Flying blind
You spend on ads and outreach but cannot see what actually produces revenue. The dashboard does not match the bank account.
RevOps, productized
Your revenue data lies. Your CRM is a graveyard.
I wire attribution that tells the truth, score every lead so reps never touch a cold one, and automate the CRM so it works while you sleep. Two-week fractional sprint. You keep the system.
The offer
One operator who lived the sales seat before building the automation, so the system is customer-first and proven by hand. Not five vendors who do not talk to each other.
You keep the system. I document it so your team runs it after I leave.
The Problem
One connected problem, seen four ways.
Most revenue teams under fifty people share one problem from four angles. Fix the foundation and the visibility problem solves itself. That is one engagement, not four vendors.
Pipeline runs on memory
Lead gen is manual and reps chase cold names because nothing scores or routes them.
The CRM is a graveyard
Stale records, duplicates, reps working out of spreadsheets. Reporting becomes fiction.
The tools do not talk
Marketing, billing, and support each live on their own island with no wiring between them.
The Sprint
Two weeks. The revenue machine wired end to end.
I drop in, learn your stack cold, and build the missing pieces. Then I hand it back documented.
Attribution that tells the truth
Server-side event tracking with clean dedup, mapped to the CRM fields that matter, so you can defend every dollar of spend.
Lead scoring and routing
Every lead scored and sent to the right place automatically, so reps spend time on the ones that convert.
CRM hygiene and enrichment
Deduped, structured, enriched, and set up to stay clean instead of rotting again.
The wiring
The integrations between your tools (n8n, HubSpot workflows, APIs and webhooks) that let the team stop carrying admin in their heads.
Data Protection
Your data stays yours.
Every Fintech founder has the same question before letting anyone touch their revenue stack: what happens to our customer data? The standard attribution wires ad platforms directly to customer records, raw emails and phone numbers transmitted to Meta or Google servers. For a regulated business that is a data sharing event.
The approach I use is different. The hash step sits on your server, before anything is transmitted. Raw identifiers run through SHA-256 on your side before the event reaches the ad platform. The platform matches hash to hash. Your customer's raw data never left your infrastructure. That single move covers GDPR Article 28, CCPA, and PCI DSS scope without slowing the attribution build down.
Why Me
Charles Atkins
Olivebank LC
Receipts, not labels.
Not a generalist freelancer and not an agency markup. Each of these is a system I built and ran, in a domain I learned cold.
Server-side attribution (CAPI, hashed PII, event dedup) that recovered roughly half of previously-invisible mobile ad traffic, wired to 12 CRM attribution fields.
A four-stage paid funnel at 0.79% CTR, +49% over benchmark, and $1.13 CPC, down 21%.
A permit-to-CRM prospecting pipeline classifying 1,711 prospects across 320 ZIPs.
A 55-template outbound system on an n8n AI orchestrator with a clean CRM audit trail.
Who It Fits
Best when you want one operator for the full stretch.
Email the friction point and what keeps slipping. A short note is enough. I come back with what I think the real problem is and how I would approach it.
SaaS, tech, and AI teams with product-market fit but manual GTM plumbing.
Fintech and financial services that need data discipline under regulatory pressure. Hashed-PII attribution answers the security objection in one move.
E-commerce and DTC losing signal to tracking degradation and needing honest funnel math.
Energy and home services where I already speak the dialect (interconnection, permitting, field software).