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Factors That Affected the Success of the Online Diet Plan

In recent years, technology has had a large influence on our lives. We are often unsure, however, what factors influence user interactions with the technologies.
Findings indicate that the users' characteristics are associated with sustained engagement with an online diet plan site and that usage of particular features on the online diet plan site results in higher return rates.
Building user loyalty and sustaining user engagement have always been a priority for online diet plan providers.
In domains like health, where online interventions are becoming more popular, the benefits of retaining users and improving overall health are very important.
Fixed factors such as age and gender are all predictive of engagement with the online diet plan sites; also, key actions carried out in the early stages of user interaction predict whether a user will return to the online diet plan site and the duration of active activity membership.
Key social actions such as friending and blog reading and diet-based actions like meal planning are associated with persistence in participation.
This understanding is important to retain users and motivates intervention and communication strategies that could be important to succeed in an online diet plan.
Based on the finding, more than 50% of users who visited the site in the first week did not return in the 2nd week. These users tried out the online diet plan site but failed to engage. Beyond this point, there is a slower, steady attrition rate over a prolonged period.
But some factors can affect return users to online diet plan sites and achieve their goal, including personal profiles with the personal picture, ability to ask questions and get the answer in their profile, advisory board, personal support, discuss ideas and thoughts with the community at large, predictive features of friending, planning meals, lovely blog, etc.


The success of online diet plan interventions relies on many factors, including the participants themselves (their attitudes, stage of readiness, and feeling of control), the intervention itself and its delivery, self-monitoring, online support, etc.

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