AI Driven Market Analysis & Prediction

Name: AI Driven Market Analysis & Prediction
Rating: 4.2 (58 reviews)

Master Market Analysis, Customer Segmentation, and Predictive Analytics for Strategic Insights with AI

Created byProgramming Hub: 40 million+ global students, Charu Saraswat | Full Stack Developer

Last updated 10/2024

English

English [Auto],Korean [Auto],

What you'll learn

Conducting market analysis and applying advanced predictive analytics and data visualization techniques to analyze market trends and uncover consumer insights
Implementing effective customer segmentation strategies and utilizing machine learning models to segment your customer base accurately, enabling targeted market
Designing and conducting A/B tests to optimize marketing strategies, improve campaign performance, and maximize return on investment.
Develop predictive analytics models to forecast market trends, anticipate customer behavior, and identify emerging market opportunities.
Analyze customer behaviors and preferences using data-driven approaches to enhance product offerings and tailor marketing strategies effectively.
Optimize marketing efforts with a campaign forecasting plan and adjust your marketing campaigns based on accurate forecasts to achieve desired outcomes and impr

Course content

5 sections • 53 lectures • 3h 9m total length

Introduction to AI in Market Research1:42
This AI-driven market analysis and prediction course, co-taught by Siddhesh and Charu , offers a hands-on approach to understanding how AI tools can significantly enhance digital marketing strategies. Emphasizing the importance of market analysis in giving direction to marketers’ work, the course explores how generative AI and chatbots can improve predictions and provide outstanding results. With tips, tricks, and practical examples, the course aims to make this complex subject accessible and engaging. The introduction video is all about setting context and helping you move forward quickly
Planning and Market Research with AI5:47
Understanding AI's Role in Market Research14:00
Hands-On with AI Tools for Market Analysis11:00
Use IBM Watson Discovery to analyze markets by importing data from Sensor Tower, Euromonitor, App Annie, and comScore, refine queries with NLP, then visualize insights.
Identifying Market Opportunities with AI7:26

Understanding Customer Segmentation0:29
See how AI for customer segmentation becomes the most important part of market research, delivering speed, accuracy, and actionable insights.
AI Techniques for Customer Segmentation8:41
Explore AI-driven customer segmentation with clustering methods like k-means and hierarchical clustering, featuring Amazon, Netflix, and Starbucks case insights for practical, real-time targeting.
Workshop: Implementing AI-Driven Segmentation6:56

Introduction to Predictive Analytics3:11
Introduction to Predictive Analytics and AI Models2:58
Coca-Cola: Leveraging Predictive Analytics1:39
Amazon: Enhancing Campaigns with Predictive Models3:58
Netflix: Data-Driven Success Strategies5:19
Netflix uses neural networks to power a sophisticated recommendation system that combines genre, watch history, and location to tailor suggestions, boost engagement, and reduce churn, saving about $1 billion.
Regression Analysis & Decision Trees in Marketing4:01
Neural Networks for Customer Churn Prediction2:35
Netflix’s Recommendation Engine Explained3:37
Creating Personalized Promotions for Starbucks1:54
Question Time0:33
Workshop: Building Predictive Models1:13
Case Study: Boosting Starbucks Loyalty Programs1:03
Building Predictive Models: Step-by-Step Guide8:30
Upload and explore your data in Azure ML Studio, clean and select features, choose a decision tree classifier, and train, validate with metrics like accuracy, precision, recall, and F1.
Implementing Amazon’s Recommendation System1:06
Develop and Optimize Your Predictive Models2:46
Question Time0:50
Forecasting Campaign Outcomes1:20
FitGear Product Launch: Key Metrics to Forecast5:19
Dataset Overview and Environment Setup5:59
Advanced Modeling: Feature Engineering & Training3:02
Campaign Forecasting Case Studies3:35
Question Time0:53

