TB Tim Blackburn / Operator
Tim Blackburn
Tim Blackburn
Long Beach, CA Remote Contract Results based
Operator / Funnel rebuild

I turn messy funnels into working systems.

Operator working on a remote, contract, and results-based basis. I step into underbuilt funnels, find the constraint, and ship the fix.

What I do

Diagnose, rebuild, ship.

Most funnels don't fail because of traffic. They fail because the path is unclear. I work end to end so the diagnosis and the fix don't get lost in a handoff.

The work

01
Diagnose where the funnel is leaking. Review the buying path end to end. Find the friction the buyer feels but the team can't see.
02
Rebuild the buying path. Education, segmentation, decision. In that order, mapped to how the buyer actually moves.
03
Ship the assets directly. Pages, quizzes, scripts, automations. I write and build, I don't brief.
04
Wire tracking so decisions are measurable. Klaviyo, Meta CAPI, server-side events. The system has to learn or it isn't a system.

How this lands in practice

No handoffs. The diagnosis and the fix come from the same person, so nothing gets lost in translation.

No long strategy decks. If something needs a slide, it usually needs a working version more.

Just working systems. The output is something the team can run after I leave, not a binder.

Proof

Two systems I built end to end.

Both started the same way: real demand, real assets, but the buying path wasn't doing its job. Below is what I changed and what the system does now.

Case file 01

Mane & Steel — DTC funnel rebuild

Context

Paid traffic was going to a generic store with no clear decision path. The brand had assets and demand. The buying path was the constraint.

Before
  • Cold traffic landed on product pages
  • No segmentation
  • No structured path to purchase
After
  • Advertorial warms the buyer
  • Quiz triages intent and stage
  • Product pages mapped to specific outcomes
  • Subscription path aligned with the decision
  • Meta CAPI and Klaviyo loop wired for feedback

This is a live system, not a finished case study. The links above are the actual production path.

Case file 02

Hair Loss Education Funnel — owned system

Foundation
  • 6+ months researching the hair loss industry
  • Compiled medical literature, clinical studies, and treatment protocols
  • Built an internal evidence library to separate proven treatments from noise
  • Identified and debunked common myths pushed by influencers and low-quality products
Problem

Hair loss buyers are confused, skeptical, and delay action because of conflicting information.

System
  • Long-form ebook distills research into clear, evidence-based education
  • Transplant guide captures the high-intent segment considering surgery
  • Quiz funnel triages stage, urgency, and solution fit
Purpose

Turn cold traffic into educated, segmented, conversion-ready leads grounded in evidence.

The ebook used to live on lazykinglabs.com. It's at the link above while I migrate the stack from Webflow to Cloudflare. I custom-code everything now.

How I work

Strategy and execution stay together.

I don't separate the thinking from the building. The same person diagnoses the problem and ships the fix. That's the whole point.

Engagement

Working modeRemote
StructureContract or retainer
TermMonth-to-month or 90-day sprints
MeasureOutcome-focused, not time-based

The work

Funnel copyI write it
Pages and assetsI build them
TrackingI wire it
PathI test it

Stack: Claude Code, Codex, Node, Cloudflare, Shopify Liquid, Klaviyo, Meta CAPI. AI tools speed up execution. The value is judgment.

Where I'm most useful

Different industries, same problem.

High-intent buyers hitting a funnel that doesn't help them decide or take the next step. The label changes. The work doesn't.

01 ClinicsHair restoration, TRT, medical aesthetics, plastic surgery.
02 DTC brandsSupplements, grooming, subscription products.
03 DTC telehealthGLP-1, TRT, peptides, prescription delivery.
04 M&A and search fundsAdvisors, search funds, acquisition teams.
05 Post-acquisitionSmall internet businesses with underused assets.

In practice

The deliverable changes by industry. Booked consults for clinics. Product decisions for DTC. Qualified leads for telehealth. Deal flow and buyer interest for M&A.

The work underneath is the same: build clear paths for buyer intent, without turning it into a slow agency-style process.

Fit

Best fit, and not a fit.

Saying who this isn't for tends to save everyone time. Read both sides before you reach out.

Best fit

  • Founder-led teams
  • Underbuilt or messy funnels
  • Paid traffic that isn't converting
  • Businesses with real demand but weak paths

Not a fit

  • Teams looking for a full-time CMO
  • Companies that want strategy decks without execution
  • No traffic, no data environments

Next step

Send me your funnel or landing page.

I'll tell you where it's leaking. No deck. No discovery process. Just a real read on the constraint and the next move.

Reply within 24 hours, Mon to Fri. Long Beach, CA.