MOCA launches Wi-Fi based Audience Analytics for Outdoor and Indoor Locations

Wi-Fi is the most versatile technology for modern audience analytics in venues. As a Big Data Location-based Marketing Platform, we’re constantly improving our analytics features and dashboards. Today, we’re glad to announce Wi-Fi based Audience Analytics for Indoor Locations such as shopping malls, airports, museums, and stadiums, and Outdoor Locations such as cities, villages, towns or countries.

This feature expands analytical capabilities of  MOCA Wi-Fi Analytics product, which also includes indoor mobility flow, outdoor heatmap, dynamic indoor heatmap (watch how your audience flows, minute by minute), floor plan management, and more. Do you want to learn more about this product? Please, contact us here.

Wifi Analytics

MOCA partner with Bullfrog to Enhance Insurance Services through Location Intelligence and Big Data

We are excited to announce our partnership with Bullfrog, a leader in innovation consulting and experts in the areas of FinTech and InsurTech. Through this agreement, the two leading companies are committed to help financial and insurance entities better understand their customers, allowing them to design financial products based on their profile, as well as providing a better experience through a more personalized set of services.

Bullfrog home page

Using Geolocation to Predict Urban Mobility Patterns

The increasing ubiquity of mobile devices use has opened up new avenues in the study of human mobility. To face the mobility challenge will require coordinated actions from the private and public sectors. Technological advances, the massive use of apps and the application of Big Data techniques and technologies and business model innovation will be needed to realize productivity improvements while creating more sustainable environments in our cities. In a recent study, MOCA’s scientific team has discovered, for one hand, that urban mobility patterns can be predicted using geolocation data from mobile devices and for the other, that mobility patterns follow Zipf’s mysterious law.

This research comes up from the project BD2K (Big Data to Knowledge) funded by the CDTI and European Union funds, which has developed the basis of MOCA’s Machine Learning algorithms.

MOCA Urban Mobility Patterns

Solutia Intelligence and MOCA Partner to Make Cities Smarter through Beacons and Machine Learning Technology

We are very glad to announce our partnership with Solutia Intelligence, a leader in the development of technology solutions for companies and public entities. Through this agreement, our customers will be able to interact and communicate with citizens, engage local businesses and connect departmentsThe integrated solution for smart cities provide services such as Big Data Analytics, IoT sensor Management, Multi-Channel Communication, Traceability and Connectivity.

Announcing MOCA Partner Program: Location-based technologies for a customer-centric strategy

Customer engagement is a top priority for marketers this year. While brand awareness is a longstanding marketing objective that implies one-way communication, business-to-consumer is focused on a two-way directional channel, indicating the rising importance of more personal relationships with the end user.

The trend toward personalization increases everyday and answers questions like what, when, where, who and how; it has never been more important. Today location-based technologies open up new possibilities to companies focused on a customer-centric strategy. We’re glad to announce the launch of MOCA Partner Program that will enable digital agencies, app developers, system integrators, marketing technology firms, hardware and solution providers to deliver next-generation, context-aware mobile engagement solutions.

MOCA_Partner_Program