Optimized dynamic number insertion (DNI)

1. A method for optimizing a number pool for dynamic number insertion (DNI) used for call attribution, the method comprising:

analyzing historic utilization of a DNI number pool;

determining a plurality of distinguishable consumer parameters having a business-positive correlation to a subset of numbers from among the pool of numbers;

identifying more optimum DNI number characteristics corresponding to the plurality of distinguishable consumer parameters and the subset of numbers;

modifying the DNI number pool based on the more optimum DNI number characteristics; and

modifying DNI number selection rules based on the modified DNI number pool.

2. The method of claim 1 , further comprising analyzing aggregate context information corresponding to the historic utilization of the DNI number pool, and wherein determining a plurality of distinguishable consumer parameters having a positive correlation to a subset of numbers from among the pool of numbers is based at least in part on the analysis of the context information.

3. The method of claim 1 , wherein modifying the DNI number pool comprises the addition of at least one new number to the DNI number pool.

4. The method of claim 3 , wherein modifying DNI number selection rules comprises the addition of a rule for utilizing the at least one new number added to the DNI number pool.

5. The method of claim 1 , wherein modifying DNI number selection rules comprises the addition of a rule for utilizing the at least one new number for more than one channel.

6. The method of claim 1 , wherein analyzing historic utilization of a DNI number pool includes aggregate information on cross-channel call attribution.

7. The method of claim 1 , further comprising modifying a cross-channel call attribution rule based at least in part on the analysis of the context information.

8. A system for optimizing a number pool for dynamic number insertion (DNI) used for call attribution, the system comprising:

a memory;

a processor operatively coupled to the memory for:

analyzing historic utilization of a DNI number pool;

determining a plurality of distinguishable consumer parameters having a business-positive correlation to a subset of numbers from among the pool of numbers;

identifying more optimum DNI number characteristics corresponding to the plurality of distinguishable consumer parameters and the subset of numbers;

modifying the DNI number pool based on the more optimum DNI number characteristics; and

modifying DNI number selection rules based on the modified DNI number pool.

9. The system of claim 8 , further comprising analyzing aggregate context information corresponding to the historic utilization of the DNI number pool, and wherein determining a plurality of distinguishable consumer parameters having a positive correlation to a subset of numbers from among the pool of numbers is based at least in part on the analysis of the context information.

10. The system of claim 8 , wherein modifying the DNI number pool comprises the addition of at least one new number to the DNI number pool.

11. The system of claim 10 , wherein modifying DNI number selection rules comprises the addition of a rule for utilizing the at least one new number added to the DNI number pool.

12. The system of claim 8 , wherein modifying DNI number selection rules comprises the addition of a rule for utilizing the at least one new number for more than one channel.

13. The system of claim 8 , wherein analyzing historic utilization of a DNI number pool includes aggregate information on cross-channel call attribution.

14. The system of claim 8 , further comprising modifying a cross-channel call attribution rule based at least in part on the analysis of the context information.

15. A non-transitory computer-readable storage medium comprising computer-readable instructions for optimizing a number pool for dynamic number insertion (DNI) used for call attribution, the computer-readable instructions comprising instructions that cause a processor to:

analyze historic utilization of a DNI number pool;

determine a plurality of distinguishable consumer parameters having a business-positive correlation to a subset of numbers from among the pool of numbers;

identify more optimum DNI number characteristics corresponding to the plurality of distinguishable consumer parameters and the subset of numbers;

modify the DNI number pool based on the more optimum DNI number characteristics; and

modify DNI number selection rules based on the modified DNI number pool.

16. The computer-readable medium of claim 15 , further comprising instructions for analyzing aggregate context information corresponding to the historic utilization of the DNI number pool, and wherein determining a plurality of distinguishable consumer parameters having a positive correlation to a subset of numbers from among the pool of numbers is based at least in part on the analysis of the context information.

17. The computer-readable medium of claim 15 , further comprising instructions whereby modifying the DNI number pool comprises the addition of at least one new number to the DNI number pool.

18. The computer-readable medium of claim 17 , further comprising instructions whereby modifying DNI number selection rules comprises the addition of a rule for utilizing the at least one new number added to the DNI number pool.

19. The computer-readable medium of claim 15 , further comprising instructions whereby modifying DNI number selection rules comprises the addition of a rule for utilizing the at least one new number for more than one channel.

20. The computer-readable medium of claim 15 , further comprising instructions whereby analyzing historic utilization of a DNI number pool includes aggregate information on cross-channel call attribution.