AI in Marketing

Course overview

This training includes AI in marketing as a computational and forecasting aid: customer segmentation, predictive analytics for purchase probabilities, and dynamic pricing. Your competencies Understand AI methods in marketing for segmentation and forecasting Read and assess the robustness of purchase probability forecasts Evaluate dynamic pricing as an application case and identify its limitations Translate model results into understandable language using ChatGPT and Claude Customer Segmentation with AI Segments derived from purchase, click, and behavioral data Characteristics, size, and development of individual segments Segmentation as the basis for campaign planning Predictive Analytics and Dynamic Pricing Purchase probabilities and forecasting models Dynamic pricing: adjustment to demand and competition Significance and uncertainty of predictions Application in Professional Life Prepare segment descriptions for campaign planning Incorporate forecasts into decisions regarding actions and product range Document the impact of AI in marketing in regular evaluations Professional Fields of Application Marketing planning at consumer goods and brand manufacturers Data-driven departments using AI in marketing The text work with a single language model from research to fact-checking, on the other hand, addresses the offering "AI in Marketing with ChatGPT", programmatic advertising, smart bidding, GEO, and marketing automation under the offering "Artificial Intelligence (AI) in Marketing".

Upcoming dates

• 2026-10-29T23:00:00.000Z · 2027-01-08T23:00:00.000Z · Aachen · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Zwickau · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-01-08T23:00:00.000Z · Zwickau · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Zweibrücken, Pfalz · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-01-08T23:00:00.000Z · Zweibrücken, Pfalz · Combined Learning