If you find that you frequently turn to a friend to help make a decision, Flingly is an app that will definitely be appealing to you. This app makes it possible to tap into popular opinion, whether it's on what your next purchase, vacation or outfit choice should be. Flingly lets its users vote using a system of likes and dislikes, so that already, your choices are whittled down to two options.
Since the entire app is driven by community participation, the social parts of the app are huge. Like many other networks, users are able to set up a profile, follow other users and search for topics that are of particular interest.
Thanks to the Internet, it's possible to become an expert in just about anything, so Flingly is the perfect platform for sharing your unique perspective and opinions on a range of topics.
Outsourced Opinion Apps
Flingy Uses the Power of the Crowd to Help Make a Decision
Trend Themes
1. Crowdsourced Decision-making - Flingy's success shows that there is a growing demand for apps that rely on the power of the crowd to help make decisions on purchases, vacations or fashion choices.
2. Social Ecommerce - Flingy's community-driven and social features present an opportunity for eCommerce companies to integrate social media and crowdsourced opinion into their products and services.
3. Expert Curation - Apps like Flingy provide a platform for users to showcase their expertise in various fields and create opportunities for companies to curate related content offerings.
Industry Implications
1. Ecommerce - Flingy demonstrates an opportunity for eCommerce companies to integrate social media and crowdsourced opinion into their products and services.
2. Social Media - Flingy's social features offers an opportunity for continued innovation within social media platforms as they adapt to integrate social eCommerce and crowdsourced opinion.
3. Knowledge Sharing - As Flingy emphasizes the concept of expertise, there is potential for companies and institutions to create similar platforms to share knowledge and engage with users.