The useful finding is not that every loyalty program lifts revenue by a fixed percentage. The evidence shows that retaining a customer can have substantial economic value, that experience still determines whether someone returns, and that active participation is more meaningful than enrollment alone. This 2026 guide brings together original studies and explains what each number can, and cannot, tell a small business, hotel, restaurant, DMO or BID.
Last reviewed: November 2026. Percentages below refer to the populations and periods in the linked studies; they are not forecasts for Loop customers.
Start with your own numbers: Use the loyalty ROI calculator to model repeat visits, reward cost and margin. See Loop Loyalty & Rewards for the product, or the connected business guide for how rewards fit with bookings and referrals.
Seven loyalty findings worth understanding
| Finding | Source and scope | What to take from it |
|---|---|---|
| A 5% increase in retention was associated with a 25%–95% increase in profits in Bain's historical industry models. | Bain & Company, Loyalty Rules! | Retention economics can be powerful, but the range is not a current universal benchmark or a promise from software. |
| 52% of surveyed consumers said they stopped buying from a brand because of a bad product or service experience; 29% cited poor customer experience online or in person. | PwC 2025 Customer Experience Survey, US consumers. | Rewards cannot compensate for a service problem. |
| 57% of executives said their loyalty systems were not delivering the outcomes they needed; 46% thought their current program would be irrelevant in three years. | PwC 2025 Customer Experience Survey, executives at consumer-facing companies. | Measure behavior and value rather than assuming that having a program means it works. |
| In McKinsey's analysis, active members spent 10% more than enrolled but inactive members; redeemers spent 25% more. | McKinsey, Next in Loyalty. | Activation and redemption deserve attention alongside signups. These are observed differences, not proof that the program caused all extra spending. |
| 88% of global respondents most trusted recommendations from people they knew. | Nielsen 2021 Trust in Advertising Study, 56 countries. | Referrals and word of mouth matter, but trust does not by itself establish referral conversion or return on investment. |
| 94% of respondents were open to writing reviews; 69% had written a business review in the preceding 12 months. | BrightLocal 2026 Local Consumer Review Survey, 1,002 US adults. | A genuine request for feedback can be worthwhile; the result varies by business and review platform. |
| 60% of surveyed Australian consumers said membership in a loyalty program had prompted at least one change in spending behavior or willingness to recommend. | McKinsey Australian Consumer Loyalty Survey. | Membership can influence behavior, but this is self-reported and should not be presented as a measured sales lift. |
Retention is valuable, but the famous number needs context
Bain's widely repeated 5% retention finding comes from historical analyses of customer economics across industries. It describes a modeled relationship between a modest change in retention and a much larger change in profit. It does not mean that installing an app will produce a 25%–95% profit increase. Margin, frequency, acquisition cost and the duration of a customer relationship all affect the result.
For a café, a returning regular can contribute value every week. For a wedding venue, a customer's own booking may never repeat, but referrals can still be important. For a destination, another visit may occur next season, while a cross-visit to a second town can create value sooner. Choose a retention period that fits the buying cycle before calculating an improvement.
A simple measure is the share of eligible customers who make a second purchase or visit within a defined period. Keep the same definition before and after a program launch. If your business is seasonal, compare similar seasons. For a fuller method, see the loyalty program ROI guide and our customer retention explainer.
Experience comes before points
PwC's 2025 survey is a useful correction to loyalty marketing that talks only about offers. More than half of respondents reported leaving a brand because of a bad product or service experience, while 29% cited poor customer experience. The two questions describe different reasons and should not be added together. The study also records executives' concern that current loyalty systems are not delivering what they need.
A restaurant should make it easy to reserve a table, honour the booking, serve the guest well and invite a return visit. A hotel should make room details and policies clear, keep availability accurate and make a direct booking easy to complete. Rewards can reinforce that experience. They cannot repair a broken reservation flow or an unreliable service.
This is why the connected business journey starts with discovery and action, then looks at loyalty. If a booking route is missing, use the business booking tool or restaurant booking tool before optimizing a points mechanic.
