Understand customers' needs and maximize your profitability

Customer profitability analysis helps see the big picture

Not all customers are made equal. Customer profitability analysis (CPA) helps companies understand how reliant they are on profitable customers and the resources spent on less profitable ones. Low-profit customers can come at a high cost, so it’s critical to have a comprehensive and accurate understanding of your customers to minimize at-risk relationships and maximize profitability.

A customer profitability analysis is an evaluation of your customers' buying patterns looking into the profit generated per individual customer whereas activity based costing is associated with product profitability. Using your customer data, you can apply measurements to key metrics that drive profitability such as the annual revenue a customer generates, plus customer acquisition costs, customer retention costs and service costs as well as strategic factors like loyalty. Measuring customer profitability enables you to create a more sustainable and profitable business.

Behaviors at touchpoints that affect profitability

The Phocas sales analytics tool helps manufacturers, distributors and retailers pinpoint specific elements in common that affect profitability such as sales volume and cost-to-serve. Phocas has developed a means to weigh these variables so companies can fashion a customer profitability formula to help rank customers and determine profitable customer segments.

A high cost-to-serve can wipe out the gross margin if the customer drives your services through the roof, easily tipping the balance from profit to loss. Here are the different elements of cost to serve at various touchpoints.

Categorize customers based on purchasing decisions

Types of customers can be categorized into four groups based on their purchasing behaviors: Core, Opportunistic, Marginal, and Service Drain. This classification enables you to better understand your customers and serve their needs.

How to measure customer profitability with SaaS

The practical measures embedded in sales analytics software help map customers according to these categories and touchpoints and also find new sales opportunities with existing customers. A comparison between profitability and sales value can help you understand your customer base better, helping you track the actual margins you're making and identify customers who may be less profitable than they first appear.

You can review total revenue value and gross margin of all of your customers for rolling twelve month period. Drill into customer who spend a certain amount but have a margin of less than x percent. Finding the combination of high revenue and low margin means the average cost of doing business with these customers is expensive.

It is also wise to set up an alert for yourself if the number of customers goes over the set threshold to minimize any knock on effects to your bottom line.

Strategies to maximize customer profitability

Now that you've categorized all your customers, developing a strategy for increasing profitability into the future is the next step. The ability to implement effective marketing strategies, evaluate the results over time, and adjust as needed, will empower you to shape customer behavior and move them from one category to another. CPA also empowers you to better prioritize your retention strategies.

Because customer profitability analysis provides a clear picture of your group of customers, you can eliminate those that are high maintenance so your sales team can focus on customers who value and will pay for your company’s products or services. As your operations department is free from the demands of a service-drain customer, they are also available to service customers with reasonable needs. With in-depth customer profitability knowledge, business people are better equipped to make strategic decisions. Allocation of resources is also more efficient, helping to promote long-term customer relationships and customer loyalty within the core (high-profit) customer base.

Written by Katrina Walter

Katrina is a professional writer with a decade of experience in business and tech. She explains how data and AI can work for distribution professionals and finance teams without all the tech jargon.