Uncovering Opportunities and Risks: Applying Predictive Analytics in CSM
Uncovering Opportunities and Risks: Applying Predictive Analytics in CSM
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 31m | 101 MB
Instructor: Samuel Cummings
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 31m | 101 MB
Instructor: Samuel Cummings
Looking to harness data for better customer success management? In this course, data scientist and customer success leader Sam Cummings will teach you how to use predictive analytics to identify opportunities and mitigate risks in customer success. Learn to collect and prepare data, develop and evaluate predictive models, and monitor and improve your models. After this course, you'll be ready to use predictive analytics to make informed decisions and drive growth in your organization.
Learning objectives
- Identify types and sources of customer success management data.
- Clean and preprocess customer success management data.
- Develop and train predictive models.
- Integrate predictive models with customer success management platforms.
- Leverage predictive models to predict customer churn and identify upsell and cross-sell opportunities.
- Monitor and improve predictive models.
Uncovering Opportunities and Risks: Applying Predictive Analytics in CSM
