D2C Operational Restructure
A direct-to-consumer brand had grown from £0 to £4M in 18 months — then hit a wall. Margins were collapsing, the team was burning out, and leadership had no clear picture of why. MergeX was brought in to diagnose the system and rebuild it for the next phase.
This case study covers a D2C brand that scaled rapidly then experienced a margin collapse driven by operational fragmentation. MergeX diagnosed three concurrent failure points — undefined offer hierarchy, an unbounded fulfilment model, and no data infrastructure — and rebuilt each systematically. The result was a 34% improvement in gross margin within 90 days.
The Challenge
The client had built a strong product and a loyal early customer base. Revenue had grown quickly, driven by paid social and word-of-mouth. But as the business scaled, cracks emerged everywhere simultaneously.
Margins were declining despite increasing revenue. The operations team was reactive, with no documented process for fulfilment, returns, or supplier management. Customer service was a single inbox shared between two founders. Leadership was making decisions in real time with no data — relying entirely on instinct and historical patterns that no longer applied.
The specific symptoms presented to us:
- Gross margin had declined from 52% to 31% over 12 months
- Average order fulfilment time had increased from 2 to 6 days
- Customer refund rate had climbed to 11%, up from 3%
- The founding team was working 70-hour weeks with no end in sight
The Diagnosis
After a two-week structured Scan, we identified three root causes operating simultaneously — which explained why the team's individual interventions had not resolved anything.
Root Cause 1: Undefined offer hierarchy. The brand had expanded from 3 SKUs to 47 over 18 months without a framework for which products to prioritise, promote, or retire. This meant marketing spend was fragmented across low-margin products, and fulfilment complexity was artificially high.
Root Cause 2: Unbounded fulfilment model. The business had inherited a manual fulfilment operation from its early days and never restructured it for scale. Every new SKU added disproportionate operational overhead. There was no decision framework for outsourcing vs. retaining.
Root Cause 3: No data infrastructure. Leadership was unable to see gross margin by SKU, cohort retention by acquisition channel, or fulfilment cost per order. Decisions were made on revenue and intuition — both of which masked the underlying margin destruction.
The Strategy
We structured the intervention across three parallel workstreams, executed over a 90-day engagement:
Workstream 1 — Offer rationalisation. We built a product contribution margin model for every SKU and identified the top 12 by margin and velocity. We recommended retiring 18 low-margin products, and designed a promotion strategy that directed paid spend exclusively to the high-margin tier.
Workstream 2 — Fulfilment restructure. We mapped every step in the fulfilment chain, identified the highest-cost manual touchpoints, and designed an outsourced 3PL model for standard orders while retaining in-house control for custom or high-value SKUs. We documented the transition protocol and managed supplier selection.
Workstream 3 — Data infrastructure. We built a simple but robust reporting layer covering five critical metrics: gross margin by SKU, refund rate by product, acquisition cost by channel, fulfilment cost per order, and 30/60/90-day cohort retention. This was delivered weekly to leadership via a dashboard built in under two weeks.
The Outcome
The results were measurable and compounding. Within 90 days of implementation:
The business had a clear, documented operational system for the first time in its history. Leadership had weekly visibility into the numbers that mattered. The team was no longer reactive — they had clear ownership, documented processes, and an escalation path for exceptions.
Crucially, the founders recovered approximately 20 hours per week each — time they reinvested into product development and strategic partnerships.
“MergeX did not just fix the problems we knew about. They found the ones we did not know existed — and built a system that means we can spot them ourselves next time.”
— Client, Retail / E-commerce
