Abstract: A call tracking system and method that uses a pooling algorithm to manage a pool of telephone numbers that are utilized in advertisements. The pooling algorithm allows adjustments to be made to the pool in order to achieve a desired degree of call tracking accuracy performed by the system. The pooling algorithm may adjust the pool in terms of size, quality, or other metric, and assign phone numbers so as to meet the desired accuracy requirements. While additional numbers in a pool may increase accuracy, fewer numbers result in lower cost, and a balance may be struck based on the requirements of an advertiser. When a phone number is to be provided for an advertising campaign, the phone number may be selected from the pool randomly, in round-robin fashion, or according to criteria related to expected accuracy.

Abstract: A call tracking system and method that uses an automated filtering function to increase accuracy of call tracking. In some embodiments, the system utilizes a spam blocking module, such as a challenge-response test (e.g., a CAPTCHA), a blacklist for callers sharing certain criteria indicative of robo-dialed or spam calls, or other similar spam filter to block unwanted calls from being routed to an advertiser. By using a spam blocking module, the amount of noise in the call tracking system can be reduced and the attribution of calls correspondingly more accurate. In some embodiments, an interactive voice response (IVR) module is utilized to reduce the noise in the system by filtering or blocking unwanted calls. By utilizing an automated filtering function, the disclosed system improves the accuracy of call tracking and allows advertisers to better track the performance of advertising campaigns that they undertake.