Make contextual recommendations

	Promote	Launch real time promotions based on usage
	Package & Bundle	Define and launch targeted content packages and service bundles
	Communicate	Develop a personal dialogue with customers
	Advertise	Deliver personalized ads based on user behavior

Contextual Recommendations
Pontis Contextual Recommendations provide relevant suggestions to customers at the most effective time to impact purchasing behavior. Using advanced algorithms, the Pontis system supports customer recommendations both online and via customer support representatives, as well as recommendations to marketers during the offer design process.

Improving the Shopping Experience with Recommendations
Recommendations are a time-tested means of improving the purchasing experience for customers while driving sales. In the world of digital media, the recommendation engine takes the place of an experienced online sales representative, interacting with customers, learning their preferences, and responding with relevant information and personalized recommendations.

Proven Business Benefits
Recommendation engines make a proven impact on the bottom line, driving revenues and converting browsers to buyers. Recommendations can also be used to promote new services and to shape customer behavior. Most of all, satisfied customers, who quickly find what they want, come back for more.

Pontis Recommendations for Customers
Pontis automates sales and marketing processes across platforms and channels, to provide intelligent recommendations in the context of current and past behavior. For example, Pontis can recommend a movie to a customer who is browsing the Video on Demand listings based on pictures he downloaded to his phone.

Pontis leverages accumulated usage data, profiles, preferences, and real time behavioral triggers as well as CSR and provisioning events to maximize the relevancy of each recommendation. This process is based on advanced methodologies and algorithms to provide marketers with a rich toolkit:

• People who bought this, also bought that
• Popularity indicators
• Item-based rules
• Manually defined rules

Pontis Recommendations for Marketers
Pontis Contextual Recommendations work throughout the offer design and creation process, helping marketers to create compelling propositions for customers:

• Bundles and Packages: Recommend a content package or service bundle based on past and current usage.
• Cross-Sell Offers: Recommend good candidates for an additional product or service to purchase, based on the selected purchase item and indicators such as popularity, likelihood to buy etc.
• Buy One Get One offers: Provide online usage information such as rankings to assist marketers in designing promotions that increase sales while promoting less-popular items.
• Target Segments: Recommend the most likely segment to respond to an offer, based on usage analysis of the content or service.

Pontis Recommendations for Customer Service
Interactions with Customer Service are an important opportunity to make recommendations. Pontis Contextual Recommendations provide Customer Service Representatives with relevant recommendations based on analysis of the customer, their current issue, and past behavior.