Lifestyle choices and habits considered harmful, such as smoking, excessive alcohol use or fast food consumption, can cause organizations to perform inefficiently due to health concerns and lowered work performance. These choices may not be rational, and with proper motivation and inducement, the users could be persuaded to change their behaviours towards healthier lifestyle. In the literature, mobile applications are considered to be especially suited for this, as the mobile devices are always carried around and the persuasion of the user can happen at the best possible moment – the Kairos. We propose a method of using continuations to iteratively collect personalized information from the user and from immediate environment by utilizing embedded sensors in the mobile device and infrastructure-based services as data sources for persuasive applications. This information, with previously collected individual historical information, all stored within the continuation, is used to gradually eliminate the non-contributing factors of the Kairos, for the individual user and for the targeted behaviour. This method will eventually provide closer estimates of the Kairos-moments, thus improving the changes of persuading user successfully.