Customer Loyalty

Customer loyalty · Retention economics · Service improvement

Loyal customers and an effective loyalty program are not the same thing.

Arcus helps leaders understand why customers stay, leave or change their spending, then compare service improvements, targeted interventions and rewards. The objective is sustainable additional contribution and a credible customer experience—not simply more members, points or promotional purchases.

The decision before the program

01 / Would these customers stay or buy without the intervention?

02 / Is the barrier a weak experience, a different need or an attractive alternative?

03 / What remains after rewards, service costs and the promotion period?

Define the behaviour the investment should change

An illustrative retailer reports that rewards members spend twice as much as non-members. Management proposes richer benefits. Yet frequent customers may have been more likely to join in the first place, and the additional reward could mainly subsidize purchases they already intended to make.

Arcus’s central thesis is that loyalty investment should address a diagnosed reason for customer behaviour and be judged against a credible alternative. Retention, purchase frequency, share of spending and relationship quality are different outcomes. Increasing one can be worthwhile, but it does not automatically establish additional profit.

A repeat purchase may reflect satisfaction, convenience, a contractual commitment or limited alternatives. Likewise, a departure may reflect a service failure, a changed need or a customer who is no longer economically attractive to serve under the current offer. A useful strategy distinguishes these explanations before selecting the response.

Four explanations for apparent loyalty

Use customer research and transaction evidence together. An organization-wide average can hide important differences.

01 / A valued relationship

The offer and experience may meet a recurring need better than alternatives. Identify the aspects customers value and whether these can be sustained. Avoid introducing complexity that damages an already useful relationship.

02 / Selection into the program

Customers already inclined to buy may enrol to collect rewards. Compare prior behaviour and a suitable counterfactual. A member/non-member spending gap alone is not evidence that the program caused the difference.

03 / Incentives change timing or mix

A promotion may bring purchases forward, shift spending between products or encourage reward-seeking. Examine the period after the offer and contribution across the relationship, not just purchases during the campaign.

04 / Friction or unresolved service problems

Customers may remain because switching is difficult while becoming dissatisfied, or leave because a repeated problem remains unresolved. Compare improvements to delivery and service recovery with another discount or points offer.

What loyalty research contributes

Leenheer and colleagues’ 2007 study of loyalty programs in Dutch grocery retailing explicitly accounts for customers selecting themselves into membership. It finds a positive effect on share of spending, but a much smaller effect than a model that ignores selection. This is observational modelling with identification assumptions in a particular market, not a universal causal effect or a prediction for another program.

Wang and colleagues’ 2016 field experiment with a hotel loyalty program examines purchasing before, during and after a goal-based promotion. The promotion had an overall positive subsequent effect, while the analysis of customers reaching or missing goals showed different patterns. Goal attainment itself was not randomly assigned, so those subgroup findings should not be treated as the same causal comparison as the randomized promotion.

Arcus’s interpretation is to examine selection, achievable conditions and post-promotion behaviour together. Neither membership growth nor a temporary purchase increase resolves the question of whether the intervention creates a stronger, more valuable relationship.

The Arcus retention investment diagnostic

Apply this original management framework to one customer segment and proposed action. It is not a validated prediction of an individual customer’s future behaviour.

01 / Relationship

Define the customer need, current behaviour and desired change. Separate repeat buying, retention, share of spending and contribution. Check whether the organization can identify the relevant relationship reliably.

02 / Reason

Identify why behaviour may change: experience, value, convenience, life cycle, competitor offer or reward. Compare customer accounts with service and transaction evidence. Record uncertainty and competing explanations.

03 / Response

Choose an intervention that addresses the reason. Specify the customer group, delivery owner, cost and conditions. Compare fixing the experience with offering an incentive or changing the proposition.

04 / Residual value

Assess additional contribution after rewards and delivery costs, including what happens after the offer. Set review criteria and a proportionate comparison before expanding the intervention.

Worked example: more retention, but at what cost?

Suppose a fictional offer goes to 1,000 customers. A credible comparison estimates that 70% would remain without it and 75% remain with it, implying 50 additional retained customers. If each contributes $200 over the chosen period before intervention cost, the additional contribution is $10,000.

