Five AI agents to reduce paid search waste.
I built agents to identify bidding inefficiencies across a $2.3M advertising budget, with recommendations representing an estimated $309K in annual savings.
I’m Abram Gregory. I’ve built AI agents to reduce advertising waste, modeled better lender matches, and redesigned customer journeys.
Incoming Management Trainee · McMaster-Carr
Management Development Track · January 2027
Estimated annual savings from AI-assisted paid search improvements.
Estimated annual savingsIPA Case Competition: financing a $20B AI expansion.
Competition placementModeled revenue lift through smarter lender routing.
Modeled opportunityThe problem, my contribution, and the result.
I built agents to identify bidding inefficiencies across a $2.3M advertising budget, with recommendations representing an estimated $309K in annual savings.
Search data showed how customers looked for services. I used it to reshape content and improve the path from a search result to a business inquiry.
I analyzed roughly 100,000 applications to compare three lenders, then modeled how different routing choices would change expected revenue.
In a hypothetical investment case, I compared new debt with an infrastructure partnership. The deciding issue was when the debt arrived relative to the revenue.
A portfolio balance answers how much someone has. Our redesign addressed the more personal question: how much can I spend?
Our proposed campaign paired recipient stories with direct registration links, giving interested students a clear next step while the message was still in front of them.
I developed a search strategy for an internet marketplace where prospective customers encountered a negative search result.
I researched local issues, interviewed municipal officials, and translated the findings into briefings and voter-facing messages for a city council campaign.
Abram Gregory$899K in incremental revenue and $309K in estimated savings across two internet marketplace projects.
I build tools that reduce manual work, improve how customers find and use services, and turn research into decisions people can act on.
I’ve worked in paid search for an internet marketplace, loan matching for a personal loans business, and performance marketing for commercial and residential roofing. At Vanguard, I helped lead research and redesign strategy to make retirement information easier to understand.
My operating experience also includes leading publicity for the Duke–UNC China Leadership Summit and supporting a 900-attendee fundraiser for the North Carolina Democratic Party. For Rob Baumgart’s city council campaign, I researched local policy, interviewed municipal officials, and wrote weekly briefs that informed campaign messaging.
In January 2027, I’ll join McMaster-Carr’s Management Development Track as a Management Trainee. I’m completing my B.A. in Political Science and minor in Data Science at UNC–Chapel Hill in December 2026.
More on LinkedIn ↗On customer loyalty, brand trust, and political persuasion.
I’m interested in how businesses use AI, improve operations, and make better investment decisions.