Building Brand Trust: Why It Matters for Customer Loyalty
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How this guide was prepared. Last updated October 2026. It draws on Brandmovers' experience designing loyalty and promotion programs for consumer and B2B brands, including one program described below as its case page reports it. It also draws on Edelman and McKinsey research and FTC rules, listed under Sources. |
Brand trust is a customer's confidence that a brand will do what it promises: deliver products that work, charge fair and clear prices, handle personal data with care and help when something goes wrong. It is built through repeated experiences and lost through broken promises, which makes it a foundation for lasting customer loyalty.
This guide covers what brand trust is, why it matters for loyalty, what builds and breaks it, how to measure it, and where a loyalty program can strengthen it or put it at risk. Each section starts with a short answer and then the detail.
Key Takeaways
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What is brand trust?
Brand trust is a customer's confidence, based on a brand's actions rather than its words, that it is competent, behaves ethically and stays relevant to their needs.
Edelman's 2023 brand trust research refers to competence, ethical behavior and relevance as core elements of trust, and consumers who interact directly with a brand said those interactions help establish whether it delivers on them (Edelman). Trust is different from awareness or reputation. A customer can know a brand well, or hear good things about it, and still doubt that it will deliver for them. Trust forms through experience: the product works as described, the price at checkout matches the price advertised, problems get fixed, and data shared with the brand is used as promised. Each kept promise adds to it, and each broken one draws it down.
Why is brand trust important for customer loyalty?
Brand trust matters for loyalty because customers who trust a brand say they are more likely to stay loyal, try new products, forgive mistakes and recommend it to others.
Edelman's 2023 special report on brand trust, based on nearly 14,000 consumers in 14 countries including the US, surveyed in early May 2023, found that trust is an important consideration for 88% when choosing a brand to buy, just behind value for money (91%) and quality (89%). It also reported: "With trust, two thirds of consumers say they are more likely to stay loyal, stick with the brand even if it makes a mistake and/or recommend the brand to others" (Edelman).
These figures are global and self-reported: they describe what consumers say they would do, not measured purchases, and they do not separate US consumers. The reasoning behind them is straightforward, though. Without trust, a customer has to re-check the product, the price and the brand each time, and any competitor with a better offer looks like a safe switch. Trust reduces that friction, which is why it tends to sit underneath repeat purchases, referrals and the tolerance that keeps one bad experience from ending the relationship. Trust is not the only reason customers come back, however: habit, convenience, contracts and a lack of alternatives can keep customers buying from a brand they do not particularly trust, and that kind of loyalty is exposed when a credible alternative appears.
Trust also has a commercial side. In the same survey, 59% said that when they trust a brand they are more likely to buy its new products and/or buy it even if it is not as cheap as a competitor. The figure combines both behaviors and reflects stated intent, so it does not show how many would actually pay more, but it suggests trust can reduce how much a brand relies on discounts to win the next sale. Trust is also not the top factor: value for money (91%) and quality (89%) ranked ahead of it, so trust work does not make up for an uncompetitive price or product.
Building trust costs money too, in service staffing, returns and data protection, so put the effort where broken promises cost the most.
One practical estimate: take the customers who complained in the past year and later stopped buying, multiply by their average annual gross margin, and compare that with the cost of fixing the causes they complained about. Treat the result as a rough guide rather than a ceiling or a floor: some of those customers would have left anyway, which overstates the loss, while customers who left without complaining are missing, which understates it. If the fix costs more than the margin at risk, as it can for low-margin or one-off purchases, a smaller fix or clearer expectations may be the better call.
What builds brand trust?
Brand trust is built by delivering consistently, being clear about prices and terms, handling customer data with care, giving real help when things go wrong, and acting on feedback.
Deliver consistently
Trust starts with the basics: the product matches its description, orders arrive when promised and quality holds from one purchase to the next. No message or program makes up for a product that lets customers down. Consistency also means behaving the same way in every channel, so the price, policy and service a customer gets online match what they get in a store or on the phone.
Be clear about prices and terms
Customers trust brands that show the full cost up front rather than adding fees late in checkout, and that explain renewals, returns and reward terms in plain language. A surprise at the point of payment can undo a lot of goodwill, because it suggests the brand was counting on the customer not noticing. For live-event tickets and short-term lodging (16 CFR 464.1), the FTC's fee rule makes it unlawful to advertise a price "without clearly and conspicuously disclosing the total price" (16 CFR 464.2); for other goods and services, showing the full price up front is still good practice.
