In Corporate Valuation, Customers are King

In 2021, initial public offerings (or IPOs) hit an all-time record with 1,000 companies entering the scene, more the doubling the previous year. From investors to managers to board members, business leaders need to understand the true value of companies, but many of the traditional valuation methods are outdated and incomplete. With increasing access to new data, astute forecasters are deploying new methodologies. Among these is customer-based corporate valuation, a field “equal parts marketing and Wall Street” with a central focus on how customer behavior drives success.  

Dan McCarthy joins to discuss customer-based corporate valuation, including which customer data points are most important to monitor and how investors and managers stand to benefit from this approach.  

Dan is an Assistant Professor of Marketing at Goizueta Business School. His research centers on customer lifetime value, limited data problems, data privacy, and the marketing-finance interface. He is regularly featured as a key expert, with recent coverage in the Harvard Business Review, Wall Street Journal, Fortune, the Economist, and CNBC. 

Corporate Valuation as a New Approach to Forecasting 

Until now, evaluating firms has been a question of forecasting future revenues off of past revenues. Customer-based corporate valuation (CBCV) entails looking at data regarding the flow of customer acquisitions over time. 

 

The model consists of four interlocking submodels governing how each customer of a firm will behave. They are: 

1. the customer acquisition model, which forecasts the inflow of new customers 
2. the customer retention model, which forecasts how long customers will remain active 
3. the purchase model, which forecasts how frequently customers will transact with a firm 
4. the basket-size model, which forecasts how much customers spend per purchase  

Using this data, predictive models for customer behavior produce forecasts – of revenues, as well as marketing expenses and ultimately cash flows. It’s Wall Street meets marketing. 

 

A Perfect Mix of Finance, Statistics, and Marketing 

McCarthy is the founder of two predictive customer analytics companies, one of which was acquired by Nike in 2018. Along with Peter Fader at Wharton, he has spent countless hours studying and working to refine CBCV over the last several years. His journey into this method combines many of his passions, including finance, statistics, and marketing.   

 

He shares that predictive and analytical tools, such as his CBCV, can be adapted for a multitude of uses for a variety of audiences, including investors, managers, CEOs, and marketing departments. Those business leaders with access to heavy data can receive detailed predictive information that can be leveraged for future decision making. It isn’t as simple as, “this is how we will perform”, but rather, McCarthy’s tool allows companies to understand the pieces that make them thrive. They can then use this information, such as which customers are more valuable or which marketing tactic is working best, to progress the company and drive growth. This approach, he says, is more of a value management task rather than a value measurement task.  

 

Even amateur investors with statistical aptitude can apply this approach. McCarthy shares the following Excel spreadsheet