Customer Profitability Analytics: Core Algorithms, Process, + Use Cases
Details
Join us for a tutorial-style workshop in which we will teach you the basics of how to calculate customer profitability and how to use customer profit metrics in high-impact ways to improve business outcomes.
Event Objective: the objective of the event is to enable attendees to learn the specifics of how to estimate profitability at the customer-level, essentially creating a "customer level P&L Statement" on a monthly, yearly, and lifetime basis. Being able to do this accurately is essential to enabling a range of high-impact analytic methods and use-cases.
Event Agenda:
Introduction to Customer Profitability Analysis, including it's history, how it has been used in the past, and the role these methods play in analytic work today Customer Profitability Algorithms: we will walk through the specific algorithms you need to use to turn raw data into customer profitability metrics, and share tips on how to customize them depending on your business model, data sources, and how you intend to use the metrics Data Requirements: We will define the data required to implement customer profitability algorithms Process: we will share an efficient process developed over 15 years to plan and execute analytic projects Use Cases: 5 common use-cases of customer profitability will be illustrated to give attendees a sense of how these metrics can be used to achieve specific business objectives Speakers will include myself (Jaime Fitzgerald) and my team at Fitzgerald Analytics. I've been helping clients with Customer Profitability Analytics since the summer of 1996, and it has become an important and recurring theme in our work through the present day.
The fee is a bit higher than most meetups, but if you are planning to work with customer data in your career, we guarantee this workshop will increase your lifetime earnings by far more than $20 ;-) -- and don't worry, most of our event remain free or very low cost, so we don't take it personally if you wait for the next one :-)