Making Sense of Customer Data
Investment
Payment plans available, includes datasets
Three monthly installments of $150. Comes with downloadable SQL query templates and Excel workbooks
What You'll Learn
Curriculum Breakdown
- Customer health scoring models
- Cohort analysis for retention tracking
- Calculating and improving lifetime value
- RFM segmentation techniques
- Predictive churn modeling basics
- Attribution across multiple touchpoints
Tools and Techniques
- Data Extraction
- SQL fundamentals for querying CRM databases, API basics for external integrations
- Analysis Methods
- Excel pivot tables, statistical significance testing, visualization best practices
- Application
- Build three complete dashboards: sales pipeline health, customer retention metrics, and account expansion opportunities
Your CRM collects thousands of data points. Most of them don't matter.
This program teaches you which customer metrics drive business outcomes and how to spot patterns in your data. We skip the marketing fluff about 360-degree views and focus on practical analysis: churn prediction, lifetime value calculation, and segmentation that changes how you prioritize accounts.
You'll work with real anonymized datasets from B2B and B2C companies. The exercises involve SQL queries, Excel analysis, and dashboard creation in tools like Tableau or Power BI. No statistics degree required, but you should be comfortable with formulas and basic data manipulation.
The skills here apply whether you're in customer success, product management, or marketing operations. It's about asking better questions of your data and building reports people actually use.