In this article, you will find out if it is real to test the idea before developing an app without much expenses.
Vivafit is a fitness app based on AI-technologies which replaces workouts with a personal trainer. The camera analyzes all the movements during the exercises and adjust them if necessary. After several training sessions, the algorithm processes all the collected data and creates an individual workout plan depending on the goals.
Identifying the problems of the target audience and conducting the survey
Problems that the team identified at the start:
– most women can’t afford a good trainer;
– going to the gym takes a lot of time;
– if women don’t know the right exercise technique, they could hurt themselves.
Therefore, the main goal: to help women take care of themselves and their own health, saving time and money.
Initially, the goal was to test the idea as cheaply as possible (spoiler: we spent only 200 dollars).
The main questions that we asked the respondents:
– Why do you work out at home and not go to the gym?
The largest number of respondents referred to the lack of time to go to the gyms.
– What or who helps you do fitness?
The majority of respondents do video lessons on Youtube, which suggests a need for interaction during the training.
– Why aren’t you using the app for training?
More often than not, respondents said they simply couldn’t find the app that was right for them.
Sales of an app that does not exist
After collecting data from respondents, we set up advertising for certain segments of the audience, where we spent approximately 70% of the budget. We conducted A/B testing of costs (2.90, 4.90, 7.90, buy, try free). Thus, we received early followers and also collected data on the forecast CPC, CPI. Based on the data about similar apps, we managed to obtain the expected conversion (from landing to installation page) – from 30% to 50%.
As the app did not exist at that time, it was suggested to subscribe to the mailing list. Among the people who intended to download or buy the app (“download” or “buy” button was clicked), about 50% left their mail to notify them when the application was released on the market. And the conversion to “blind purchase” (no cost, just the “buy” button) was 28%. The result is a pretty good indicator, describing that users are willing to pay if the product meets their expectations.
The app is available both on the App Store and Google Play now. All the data that was collected from surveys and focus groups +- matched. We have received the first sales. The cost limit at which the conversion price is economically viable ranges from $4.9 to $11.9.
As it turned out, the optimal subscription price for which the business model should be calculated is 7.9 dollars.
What are we doing now?
We are actively collecting feedback from users. We’re also planning to expand the functionality of the app by adding men’s training.
Learn about our app on our website: https://vivafit.app/