The numbers don't lie. Learn how to REALLY use data to execute elite, effective marketing.

Here's what you're in for:

Module 1: Introduction to Data-Driven Marketing

1. The importance of data in modern marketing
2. Benefits of data-driven marketing (better targeting, optimized campaigns, higher ROI)
3. Types of data used in marketing (customer data, market data, campaign data)
4. The data-driven marketing process (collect, analyze, apply, measure)
5. Real-world examples of successful data-driven marketing

Data-Driven Marketing Maturity Scorecard

Module 2: Collecting and Managing Data

1. Data sources for marketing (web analytics, CRM, social media, surveys)
2. Data collection methods and best practices
3. Data quality and cleansing (accuracy, consistency, completeness)
4. Data storage and management (databases, data warehouses, data lakes)
5. Data privacy and security considerations

Building a Predictive Model for Customer Churn

Module 3: Analyzing Marketing Data

1. Types of marketing data analysis (descriptive, diagnostic, predictive, prescriptive)
2. Marketing metrics and KPIs (ROI, CLV, CAC, engagement rates)
3. Data visualization and reporting best practices
4. Segmentation and targeting based on data insights
5. Predictive analytics and machine learning in marketing

A/B Testing Worksheet for Email Marketing

Module 4: Applying Data Insights to Marketing Strategies

1. Translating data insights into actionable marketing strategies
2. Data-driven content marketing and personalization
3. Optimizing marketing channels and campaigns based on data
4. Measuring and attributing marketing success (attribution models, ROI analysis)
5. Continuous optimization and experimentation (A/B testing, multivariate testing)

Closed Loop Dashboard

Module 5: Tools and Technologies for Data-Driven Marketing

1. Overview of the data-driven marketing technology landscape
2. Marketing analytics and BI platforms
3. Customer data platforms (CDPs) and data management platforms (DMPs)
4. AI and machine learning tools for marketing
5. Data integration and automation solutions

Martech Stack Analysis