LoopVOC vs WeRela

Loop helps SaaS companies keep growth strategies relevant based on real-time customer feedback.

Traditional market research is dying. Customer feedback is growing at an overwhelming pace. And SaaS companies are more than ever competing on their ability to respond. Without access to customer feedback, we cannot change, we cannot grow, and we are destined to fail.

Loop is voice of the customer software designed to revolutionize the way SaaS companies collect, analyze, and respond to feedback from their customers. By combining natural language processing with a simple and affordable experience, Loop provides SaaS companies with real-time access to customer feedback insights, where traditional market research cannot. It's our mission to reduce reliance on surveys by extracting meaningful insights from places where customers are already telling companies what they need on a daily basis (places like support tickets, sales opportunities, and online reviews), so CX and marketing leaders can proactively identify issues impacting retention and sales, and pivot company initiatives to address them.

Location: Charleston, USA

Meet new friends with common interests

The main purpose of WeRela is to socialize and report users, but unlike the social networks that we are accustomed to using, makes sure that people can actually meet. Through the geolocation system you can see the people who use the app around your position. This will make it possible to view the individual profile and see if you have common interests, or in any case can be born a true friendship off-line. Not only that, WeRela, through information provided by the user, is able to calculate the percentage of affinity between people, so that you have at a glance the probability that friendship, or relationship, have good results. But that's not all. Everyone has his favorite spots that often frequents (gym, pub, library) .Each user can mark as favorite the place that habitually attends and the person who opens a user's profile can see if it will meet in places that also he attended. Finally you will be able to see the friendships / relationships of a user and, using a crossover system, refer to the percentage of affinity between the user and his relationship, and between itself and user relationships displayed. In this way you can decide whether to request the contact of a user report, for example, if the percentage of affinity is very high.