Machine Learning in Marketing Course
This course provides practical skills in applying machine learning to marketing, focusing on data preparation, key models, and integrating insights into campaigns for measurable business impact.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Machine Learning in Marketing Course teaches you how to link KPIs to real business results, make sense of benchmarks, and transform data into focused actions. You'll learn to ready and assess data, grasp important models such as propensity, segmentation, and recommendations, and weave ML insights into campaigns using straightforward testing strategies, risk management, and trackable revenue effects in a short, hands-on style.
Elevify advantages
Develop skills
- ML-powered segmentation: quickly create valuable customer groups in fashion.
- Propensity modelling: apply churn and purchase scores to launch clever campaigns.
- Data-ready marketing: check CRM and channel data to ensure it's fit for ML.
- KPI-driven testing: set up A/B and uplift tests to show ML's revenue effect.
- Workflow integration: fit ML scores into email, ads, and onsite customisation.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your lessons are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, and I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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