Use Cases

Sophisticated Real-Time Geotargeting & Context-Driven Marketing

Build Complex Context-Driven Marketing Logic Using Geolocation and Other Real-Time Data


Mobile location awareness and geotargeting is becoming a must-have for retailers, especially because of the technology’s help in driving traffic into stores, increasing consumer engagement, and delivering contextually relevant content and personalized offers. Good marketers know that great geotargeting drives better results with any medium – from a billboard directing you to a nearby store to a geofence that triggers a tailored offer.


Geotargeting is one of the most powerful tools for marketers — it points the marketer to an interested consumer, and the consumer to where they can take action. By leveraging location, marketers are able to segment consumers and offer them relevant and personalized content. However, if a coupon is the best that you can offer, you’re in trouble. Sure, a discount is a compelling incentive to choose one brand over another, but it’s almost never the key motivator triggering the purchase. And discovering the correct creative for the target audience, be it educational, informational, promotional or coupons, is a significant challenge.

Geotargeting marketing systems use geolocation to understand customer location — right now. But you’re challenged to correlate this knowledge with other real-time data streams and with enterprise contextual data sources such as location over time, purchasing history, web activity and inventory.

Striim Solution

Striim empowers you to create sophisticated and flexible context-driven marketing. Striim assimilates your real-time geolocation data with data from a wide variety of real-time sources, such as market data, Internet of Things (IoT), mobile devices, sensors, log files, social media and database transactions, along with existing enterprise data, such as customer history, product inventories and deliveries. Using a simple GUI, you can rapidly and easily create custom enterprise-grade geotargeting applications.

Using all information available to you allows you to deliver the most appropriate creative to the consumer at the right time and place, delivering relevant and essential marketing. By analyzing real-time location with recent location history, you could identify customers that oscillate between displays for two different brands, and provide comparison data or offers at the appropriate location. Customers that pause at empty shelves could be presented with inventory availability for other locations or one-click purchase from the website, integrating the brick-and-mortar with the virtual shopping experience and creating the endless aisle where merchandise is always available. Offer customers the next available alternative online and what is currently available in the store. Hotels can integrate real-time location with IoT sensor data and knowledge of past behavior to automate check-in/checkout, unlock doors, and preset the environment, ensuring rooms are at the preferred temperature.


Using Striim to aggregate, correlate, and analyze real-time geolocation with real-time data streams and enterprise data, you can develop a very detailed and accurate picture of the customer and purchasing intent. Leveraging this knowledge, you can deliver the most appropriate and context-sensitive marketing, motivation customers to take action.

Striim provides an environment where you can quickly develop an integrated ecosystem of custom geo-targeted marketing applications. The wealth of different data sources that you can assimilate and analyze in real-time enables you to create advanced decision paths, customizing and personalizing your response to customers’ current location and past and present behavior. Delivering the truly personalized experience engenders increases customer satisfaction and enhanced customer engagement, unlocking customer self-selection, where the customer views geolocation and your applications as assets.


  • Retail
  • Hospitality

Realtime Use Cases

  • Context-driven marketing
  • Endless Aisle – integrating the retail and online shopping experience
  • Personalized customer experience management (CXM)

Business Impact

  • Realtime geo-targeted marketing
  • Higher customer satisfaction
  • Increased customer engagement

Data Source

  • Realtime geolocation
  • Internet of Things (IoT) sensors
  • Enterprise context sources
  • Log data
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