Provided here is the process for smartphone users to avail discounts based on incremental improvements in their personal fitness (herein referred to as user or users). A mobile application (herein referred to as The Mobile Application for different platforms (Android, iOS, Windows, Blackberry OS, Ubuntu, Firefox OS etc.) or a web application (herein referred to as The Web Application) will bring together a host of entities viz. retailers, hospitals, restaurants, hotels, malls, multiplexes, airlines, private road transport firms, health and fitness centers, theme parks, clubs and recreational centers, real estate players etc. (herein referred to as entity or entities) to offer discounts on products and services based on incremental improvements in personal fitness cited by the users. The improvements in personal fitness can be on the following lines : 1. Reduction in body fat percentage 2. Reduction in waist to hip ratio 3. Increase in body muscle percentage 4. Reduction in Body Mass Index (BMI) [not falling lower than 18.5] 5. Reduction in Blood Pressure [not falling lower than 90/60] 6. Reduction in Blood Sugar [not falling lower than 70 mg/dl] 7. Personal record of calories burnt 8. Personal record of distance covered by walking / running/cycling/ swimming 9. Personal record of successful completion of ultra-marathons, marathons, half marathons and other endurance/long distance runs 10. Personal record of finishing in the top three in any athletics event at school, college, town, city, district, state and national level. The users will register on The Mobile Application or The Web Application and get exposed to the various discounts that may be availed based on improvements in their personal fitness as per points 1-10 mentioned above. The reduction and increase in vital fitness parameters mentioned in points 1-10 will be with reference to values on the date of user registration on The Mobile Application for users trying to avail discounts for the first time. For all subsequent attempts to avail the discounts, user will have to better the fitness parameter value that had yielded the last discount.