CRM-Analysis-for-Marketing-data and Marketing-Campaign-Machine-Learning

Maintenance 6/25
Adoption 5/25
Maturity 8/25
Community 16/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 8/25
Stars: 13
Forks: 6
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 8
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No License No Package No Dependents
Stale 6m No Package No Dependents

About CRM-Analysis-for-Marketing-data

adiag321/CRM-Analysis-for-Marketing-data

In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign

This project helps marketing professionals boost the effectiveness and profitability of their campaigns. By analyzing customer data like demographics, purchase history, and engagement, it groups customers into distinct segments and predicts their future behavior. The output includes tailored customer segments and predictions of who is most likely to respond to a campaign or become a highly valuable customer.

marketing-campaigns customer-segmentation customer-lifetime-value predictive-marketing customer-retention

About Marketing-Campaign-Machine-Learning

miraytopal/Marketing-Campaign-Machine-Learning

A Predictive Model for Marketing Campaigns

This project helps marketing managers and campaign strategists identify which customers are most likely to engage with their next marketing campaign. By analyzing your past customer data, it predicts future participation, allowing you to focus your outreach efforts more effectively. It takes historical customer interaction and demographic data and outputs a prediction of who will participate in future campaigns.

marketing-campaigns customer-segmentation predictive-marketing target-audience-identification campaign-optimization

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