Clarity before activity
We identify whether the constraint is positioning, traffic, conversion, activation, retention or payback, then prioritise the work in that order.
Start with an audit
Find profitable growth between first purchase and repeat.
DTC teams can acquire new buyers faster than they learn which cohorts come back without another discount.
DTC customers compare products and delivery promises, make a first order and decide later whether the brand deserves another. Growth work starts with the constraint in the customer journey, then tests the smallest useful change before scaling spend. Find profitable growth between first purchase and repeat. More acquisition can make the funnel look healthier while the real constraint sits in conversion, activation or repeat value. Gross sales can hide discount dependency, returns and acquisition costs that the first purchase does not recover. DTC teams can acquire new buyers faster than they learn which cohorts come back without another discount.
We identify whether the constraint is positioning, traffic, conversion, activation, retention or payback, then prioritise the work in that order.
Every test has a hypothesis, owner, baseline and decision rule, so the learning can shape budget, messaging, channel mix or conversion work.
We report against CAC, payback, LTV, activation, retention and revenue quality, with channel metrics kept in their proper supporting role.
Test acquisition and post-purchase changes against contribution and second-order behaviour.
A useful growth plan makes choices. We find the constraint, choose the channel with the best fit and measure what actually changes.
Find the limiting stage in the journey using cohort, channel and customer-quality data rather than choosing a tactic first. For this market, product margin, first-order behaviour, customer cohorts and the reasons people reorder should guide the work.
Run bounded experiments on proposition, audience, journey and channel with a clear hypothesis and a decision threshold. Here, we test acquisition and post-purchase changes against contribution and second-order behaviour.
Scale the change that improves the commercial outcome, retire weak tests and revisit the constraint as the business changes. The decision is anchored in new-customer CAC, contribution margin, second-order rate, returns and payback expose the health of growth.
We move budget and effort towards the work that improves customer quality, revenue or payback, then reset the plan as the evidence changes.
Strategy, experimentation, acquisition, lifecycle and analytics wired into one model, so every channel has a job and every test has a commercial reason.

We identify the constraint closest to revenue, then rank the work by effort, evidence and commercial upside, so the team knows what deserves attention first.

Paid, content, founder-led social, outbound, partnerships and AI search visibility all have a place. We choose the channel that matches how your buyers already behave.

Onboarding, activation, expansion and win-back. These are the loops that improve payback and customer value after the first conversion.

GA4, CRM, attribution, cohort analysis and board-ready reporting. We separate what the data proves, what it suggests and what still needs judgement.
The pressure to add channels is real: more ads, more tools, more content, more automations. The better move is usually narrower. One clear buyer, one credible message and one or two channels with enough evidence to earn budget. Then a measurement rhythm that shows what to keep improving.
Your market isn't a template. We've scaled marketing across SaaS, retail, DTC and beyond, so your strategy runs on category knowledge, not guesswork.
See how MxD adapts each service to the buyers, channels and commercial outcomes in this market.
DTC teams can acquire new buyers faster than they learn which cohorts come back without another discount. Growth work starts with the constraint in the customer journey, then tests the smallest useful change before scaling spend. Product margin, first-order behaviour, customer cohorts and the reasons people reorder should guide the work.
Test acquisition and post-purchase changes against contribution and second-order behaviour. Find the limiting stage in the journey using cohort, channel and customer-quality data rather than choosing a tactic first. Run bounded experiments on proposition, audience, journey and channel with a clear hypothesis and a decision threshold.
Track the movement from first response to valuable customer, including conversion, acquisition cost, payback and repeat value. In Direct to Consumer, new-customer CAC, contribution margin, second-order rate, returns and payback expose the health of growth.
It can be. The useful version is marketing with experimental rigour, financial accountability and channel breadth wired in by default. We name the constraint before the tactic, the hypothesis before the test and the commercial metric before the report.