The commercial operations layer for £2–20M D2C subscription brands.

The commercial operations layer for £2–20M D2C subscription brands.

A two-week paid diagnostic, then an embedded operator. Founder-led brands install AI-native ops systems — without a £180k hire, an agency retainer, or a strategy deck.

A two-week paid diagnostic, then an embedded operator. Founder-led brands install AI-native ops systems — without a £180k hire, an agency retainer, or a strategy deck.

Book a 20-minute intro call →

LONDON · 2026

WHO THIS IS FOR

WHO THIS IS FOR

You’re a founder or COO of a D2C subscription brand at £2–20M revenue. You sell a physical product — food, supplements, beauty, pet, household. You’re on Shopify or Shopify Plus. The ops function is either you, or one overstretched person. AI is showing up in pockets — Klaviyo flows, a forecasting sheet, a few prompts — but nothing that resembles infrastructure. If that’s you, keep reading.

87 → 97% | ON-TIME DELIVERY

87 → 97% | ON-TIME DELIVERY

18% | MILEAGE REDUCTION PER ORDER

18% | MILEAGE REDUCTION PER ORDER

+£110k | ANNUAL EBITDA UPLIFT

+£110k | ANNUAL EBITDA UPLIFT

D2C food and logistics scale-up (60-person ops)

D2C food and logistics scale-up (60-person ops)

Owned a 60-person ops and customer service function delivering 15,000+ orders per month. Took on-time delivery from 87% to 97% through workflow redesign, dashboards, standardised processes, and team coaching. Launched demand forecasting and route optimisation — cut mileage per order by 18%, absorbed 30% volume growth without adding headcount. Negotiated supplier contracts and introduced dynamic pricing, improving gross margin by 4 percentage points.

Owned a 60-person ops and customer service function delivering 15,000+ orders per month. Took on-time delivery from 87% to 97% through workflow redesign, dashboards, standardised processes, and team coaching. Launched demand forecasting and route optimisation — cut mileage per order by 18%, absorbed 30% volume growth without adding headcount. Negotiated supplier contracts and introduced dynamic pricing, improving gross margin by 4 percentage points.


£500k | WEIGHTED PIPELINE FROM ZERO

£500k | WEIGHTED PIPELINE FROM ZERO

3–5 | QUALIFIED MEETINGS/WEEK

3–5 | QUALIFIED MEETINGS/WEEK

6 of 13 | TEAM HIRED END-TO-END

6 of 13 | TEAM HIRED END-TO-END

B2B decision-intelligence startup (13-person team)

B2B decision-intelligence startup (13-person team)

Partnered with the CEO across strategy, revenue, fundraising, and operations. Built outbound and ABM motion from scratch — CRM, enrichment, sequencing, dashboards — generating 3–5 qualified meetings per week and roughly £500k in weighted pipeline. Supported fundraising including investor narrative, metrics decks, and diligence. Led entity restructuring and contract updates for international scaling.

Partnered with the CEO across strategy, revenue, fundraising, and operations. Built outbound and ABM motion from scratch — CRM, enrichment, sequencing, dashboards — generating 3–5 qualified meetings per week and roughly £500k in weighted pipeline. Supported fundraising including investor narrative, metrics decks, and diligence. Led entity restructuring and contract updates for international scaling.


11% → 31% | LEAD-TO-OPPORTUNITY CONVERSION

11% → 31% | LEAD-TO-OPPORTUNITY CONVERSION

£12M | ANNUAL PIPELINE

£12M | ANNUAL PIPELINE

102% | QUOTA ATTAINMENT

102% | QUOTA ATTAINMENT

EdTech sales org (6-person team)

EdTech sales org (6-person team)

Built and managed a 6-person SDR team. Designed an outbound and ABM playbook from scratch. Reduced ramp time by 30% through structured onboarding and coaching. The team generated £12M of annual pipeline and hit 102% of quota in FY23.

Built and managed a 6-person SDR team. Designed an outbound and ABM playbook from scratch. Reduced ramp time by 30% through structured onboarding and coaching. The team generated £12M of annual pipeline and hit 102% of quota in FY23.


THE OFFER

Two engagements. Both have a way out.

01 · Diagnostic Sprint
£4,500 · two weeks · fixed fee
A forensic look at your ops, supply chain, retention engine, and team — using your data, not a deck of generic frameworks. You leave with a written, prioritised roadmap, quantified gaps, and a clear go/no-go on a retainer.
If the diagnostic doesn’t produce something your team can act on, you don’t pay. The £4,500 is credited against retainer month one if you continue.

