Firms and investors alike are beginning to recognize the importance of tracking how revenues from existing customers are evolving over time and to appreciate the value in understanding what might explain changes in these revenues. Consequently, in addition to looking at measures such as the retention rate to assess customer base health, they have begun examining a quantity called Net Revenue Retention, or NRR, which measures the fraction (or percent) of revenues expected from a cohort of customers that were actually generated during the period. In this note, we formally define the NRR metric, show how it can be broken down to pinpoint the type of revenue changes taking place, i.e., in what way(s) existing customers are spending differently, and explain NRR's potential role in guiding customer management decisions. The framework presented further highlights how knowledge of NRR can help avoid issues that arise when revenues from newly acquired customers are blended with those of from existing customers, as well as how NRR relates to other customer management metrics, such as retention rate, CAC (customer acquisition cost) and CLV (customer lifetime value). The note provides several concrete examples to illustrate the main ideas presented and the relevance of NRR in practice.
Startups are often evaluated by how well they perform on unit economics, defined as the ratio of a customer's lifetime value (LTV) to acquisition costs (CAC). A common target for unit economics, advocated by many VCs and analysts, is 3:1 (i.e., LTV/CAC=3). While there is certainly appeal to having a relatively high unit economics - and it provides the firm with a guide on how much to expend on acquiring customers - it is not obvious whether this prescribed "rule of thumb" ratio is in the firm's best interest. This note analyzes the problem by exploring how a company should go about determining the optimal amount to expend on customer acquisition. The approach proposed, in effect, calls for maximizing customer equity (the sum of lifetime values gained from all customers that are acquired less the acquisition costs incurred) and takes into account that there are decreasing returns to marketing efforts. The resulting customer unit economics (referred to in this note as CUE for short) is shown to often be lower than 3:1 - suggesting that firms have more leeway to grow while at the same time being mindful of profits.
The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today's data-driven marketplace. This note explains the value of examining customer metrics, such as retention rate, revenues, and social influence (k-factor), on an ongoing basis by conducting a cohort analysis. Such an analysis segments customers using one or more criteria, and tracks the behavior and performance of each of these segments over time. Using several instructive examples, the presentation highlights the benefits of running a cohort analysis for deriving a deep understanding of customer trends. Moreover, the examples expose the pitfalls that arise from not accounting for segment characteristics (such as when a customer joined, from what media vehicle they were acquired, how heavily they use the product, etc.) and not paying attention to the evolution of customer metrics over time. The implications of conducting a cohort analysis for firm strategy and for determining customer lifetime value (CLV) are discussed.
One of the hallmarks of the digital revolution is the rise of the socially-connected consumer. Concomitantly, the ability of companies to affect and measure the social interactions among customers has grown tremendously. Consequently, in assessing the full value of each customer to the firm it is no longer sufficient to only consider a customer's worth in terms of the discounted cash flows he or she provides through direct payments, it is also critical to incorporate the indirect value generated through the customer's social influence. In this note we develop a framework for measuring and quantifying the social value that a customer generates. We derive a simple expression for Customer Social Value (CSV) and show how to combine it with the commonly used expression for Customer Lifetime Value (CLV). The combined entity is termed Customer Lifetime Social Value (CLSV). The note uses concrete examples to illustrate the main ideas and explores a host of issues related to how customers create value for the firm through their social interactions, such as the duration of social influence, reduction in acquisition costs, segmentation implications, relevance for influencer marketing programs, and connection to firm-level valuation.
In recent years, word-of-mouth (WOM) marketing has been the subject of considerable interest among managers and academics alike. However, there is very little common knowledge on what drives the value of WOM programs and how they should be designed to optimize value. Firms therefore frequently rely on relatively simple metrics to measure the success of their WOM marketing efforts and mainly use rules of thumb when making crucial program design decisions. This article proposes a new method to measure WOM program value that is based on the impact of WOM on the firm's customer equity. It then provides recommendations for the five main questions managers face when planning a WOM program: Who to target? When to launch the program? Where to launch it? Which incentives to offer? and How many participants to include?
Venerable Detroit automaker Atida Motors has a new call center in Bangalore that the company hopes will raise its reputation for customer service. But it doesn't appear to be doing so yet. Complaints about the Andromeda XL--the hip new model Atida hopes will capture the imagination of Wall Street--are flooding the call center. Call backlogs are building, and letters of complaint are piling up. One loyal Atida customer is so upset about getting the brush-off that he's not only talking to a lawyer but threatening to go on YouTube and take his case to the court of public opinion. In the Internet age, does Atida need a new way to deal with unhappy customers? Tom Farmer, the creator of the unintentionally viral PowerPoint presentation "Yours Is a Very Bad Hotel," says that Atida needs to stop defining customer service solely as a response to bad news and nip problems in the bud by making online dialogue intrinsic to the brand experience. Nate Bennett, of Georgia Tech, and Chris Martin, of Centenary College, observe that Atida has violated its customers' sense of fairness within three dimensions--distributive, procedural, and interactional--thus increasing their desire for revenge. Lexus Vice President for Customer Service Nancy Fein thinks Atida isn't even in the ballpark when it comes to world-class customer service. She offers as an example a Lexus rep who drove 80 miles to deliver $1,000 to a stranded Lexus owner whose purse had been stolen. Barak Libai, of Tel Aviv University and MIT's Sloan School, suggests that Atida invest in a CRM system so that it can determine which customers have enough purchasing and referral value to be given the red carpet treatment and which should be gently let go.
Venerable Detroit automaker Atida Motors has a new call center in Bangalore that the company hopes will raise its reputation for customer service. But it doesn't appear to be doing so yet. Complaints about the Andromeda XL--the hip new model Atida hopes will capture the imagination of Wall Street--are flooding the call center. Call backlogs are building, and letters of complaint are piling up. One loyal Atida customer is so upset about getting the brush-off that he's not only talking to a lawyer but threatening to go on YouTube and take his case to the court of public opinion. In the Internet age, does Atida need a new way to deal with unhappy customers? Tom Farmer, the creator of the unintentionally viral PowerPoint presentation "Yours Is a Very Bad Hotel," says that Atida needs to stop defining customer service solely as a response to bad news and nip problems in the bud by making online dialogue intrinsic to the brand experience. Nate Bennett, of Georgia Tech, and Chris Martin, of Centenary College, observe that Atida has violated its customers' sense of fairness within three dimensions--distributive, procedural, and interactional--thus increasing their desire for revenge. Lexus Vice President for Customer Service Nancy Fein thinks Atida isn't even in the ballpark when it comes to world-class customer service. She offers as an example a Lexus rep who drove 80 miles to deliver $1,000 to a stranded Lexus owner whose purse had been stolen. Barak Libai, of Tel Aviv University and MIT's Sloan School, suggests that Atida invest in a CRM system so that it can determine which customers have enough purchasing and referral value to be given the red carpet treatment and which should be gently let go.