Marketing Data Analysis Using AI: Analyze Marketing Data with ChatGPT, Claude & Python

Learn how to use AI and Python to analyze marketing data from spreadsheets and uncover customer behavior, campaign performance, sales trends, and actionable business insights—without needing prior coding experience.

Course Overview

Marketing teams collect enormous amounts of customer and campaign data every day. The challenge is turning that data into meaningful insights that drive better business decisions.

This practical webinar is designed specifically for marketers, marketing analysts, business professionals, and anyone with little or no coding experience.

You’ll learn, step by step, how to use AI tools such as ChatGPT and Claude, together with Python, to clean, analyze, visualize, and interpret marketing data. By the end of the session, you’ll have a practical framework that you can apply to virtually any marketing dataset.

Marketing decisions are only as good as the data behind them. Whether you’re analyzing customer purchases, campaign performance, product demand, or seasonal buying patterns, AI can dramatically simplify the entire analysis process.

In this hands-on webinar, you’ll learn how to perform an end-to-end marketing data analysis using a large real-world dataset containing more than 1.5 million records.

Rather than spending hours writing complex code, you’ll discover how AI tools like ChatGPT and Claude can generate Python code for you, allowing you to focus on interpreting results instead of learning programming syntax.

During the webinar, we’ll guide you through every stage of the analytical process—from importing raw data to producing professional visualizations and business recommendations.

By the end of the session, you’ll understand how to use AI to automate repetitive data analysis tasks, identify meaningful patterns, and generate insights that support smarter marketing decisions.

Case Study Covered in the Webinar

A nationwide retail chain wants to better understand its customers and identify seasonal purchasing trends to improve business performance.

As the data analyst, your objective is to analyze historical transaction data and answer important business questions, including:

• Which customer segments generate the highest revenue?
• Which products perform best during different seasons?
• Which promotional campaigns deliver the highest return?
• What purchasing patterns can help improve future marketing strategies?
• How do customer buying behaviors change throughout the year?

Using a real retail dataset, you’ll perform a comprehensive analysis to uncover actionable business insights.

Learning Objectives

By the end of this 90-minute webinar, you will be able to:

• Use AI tools such as ChatGPT and Claude to generate Python code for marketing data analysis
• Understand the role of Python in modern marketing analytics
• Import large datasets into Google Colab for analysis
• Clean, standardize, and prepare marketing data for AI-driven analysis
• Perform exploratory data analysis (EDA) to identify trends and customer behaviors
• Calculate key marketing metrics such as:
  • Customer counts
  • Product popularity
  • Average transaction value
  • Campaign performance
  • Revenue by customer segment
  • Seasonal sales trends
• Create professional visualizations including:
  • Bar charts
  • Line charts
  • Scatter plots
  • Heat maps
  • Distribution plots
• Interpret analytical results and convert them into actionable business recommendations

Areas Covered

During this webinar, we will cover:

• Introduction to AI-powered marketing analytics
• Developing a structured approach to marketing data analysis
• Uploading datasets into Google Colab
• Exploring and understanding large datasets
• Cleaning and standardizing marketing data
• Working with Pandas for data manipulation
• Using AI to generate Python code
• Performing exploratory data analysis (EDA)
• Identifying trends, patterns, anomalies, and seasonal effects
• Measuring customer behavior and campaign effectiveness
• Creating charts and visualizations with Matplotlib
• Summarizing results and communicating insights effectively

Why attend?

After completing this webinar, you’ll have a practical, repeatable workflow for analyzing marketing data using AI. Instead of relying on manual spreadsheet analysis or advanced programming skills, you’ll learn how to leverage AI to accelerate your work, improve reporting accuracy, and uncover insights that help drive smarter marketing decisions.

Whether you’re evaluating campaign performance, understanding customer behavior, or presenting data-driven recommendations to stakeholders, the techniques covered in this session can be applied immediately to your own marketing data.

Who should attend?

This webinar is ideal for:

• Marketing Professionals
• Marketing Analysts
• Digital Marketing Specialists
• CRM Professionals
• Business Analysts
• Sales Analysts
• Product Managers
• Data Analysts
• Marketing Managers
• Small Business Owners
• Anyone interested in using AI for marketing analytics

About the Instructor

Reuben Bernard

is an alumnus of the Indian Institute of Management, Bangalore. He has nearly two decades of experience in B2B digital marketing, product marketing, event marketing, developing and implementing GTM strategies, hiring and building world-class teams, new business ideation, and driving businesses to meet and exceed revenue and profitability targets.

Over the past 18 months, he has been a power user of AI tools. He has shared his knowledge and experience with hundreds of working professionals and small business owners through hands-on sessions; both webinars and in-person seminars. These sessions have immensely helped participants increase their productivity through the use of AI tools.

His experience includes working at lead tech companies including startups, mid-size, and Fortune 1000 companies. A considerable portion of his work experience had been at US-based companies with businesses catering to the North American markets. He also serves as an Adjunct Professor, teaching Business Strategy, Marketing, and Entrepreneurship, and a Member of the Board of Studies, at the Pondicherry Technological University, India.

View his LinkedIn profile here.

Refund policy

Attendees may cancel anytime before the webinar, and the refund will be processed within two working days of receiving the cancellation request. Requests for refunds should be sent to care@thecomplyguide.com

We will process/provide a full refund if the webinar is canceled. Webinars may be canceled due to a lack of enrollment or other unavoidable factors. Attendees will be notified 24 hours in advance if a cancellation occurs.

Participants who register but are unable to attend the webinar will also be provided a refund. On-demand recordings can be requested in exchange.

Attendees who are not satisfied with the webinar content or quality can request a refund within 24 hours of the completion of the webinar. Refunds will be processed within 48 hours; no questions will be asked.

If you have any questions, please get in touch with us at care@thecomplyguide.com

Alternatively, you can register here.