Motive Optimization

Motive Optimization

Achieve higher profitability

Motive Optimization solutions help service providers improve return on assets by systematically understanding, anticipating and influencing customer behavior. The offers leverages data from customers, devices, applications and the network performance to better segment audiences, predict behavior, forecast demand and stimulate profitable usage.

Enhance loyalty and yield

Motive Optimization solutions empower service providers to take a positive and proactive approach to yield management and loyalty. Using these solutions, providers can examine trends, experiences and usage patterns on a highly personal level. They can then give customers choices that enhance quality of experience (QoE) while at the same time that improve asset utilization such as network capacity.

Motive Optimization solutions use analytics to help providers make smart choices based on CLV and propensity to churn. These analytics can:

  • Loyalty and campaign management: Reward customers who accept new ways of consuming services. Improve retention with personalized incentives and increase yield with campaigns that manage demand.
  • Policy-controlled content delivery: Partner with content providers willing to sponsor content delivery to targeted segments of users. Open new revenue streams and offer differentiated services to consumers.
  • Bill Shock Prevention: Monitor a customer’s account for abnormally high balances in special conditions such as international roaming. Trigger advance warning alerts offering transparency and choices that prevent undesirable surprises.
  • Dynamic pricing for data: Offer discounted rates to selected consumers to use the network during off-peak times. Increase off-peak usage for higher yield and ease network peak-time for lower costs.

Make smarter use of data

Today’s network control policies focus on network metrics such as congestion. Service providers need data-driven policies that can keep high-value customers on board.

Motive Optimization solutions use analytics to help providers make smart choices based on CLV and propensity to churn. These analytics can:

  • Forecast demand for data by analyzing historical usage behavior
  • Predict where congestion will occur and which customers will be affected
  • Help service providers take action based on customer metrics such as CLV and propensity to churn and not only network metrics

By making smarter use of data and analytics, service providers can develop network policies that distribute demand, prevent congestion, and offer a better QoE.

Turn insights into action

Customers can change their behavior. But it takes more than customer intelligence to make it stick. Motive Optimization.

Service providers do not have to sacrifice the bottom line to deliver a superior QoE. With a positive and proactive approach to customer experience optimization, service providers can deliver more for less and inspire greater customer loyalty.