Abstract
Lead enrichment - enhancing or augmenting existing marketing lead data with additional information - helps improve targeting and personalization in marketing campaigns. Lead enrichment involves augmenting data using third-party databases to enrich existing lead profiles, which when performed manually has a long turnaround time due to the requirement of substantial manual effort. This disclosure describes techniques that automate the lead enrichment process by extracting data from third-party databases by querying such databases via appropriate application programming interface (API) calls that specify the available lead information. The databases can be accessed based on user-specified priority and complete/partial enrichment achieved by use of an advanced machine model/ large language model in matching leads and retrieving data. The techniques can automatically enrich a substantial portion of lead enrichment requests and perform partial enrichment for additional requests, thus enabling reduction in manual effort. Complementary contacts for a specific lead can also be identified through generative artificial intelligence (Gen AI). Automation of lead enrichment as described herein can improve efficiency of manual processes and also achieve high accuracy.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
n/a, "Lead Enrichment Automation", Technical Disclosure Commons, (March 08, 2024)
https://www.tdcommons.org/dpubs_series/6762