



This allows companies to easily and automatically collect and integrate potential customer data from various platforms through these channels. Whether it is the generation or tracking of potential customers, the behavioral data of all potential customers can be integrated in an automated way to facilitate unified management and analysis by enterprises. In particular, each potential customer will be assigned a unique identifier ttoclid, making data tracking and management more accurate and efficient, and achieving refined data management and tracking.


After each potential customer is generated, the Leadbox system will generate a ttoclid identifier containing UTM parameters, which includes important data such as access time, residence time, and browser information. This enables companies to conduct in-depth tracking and analysis of customer behavior based on UTM parameters and better understand customer needs and behavior patterns. This can not only help companies formulate targeted remarketing strategies, but also make marketing activities more targeted and effective, improving the accuracy of the overall marketing strategy.
When the sales team updates the sales stage of any potential customer in the Leadbox system, these stage events will be passed back to the TTO Tag system based on the ttoclid identity ID, and further sent to multiple advertising and statistics platforms, such as Google Analytics, Facebook Pixel, Google Ads Conversions, Bing UET, etc. This instant data return and synchronization not only ensures the accuracy and timeliness of UTM tracking, but also enables companies to perform data analysis in real time to optimize marketing strategies and improve overall marketing effects.


When a potential customer changes from "discovering potential customers" to "creating potential customers", the system will automatically match the preset ImportedLead event and transmit the relevant data back to the TTO Tag. TTO Tag will then automatically transmit this data to relevant advertising platforms, which will analyze it according to their respective attribution models and use AI technology to help find potential customer groups that can produce the same type of behavior. Through this automated process, companies can not only achieve accurate UTM tracking, but also optimize advertising strategies and improve advertising effectiveness and ROI.