Lawrence Humblet
Work

Bring me the problem, not the job spec.

The services are the shape of the work. This is how it has actually played out: real engagements, and the path every one of them follows. Most of it arrives as a symptom. I find the system underneath, then build the fix into what you already run.

01 · Case studies

What this looks like in practice.

Three engagements, start to finish. Different stacks, same shape: find the system underneath, then build the fix.

DTC / Ecommerce

From spreadsheet reporting to a live growth stack

A DTC brand running paid across Meta and Google, reporting in spreadsheets, with no idea which channel actually drove repeat purchases. I built the event schema, piped everything into a warehouse, and connected revenue back to campaigns.

4 wksto closed-loop reporting
B2B SaaS

One source of truth across product and marketing

A SaaS team whose product analytics, CRM, and ad platforms all told different stories. I rebuilt tracking on a clean schema, unified identity across tools, and gave marketing and product the same funnel for the first time.

1 funneleveryone finally agrees on
Bookings / Wellness

Booking data turned into retention revenue

An appointment-based business sitting on years of booking history it had never activated. I synced lapsed-visitor and high-value segments from the warehouse to paid and email channels, with winback flows that run themselves.

12.4klapsed customers reactivatable
02 · Recent work

Proof from the trenches.

Short snapshots of named engagements, each tied to the service it came from.

Measurement

Multi-source attribution stitching

Amplitude across front end and backend, unified by a shared transaction ID so conversions tied back to UTMs before identity existed.

1 IDFE + BE stitch
Integration

Deliverability rescue

Diagnosed rising hard bounces to an unverified list, then built ZeroBounce into existing HubSpot validation workflows.

In-flownot a bolt-on
Activation

Audience activation pipeline

Reverse-ETL style backend on GCP and BigQuery powering audience activation for booking platforms like Mariana Tek and MindBody.

GCPBigQuery path
Building

Analytics auditing tool

Front-end analytics auditor in Node.js on GCP with AI-assisted reporting, live on a client site and validated against DevTools.

Livevs DevTools
03 · How engagements run

Whatever the problem, the path is the same.

01Gather requirements
02Architect the solution
03Implement & integrate
04QA & verification
05AI enablement
06Sustainable growth

Let's look at your stack.

A 30-minute call. You describe the mess; I'll tell you honestly whether I can help.

Book an intro call
© 2026 Lawrence HumbletSydney → AnywherePrivacy · Currently building: StreetLvl ↗