How to read this library
We collect published examples of how businesses use apps and connected digital tools. Where possible, we link to the provider or organisation that originally reported the result. We record the business, metric, period, geography and interpretation limits. We favour named businesses over unattributed marketing claims.
Most commercial case studies are selected by software providers and are not controlled experiments. Their results can reflect marketing, pricing, expansion, loyal customer self-selection and operational changes as well as an app. A platform benchmark shows an association; a survey describes responses; neither proves what would happen to another business.
Some industries have related evidence but no direct quantified example in this collection. We show that distinction rather than assign a convenient percentage. We also exclude figures when the source’s metric labels conflict or its definition is too unclear to reuse responsibly.
Checked on 29 October 2026 means the source was reviewed for this pack. It does not mean the reported business result happened on that date. Older evidence is labelled. Check the linked source before using a figure in a new campaign.
Evidence labels
- Provider-reported case
- First-party provider case or customer statement; a selected success story, generally not independently audited.
- Platform benchmark
- Descriptive patterns across a provider's clients; not causal.
- Consumer survey
- Reported preferences or behaviour, not sales impact.
- Research review
- Studies of a particular intervention and population. The supplied review concerns historical SMS reminders, not app push.
- Related evidence
- The mechanism is relevant, but the example comes from a different sector. Figures keep their original sector label.
- Evidence gap
- No direct quantitative app outcome verified in this research pack.
These are evidence descriptions, not a trust score. The 47 source pages are mostly provider-reported and are not 47 independent studies.
Definitions
- Revenue growth
- A change in sales over a defined period. It may reflect several business changes, and does not automatically show an app’s causal effect.
- Returning customers
- Customers who buy again, measured within a defined cohort and period. A rate is different from an increase, and neither tells us how many extra clients an app caused.
- Booking share
- The proportion of appointments made through a channel. If 90% of bookings are online, that does not mean bookings grew by 90%.
- Loyalty activity
- Memberships, stamps and reward redemptions show participation. They do not by themselves measure extra visits or revenue.
In this collection
- 49 evidence records from 47 source pages
- 76 industries, each labelled direct, related or gap
- 38 original graphic designs, each in three formats
Data downloads
Last checked 29 October 2026.