Choosing where to focus
With many offerings, several audiences, and limited time and budget, effort was spread thin. Client data and buyer research showed where the proof and buying intent actually were. I focused demand gen and ABM on those segments, rewrote the messaging around what buyers actually buy, and kept a capped, automated layer for everything else.
Client data→Buyer research→Positioning→ABM
Direct buyer inquiries in this business unit rose 44% year over year, even as gated downloads were cut in half.
In-market signals
A job posting is often an early sign a company could use staffing support, and an even stronger one if they already use a competing staffing firm. But finding those companies meant manual searches, lookups, and outreach, so execution varied by location and workload. I built a workflow that surfaces relevant hiring activity at good-fit companies and routes the most promising accounts and contacts to the right salesperson.
Apify→Gemini→Supabase→Cloud Run
Qualified leads delivered to sales daily, without a human in the loop.
Measuring what matters
Marketing had no reliable way to tie spend to revenue. I co-built a measurement framework that connected website behavior with ATS and CRM data, then checked it against control groups. For the first time, we could see which spend actually drove pipeline.
Customer research→Clickstream tracking→ATS + CRM→Control groups
$1M in ad spend cut while maintaining sales pipeline.