning to Marketing
10:41 Lead Scoring Using AI Libraries
17:40 Clustering using AI Libraries
23:26 NLP for Sentiment and Keyword Analysis
25:10 Regression and Marketing Mix Modeling
40:50 End Notes

Useful Resources:
Template Marketing Mix Modeling EXCEL: https://bit.ly/excelmmm
Scikit-Learn: https://scikit-learn.org/stable/index...

If you want to reach out:
Marketing Mix Modeling Service: https://bit.ly/3vcopZA
Linkedin: https://bit.ly/3p9rkON