Mobile World Congress 2014 – InnoQuant presents the pre-lunch of MOCA platform for Proximity Marketing. Barcelona 24th – 27th February 2014. Hall 8.1, Stand 8.1K66

Day by day, data is generating through our mobile devices. Each interaction reflects our behavior, our tastes and who we are. We are part of a great-connected world, which generates large amounts of data minute by minute. And it is there, in that data, where you can find the key to connect with customers and users. A key that is crafted and perfected using Big Data techniques. You will find the essence in real time. To understand your users is crucial, for you and for them. Communicate with your users, at the right time, at the right place. Give them information they need and they will want to remain a part of what you have build. You already known who they are, so keep gaining their confidence. Install iBeacons for indoor location and deliver unique experiences that users will want to have again and again. Proximity experiences.

It is becoming increasingly clear that the future of mobile marketing involves using the real-world context in which consumers want to experience personalized marketing. Aware of this, we have created MOCA, mobile marketing solution in real time, committed to this future. MOCA is a back-end platform for mobile applications that allows application developers and brands to create experiences for their customers using iBeacons.

MOCA was designed to obtain more precise information about how users interact and engage with their brands through mobile apps. MOCA speeds up the creation, management and analysis of personalized marketing campaigns. Based on Big Data Analytics technology, our product allows your brand to take your mobile marketing to the next level via push messaging and wherein the real time and personalization are the key elements.

Now you can deliver to your users something that goes beyond. Be part of the brands that understand, respect and value their customers. Deliver proximity experiences. Use MOCA.

M. Fernanda

February 21, 2014

3 uses for iBeacons.

Technical simplicity, ease of deployment and price are the keys that are placing iBeacons under the spotlight in many different industries. While the art is shaped and other clear uses are discovered, the 3 most immediate uses of this emerging technology are as follows:

1. Notifications / actions triggered by proximity

SPAM in the physical world come true. Substitutes of the flyer guys in the street. This is the immediate thought of customers. Contextual notifications in the real world, if we go to the most rigorous definition. The idea is that when approaching a certain distance from a beacon, we get a notification about something, such as the availability of a discount coupon.

But it doesn’t all have to be commercial, or for marketing or statistical, or for tracking of users, etc. This goes much, much further: to be able to know our position relative to a beacon and to give us the possibility of using these events to perform other actions, both in the real and virtual world. As the IFTTT guys do with our virtual activities, and its latest support to location as a “this” (trigger), for a “that” (an action).

 

IFTTT

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Iván González

December 24, 2013

Silent Push Notifications: evolution of Push technology

Captura de pantalla 2013-11-22 a la(s) 15.47.36

App udates its data after user interaction with a push notification

The push concept was born in order to prevent the client from having to constantly request data from a server, but instead, it is the server who initiates the request, then sends the information to the client. This paradigm is extremely versatile in the scenario of mobile devices: if each application had to constantly request data from a server, then all applications awaiting for information would have to have at least one active process running, which wastes device resources, losing performance and impacting directly on the battery consumption.

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Iván González

December 4, 2013

Analysing the data of apps, a technological challenge.

Although apps are not a novelty, we continue being fascinated by them not only for their utility but also for the way that the science and technology helped to bring them here. Apps use the mobile device’s own sensors to provide greater benefits to the user. These sensors, which are based on centuries of research, are now available to us only with a “touch”. GPS, video, accelerometer, temperature sensors, pressure and proximity, among others, are joined to provide the user experience. Simplicity is built on the complexity and knowledge. And this is just the beginning.

Mobile devices are with us 24 hours a day with their sensors and their apps, producing large amounts of data (Big Data), uninterrupted. Mobile and personal apps and data are a great opportunity for understanding the users’ habits, tastes and preferences. For this it is necessary to extract the information from the data. Here begins a new challenge: Building useful information structures from Big Data to the users’ knowledge for a more precise and personalized product and service.

To illustrate this challenge imagine a Barcelona app, which is used by tourists when traveling to the Las_appsDibujocity. This GPS app is crucial to knowing where the tourists are at all times, and so suggests sites and recommends activities. Additionally, the camera and other sensors are in constant use, some more often than others.

Suppose further that for 1 week of summer, 10,000 tourists are using the app at the same time. Every 15 minutes, every app generates a geo-location event. This means that in one week, the Barcelona app generates more than 6 million single events geo-locations! Is where powerful analytics Big Data in real time is needed.

Once these data analytics are recognized, the app could suggest an itinerary to every tourist in the city, using push notifications, keeping in mind their budget and tastes. And why not, suggest itineraries taking into account the behaviour of other people like them. The result of the analysis could allow the user experience to be unique, offering accurate information, at the right time, in the right place.

Closing the cycle and being able to maximize the user experience is also required technology. The analytics of large volumes of data (Big Data Analytics) is the only means of providing quality products and services based on information extracted from the data.

In InnoQuant we are passionate about data analytics and technology. We want to share our passion with you, and we have built MOCA an MBaaS (Mobile Backend as a Service) platform, to offer the world our Big Data Analytics real-time mobile data.

M. Fernanda

August 1, 2013