Indicative vs WeRela

Customer analytics, free from limits

Analytics that tell you how to grow your business.

Marketers, product managers, and business analysts use Indicative to optimize customer conversion, engagement, and retention. Indicative connects to all your customer touchpoints, synthesizes them into a complete view of behavior, and gives you the actionable insights you need to grow your customer base and build great products.

Indicative integrates all sources of behavioral data together (e.g. websites, mobile apps, marketing automation, CRM, help desk, etc), and enables complex data analysis without any SQL or coding knowledge, making it easy to use.
Indicative is the leading customer analytics tool for three key reasons: data warehouse integrations, multi-path funnel analysis, and 1 billion user actions/events per month. That's right, 1 billion user actions/events per month, even on our Free plan.

Location: New York, United States

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.