The Service-Profit Chain

Customer ServiceHogreve, J.; Iseke, A.; Derfuss, K.; Eller, T. · 2017Journal of Marketing
Topicsservice-profit chain·customer satisfaction·employee satisfaction·service quality·customer loyalty·meta-analysis·services

A leadership proposal asks you to fund employee-support and service-quality programs on a familiar promise: happier employees create loyal customers, then profitability. Before approving the investment, challenge the straight-line business case. The evidence supports each core relationship but reveals shortcuts and offsetting effects that the simple chain misses. The leadership question is whether employee and service gains convert into customer-oriented productivity, loyalty, and profitability.

The service-profit chain works, but not as a straight line.

Maximizing employee satisfaction or customer-facing service quality does not automatically strengthen customer loyalty or profitability. Support for employees improves productivity, service quality, and profitability through routes that bypass satisfaction. CMOs need an operating model that tests how employee and service investments convert into customer behavior and financial performance.

Data chart

The service-profit chain is a network, not a straight line

Employee satisfaction to customerloyalty-.116.290Service quality to profitability-.194.187

The service-profit chain works link by link, but direct and offsetting relationships change how leaders should manage it.

Action guide

  1. Replace the straight-line service model.Structure leadership reviews around multiple routes from employee support to customer and financial outcomes because the one-way chain misses direct and offsetting relationships.
  2. Govern for conversion, not maximization.Judge employee satisfaction by whether it becomes customer-oriented productivity and service quality by whether it builds loyalty; both have offsetting routes when those conversions fail.
  3. Fund employee support as more than a satisfaction program.It reaches productivity, service quality and profitability by routes that do not run through satisfaction, so a business case built on satisfaction scores alone understates what the investment returns.
  4. Make marketing and HR jointly accountable.Use customer-facing service quality, customer satisfaction, and loyalty alongside employee measures to assess employee-support investments.

Evidence

  • Across 518 studies, the links from employee support to employee satisfaction, service quality, customer satisfaction, loyalty, and profitability are all positive, yet the strict step-by-step chain misses important direct relationships.
  • Employee support was directly associated with employee productivity, customer-facing service quality, and profitability, beyond employee satisfaction.
  • Employee satisfaction accounted for all of employee support's relationship with retention, but only 29% of its relationship with productivity.
  • Employee satisfaction had a positive route to loyalty through the chain, including productivity, while its separate direct loyalty relationship was negative.
  • Taking every route together, employee satisfaction's overall relationship with profitability was slightly negative, not positive. Satisfaction pays only where it converts into productivity and service quality; on its own it does not reach the P&L.
  • Customer-facing service quality had positive routes to loyalty, but its separate direct profitability relationship was negative, leaving no reliable total profitability relationship.
  • The pooled evidence was predominantly correlational, and the links to revenue and profitability were both the weakest in the chain and the ones resting on the fewest studies.

Key takeaway

The service-profit chain is a network of conversions, not a straight route from employee satisfaction to profitability.

Source

Hogreve, J., Iseke, A., Derfuss, K., & Eller, T. (2017). The Service-Profit Chain: A Meta-Analytic Test of a Comprehensive Theoretical Framework. Journal of Marketing.

Evidence strength: Strong (pools 1,591 correlations from 518 studies and 576 independent data sets across B2C and B2B service settings, 1994-2015). The evidence is predominantly correlational; the revenue and profitability relationships rest on few studies and should not be treated as causal or as ROI estimates. Most underlying studies compared employees and customers at a single point in time and were pooled through meta-analytic structural equation modeling, not tracked over time; the loyalty-to-profitability and loyalty-to-revenue links rest on as few as 6 and 12 studies.