02 · Build & Operate
£6,000–£10,000/month · three-month minimum
Embedded operator for the build phase. SOPs, dashboards, AI workflows live in your stack, governance cadence installed. By month four the system runs without me.
30-day exit on either side after month one.

APPROACH

How the work actually runs.

Three things make this practice different from a strategy consultancy or an agency.
It’s operator-led. I’ve run a 60-person ops function, built outbound from zero, taken on-time delivery from 87% to 97%, and added six figures to EBITDA through supplier renegotiation. I’ve never written a slide deck for a Big Four firm and I’m not going to start now. The work is hands-on inside your stack — Shopify, Klaviyo, your 3PL, your P&L — not advisory.

AI is infrastructure, not a feature. AI shows up in three places in every engagement: reviews and ticket-language mining for retention copy and PDP rewrites; automated weekly ops dashboards pulling live data from your systems; internal agents for forecasting, supplier comms, and SOP-from-meeting transcription. You’ll see the actual prompts and tools in the diagnostic. You own all of them when the engagement ends.

The cap is the model. Three active clients maximum. No team underneath, no junior associates billing your account, no scope creep. When capacity is full, the practice closes to new work until it isn’t.

Diagnose.

Diagnose.

Diagnose.

Data audit, founder time audit, supply-chain risk, retention cohort analysis, AI readiness. The diagnostic phase produces the written roadmap and the quantified gaps.

Data audit, founder time audit, supply-chain risk, retention cohort analysis, AI readiness. The diagnostic phase produces the written roadmap and the quantified gaps.

Build.

Build.

Build.

SOPs, dashboards, AI workflows for forecasting, supplier comms, retention copy, ticket triage. Each one lives in your stack — not a deck, not a Notion page that goes stale.

SOPs, dashboards, AI workflows for forecasting, supplier comms, retention copy, ticket triage. Each one lives in your stack — not a deck, not a Notion page that goes stale.

Operate & Hand off.

Operate & Hand off.

Operate & Hand off.

Weekly ops cadence, governance documents, single source of truth. The system runs in production with me embedded as the operator until handover criteria are met. Your team owns it. I step back to a £6k/month governance retainer, or I step out entirely. Either way you keep everything built — prompts, workflows, dashboards, documentation.

Weekly ops cadence, governance documents, single source of truth. The system runs in production with me embedded as the operator until handover criteria are met. Your team owns it. I step back to a £6k/month governance retainer, or I step out entirely. Either way you keep everything built — prompts, workflows, dashboards, documentation.

Most £2–20M D2C brands are over-marketed and under-operated. The growth team has six tools. The ops function has a spreadsheet.

ABOUT

Northrope is a private commercial operations practice run by Natan — first name only on the website by design. Ten years across commercial roles in venture-backed and bootstrapped UK consumer and B2B companies. Seven in B2B sales — building and managing teams, designing outbound playbooks, generating eight-figure pipeline. Three as a Founder’s Associate inside early-stage companies — running a 60-person operations function in D2C food and logistics, then building outbound and supporting fundraising at a B2B decision-intelligence startup. AI and automation work began in 2022 — building internal tooling, agentic workflows, and ops infrastructure for the companies I was inside. That work is now the bulk of this practice. The practice operates with a hard cap of three active clients. Engagements start with a paid two-week diagnostic. After that, only if both sides see a fit.

On a discovery call you’ll have my full name, three founder references, and prior P&L scope under NDA. If the first thirty seconds of that call don’t land, we don’t proceed.

Why first name only?

The practice is small by design — three active clients maximum. A more public profile attracts inbound the practice can't serve. On a 20-minute intro call you'll have my full name, references, and detailed work history under NDA. There's nothing to hide; just nothing to gain from broadcasting it.

Is "AI-enabled" just ChatGPT wrappers?

No. AI shows up in three places: reviews and ticket-language mining for retention copy and PDP rewrites; automated weekly ops dashboards pulling from Shopify, Klaviyo, your 3PL, and your P&L; internal agents for forecasting, supplier comms, and SOP-from-meeting transcription. You'll see the actual prompts and tools in the diagnostic. You own all of them when the engagement ends.

Can a fractional really move the needle in three months?

Weeks 1–2 are diagnostic — no ops change yet, only evidence. Months 1–3 are build. By month four the system runs without me. Brands I work with see measurable founder-hour reduction and at least one P&L lever — retention, fulfilment cost, or unit margin — move within 60 days, or we're not the right fit.

Two ways to start.

Two ways to start.

A 20-minute intro call is the fastest path. If you’d rather email first, that works too — replies come within 24 hours.

A 20-minute intro call is the fastest path. If you’d rather email first, that works too — replies come within 24 hours.