RESEARCH & CASE STUDIES
Explore published results from real businesses using apps, loyalty, booking and digital tools. Find the context behind the numbers—and graphics you can use in your own marketing.
49 evidence records · 47 source pages · Checked 29 October 2026
These are external examples, not AppBuild customer results. Many combine an app with payments, marketing or management software. Individual results vary.
Chosen to show different kinds of outcome, not the largest percentages.
+15% year-on-year café revenue
A university café operation launched a drink subscription inside its rewards app, supported by in-store, push and email promotion.
Context: Twelve-outlet campus setting; observational result from an app, subscription offer and campaign. Auto-renewal is not the percentage of all café customers retained.
+45% order frequency among repeat customers through Craver
Rook Coffee combined ordering, payment and Square integration in its app.
Context: The repeat-customer comparison is not a count of new regulars. Baseline cohorts and period are not fully disclosed.
Over 90% bookings through online appointment system
Wicks combined a bespoke customer app with Square booking on its website and in-store tools.
Context: Online share includes multiple entry points; it is not an app-only share or 90% booking growth.
+33% reported revenue growth
Glofox’s customer-story listing reports 33% revenue growth at KOMO Studio over twelve months.
Context: Listing-level figure; linked detail page describes the app and platform but omits the number. Whole-platform result, not isolated app impact.
70–80% fewer repetitive guest questions
A nine-room English B&B used digital guest information integrated with Cloudbeds.
Context: Owner/provider-reported reduction; web guidebook plus property software, not an isolated native-app result.
38,000+ app downloads in 2023
Manchester replaced printed open-day programmes with a mobile event guide.
Context: University event evidence; not a forecast for primary schools. Downloads do not measure active users or revenue.
Nearly 400 active loyalty members
A 38-seat Yorkshire café recorded loyalty participation after adopting a digital stamp programme.
Context: Membership and redemptions are not additional customers or a measured revenue uplift. Bonus stamps mean stamps do not equal visits.
800+ active members
A hospital coffee shop reported substantial use of its digital loyalty programme.
Context: No control group or revenue increase is published; stamps and redemptions are not unique returning customers.
480 active members
Barbetta reported sustained digital coffee loyalty activity.
Context: Cumulative activity, not an annual result or causal increase in repeat visits.
2,300+ active members
Three London refill shops used a shared digital loyalty programme.
Context: Programme totals do not measure incremental revenue or additional visits.
600+ active loyalty members
A Sydney butcher combined digital stamps with targeted email integration.
Context: No quantified sales or retention lift; joining includes a bonus stamp.
2,800+ active members
Four UK play centres recorded adoption of a cross-location rewards programme.
Context: A stamp is a qualifying admission, not necessarily a separate family visit. Members are not newly acquired clients.
1,300+ active members
A UK nail salon recorded digital loyalty engagement during its first ten months.
Context: No published percentage increase in retention or revenue.
1,400+ stamps issued
A Leicester beauty salon introduced digital rewards across treatments.
Context: Stamps are engagement events, not unique clients or extra visits. No revenue uplift is established.
700+ active customers in programme
A Melbourne car wash used digital stamp rewards to maintain customer relationships.
Context: Programme participation is not a measured increase in customer retention.
Over 90% bookings through online appointment system
Wicks combined a bespoke customer app with Square booking on its website and in-store tools.
Context: Online share includes multiple entry points; it is not an app-only share or 90% booking growth.
Almost 2× bookings after switching systems
Square reports that Barber Barber almost doubled bookings while consolidating appointments and operations.
Context: Approximate provider claim across five locations; no app-only attribution, exact baseline or return-client count.
2% reported no-show rate
Phorest reports a 2% no-show rate at Togninis using its salon platform.
Context: This is the resulting rate, not a 98% reduction. It does not isolate a customer app.
76 industries. Each page shows whether evidence is direct, related or a gap.
Direct sector evidenceRelated evidenceEvidence gap
