US2018158074A1PendingUtilityA1

Methods, systems and apparatus to improve the efficiency of calculating a customer retention rate

Assignee: NIELSEN CO US LLCPriority: Dec 7, 2016Filed: Dec 7, 2016Published: Jun 7, 2018
Est. expiryDec 7, 2036(~10.3 yrs left)· nominal 20-yr term from priority
G06Q 30/0201G06Q 10/067
58
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Claims

Abstract

Methods, systems and apparatus to improve the efficiency of calculating a customer retention rate are disclosed herein. An example apparatus described herein that may be implemented to calculate a customer retention rate includes a retention rate model generator to generate a baseline retention rate model based on survivability data associated with an observed duration of interest, a shifted-beta-geometric distribution generator to generate a shifted-beta-geometric distribution model based on the survivability data, a model modifier to modify the baseline retention rate model based on the shifted-beta-geometric distribution model to create a modified retention rate model, and a model comparator to reduce a computational burden of calculating the customer retention rate by merging the modified retention rate model with the baseline retention rate model to generate a merged shifted-beta-geometric model, the merged shifted-beta-geometric model including a shifted-beta-geometric model parameters to determine the customer retention rate.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An apparatus to calculate a customer retention rate, the apparatus comprising:
 a retention rate model generator to generate a baseline retention rate model based on survivability data associated with an observed duration of interest;   a shifted-beta-geometric distribution generator to generate a shifted-beta-geometric distribution model based on the survivability data;   a model modifier to modify the baseline retention rate model based on the shifted-beta-geometric distribution model to create a modified retention rate model; and   a model comparator to reduce a computational burden of calculating the customer retention rate by merging the modified retention rate model with the baseline retention rate model to generate a merged shifted-beta-geometric model, the merged shifted-beta-geometric model including first and second shifted-beta-geometric model parameters to determine the customer retention rate.   
     
     
         2 . The apparatus as defined in  claim 1 , further including a customer data storage to store customer data, including survivability data. 
     
     
         3 . The apparatus as defined in  claim 2 , further including a survivability data retriever to retrieve customer survivability data from the customer data storage. 
     
     
         4 . The apparatus as defined in  claim 1 , further including a parameter estimator to estimate the shifted-beta-geometric model parameters based on the merged shifted-beta-geometric model. 
     
     
         5 . The apparatus as defined in  claim 1 , further including a retention rate estimator to calculate the retention rate based on the shifted-beta-geometric model parameters and the merged shifted-beta-geometric model. 
     
     
         6 . The apparatus as defined in  claim 1 , wherein the model comparator further includes:
 a parameter solver to solve the shifted-beta-geometric model for one of the shifted-beta-geometric model parameters;   a variable definer to define a survivability variable related to the survivability of a customer based on the merged shifted-beta-geometric model;   a simplifier to substitute the survivability variable into the shifted-beta-geometric model to simplify the shifted-beta-geometric model;   a linear relationship definer to establish a linear relationship between a first one of the shifted-beta-geometric model parameters and a second one of the shifted-beta-geometric model parameters;   a matrix definer to define a matrix based on the linear relationship between the first and second shifted-beta-geometric model parameters; and   an equation generator to generate a system of equations based on the matrix to be implemented to determine the customer retention rate.   
     
     
         7 . The apparatus as defined in  claim 6 , wherein the system of equations is derived from the matrix. 
     
     
         8 . A computer-implemented method to calculate a customer retention rate, the method comprising:
 generating, by executing an instruction with a processor, a baseline retention rate model based on survivability data associated with an observed duration of interest;   generating, by executing an instruction with the processor, a shifted-beta-geometric distribution model based on the survivability data;   modifying, by executing an instruction with the processor, the baseline retention rate model based on the shifted-beta-geometric distribution model to create a modified retention rate model; and   reducing a computational burden of calculating the customer retention rate by merging, by executing an instruction with the processor, the modified retention rate model with the baseline retention rate model to generate a merged shifted-beta-geometric model, the merged shifted-beta-geometric model including a shifted-beta-geometric model parameters to determine the customer retention rate.   
     
     
         9 . The method as defined in  claim 8 , further including retrieving customer survivability data from a customer data storage. 
     
     
         10 . The method as defined in  claim 9 , further including estimating the shifted-beta-geometric model parameters based on the merged shifted-beta-geometric model. 
     
     
         11 . The method as defined in  claim 8 , further including calculating the retention rate based on the shifted-beta-geometric model parameters and the merged shifted-beta-geometric model. 
     
     
         12 . The method as defined in  claim 8 , further including defining a survivability variable related to the survivability of a customer based on the merged shifted-beta-geometric model. 
     
     
         13 . The method as defined in  claim 12 , further comprising establishing a linear relationship between a first one of the shifted-beta-geometric model parameters and a second one of the shifted-beta-geometric model parameters. 
     
     
         14 . The method as defined in  claim 13 , further comprising defining a matrix based on the linear relationship between the first and second shifted-beta-geometric model parameters. 
     
     
         15 . The method as defined in  claim 14 , further comprising generating a system of equations to be implemented to determine the customer retention rate. 
     
     
         16 . A tangible machine readable storage medium comprising instructions that, when executed, cause a machine to at least:
 generate a baseline retention rate model based on survivability data associated with an observed duration of interest;   generate a shifted-beta-geometric distribution model based on the survivability data;   modify the baseline retention rate model based on the shifted-beta-geometric distribution model to create a modified retention rate model; and   reduce a computational burden of calculating a customer retention rate by merging the modified retention rate model with the baseline retention rate model to generate a merged shifted-beta-geometric model, the merged shifted-beta-geometric model including a shifted-beta-geometric model parameters to determine the customer retention rate.   
     
     
         17 . The tangible machine readable storage medium of  claim 16 , wherein the instructions, when executed, cause the machine to retrieve customer survivability data from a customer data storage. 
     
     
         18 . The tangible machine readable storage medium of  claim 17 , wherein the instructions, when executed, cause the machine to estimate the shifted-beta-geometric model parameters based on the merged shifted-beta-geometric model. 
     
     
         19 . The tangible machine readable storage medium of  claim 16 , wherein the instructions, when executed, cause the machine to calculate the retention rate based on the shifted-beta-geometric model parameters and the merged shifted-beta-geometric model. 
     
     
         20 . The tangible machine readable storage medium of  claim 16 , wherein the instructions, when executed, cause the machine to generate a system of equations to be implemented to determine the customer retention rate.

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