We are thrilled to invite you to a webinar led by Viktor Ganchev, CEO of WedoAutomotive.marketing, an award-winning marketing strategist, and one of the most recognized experts in automotive business transformation across the CIS, Europe, and the United States. With more than 15 years of experience in the automotive and marketing sectors, Viktor has built a proven reputation for helping dealerships, service centers, and automotive brands achieve measurable growth through data analytics, automation, and AI-driven customer engagement systems.

As the author of a proprietary methodology for scaling automotive businesses, Viktor combines strategic vision with operational precision, enabling companies to transform marketing insights into long-term profitability. His leadership and innovation were recognized with the “Pride of the Profession” national award (Ukraine, 2022). Viktor is also an active member and lecturer at the TOP Marketing Club and the Ukrainian Marketing Association (UMA), where he mentors marketing professionals and business owners on data-driven growth strategies. His expertise has been featured in top Ukrainian media, including Focus.ua and Obozrevatel.com.

Webinar Program: “Loyalty Programs & Customer Retention through Data and AI”

1) Introduction

Customer loyalty is no longer about points and discounts — it’s about prediction and personalization. This webinar explores how data-driven automation and artificial intelligence help businesses anticipate customer needs, build retention strategies, and create long-term brand loyalty. Participants will learn how analytical and predictive tools transform scattered customer data into clear, actionable retention models.

2) Customer Base Analytics: Segmentation, Churn Prediction, Personal Offers

We begin by structuring customer databases using segmentation and cohort analysis. Participants will see how AI models identify at-risk customers before they churn and how predictive scoring supports proactive engagement. Examples will show how personalized offers and dynamic incentives can extend customer lifetime value (LTV) and optimize marketing ROI.

3) Predictive AI in After-Sales Service

How can AI know when a client is ready for a car inspection, tire replacement, or product refill? We’ll explore use cases from the automotive and service sectors, where machine learning forecasts service demand based on historical behavior, mileage patterns, and seasonal factors. Attendees will discover how timely, automated interventions create a seamless “next best action” experience.

4) Automation of Reminders and Communication

Retention is built through consistent, relevant contact. This block focuses on omnichannel automation — integrating CRM, email, SMS, and messengers to create unified communication flows. Case studies will show how automated reminders and personalized service notifications increase repeat visits, prevent churn, and raise satisfaction levels without overwhelming customers.

5) Retention Metrics and Data-Driven Improvement

Key retention metrics: repeat rate, churn rate, LTV, and reactivation rate. Participants will learn how to track these KPIs, build simple dashboards, and interpret trends. The session will also explain how data science helps improve them through testing, attribution analysis, and AI-powered insights.

6) Q&A and Discussion