Identifying influencers among a group of wireless-subscription subscribers
View Patent ↗An embodiment of the invention is directed to retaining customers for a wireless-service provider (“carrier”). A ratio is calculated based on a number of incoming calls received by a mobile device and a number of outgoing calls originating from the mobile device. The ratio is also based on locations of callers that originated the incoming calls. The ratio is compared to an influencer threshold. When the ratio is greater than the influencer threshold, then a subscriber associated with the mobile device is indicated to be an influencer that potentially affects decisions of other subscribers regarding whether to cancel or maintain their subscriptions with the wireless service. An incentive is provided to the influencer to increase the likelihood that the influencer will retain a subscription with the wireless service, thereby increasing the likelihood that other subscribers who might be influenced by the influencer will retain their respective subscriptions.
1. One or more nontransitory computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, facilitate a method of retaining subscribers of a wireless service, the method comprising:
calculating a ratio based on a number of incoming calls from subscribers received by a mobile device and a number of outgoing calls to subscribers originating from the mobile device, wherein the ratio is also based on locations of subscribers that originated the incoming calls;
comparing the ratio to an influencer threshold;
when the ratio is greater than the influencer threshold, then indicating that a subscriber associated with the mobile device is an influencer that potentially affects decisions of other subscribers regarding whether to cancel or maintain their subscriptions with the wireless service; and
providing an incentive to the influencer to increase a likelihood that the influencer will retain a subscription with the wireless service, thereby increasing a likelihood that other subscribers who might be influenced by the influencer will retain their respective subscriptions.
2. The nontransitory computer-readable media of claim 1 , wherein the number of incoming calls received by the mobile device is determined from a call log.
3. The nontransitory computer-readable media of claim 1 , wherein the number of outgoing calls originating from the mobile device is determined from a call log.
4. The nontransitory computer-readable media of claim 1 , wherein calculating the ratio comprises including in the ratio a number of incoming text messages and a number of outgoing text messages.
5. The nontransitory computer-readable media of claim 1 , wherein calculating the ratio comprises including in the ratio a number of incoming picture messages and a number of outgoing picture messages.
6. The nontransitory computer-readable media of claim 1 , wherein calculating the ratio comprises including a factor based on an average call length.
7. The nontransitory computer-readable media of claim 6 , wherein the factor based on the average call length is inversely proportional to the average call length.
8. The nontransitory computer-readable media of claim 1 , wherein calculating the ratio comprises including a factor based on an outgoing-call count to mobile computing devices of subscribers labeled as influencers and an incoming-call count from mobile computing devices of subscribers labeled as influencers.
9. The nontransitory computer-readable media of claim 1 , wherein indicating that the subscriber is an influencer includes labeling the subscriber an influencer in a list of subscribers.
10. The nontransitory computer-readable media of claim 1 , wherein the influencer threshold is determined experimentally.
11. The nontransitory computer-readable media of claim 1 , wherein the influencer threshold is determined from a model that models behavior of subscribers.
12. The nontransitory computer-readable media of claim 1 , wherein the ratio is also based on geographic proximity of the subscriber with the other subscribers.
13. The media of claim 1 , wherein the calculating, the comparing, and the indicating are performed for a plurality of mobile devices to determine a set of influencers that potentially affect decisions of other subscribers regarding whether to cancel or maintain their subscriptions with the wireless service.