In today's content-rich world, consumers are overwhelmed by the choice available to them on TV, Video on Demand, etc. Initially this is exciting for the new consumer, but it rapidly becomes an irritating experience as, each time, they click through channel-after-channel on the EPG or wander through the VOD library.

The result - people stick to watching what they already know, and after a while begin to question whether they are getting value for their subscription money. In this situation customer retention becomes a problem, and raising ARPU similarly challenging. The fact is consumers cannot select what they don't know. Intelligent Navigation powered by personalized Recommendations solves this problem, thereby improving retention and raising ARPU.

The ThinkAnalytics Search and Recommendations Engine provides a powerful, scalable, real-time and comprehensive multi-content/multi-platform Recommendations Engine supporting across content delivery of recommendations and search to multiple platforms such as the set top box, mobile, web, smart TV, games consoles, and others.

To improve customer retention and grow ARPU, it is essential to expose customers to a wider range of content than they would normally discover for themselves.

ThinkAnalytics engine's ability to personalize recommendations far exceeds the ability of marketing promotions/popularity/collaborative filtering alone to impact viewing behaviour. Results reveal that after deploying ThinkAnalytics across millions of households, the amount of viewing time per subscriber increases by 20-50 per cent. In parallel, at the same point, the number of channels the average subscriber watched increased by 25-35 per cent.

In addition to the ThinkAnalytics recommendations platform we also have Intelligent Search to complement its use. By adding Search to Recommendations the viewer gets the best of both worlds with fully personalized and appropriate recommendations plus the ability to search for specific items of interest and content, again with added personalisation and multi-language support.

ThinkAnalytics has considerable experience working with major and regional metadata providers worldwide. Working with such vendors has given ThinkAnalytics a leading position, not just in Search and Recommendations, but also in local Metadata Enhancement of their offerings.

The Recommendations Engine metadata enrichment process supports 40 languages and enables automatic classification of your content, meaning that you can benefit from no ongoing fees for external manual classification services, syndicated programs can be automatically classified in a consistent manner and one-off programs are also easily classified, in addition to your ability to retain editorial control of the automated classifications.

Power is nothing without control and algorithms alone do not control your business. Flexible Business Rules give you control over your operational analytics environment, allowing business and customer centric rules to be captured, managed and applied both online and in batch.

This ensures the system can balance strong consumer centric objectives with those of the business's marketing objectives. The ThinkAnalytics Recommendations engine provides prioritisation of content through the use of the fully flexible Business Rules Management System. The flexible business rules engine can be used to define a variety of rules to filter, prioritise, and promote as required.