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Machine Learning in Marketing Course

Machine Learning in Marketing Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This Machine Learning in Marketing Course teaches you how to link KPIs to actual business results, make sense of benchmarks, and transform data into focused strategies. You'll learn to ready and assess data, grasp essential models such as propensity, segmentation, and recommendations, and weave ML insights into campaigns using straightforward testing approaches, risk management, and quantifiable revenue effects in a concise, hands-on style.

Elevify advantages

Develop skills

  • ML-powered segmentation: quickly create valuable customer groups in fashion.
  • Propensity modelling: apply churn and purchase predictions to launch clever campaigns.
  • Data-prepared marketing: check CRM and channel data to ensure it's suitable for ML.
  • KPI-led testing: plan A/B and uplift experiments to demonstrate ML's revenue effects.
  • Workflow integration: incorporate ML predictions into emails, adverts, and website 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 workload.
Workload: between 4 and 360 hours

What 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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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