Location based social networks that leverage machine learning algorithms to enrich users experiences are the future of mobile applications. By almost all metrics mobile is the future of the web - smartphone saturation is upwards of 80% of the U.S. population and mobile applications account for 60% of digital time spend nationally. This trend will only increase as smartphones reach full saturation domestically and continue to become more ubiquitous the world over. The transition to a mobile first ecosystem is unfolding before our eyes and many niche consumer pain points are now being dragged into the light and alleviated.
I focus on the consumer pain point of organizing groups of friends to get together for social interactions. For all of the social media that exists, this pain point still persists. In this thesis, I design a go to market plan for a (hypothetical) product which revolutionizes the way my target demographic organizes and engages in social interactions. I go through the process of creating a real start up by conducting customer interviews and surveys, finding my ideal use cases, evaluating my value proposition, designing product features that achieve product market fit and outlining a go to market business plan. This thesis mimics the process of creating a real startup and validating the core hypothesis behind the product. The future belongs to mobile first location based social networks that leverage machine learning algorithms and Tribe is that future.