Use these graphics in presentations, proposals or social posts. Keep the source and context intact. The businesses shown are external examples, and their results are not guaranteed.
38 designs
+15% year-on-year café revenue
Source: Lolly. Twelve-outlet campus setting; observational result from an app, subscription offer and campaign. Auto-renewal is not the percentage of all café customers retained.
81.94% vs 41.25% returning customer rate: app vs online store
Source: Venn Apps. Channel cohorts may differ. Source headline says +104%, inconsistent with the reported rates; use the two raw rates only. Not an in-café visit measure.
+30% average order frequency: wallet vs non-wallet customers
Source: Ansa. The source compares wallet holders with non-wallet customers. Self-selection and incentives prevent app-only causal attribution.
+49% loyalty-driven sales
Source: Incentivio. Loyalty-driven sales are a subset of sales; this is not 49% growth in total business revenue.
2× online orders
Source: Craver. Online-order growth may include channel migration. No total-revenue or incremental-return-client count is disclosed.
+45% order frequency among repeat customers through Craver
Source: Craver. The repeat-customer comparison is not a count of new regulars. Baseline cohorts and period are not fully disclosed.
Nearly 400 active loyalty members
Source: Stamp Me. Membership and redemptions are not additional customers or a measured revenue uplift. Bonus stamps mean stamps do not equal visits.
800+ active members
Source: Stamp Me. No control group or revenue increase is published; stamps and redemptions are not unique returning customers.
2,300+ active members
Source: Stamp Me. Programme totals do not measure incremental revenue or additional visits.
1,300+ active members
Source: Stamp Me. No published percentage increase in retention or revenue.
Over 90% bookings through online appointment system
Source: Square. Online share includes multiple entry points; it is not an app-only share or 90% booking growth.
Almost 2× bookings after switching systems
Source: Square. Approximate provider claim across five locations; no app-only attribution, exact baseline or return-client count.
+33% reported revenue growth
Source: ABC Glofox. Listing-level figure; linked detail page describes the app and platform but omits the number. Whole-platform result, not isolated app impact.
Over 150% reported revenue growth
Source: ABC Glofox. Selected vendor success story with no control group; expansion and wider business changes matter.
+40% reported revenue growth
Source: ABC Glofox. Whole-platform case; timing and independent causal analysis are not provided.
56% online DTC revenue through app
Source: Tapcart. Revenue share is not new revenue. The reported 97% retention figure is omitted because its definition and window are unclear.
+42% app average order value vs website
Source: Tapcart. Selling diabetes-device accessories is retail evidence, not evidence of improved clinical outcomes. Channel selection bias applies.
+44% average order value after digital ordering
Source: Flipdish. Homepage-level vendor statement; digital ordering includes channels beyond a mobile app. Not a total-revenue increase.
+10% overall giving
Source: Pushpay. The recurring share rose 15 percentage points; donations are not commercial revenue and the campaign also contributed.
9× monthly app users
Source: Pushpay. Usage, workload and digital share are separate measures. Online giving includes more than the app.
67.8% attendance without reminders
Source: Cochrane / PubMed. Historical SMS evidence of low-to-moderate quality, not push-notification or branded-app evidence. Reported group rates are descriptive, not the pooled treatment effect.
60% → 71% average learner attendance
Source: Appointedd. An 11-percentage-point attendance change; not an app-only result or driving-school-specific evidence.
25+ staff hours saved per week
Source: Brightwheel. Customer-estimated staff saving; no controlled study or customer-app-only attribution.
38,000+ app downloads in 2023
Source: Guidebook. University event evidence; not a forecast for primary schools. Downloads do not measure active users or revenue.
70–80% fewer repetitive guest questions
Source: Touch Stay. Owner/provider-reported reduction; web guidebook plus property software, not an isolated native-app result.
About 20 hours reclaimed per month
Source: MoeGo. Owner-estimated saving for a management platform. Near-zero no-shows is qualitative; no percentage reduction is established.
1,100+ bookings attributed to three automated workflows
Source: MoeGo. Attribution does not prove incremental bookings. No controlled revenue uplift is disclosed.
Around 20% revenue increase without more members
Source: Pitchero. Collection effectiveness, not app-generated new members; no control group.
700+ active customers in programme
Source: Stamp Me. Programme participation is not a measured increase in customer retention.
30% vs 59% salon online booking: median vs top earners
Source: Zenoti. Correlation, not app-caused growth. Online includes web, app and kiosks; repeat means more than one visit per year. Platform sample is not all businesses.
97% read local business reviews
Source: BrightLocal. Self-reported consumer behaviour; not app revenue impact, and not a UK consumer estimate.
2,800+ active members
Source: Stamp Me. A stamp is a qualifying admission, not necessarily a separate family visit. Members are not newly acquired clients.
