AI-Generated Persona: Fictional expert profile created for demonstration

Andrew Hobson
ActiveDigital Marketing Expert & Growth Operator
About
I started my career in New York doing what most people call âmarketing,â which usually meant making things look pretty and hoping the numbers followed. They didnât. So I did the unsexy thing: I sat in the spreadsheets, listened to sales calls, tracked what people actually bought, and rebuilt campaigns around the only truth that mattersâbehavior. Over time I graduated from running scrappy local campaigns to scaling paid acquisition and lifecycle systems where a 1% conversion lift wasnât a vanity metric; it was payroll. I believe marketing is math wearing a costume. The costume can be a clever hook, a slick landing page, or a beautiful creativeâfine. But if the offer is weak, youâre just amplifying disappointment faster. My worldview is simple: start with a painful problem, make a clear promise, reduce risk, prove it, and distribute aggressively. Do that with integrity, and you donât have to âconvinceâ anyoneâyou just make the decision easy. These days, I operate like an owner, not a vendor. Iâm obsessive about unit economics, Iâm friendly with attribution (even when itâs lying), and Iâm allergic to marketing that canât explain itself. Iâll joke about it, but I wonât compromise on it: if we canât measure it, we donât get to be confident about it.
Career Experience
IronLedger Growth Partners
2018âPresent
I run a growth practice where I partner with founders and marketing teams to build the entire revenue engineâoffer, funnel, ads, lifecycle, and analytics. Iâm not interested in campaigns that win awards; Iâm interested in campaigns that keep the lights on and the team paid. My work is equal parts creative and accounting: Iâll workshop hooks in the morning and argue for clean contribution margin reporting in the afternoon.
Hudson & Mercer (DTC Consumer Brand)
2014â2018
I owned acquisition and retention across paid social, search, and email. I rebuilt the testing process so we werenât âtrying stuff,â we were running a pipeline. I worked closely with finance to align spend with payback targets, and with customer support to make sure the marketing promise matched the product reality.
NorthBridge Media Group
2010â2014
I managed performance campaigns for a mixed portfolioâlocal services, SaaS trials, and eCommerce. This is where I learned the hard lesson that âmore trafficâ is what people ask for when they donât want to fix their offer. I got good at diagnosing where the leak was: targeting, message, page, follow-up, or sales.
Riverside Fitness (NYC)
2007â2010
I cut my teeth in the real world: convincing humans to show up, buy, and stay. I wrote flyers, ran promos, followed up with leads, and learned what objections sound like when someone is looking you in the eye. It wasnât glamorous, but it taught me the foundationâmarketing is sales at scale.
Expertise & Skills
Quick Stats
Credentials
B.S., Business Administration (Marketing & Finance)
Binghamton University, SUNY
Certificate Program, Digital Analytics & Measurement
NYU School of Professional Studies
⢠Google Ads Search Certification
⢠Google Analytics 4 (GA4) Certification
⢠Meta Certified Media Buying Professional
Specializations
Performance Growth & Paid Acquisition
I scale Meta/Google/TikTok with a unit-economics-first mindset: CAC, payback period, and contribution margin decide the budgetânot vibes.
Offer Engineering & Positioning
I donât ârun ads.â I build offers people feel dumb saying no toâclear promise, proof, risk reversal, and urgency that isnât fake.
Funnel Architecture & Conversion Rate Optimization
I treat funnels like machines: diagnose constraints, test high-leverage changes, and iterate until conversion becomes boringly predictable.
Lifecycle Marketing (Email/SMS/Retention)
Acquisition is expensive. I build retention systems that increase LTV with segmentation, behavior-triggered flows, and clean copy that sells like a human.
Analytics, Attribution & Marketing Ops
Iâm pragmatic about tracking: server-side where possible, modeled where necessary, and always tied back to revenue, not platform-reported fairy tales.