Dynamic Phone Number Tracking for Call Conversion Attribution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing e-commerce transaction tracking technologies are limited in correlating web activity with offline voice-based communication transactions, as they only allow for online tracking and fail to attribute call-based activities to specific online interactions, lacking the capability to capture call and sales data at a 'click-level' without human intervention.
Innovation Solution
A closed-loop system that integrates a dynamically assigned phone number or unique identifier into web-based invitational content, enabling the tracking and monitoring of user interactions and voice communications, automatically associating calls with specific ad campaigns and recording user activities, allowing for precise measurement of advertisement effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If closed-loop e-commerce transaction tracking technologies are used, then online tracking of user behavior is enabled, but the ability to correlate web activity with offline voice-based communication transactions is lost
Solution Approach 1:
The system segments tracking by assigning unique phone numbers to specific ad campaigns, keywords, and landing pages. This segmentation enables the system to track offline call conversions while maintaining online tracking precision, as each segmented phone number acts as a unique identifier linking back to specific online interactions.
Solution Approach 2:
The patent introduces phone numbers as an intermediary element that bridges online and offline tracking. The phone number serves as a mediator that captures offline voice-based communication transactions and links them back to online ad campaign interactions, enabling correlation between web activity and offline transactions.
2Productivity
If traditional online tracking methods are used, then web activity monitoring is achieved, but call-based activity attribution to specific online interactions is lost
Solution Approach 1:
The system implements feedback by capturing call conversion data and feeding it back to attribute offline transactions to specific online interactions. The unique phone numbers provide feedback mechanisms that link call-based activities back to the ad campaigns, keywords, and landing pages that generated them, preventing information loss.
Solution Approach 2:
The patent creates a copy of the online tracking mechanism in the offline domain by using phone numbers that mirror the structure and identification capabilities of online tracking parameters. This copying allows call-based activities to be attributed to specific online interactions with the same precision as online tracking.
3Measurement precision
If manual intervention is used for tracking, then detailed call and sales data can be captured, but automation and scalability are reduced
Solution Approach 1:
The system enables self-service automation by using unique phone numbers that automatically capture and attribute call conversion data without requiring manual intervention. The phone numbers themselves serve as automated tracking identifiers that link offline calls to online interactions, eliminating the need for manual data capture while maintaining detailed tracking precision.
Solution Approach 2:
The patent changes the tracking parameter from manual data entry to automated phone number-based identification. By transforming the tracking mechanism into a parameter-based system using unique phone numbers, the system achieves both detailed data capture and high automation, as the phone numbers automatically encode all necessary attribution information.
Data Source
AI summary
A call conversion tracking system that automatically tracks call-based communications initiated from web-based invitational content id disclosed. The system generates and presents a web-based invitation that includes a dynamically assigned telephone number that is assigned to an anonymous web visitor with advertising metadata that is usually sent to a web server when a user clicks (or taps) an online ad.