Count active members and redemptions, not just signups
McKinsey's observed spending differences between active, redeeming and inactive members suggest that a large member database is not the same as a working program. An enrolled person may never receive a relevant offer or understand how to earn. A redeemer has crossed at least one practical hurdle: joining, engaging, seeing value and taking action.
Track the number of eligible customers, members who join, members who take a first action, active members in a useful time window, and people who redeem a reward. Then compare repeat behavior with a suitable non-member or earlier cohort. Do not treat the difference between active and inactive members as a pure causal effect: people who already love a business may be more likely to activate.
For small businesses, a digital punch card can be a simple first test. It should have a reachable milestone and a reward people actually value. For businesses that need referrals, customer content and partner offers as well, compare a wider loyalty and rewards program.
Referrals and reviews are different signals
Nielsen's global trust study found strong trust in recommendations from people respondents knew. BrightLocal's US review survey found substantial willingness to write business reviews. Those figures support the importance of customer advocacy, but neither source proves that a particular referral campaign will convert at a fixed rate. Track referred visitors, qualified leads, bookings and sales separately.
Reviews also need careful handling. Ask customers for honest feedback without steering the rating. Google Maps prohibits incentives in exchange for reviews, including discounts or free goods. A participation program can reward other eligible actions, such as visits, referrals or rights-cleared customer content, while requesting Google reviews without a reward. Check the rules of each review platform before designing an offer.
For user-generated content, obtain permission to use photos or video and record the rights granted. A photograph that helps a future customer choose a route is valuable, but it is not the same outcome as a confirmed booking. See the UGC statistics guide for separately sourced content and social-media findings.
What a region or BID should measure
A DMO or BID has a harder measurement job than a single venue because visitors move between businesses and transactions may be handled by different systems. The program can still report useful stages: people who joined, plans saved, businesses viewed, check-ins recorded, rewards redeemed, referrals made, content submitted and confirmed bookings where an integration makes that result visible. Do not label an outbound booking click as a sale.
The Yarra Valley Pass report provides an example of early program indicators, including activation and participant actions. Its early pilot results are evidence about that pilot, not a general prediction for other destinations. The connected region guide shows where a digital passport, AI trip planning and regional booking measurement fit together. A BID can start with the district loyalty guide.
Build your own loyalty baseline
- Choose one outcome. Repeat visits, returning revenue, direct bookings, cross-visits and referrals are different goals.
- Set the observation window. Use a period that matches how often customers naturally return.
- Record the starting point. Keep a pre-launch baseline or a comparable group where practical.
- Separate participation from sales. Signups, actions, redemptions and confirmed purchases belong in different columns.
- Include full cost. Software, rewards, staff time and promotion all belong in the denominator.
- Report limits. State what cannot be observed because another provider handles the transaction or a customer did not opt in.
The studies above show why retention and advocacy deserve investment. Your own program data determines whether an investment is working for your venue or place. Start with a small, measurable use case and improve the journey that customers actually experience.
How to use these figures in a board paper
Put each statistic beside its source, year, geography and question. A global consumer survey can justify investigating a loyalty idea, but it cannot forecast the return for one café or district. Keep a separate column for your own observed data: eligible customers, enrolled members, active members, repeat purchases, reward cost and gross margin. If a campaign coincides with a lift in sales, call that an association until you have a comparison group or another credible way to account for seasonality.
For a destination, report visitor and merchant outcomes separately. A visitor earning points, clicking a business listing and spending money at that business are different events. A member survey can show stated intent or satisfaction; transaction evidence supports a narrower spend claim. This distinction makes your program easier to trust and helps the next funding decision focus on what actually moved.
Sources and interpretation
Primary sources used here: Bain's historical loyalty economics; PwC's 2025 US consumer and executive survey; McKinsey's loyalty analysis; Nielsen's 2021 global trust study; BrightLocal's 2026 US review survey; and McKinsey's Australian consumer loyalty survey. Survey responses, modeled economics and observed program behavior are distinct forms of evidence and should not be combined into a single ROI claim.