Handle customer data with care
How a brand collects and uses data is a trust decision. In a McKinsey survey of 1,000 North American consumers published in April 2020, 87% said they would not do business with a company if they had concerns about its security practices, and 71% said they would stop doing business with a company if it gave away sensitive data without permission. These are stated intentions, and the survey is several years old, so treat the figures as a sign of how seriously customers say they take data handling rather than a forecast of lost sales. The principle holds either way: collect what you need, say why, give customers control and protect what you hold. Asking customers directly for their preferences through a loyalty program is one way to collect data with the customer's knowledge rather than around it.
Give real help when things go wrong
Problems are inevitable, and how a brand handles them can matter as much as the problem itself. Fast responses, staff who can actually fix the issue, and honest acknowledgment of mistakes show that there are people behind the brand who care about the outcome. Other customers also see how a brand responds in public, including to negative reviews, so a reply that addresses the specific issue is worth more than a templated one. Poor customer service can undermine an otherwise strong loyalty program, so service and loyalty need to be planned together.
Listen and act on feedback
One complaint can be a sign that other customers hit the same problem and left without reporting it. Collecting feedback through surveys, reviews and service contacts, fixing the recurring issues and telling customers what changed shows that the relationship goes both ways; the guide to growing customer loyalty through communication covers how to keep that conversation going.
Collect reviews honestly. The FTC's rule on consumer reviews makes it unlawful for a business to provide "compensation or other incentives in exchange for, or conditioned expressly or by implication on, the writing or creation of consumer reviews expressing a particular sentiment, whether positive or negative" (16 CFR 465.4). The same rule bars a business from representing, expressly or by implication, that its review pages show most or all reviews submitted while reviews are being suppressed for their ratings or negative sentiment, though a business can still withhold reviews on criteria applied to all reviews regardless of sentiment, such as reviews it reasonably believes are fake or that contain defamatory content or another person's personal information (16 CFR 465.7). If reviewers receive payment, free or discounted products, or points they can redeem for prizes, the FTC's Endorsement Guides treat that as a connection that "must be disclosed clearly and conspicuously" when it might materially affect the weight or credibility of the review and the audience would not reasonably expect it; payment or free or discounted products count "regardless of whether the advertiser requires an endorsement in return" (16 CFR 255.5). This is general information, not legal advice.
What breaks brand trust?
Brand trust is lost when a brand breaks a promise customers relied on: a hidden fee, a data lapse, an ignored complaint or loyalty terms changed without warning.
- Surprise costs: fees that appear late in checkout, or renewals the customer did not expect.
- Data misuse or lapses: using or sharing data in ways customers did not agree to, or failing to protect it.
- Unresolved problems: service that deflects rather than fixes, or replies that ignore what the customer said.
- Managed feedback: paying for positive reviews, or hiding genuine negative ones.
- Loyalty program changes that feel like a bait and switch: devaluing points, adding expiration or raising reward thresholds without clear notice.
- Saying one thing and doing another: values the brand promotes but does not follow in practice.
Recovery is possible, but it usually takes an honest explanation, a fix that addresses the cause and time for customers to see the change hold.
How can you measure brand trust?
Measure brand trust with behavior, complaint and survey data tracked over time, since no single number captures it and stated trust does not always match behavior.
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Signal |
How to measure |
What it shows |
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Repeat purchase rate |
Customers with more than one purchase in a period ÷ customers who purchased in that period |
Whether customers come back without being won again; habit, convenience or a lack of alternatives can also drive repeats, so read it alongside the survey signals |
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Direct trust question |
A short survey item, such as how much customers trust the brand to deliver what it promises, on a fixed scale |
Stated trust, comparable across periods and segments |
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Likelihood to recommend |
A survey question on how likely customers are to recommend the brand |
Willingness to put their own name behind the brand |
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Complaints and resolution |
Complaints per 1,000 orders; time to resolve; share resolved on first contact |
Where promises are breaking, and how well they are repaired |
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Review ratings and themes |
Average rating and recurring themes in reviews, collected without sentiment conditions |
What customers praise or doubt, in their own words |
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Data permissions |
Opt-in rates for marketing and data sharing; unsubscribe and opt-out rates |
How willing customers are to share data with the brand |
Track each signal by segment and against your own history rather than an outside benchmark. A drop in one signal, such as rising complaints in one region, often points to a specific broken promise that can be fixed. Where possible, compare survey answers with behavior: a customer who says they trust the brand but has stopped buying is telling you something the survey alone would miss.
Trust spans several teams: product and operations keep delivery promises, service handles problems, legal and privacy teams set data practices, and marketing runs the program and the messages. Give each signal in the table an owner and review them together, for example quarterly, so a problem one team sees reaches the others. Connected systems help: when order, service and loyalty data sit in one customer record, a brand can see an open complaint before sending that customer a promotion, and consent records show which messages each customer has agreed to receive. A smaller business without separate teams or connected systems can start with two or three signals, such as repeat purchase rate, complaints and a single trust question, reviewed by one owner.
