Real-Time Collection, Enrichment and Analysis of Set-Top Box Data

2 Minute Read

Competition is stiff. With the onset of Internet protocol TV and “over the top” technology, satellite, telco and cable set-top box providers are scrambling to increase the stickiness of their subscription services. The best way to do this is to provide real-time context marketing for their set-top boxes in order to know the customer’s interests and intentions immediately, and tailor services and offers on-the-fly.

In order to make this happen, these companies need three things:

  • They need to be able to ingest huge volumes of disparate data from a gazillion set-top boxes around the world.
  • They need to be able to – in real time – enrich that data with customer information/behavior and historical trends to assess the customer’s interest in-the-moment.
  • They need to be able to map that enriched data to a set of offers or services while the customer is still present and interested.

The Striim platform helps companies deliver real-time, context marketing applications that addresses all three phases of interaction and analysis. It collects your real-time set top box clickstream data and enriches it with a broad range of contextual data sources such as customer history and past behavior, geolocation, mobile device information, sensors, log files, social media and database transactions.

With Striim’s easy-to-use GUI and SQL-like language, users can rapidly create tailored enterprise-scale, context-driven marketing applications.

The aggregation of real-time and historical information via the set-top box makes it possible for providers to know who is watching right now, where they are, and what their purchasing patterns look like. With this context, providers can instantly deliver the most relevant and effective advertising or offer while the customer is still “present,” giving the provider the best change of motivating the customer to take immediate action.

With the Striim platform, users can deliver a streaming analytics application that constantly integrates real-time actions and location with historical data and trends. Once the customers intentions are identified, they can easily take action to either promote retention or incentivize additional purchases.

Detecting behavior that would be out-of-the-norm may signal a completely new set of advertising opportunities. For example, if a working Mom is at home watching the Disney Channel, it might indicate she is home with a sick child. With streaming analytics and context marketing, this scenario would be detected immediately, and could trigger a set of ads within the customer’s video stream that provide offers for children’s cold and flu medicine.