Last Updated: June 26, 2026
CAC is up across every paid channel. Retention is the only lever that scales profitably. Get a fractional CXO who has built first-party data systems and lifecycle engines that hold up when paid acquisition gets expensive.
CAC has compounded across every paid channel while contribution margins stayed flat
Meta CPMs are significantly higher than they were three years ago. TikTok is getting more expensive as brands pile in. Google Shopping is a margin grind with eroding differentiation. You are spending more to acquire the same customer, and the unit economics that worked in 2021 no longer pencil. Without a retention engine converting one-time buyers into repeat buyers, every acquisition dollar is bleeding out.
Attribution is fragmented across too many surfaces to optimize confidently
Privacy changes from Apple and the shift to cookieless browsing did not end attribution – they scattered it. You have conflicting signal in Meta Advantage+, GA4, your ESP, and Shopify, and none of it agrees. Decisions get made on whichever platform reports best, not on what is actually driving revenue. Brands that built first-party measurement infrastructure have a compounding advantage over those still optimizing to platform-reported ROAS.
Amazon dependency hollows out margins and kills the customer relationship
Sixty to seventy percent of revenue running through Amazon feels like stability. It is not. Amazon owns the customer data, sets the pricing floor, and takes 15-30% in fees before you get to COGS. Every dollar of Amazon revenue is harder to defend than a dollar of DTC revenue because you have no relationship to leverage and no data to retarget. Brands that never built a real DTC channel discover this the moment Amazon changes its algorithm or a competitor undercuts on price.
Social commerce fragmentation is creating execution complexity most DTC teams cannot staff
TikTok Shop, Instagram Shopping, and emerging social surfaces each require different creative formats, different fulfillment expectations, and different customer service standards. A lean team executing across four social channels is doing all of them poorly or burning out the people who know what good looks like. You need someone who knows which bets are worth making in 2026 and which ones are noise.
We do not manage your media buy. We build the growth architecture underneath it. That means first-party data strategy, retention systems, and channel prioritization – the decisions that determine whether your acquisition spend is profitable or just noise.
The assessment phase starts with your unit economics. We pull LTV by cohort, CAC by channel, and contribution margin by SKU. Most DTC brands know their blended CAC. Fewer know which acquisition cohort is actually profitable at six months. That gap is usually where the growth lever is hiding.
From there we build the retention engine. Lifecycle sequences move first-time buyers toward a second purchase. Subscription or bundle architecture gets built where the product mix supports it. Win-back flows recover lapsed customers. Retention compounds – a meaningful improvement in 90-day repeat rate is worth more than most acquisition experiments you could run this year. This is where our growth strategy work pays off fastest.
On acquisition, we restructure channel mix and measurement before scaling spend. That means server-side tracking where it makes sense, incrementality tests to understand true channel contribution, and a decision-making framework your team can operate without us. We tie this directly to measurement infrastructure so acquisition and retention work as one system, not two competing budget lines.
For brands with Amazon dependency, we build the DTC channel in parallel rather than pulling Amazon revenue prematurely. The goal is to create customer touchpoints Amazon cannot replicate – community, subscription, content – and use them to shift where high-LTV customers repurchase over time. The margin improvement starts before the revenue shift does.
Measurement is built into every engagement from day one. We establish baselines before changing anything, and monthly reporting covers what is working, what is not, and where to invest next. No vanity metrics – only indicators tied to revenue and margin.
Most DTC brands optimize their way to a ceiling. The ones that break through it build retention systems that make every acquired customer worth more – then acquisition economics fix themselves.
Our 90-day sprint is built around one principle: fix the economics before you scale the spend. Phase one is a full audit of your growth infrastructure – analytics stack, channel performance, cohort LTV, retention rates, and Amazon vs. DTC revenue split. We interview your team, map the customer journey, and leave day 30 with a prioritized roadmap based on actual data, not assumptions.
Phase two (days 30-60) is strategy and early execution. We build out the measurement layer, start the retention architecture, and run the first acquisition experiments. Quick wins get implemented here – usually lifecycle email gaps and attribution cleanup – while longer-term channel work gets scoped and resourced.
Phase three (days 60-90) is full execution. Systems are running, your team owns the playbooks, and we are optimizing on real data. By end of sprint, you have a growth engine that runs whether we stay on or not. Most clients extend to six months to let retention cohorts mature and channel experiments reach statistical significance.
The first 30 days are diagnostic. We embed with your team to audit your analytics stack, pull cohort data, map customer journeys, and interview stakeholders. We come out of this phase with a clear picture of the highest-impact opportunities and a prioritized roadmap to address them.
Days 30-60 move into execution. Measurement infrastructure gets cleaned up. Retention sequences get built or rebuilt. We begin restructuring acquisition channel mix and establish weekly reporting rhythms so the leadership team has visibility without pulling data manually.
Days 60-90 are optimization mode. We are running on real performance data, adjusting what is not working, and scaling what is. Monthly strategy presentations to leadership cover revenue impact, what changed, and what is next.
Engagements typically run 3-6 months. We work 15-20 hours per week embedded with your team – attending key meetings, managing agency relationships, and owning the growth number alongside your leadership.
If your dtc / ecomm company needs fractional cxo leadership, we should talk.
Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Engagements typically run $18K-$30K per month depending on team size, channel complexity, and scope. That covers 15-20 embedded hours per week from a senior operator. Compare that to a full-time CMO at $250K-$400K plus equity, plus the 3-6 month ramp time before they are operating effectively. For brands doing $5M-$50M in revenue, the fractional model is usually the right fit.
Retention improvements typically show up in 60-90 days as lifecycle sequences start generating repeat purchases. Attribution cleanup happens in the first 30 days and changes how you make acquisition decisions immediately. Channel diversification away from Amazon takes 6-12 months to show material revenue movement. We set clear milestones at each phase so you know what to expect and when.
We embed directly with your team – not as external advisors dropping in for weekly calls, but as operating leadership attending the same meetings and owning the same metrics. Your existing marketing staff keeps day-to-day execution ownership; we handle strategy, prioritization, and high-stakes decisions that require senior operator experience. Most teams find the model raises the output quality of the people they already have.
Agencies optimize to their deliverable. A paid social agency optimizes to ROAS. An email agency optimizes to open rates. We optimize to your business economics – contribution margin, LTV, and payback period. That means we will tell you when to spend less on a channel or slow Amazon growth to protect DTC margins. No agency with a retainer tied to ad spend will give you that advice.
We establish baseline metrics before changing anything – blended CAC, 90-day repeat rate, LTV by acquisition channel, and contribution margin by SKU. Every monthly report tracks movement against those baselines. We build a simple economic model at the start of the engagement that shows what the numbers look like if we hit our targets, so the ROI calculus is clear before we start.
Typically brands doing $5M-$50M in annual revenue with a real growth problem – not just needing more ad spend, but needing to fix underlying economics. You have a product that works and some customer traction, but CAC is rising, retention is weak, or you are too Amazon-dependent to build a real brand. If you need senior leadership to own the growth function and build durable systems, this is the right fit.
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