Guarantees in Your Offer: Lower the Customer’s Risk Without Overcommitting

Why customers hesitate even though the offer is right

A customer has read the offer, seen the references, and accepted the price. Still, he does not sign. In the conversation, the reason emerges: he has had bad experiences with another provider, and if something goes wrong this time, he will have to explain it internally. The price is not the problem. The problem is the risk of making the wrong decision.

The question this article sets out to answer: how does a business use guarantees and commitments to lower the customer’s risk without taking on a risk it cannot bear? To answer it, we first clarify the terms, then introduce signaling theory as a mental model, review what research shows about guarantees and abuse, weigh two views, and finally go through a test, a worked example, and wording.

A guarantee does not sell the service; it sells the certainty that the provider believes in its service.

Terms: statutory warranty, goodwill, guarantee, commitment

In everyday use, four terms are mixed up that mean different things legally and in sales. The statutory warranty is the legal claim in the event of defects. It applies anyway and is therefore not a selling point. Goodwill is what a business grants voluntarily beyond that, without any claim existing; the guide Handling complaints describes when it makes sense.

A guarantee is a voluntary commitment to stand behind a specific characteristic, durability, or result, with a defined consequence if it does not occur. Under German law, it creates claims of its own alongside the statutory warranty. A service commitment is a weaker form: the business commits to something specific, such as a response time or a deadline, and defines what happens in case of deviation, such as a credit.

The mental model: guarantees as signals

In 1973, the economist Michael Spence developed signaling theory using the example of the labor market. When one side cannot observe the quality of the other, it needs a signal. A signal is credible only if it is more expensive for someone of poor quality than for someone of good quality. A degree convinces an employer because it is harder to obtain for less capable applicants.

For guarantees, this means: a business that works reliably rarely has to honor a deadline guarantee. For an unreliable business, the same guarantee would be expensive. That is why the customer can infer reliability from the guarantee. Boulding and Kirmani (1993) tested in an experiment whether buyers actually read warranties this way. Their results are generally consistent with signaling theory. At the same time, their reasoning shows that a more generous warranty does not always work better: whether it counts as a sign of quality depends on whether the buyer trusts the provider to honor it.

What research shows about effective guarantees

Christopher Hart (1988) collected the objections many service providers raise against guarantees: services cannot be inspected in advance, quality is too hard to measure, external circumstances cannot be controlled, and cheaters would exploit the guarantee. He considers these concerns largely unfounded and warns at the same time that a weak guarantee achieves nothing. If you try to keep the cost of a guarantee as low as possible, you lose its effect.

• Unconditional, or with as few conditions as possible
• Meaningful: it concerns something that really matters to the customer
• Easy to understand: in one sentence without small print
• Easy to invoke: without forms, proof, or justification
• Easy to collect: quickly and without discussion

Hart also sees an internal benefit. A guarantee forces the business to focus on what the customer wants, sets clear standards, and provides feedback, because every claim makes a failure visible. In this sense, it is also a quality tool.

The most common concern is abuse. Wirtz and Kum (2004) examined in three studies what it depends on. The size of the possible gain had no influence on whether participants invoked a guarantee without justification. The intention to buy from the provider again, by contrast, reduced abuse in all three studies. High satisfaction and strong morality also reduced it, while people with a strongly calculating attitude committed it more often. The authors also point to the widespread recommendation not to cut the payout, because a smaller payout weakens the guarantee.

The studies concern consumers and services. For business customers, their finding speaks for guarantees rather than against them: business relationships are usually long-term, and a buyer who abuses a guarantee risks the relationship with a supplier he will need again.

Two views: selling point or liability trap

The first view follows Hart. Guarantees lower perceived risk, shorten the decision, and set a business apart from competitors who do not want to commit. They work especially well with new customers who do not yet know the business and with services whose quality is hard to check in advance.

The second view warns against overcommitting. A small business cannot spread a results guarantee as widely as a large corporation. A single case in which the result depends on things the business does not control can cost a year’s profit. And a guarantee that is interpreted differently in a dispute than intended can trigger claims nobody had considered. The guide Expressing customer value in euros therefore explicitly warns against inadvertently phrasing value calculations as a promise.

I consider both views correct and see the line in control. Guarantees on what the business itself controls, such as response times, deadlines, and rework, are usually a good deal. Guarantees on results that also depend on the customer, the market, or the weather rarely are. If you still want to give them, you need a measurement both sides agree on in advance and a cap.

The guarantee test: five questions before every commitment

Hart’s features and signaling theory yield a test that I apply before every new commitment. I call it the guarantee test. If a commitment fails one of the five questions, it is changed or dropped.

1. Controllable?

   Does what is promised depend mainly on your own business? Response time and deadline yes, an increase in the customer’s revenue hardly.

2. Measurable?

   Can it be determined clearly whether the commitment was kept, without having to argue about it?

3. Meaningful?

   Does the commitment concern something that matters to the customer and helps him decide? A guarantee on trivia signals nothing.

4. Affordable?

   What does honoring it cost per year at a realistic rate, and could the business bear a bad year?

5. Simple?

   Does the commitment fit in one sentence, and can the customer invoke it without a form?

The fourth question can be calculated. In the following worked example, a business with 120 orders a year offers a deadline guarantee: if the agreed date is exceeded, the customer receives a credit of 300 euros. The cost depends solely on on-time delivery.

The example shows signaling theory in figures. For a business that meets its deadlines, the guarantee is cheap; for an unreliable one, it is expensive. That is why it convinces. If you do not know your on-time delivery rate, measure it first; see the article Delivery time as a selling point.

Wording commitments and using them in the conversation

A good commitment is short, concrete, and names the consequence. It appears in the offer at the point where the customer feels the risk, not in the small print. Two phrasings show the difference.

In the conversation, the commitment answers the objection behind many price objections: the fear of making a mistake. The guide Handling objections describes how to recognize this objection. Another way to lower the risk is a small paid pilot order, as described in the guide Testing a new service. It gives the customer the chance to get to know the business without committing to the whole project.

With large customers, the direction is sometimes reversed: purchasing demands contractual penalties, liability commitments, and guarantees the business would not have offered on its own. The guarantee test applies here just the same. Whatever is not controllable, measurable, and affordable is negotiated or capped. The guide Winning your first large customer describes what to watch for in the purchasing terms of large companies.

Conclusion and what you can do this week

How does a business use guarantees to lower the customer’s risk without overcommitting? It makes commitments on what it controls itself, words them concretely with a clear consequence, and calculates in advance what honoring them costs at a realistic rate. Signaling theory explains why such commitments convince: they would be expensive for a poor provider. Research also shows that the fear of abuse is usually exaggerated, especially with customers who want to come back. Results guarantees remain the exception, with an agreed measurement and a cap.

1. This week: Write down the three concerns customers most often raise before signing.
2. Next week: Phrase a commitment for each concern and check it with the five questions of the guarantee test.
3. In a month: After the wording has been reviewed, add the commitment that passes all five questions to your standard offer, and review the claims after one quarter.

A guarantee is most valuable when it is rarely claimed. That is not a contradiction; it is its purpose.