If the reward costs $20 for each of the 750 customers who remain, reward cost is $15,000. The immediate result is therefore negative $5,000 before administration and other effects. A five-percentage-point retention improvement is real in this scenario, but not sufficient to establish a profitable intervention.

The conclusion changes with reward eligibility, longer-term contribution and cost assumptions. Do not assume all retained customers are incremental or apply an unsupported lifetime-value multiplier. Compare a targeted response, a lower-cost benefit or a service change, and test whether the improvement persists after the incentive ends.

Compare practical loyalty interventions

The best response depends on the cause of customer behaviour and the economics of delivery.

Fix recurrent service failures

Can address the reason customers leave and improve experience more broadly. Requires process ownership, operational capacity and follow-through. A points program will not compensate indefinitely for an unreliable core service.

Targeted retention support

Can address a specific, preventable departure reason or an important relationship. Requires a clear basis for targeting and consistent customer treatment. High predicted departure risk does not by itself show that an offer will change behaviour.

Rewards or recognition

Can support engagement or a differentiated proposition. Requires meaningful benefits, clear conditions and full reward economics. Risks include subsidizing existing behaviour, costly obligations and frustration when conditions are difficult to meet.

Redesign the value proposition

Can address a mismatch between customer needs and the offer. Requires evidence, delivery capability and a workable transition. Compare new value with additional complexity, cost to serve and possible cannibalization.

Make implementation and measurement credible

Budget for research, systems, communication, staff time, partner arrangements, benefit delivery and ongoing support. Review the cost of rewards under realistic participation and redemption scenarios with appropriate finance and specialist input. A low redemption rate can reflect inaccessible value rather than an effective program.

Choose an observation period suited to the buying cycle. Compare contribution, retention and customer experience rather than optimizing only enrolment or offer uptake. Seasonal changes, customer mix and product availability can affect results. An inconclusive small test should remain inconclusive rather than being described as proof of success or failure.

Establish appropriate permission, privacy and access arrangements before linking customer information. Explain conditions clearly and confirm applicable contractual, consumer and other requirements with qualified advisers. Give frontline teams the authority and information needed to deliver the promised experience.

Assign an owner for both commercial performance and service consequences. Review complaints, failed redemptions and customers who disengage as well as those who respond. Scaling a program requires operational readiness, not merely an encouraging campaign report.

How Arcus supports customer loyalty decisions

The scope can focus on a retention problem, customer experience or the design of an existing program.

01 / Diagnose the relationship

Customer research, selected journey and service review, and analysis of available behaviour and economics. Deliverables distinguish observed patterns, plausible causes and missing evidence.

02 / Compare interventions

Service, proposition and reward alternatives with costs, risks and implementation requirements. Recommendations explain which behaviour each option should change and why.

03 / Test and evaluate

A proportionate pilot or measurement plan, decision criteria and contribution scenarios. Leaders receive a clear account of incrementality, uncertainty and post-promotion effects.

04 / Implement and improve

A delivery roadmap, responsibilities, communication priorities and review milestones. Capability support helps teams connect customer feedback with completed corrective action.

Discuss the relationship you want to strengthen

Tell Arcus which customer behaviour is changing, what the current evidence shows and which decision remains unresolved. We can scope customer research, a retention review or a broader loyalty strategy. Begin with the business question rather than identifiable customer records.

Related services include market research and marketing effectiveness. View advisory experience through the central consultant directory.

Selected historical client work

These retained examples describe Arcus’s broader research, strategy and organizational work. They are not presented as evaluations of a loyalty program or evidence of a guaranteed retention effect.

Below is a sample of the range of services that Arcus has provided to clients.

  • A survey of 2,350 consumers and 1,320 business leaders for feedback on sustainability trends
  • Architecting a multi-year change strategy for a Fortune 500 company
  • Mentoring a CEO on organizational change
  • Excellence transformation of a leading B2B services company
  • Creating a new sales deployment model for a healthcare company
  • Developing a position evaluation and compensation model for a professional medical association   
  • Improving services to customer segments by deepening their understanding of customer attitudes