3 Location-based Marketing Use Cases for Improving the Amusement Park Experience

According to Theme Index and Museum Index Report, the Amusement Park industry grew 4.7% in 2017. Nowadays, Amusement Parks are embracing new technologies and marketing techniques to boost attendance and enrich the visitor’s experience.

By using location-based marketing, amusement parks can deliver personalized recommendations inside and outside the park based on a user’s location and other visitor attributes. Digital managers can send location-aware messages to notify visitors about new attractions and services at the park, the waiting times of the attractions and maps. Amusement apps powered by location data can also help visitors locate specific attractions, restaurants, and services inside amusement park providing a better experience.

Here you have 3 location-based marketing tactics to attract crowds to your amusement park:

1) Engagement inside the Park

Amusement Park Experience

Discover 5 Mobile Enterprise Solutions: MOCA Partners Interview

In the last MWC18 edition we met with some of our Partner and Collaborators and we had the opportunity to interview Pole Star, Ogilvy, Proxera, SlashMobility, and Boira. We talked about who they are, why they decided to work with MOCA and the projects we have with some clients.

If you are interested in Mobile Enterprise Solutions and Retail technology, keep reading because you will discover amazing technologies and agencies. Let’s take a look at these 5 enterprise solutions and their business cases.

moca partners interview

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