Relevant Recommendation, Personalization and Discovery from Mobile Location Data

Mobile location data is the richest data source currently available for understanding consumer behavior. Through mobile phones, navigation devices and vehicles, location data is already being generated by half the people on our planet. Macrosense analyzes large amounts of this mobile location data in real-time.

Macrosense enables companies to understand customers and anticipate needs in order to deliver accurate recommendation, personalization and discovery – better than ever before – without retaining customers' original location data.

Macrosense enables companies to:

• Better understand customers using existing data, without requiring
  any change in behavior
  
  
• Segment and cluster customers into marketing groups based on actual
  unbiased behavior with unprecedented accuracy and relevance
  
  
• Personalize recommendations and advertisements based on popularity
  with "people like me"
  
  
• Automatically find and present the most relevant suggestions to a
  particular audience
  
  
• Identify group influencers
  
  
• Understand the significance of particular behaviors in predicting
  consumer response
  
  
• Understand modality and intent in real-time, i.e. car shopping or nightlife
  
  
• Measure the effect of marketing spend on behavior

PlaceGraph technology, integrated into the Macrosense platform, allows companies to take advantage of the data-driven approach to extract value from their location data, one of the most unbiased and rich sources of intelligence on human behavior.

Key Features of Macrosense

Real-Time Activity Analysis
The Macrosense platform cleans, processes and analyzes live incoming data against years of historical learning – and other external sources – to deliver alerts of unusual activity and customer intelligence in real-time. Macrosense databases are uniquely designed to process spatiotemporal data efficiently for rapid decision-making support.

Powerful Analytics
Sense Networks has created powerful analytical models that are applied at each step in the data flow. From spatial data cleaning algorithms to identify and correct errors in raw location data streams to machine learning-driven behavioral analytics to measure and predict where people are and where they will go, Macrosense is tuned to transform raw location data into meaningful intelligence. The powerful algorithms continuously learn as new data arrives into the system.

Historical Data Normalization
The Macrosense platform already contains years of rich historical location data learning that serves as a benchmark for real-time data analysis. Historical context is critical to fully understanding and identifying trends in emerging temporal data sources.

Contextual Data Inputs
Contextual data such as demographics, weather, economic information, sales, points of interest and other external data help companies interpret location information to answer industry specific questions. The Macrosense platform normalizes data according to key data sets – including proprietary sets generated from historical data using machine learning – and also allows users to input their own data.

Flexible Interfaces and Visualizations
The platform configures to interface with ad networks, search, map-based programs, enterprise-grade data analysis tools and custom applications. Macrosense pushes data streams to websites or mobile applications for real-time display, or it acts as a real-time service in support of other processes.