Course : Predictive Marketing with AI: Implementing Your Strategy

Practical course - 2d - 14h00 - Ref. MRP
Price : 1360 € E.T.

Predictive Marketing with AI: Implementing Your Strategy



New course

In the age of artificial intelligence and the explosion of data, companies must adapt their marketing approaches to anticipate consumer behavior, better target their efforts, and optimize their performance. This training course offers a strategic and operational approach, enabling participants to effectively integrate predictive marketing into their practices, in both B2B and B2C contexts. Through role-playing exercises and workshops, participants learn how to structure their data-driven approach, design relevant campaigns, and manage their performance with a focus on continuous improvement.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. MRP
  2d - 14h00
1360 € E.T.




In the age of artificial intelligence and the explosion of data, companies must adapt their marketing approaches to anticipate consumer behavior, better target their efforts, and optimize their performance. This training course offers a strategic and operational approach, enabling participants to effectively integrate predictive marketing into their practices, in both B2B and B2C contexts. Through role-playing exercises and workshops, participants learn how to structure their data-driven approach, design relevant campaigns, and manage their performance with a focus on continuous improvement.


Teaching objectives
At the end of the training, the participant will be able to:
Understanding the principles of predictive marketing and the role of AI in anticipating behavior
Identify and define the key data to be used
Develop a segmentation and scoring framework tailored to business objectives
Design data-driven, personalized marketing campaigns
Manage and optimize marketing performance with a focus on continuous improvement

Intended audience
Marketing Managers, CRM Managers, Acquisition Managers, E-commerce Managers, Digital Project Managers

Prerequisites
Basic knowledge of digital marketing

Practical details
Please enter the instructional description here
Teaching methods
Group discussions, hands-on exercises; Numerous practical exercises to apply theoretical and metrological concepts; Toolkit:

Course schedule

1
Understanding the Fundamentals of Predictive Marketing and AI

    Compétences visées

  • Define predictive marketing and its strategic implications.
  • Identify the differences in approach between B2B and B2C.
  • Understanding the role of AI in predicting behavior.
  • Position predictive marketing within the overall strategy.

    Activités pédagogiques

  • Identify and prioritize predictive marketing opportunities by selecting high-impact use cases (acquisition, retention, churn)

    Outils et méthodes

  • Mapping Customer Journeys

2
Structuring and Ensuring the Reliability of Your Data Marketing Strategy

    Compétences visées

  • Identify key data sources.
  • Understanding the challenges of quality and reliability.
  • Structure a usable database.
  • Incorporate GDPR regulatory requirements into the data strategy.

    Activités pédagogiques

  • Map existing data to identify areas for improvement and define a data-driven vision aligned with marketing objectives

    Outils et méthodes

  • Best Practices in Governance

3
Developing a framework for segmentation and predictive scoring

    Compétences visées

  • Understanding the logic behind segmentation and scoring.
  • Identify the key variables.
  • Develop a proactive approach.
  • Design data-driven marketing campaigns.
  • Tailor messages and customer journeys (B2B / B2C).

    Activités pédagogiques

  • Define the behaviors to anticipate, identify key variables, and develop a predictive segmentation model tailored to business objectives.

    Outils et méthodes

  • Scoring Logic
  • Segmentation Methods
  • Analytical Marketing Approach

4
Manage, Measure, and Optimize Marketing Performance

    Compétences visées

  • Define KPIs aligned with strategic objectives.
  • Implement data-driven management.
  • Implement a test-and-learn approach.
  • Continuously adjust campaigns.

    Activités pédagogiques

  • Develop a data-driven marketing strategy by selecting the appropriate channels and messages and defining the methods for managing and optimizing the strategy

    Outils et méthodes

  • Marketing Scripting



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 26 Nov.

2027 : 11 Jan., 10 May, 24 June, 2 Sep., 7 Oct., 9 Dec.

PARIS LA DÉFENSE
2026 : 1 Dec.

2027 : 11 Jan., 10 May, 24 June, 2 Sep., 7 Oct., 9 Dec.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.