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Predictive Analytics for Marketing Course

Predictive Analytics for Marketing Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Predictive Analytics for Marketing Course equips you with practical skills to transform data into high-performing campaigns quickly. You will learn to set clear business goals, prepare and analyse customer data, develop and assess predictive models, and apply scores to improve targeting, testing, and budget choices. Engage with actual datasets, track results, and establish repeatable workflows focused on return on investment.

Elevify advantages

Develop skills

  • Campaign objective design: convert marketing aims into precise predictive goals.
  • Customer data prep: clean, enhance, and create RFM and behavioural features swiftly.
  • Predictive model selection: choose, adjust, and assess models for marketing uplift.
  • Targeting and budget optimization: group, rank, and distribute spending based on scores.
  • Experimentation and monitoring: conduct A/B tests and follow drift, ROI, and lift.

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... I appreciate everything you do, and 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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