Paid channels
Google, Meta, LinkedIn, Microsoft, and Amazon Ads. Targeting, creative testing, and budget allocation across six-figure spend.
Experience · demand generation · 6+ years
Six-plus years planning media, improving measurement, and giving Sales better context on lead quality.
I plan where six-figure media budgets go, tie that spend to multi-million-dollar pipeline targets, and support lead scoring so Sales can make a better-informed call. Sales owns final qualification and the direct handoff; my job is to make the information reaching that boundary more useful.
Professional evidence from my résumé and work history; these figures are separate from the project receipts.
It's the part of marketing that decides where advertising money goes and whether it's actually working. I plan the campaigns, watch the numbers as they come in, and support lead scoring with the context Sales needs. Sales owns final qualification and handoff. The hard part isn't running an ad. It's trusting the report that says the ad worked.
Reverse chronological, same as the résumé linked in the nav. That document is the checkable source behind everything on this page.
Four areas, and they only work if they agree with each other. A campaign that looks good in isolation and bad once Sales gets the lead isn't actually good.
Google, Meta, LinkedIn, Microsoft, and Amazon Ads. Targeting, creative testing, and budget allocation across six-figure spend.
Marketo, HubSpot, and Eloqua for the campaigns that run after the click: nurture, scoring, and the path to sales-ready.
GA4, Google Tag Manager, Power BI, and Tableau power the reporting that decides which channel gets credit for what.
Salesforce and the handoff where a marketing lead becomes a sales lead: I make the definition and context of a good lead clear; Sales owns final qualification.
Attribution, campaign reporting, and whether a number means what it looks like it means. That's a normal Tuesday at work. The marketing-measurement study on this site is the same question, run on public data instead of an internal dashboard, with the method written down instead of kept in a slide deck.
I'm not claiming the study fixed a specific problem at a specific job. I'm saying the overlap isn't a coincidence. It's the question I already ask, built out somewhere a stranger can check my work.
Six-plus years of demand generation and one question underneath all of it: is this number telling us the truth, and what do we do next if it isn't.