How do loyalty programs help brands build trust?
A loyalty program can support trust when its terms are clear, rewards are reachable, data use is transparent and engagement counts as well as spending; unfair terms damage trust instead.
A program is a set of promises: earn this, get that. Keeping those promises, with points that are easy to earn and redeem and terms that do not shift without notice, shows customers the brand can be relied on. A clear value exchange also makes data collection more acceptable: when customers upload receipts to earn rewards, they know what they are sharing and what they get in return. Programs that reward reviews, referrals, missions and other engagement as well as purchases can reflect what the brand stands for rather than reading as a discount scheme, provided review and social-share rewards follow the FTC rules above: no reward tied to positive sentiment, and the incentive clearly disclosed. The risks run the other way: a program with hard-to-reach rewards, confusing rules or unannounced devaluations can cost more trust than it builds. The same applies in B2B and channel programs, where the promises are to distributors, dealers or contractors: clear earning rules, rewards and payouts delivered on time, and plan terms that match what the sales team said. In regulated categories such as alcohol, lottery or financial services, check the category's rules on rewards and data before launch, since they can limit what a program may offer. A program also cannot repair trust lost elsewhere; if the product, pricing or service is the problem, a program mainly adds another promise to keep.
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Case study (disclosed by Brandmovers). A large nutritional CPG brand upgraded its existing influencer rewards program to a full loyalty program, aiming to avoid a typical points-for-purchase design and build a program that reflected its brand values and fit its members' lifestyles. Brandmovers built an activity-based program on BLOYL™, the Brandmovers loyalty platform, where members earn points for purchases and for engagement such as social shares, missions, challenges and referrals, with receipt validation, gamified leaderboards and a Shopify integration. The case page reports a "62% engagement rate among members," a "3+ increase in average transactions per user," 25% year-over-year member growth and more than 35,000 transactions in the first six months, counting missions completed, rewards ordered and bonus promotions completed. The members were the brand's influencers rather than its general customers, the page does not measure trust directly, and it reports no comparison with a points-for-purchase design. |
Frequently Asked Questions
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Customers who trust a brand say they are more likely to stay loyal, try its new products and recommend it. In Edelman's 2023 global survey, two thirds said that with trust they are more likely to stay loyal, stick with a brand after a mistake or recommend it.
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Customers treat data handling as a trust signal. In a 2020 McKinsey survey of North American consumers, 87% said they would not do business with a company whose security practices concerned them. Collect only what you need, explain why, give customers control and protect what you hold.
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It can, when its terms are clear, rewards are reachable, data use is transparent and it rewards engagement as well as spending. A program with confusing rules or unannounced devaluations can damage trust instead.
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Combine behavior, such as repeat purchase rate; complaints and resolution times; review themes; data opt-in rates; and survey questions on trust and likelihood to recommend. Track them over time and by segment rather than relying on one number.
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Breaking a promise customers relied on: a hidden fee, a data lapse, an ignored complaint, a suppressed negative review or loyalty terms changed without notice. A failure that looks deliberate, such as a hidden fee or a quiet change to program terms, can do more damage than an honest mistake that is acknowledged and fixed quickly.
Conclusion
Brand trust is a customer's confidence that a brand will keep its promises, and it underpins the repeat purchases, recommendations and forgiveness that loyalty depends on. It is built through consistent delivery, clear prices and terms, careful data handling, real help and visible action on feedback, and it is lost when any of those promises breaks. Measure it through behavior, complaints and direct questions over time, and treat a loyalty program as another set of promises to keep. Which promise are your customers least sure you will keep?
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Want to build a loyalty program customers can trust? Brandmovers designs loyalty and promotion programs on BLOYL with clear terms, transparent data collection such as receipt validation, and rewards for engagement as well as purchases. Request a demo to talk it through with the Brandmovers team. |
Sources
- Richard Edelman, "Trust and Brands: The Collapse of the Purchase Funnel," Edelman, June 18, 2023 (on the 2023 Trust Barometer Special Report)
- McKinsey & Company, "The consumer-data opportunity and the privacy imperative" (April 27, 2020)
- FTC Rule on the Use of Consumer Reviews and Testimonials, 16 CFR 465.4 (Cornell LII)
- FTC Rule on the Use of Consumer Reviews and Testimonials, 16 CFR 465.7 (Cornell LII)
- FTC Guides Concerning the Use of Endorsements and Testimonials, 16 CFR 255.5 (Cornell LII)
- FTC Rule on Unfair or Deceptive Fees, 16 CFR 464.1 and 464.2 (Cornell LII)
- Brandmovers, nutritional CPG loyalty program case study


