Data-Driven Decision Making for Account Managers

In today's business landscape, successful account management relies on clear data rather than gut feeling. Many account managers struggle to translate raw client metrics into strategic growth plans. This text-based course bridges that gap, teaching you how to confidently read, interpret, and act on client data to drive retention and expansion. You will transform from a reactive relationship manager into a proactive strategic partner who uses data to prove value. By learning how to calculate account health, analyze financial performance, and predict customer behavior, you will secure stronger client relationships and unlock new revenue streams. What you'll learn: - Understand foundational account management metrics, including Customer Lifetime Value (CLV) and Net Promoter Score (NPS). - Analyze financial data to identify upsell, cross-sell, and expansion opportunities within your existing accounts. - Monitor key health indicators to proactively identify and mitigate customer churn risks. - Interpret modern CRM data and dashboard metrics to make informed daily decisions. - Practice building data-backed business reviews and client presentations through written scenarios. - Apply basic forecasting techniques to predict account growth and resource needs. We begin by establishing core concepts and terminology, ensuring you understand what metrics matter most. From there, you will explore real-world scenarios, learning how to analyze account health, evaluate financial performance, and present data-backed recommendations to stakeholders. This course is designed for beginner account managers, customer success managers, and sales professionals who want to build their analytical skills. No prior background in advanced data science or statistics is required. Start reading today to master the analytical side of account management and drive measurable business growth.