
Relevant Studies, Refreshed Monthly
Simple studies that require a single data point each month. Each study suggested and approved by your peer group.

Because your data remains unreadable at all times, you can now compare what you don't want to share.
For the first time ever, you can get answers to how your most sensitive performance metrics compare to the average of your peer group.
Pick what's most important to you and you can garantee it's being tracked by your peers, ensuring enough interest for the study to go live.
Register today and anonymously suggest your chosen studies to your peers or join existing studies that are already running.
Take Insperation From Some Popular Monthly Studies
For each study, you only enter the required values into pre-prepared fields - Peerformance does the rest. All studies are scaled so any size business becomes comparable
Client Aquisition Rate %
(New clients ÷ Total existing clients) × 100
Staff Turnover Rate %
(Employees left ÷ Total employees at start) × 100
Average Revenue Per Client
Total revenue ÷ Total clients
Employee Productivity
Total revenue ÷ Total FTE
Clients From Referals %
(New clients via referral ÷ Total new clients) × 100
Revenue Change %
(Current month revenue - Previous year’s same month revenue) ÷ Previous year’s same month revenue × 100
Sector Specific Studies
Take a look at some example studies for different sectors
Law Firms
Charities
Gyms and Health Clubs
Accountants
Haulage Companies
Chemists
Recruitment Consultants
Crop Farming
Car Rental Companies





Use of studies
Peerformance studies are designed for internal analysis only. Study results can never be shared with clients, used for marketing or published in any way.
These restrictions create another layer of quality, removing the incentive to game the studies in order to look good in the results.
All users agree to these terms as part of their acceptance of the Peerformance Data Quality Assurance Policy. Failure to comply with any of the terms results in the removal of the offending users from all studies.
Data quality and data protection is always at the heart of what we do.
