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Aaron May

Work

Three things I built. Each is written the same way: the problem, what I built, the result, and how it was measured where I can say so.

LeadAttractor

Founder and Lead Engineer, June 2023 to now

leadattractor.ai

Problem

Real estate investors pay for leads and lose them to slow replies. Older leads sit in the CRM untouched.

What I built

A lead handling system on a white-label CRM. Every new lead gets an answer in 30 seconds or less by text, email or AI phone call, set per client. Inbound callers are qualified by AI voice. Dead lead revival campaigns work old lists back into conversation. I handle A2P 10DLC registration and messaging compliance for every client.

Result

LeadAttractor has served 30 clients since June 2023, with top accounts worth $25K to $30K. Hundreds of old leads have been brought back into conversation.

The system answers, qualifies and follows up. It does not generate leads, book appointments or close deals for the client.

CloseMagnet

A SaaS platform I wrote

Problem

My clients needed calling campaigns, billing and a knowledge base in one place, and off-the-shelf tools did not cover it.

What I built

CloseMagnet, a multi-tenant SaaS platform covering calling campaigns, billing and credits, and a knowledge base. I wrote it myself with AI-assisted development.

Result

It is live with paying accounts.

AudienceLab

Senior Operations Executive (Contract), March 2024 to March 2026

Problem

A B2B audience data SaaS company had no save path for customers who cancelled, took 45 days to get a new customer live, and was wasting ad spend.

What I built

A cancellation save flow. A rebuilt onboarding process. A plan restructure that eliminated the low-tier plan and raised the entry price. Funnel architecture split by product line with pixel tracking for cleaner attribution. A ClickUp system for the 35 projects, backed by an Airtable database of 1,500+ customers. 10 to 12 SOPs for core operations, and a full operating review of the company's numbers for leadership.

Result

The save flow kept 55.5% of cancelling customers: 122 clients and $1.4M in annual revenue retained. Onboarding went from 45 days to 3. The plan restructure cut $7,494 a month in wasted ad spend while adding $5,248 in monthly recurring revenue.

How it was measured

The save flow ran as a workflow around a cancellation form, so every step was counted: how many customers reached the form, how many were saved through the flow, cross-checked against the customer list to confirm who stayed. Onboarding was measured from company records as time from signup to live, before and after the rebuild.