Contextually decide and present the optimal

The world today is driven by consumer choice and self-research-based purchasing decisions. We shop online, we watch TV on demand and, when we want advice, we turn to Google. Digital channels such as mobile apps and self-care sites have therefore become increasingly important to a Contextually decide and present the optimal or Loyalty Strategy for today’s Communications Service Providers (CSPs).

These are not channels for the traditional push/outbound marketing systems. The trigger for the decision to present an offer to your customer needs to be at the moment the customer initiates the engagement on the channel and you need to be ready to give the customer the right options in context with their current status. 

Our powerful Evolution Platform has been built using the latest big data technologies in order to have the ability to stream data from previously not feasible data sources for traditional Campaign Management systems such as Deep Packet Inspection (data usage by content) and the VLR (Location). We’re able to integrate within your environment to combine this information with our 360° Customer Profile for real-time, advanced context-decisioning that lets you pick out the best offers for the customer who has engaged on the channel using advanced Machine Learning Algorithms.
With Evolution, the decision is made in real-time at the moment the customer enters the channel. If the same customer looks at the menu again later in the day when their context has changed, they’ll see different offers. Evolution scores, ranks and filters all offers that the customer is eligible for in real-time, using decisioning influencers to pick out the optimal offers:

You can set up multiple Contextually decide and present the optimal in order to present offers to your customers, and we can integrate multiple Digital (App, Website), Text (USSD, SMS, Chatbots) and Audible (IVR, Home Assistants) channels to the same presentation strategies for a consistent Omni-channel customer experience.