AI in A/B Testing and Performance Analysis2:01
Objectives and Workflow of AI-Driven A/B Testing3:47
Leveraging AI for Continuous Improvement in A/B Testing3:11
Optimizely’s AI Capabilities for A/B Testing2:05
Airbnb’s AI-Integrated A/B Testing Strategies1:17
Practical Techniques for AI-Driven Continuous Improvement2:44
Benefits of AI in A/B Testing1:55
Case Study: Enhancing FitGear’s Email Campaigns with AI2:25
Hands-On Activity: Analyzing FitGear’s AI Insights2:22
How AI Enhances A/B Testing Effectiveness3:17
AI-driven A/B testing: automate data analysis to quickly identify winning variants, reveal patterns and correlations, and forecast future performance for informed optimization of campaigns.
AI vs. Traditional A/B Testing Methods1:23
Case Study: Booking.com’s AI-Driven Optimization1:21
Q&A Session: AI in A/B Testing1:54
Interpreting AI-Generated Insights & Developing a Marketing Plan2:41
Case Study: Optimizing FitGear’s Social Media Campaigns with AI2:33
Navigating the Google Analytics AI Insights Dashboard1:19
Translating AI Data into Actionable Marketing Strategies3:34
Identify top segments and optimize content with sentiment analysis to boost engagement and conversions, using AI insights to time posts and allocate channels within a data-driven workflow.
AI-Driven Interpretation of Marketing Insights0:46
Real-World Example: Netflix’s AI-Powered Personalization Strategy2:02
Real-World Example: Amazon’s AI-Based Customer Behavior Analysis2:08
Key Take Aways1:26

Requirements

Basic knowledge of data analytics and business operations.
Familiarity with spreadsheet tools (Excel, Google Sheets).
Interest in AI, machine learning, and market trends.

Description

Transform Your Market Strategies with Advanced Analytics Techniques

In today’s competitive landscape, leveraging advanced Market Analysis and Predictive Analytics is essential for making informed business decisions. This course is designed to equip you with the skills to make sense of relevant data for Customer Segmentation, Customer Insights, A/B Testing, and Campaign Forecasting.

What You Will Learn:

Market Analysis & Insights:
- Conduct in-depth Market Analysis to understand industry trends and what is working for competitors.
- Extract actionable Market Insights to guide strategic business decisions.
Customer Segmentation & Insights:
- Implement techniques for precise Customer Segmentation.
- Gain concise and deep Customer Insights to effectively tailor your marketing and sales strategies.
A/B Testing & Continuous Improvement:
- Design and execute effective A/B Testing experiments to optimize marketing campaigns.
- Utilize data-driven approaches for continuous improvement in campaign performance.
Predictive Analytics & Campaign Forecasting:
- Develop Predictive Analytics models to forecast market trends and customer behavior.
- Accurately predict campaign outcomes and optimize marketing efforts for maximum ROI.

Course Highlights:

Hands-On Workshops: Engage in practical workshops that allow you to apply advanced analytics techniques for Market Analysis and Customer Segmentation.
Real-World Case Studies: Learn from industry leaders like Amazon, Netflix, and Starbucks to see how Predictive Analytics and Campaign Forecasting are applied in real business scenarios.
Expert Instruction: Benefit from expert guidance on integrating advanced analytics into your business strategies and workflows.
Comprehensive Content: With over 50+ lectures and more than 3 hours of content, gain clarity on essential topics such as Customer Insights, A/B Testing, and Market Forecasting.

What You'll Gain:

Advanced Forecasting Skills: You will learn to predict market trends and customer behavior with precision.
Enhanced Customer Segmentation: Use sophisticated techniques to segment your customers effectively, enabling personalized marketing strategies.
Data-Driven Decision Making: Leverage Customer Insights and Market Insights to make informed, strategic business decisions.
Optimized Marketing Campaigns: Apply Predictive Analytics and A/B Testing to forecast and enhance the performance of your marketing campaigns.

Who This Course Is For:

Business Professionals and Managers: Gain actionable insights with advanced market analysis and customer segmentation techniques.
Entrepreneurs & Startup Founders: Leverage analytics to drive business growth and optimize marketing strategies.
Data Analysts & Enthusiasts: Explore the advanced applications of analytics in data analysis, Predictive Analytics, and Campaign Forecasting.

Why Choose This Course:

Comprehensive Coverage: From Market Analysis to A/B Testing, cover all critical aspects of data-driven marketing strategies.
Practical Application: Hands-on projects and real-world examples ensure you can apply what you learn immediately.

Expert-Led Instruction: Learn from instructors with extensive experience in market analytics and strategic decision-making.

Who this course is for:

Business Professionals and Managers: Gain market insights with AI-driven solutions.
Entrepreneurs & Startup Founders: Leverage AI for business growth and operations.
Data Analysts & Enthusiasts: Explore the power of AI in data analytics.

AI Driven Market Analysis & Prediction

What you'll learn

Explore related topics

Course content

Planning and Market Research with AI5 lectures • 40min

Audience Segmentation and Targeting using AI3 lectures • 16min

Content Creation and Optimization with AI2 lectures • 22min

Predictive Analytics for Campaign Performance22 lectures • 1hr 5min

Continuous Improvement and A/B Testing with AI21 lectures • 46min

Requirements

Description

Who this course is for: