Graybar CRM Case Study: Customer Segmentation Strategy

Graybar's Customer Segmentation Problem

Graybar is a wholesale distributing company that deals exclusively with organizations rather than individual retail customers. Despite this business-to-business model, customer service remains a critical component of organizational success — and Graybar was falling short in this area. Specifically, Graybar was failing to adequately segment its customer base, a practice essential to effective resource allocation and sustainable growth.

Customer relationship management frameworks distinguish among several types of buyers. Core customers place high-volume orders on a regular basis. Opportunistic customers order only when their primary distributor has failed to deliver or is experiencing a problem. Marginal customers place orders sporadically and generate little consistent revenue ("Graybar goes for customer analytics," p. 317). Importantly, opportunistic customers are not inherently "bad" customers — they simply require a different approach. As one industry expert explains, "Oftentimes, these are your competitors' best customers, the core customers for your competitors, and they're people that you would like to establish relationships with" (Lawrence, 2012).

The challenge for any company is to cultivate its core customers while converting other types of customers into core customers over time. This requires research and market analysis. Before implementing CRM software, Graybar was focusing solely on companies that spent the most money, without attempting to understand how to encourage opportunistic or marginal customers to deepen their engagement. The result was the squandering of finite organizational resources. For example, a company might spend a great deal of money in a single order burst and appear high-value, yet qualify as opportunistic because it orders only sporadically. Without CRM, Graybar could not differentiate between such buyers and genuinely frequent, loyal users.

Different categories of customers require fundamentally different approaches. It may be necessary to attract an opportunistic customer through quality and reliability, while a core customer might need a pricing incentive to remain loyal rather than switching to a cheaper competitor. CRM software encourages organizations to take an objective, data-driven look at customers (Lawrence, 2012), counteracting the bias and even sentimentality that can distort relationship management decisions. As a large national organization, Graybar cannot afford to fall behind its competitors, and adopting a best-practices approach to customer intelligence is essential to staying ahead.

How Analytical CRM Transformed Graybar's Business

After implementing analytical CRM, Graybar was able to segment its customers far more effectively. The first group — high-volume, profitable core customers — represents the company's financial foundation. The second group consists of opportunistic customers who are often drawn to Graybar due to a short-term need. As Lawrence (2012) notes, "these customers tend to pay well…but they're not loyal to you and they don't do much volume and they're aware of that. And since they're aware of that, they don't get demanding on pricing or cost to serve." Because these customers are frequently loyal to competitors, it makes strategic sense to cultivate them to some degree.

Beyond these two groups, CRM also revealed marginal customers — infrequent, low-volume buyers who are often unprofitable because they demand low prices and high levels of service — and service-drain customers, who buy at relatively high volume but are extremely high-maintenance in terms of service requirements. All of these distinctions become readily visible through CRM. For instance, an opportunistic customer may have recently placed a large order, but a review of historical buying patterns will reveal that this was simply a one-time purchase following a long period of inactivity. Similarly, service-drain customers may appear valuable by volume but erode margins through excessive returns and service demands.

Armed with this segmentation data, Graybar could tailor its sales approaches to each group. It could direct resources toward its most profitable customers and those with the highest potential for conversion to core status, while reducing time spent on marginal and service-drain customers whose buying habits are unlikely to shift in the near term.

Additional Benefits of SAP Customer Value Intelligence

Implementing SAP requires a significant investment of time and money, making it essential that the software yield substantial returns. Beyond mapping existing buying patterns, SAP Customer Value Intelligence enables Graybar to respond agilely to changing market conditions. As Peterson (2014) explains, "Markets can be divided strategically into segments to create scorecards, identify white spaces, and analyze customer behavior. This enables sales departments to make suitable offers and steer resources toward promising customers, channels, and products." A core customer who is beginning to exhibit opportunistic behavior, for example, signals the need for an immediate adjustment in pricing and service strategy.

Social CRM represents another significant benefit. By tracking customer behavior across social media platforms in addition to conventional purchasing channels, Graybar can anticipate customer needs — sometimes before customers themselves are fully aware of them (Cawood & Bailey, 2006, p. 280). Monitoring relevant activity on platforms such as Facebook and Twitter can surface signals about future purchasing behavior, enabling Graybar to cultivate both new prospects and existing accounts more proactively.

The SAP suite used by Graybar comprises three distinct analytical tools: SAP Customer Value Intelligence, which provides recommendations on improving customer value through stratification and segment targeting; SAP Account Intelligence, which delivers actionable insights to sales representatives via mobile devices; and SAP Audience Discovery and Targeting, which supports high-volume customer segmentation and integrates social data sources for deeper analysis (Hannon, 2012). Each of these tools contributes to a more complete, forward-looking view of the customer base.

Conclusion

Graybar's experience demonstrates that effective customer segmentation is not merely a technical exercise but a strategic imperative. Without a clear understanding of who its customers are and what they need, any wholesale distributor risks misallocating resources and losing its most valuable accounts. By implementing analytical CRM and SAP Customer Value Intelligence, Graybar gained the ability to distinguish among core, opportunistic, marginal, and service-drain customers — and to develop tailored strategies for each. The identification of white spaces, particularly in social media data, further positions Graybar to anticipate customer needs and build the enduring relationships on which its long-term profitability depends.

References

Cawood, S., & Bailey, R. V. (2006). Destination profit: Creating people-profit opportunities in your organization. Davies-Black Publishing.

Graybar goes for customer analytics. (n.d.). Case study.

Hannon, D. (2012). Fast, detailed, actionable analytics at Graybar. insiderPROFILES. Retrieved from http://sapinsider.wispubs.com/Assets/Case-Studies/2012/October/Fast-Detailed-Actionable-Analytics-At-Graybar

Lawrence, B. (2012). Using customer stratification and cost to serve information in your sales efforts to maximize profits. Proformative. Retrieved from

Peterson, M. (2014). SAP Customer Engagement Intelligence has four marketing solutions. SAP Newsletter. Retrieved from http://www.news-sap.com/four-solutions-sap-engagement-intelligence/