The Channel Allocation Question Every Growing Brand Faces
At some point in every omnichannel brand's growth, the conversation shifts from "how do we sell on more channels?" to "how do we decide how much inventory goes to each one?" It's a deceptively difficult question because the answer is dynamic — it changes by SKU, by season, by the current state of your wholesale relationships, and by how your DTC velocity is trending.
The gut-feel approach works when you're small enough that the founder or head buyer personally knows every SKU's performance. It stops working somewhere around 100 active SKUs and two or more meaningful sales channels. At that point, the informal "let's give wholesale their order and keep the rest for DTC" logic starts producing allocation decisions that leave money on the table — either by over-committing to wholesale on SKUs where DTC demand is accelerating, or by under-fulfilling wholesale orders on products where the buyer has strong sell-through and wants reorders.
What follows is a framework for making stock split decisions that's based on actual channel performance data rather than historical habit.
Understanding the Margin Tradeoff First
Before building any allocation model, it helps to be clear about the margin reality of each channel. DTC typically carries 60–70% gross margins (assuming owned storefront, reasonable COGS, and controlled returns). Wholesale typically carries 40–50% margins after wholesale pricing, retail buyer negotiation, and freight allowances. That gap exists for good reason — wholesale provides volume, market penetration, and retail presence that DTC alone doesn't.
But it means that a unit allocated to DTC is, in general, more valuable per unit than a unit allocated to wholesale — assuming that DTC unit actually sells at full price within the selling season. The caveat is important. A DTC unit that ends up in a clearance event at 60% off the retail price may generate worse margin than a wholesale unit that sold at the agreed keystone. Sell-through probability matters as much as margin rate.
A useful framing: when you're deciding how to split a limited pool of units between wholesale and DTC, you're making a bet on which channel will generate higher expected margin per unit, accounting for both the stated margin rate and the probability that the unit sells through at the right price level in the right time window.
The Data Inputs That Actually Matter
Good stock split decisions require four inputs per SKU:
- DTC sell-through velocity (trailing 8–13 weeks): How many units per week is this SKU moving through your own storefront? Is that velocity accelerating, decelerating, or steady?
- Wholesale order commitment vs. buyer sell-through: What has the buyer committed to? And critically — what's the buyer's historical sell-through rate on this style? A buyer who commits to 200 units and typically achieves 85% sell-through will reorder. A buyer who commits to 200 and achieves 40% won't reorder and may return units.
- Inventory on hand and inbound: How many total units do you have or will you receive, and over what timeline? This sets the pool you're dividing.
- Remaining selling season (weeks): How much runway does this SKU have before it transitions to clearance? A SKU with 14 weeks of selling season and 80 units/week in DTC velocity is a different allocation decision than the same SKU with 4 weeks remaining.
These four inputs, combined, produce the basis for a principled split decision. Without them, you're guessing — and the guess will be systematically biased toward whatever channel the person making the decision is most accountable to.
The Wholesale Commitment Baseline
In most cases, wholesale commitments are the starting point of the allocation decision rather than the variable. Buyers place orders with specified quantities and delivery windows. Your first allocation obligation is fulfilling those commitments — failing to do so damages buyer relationships and may trigger chargebacks under vendor agreements.
The question then becomes: after fulfilling wholesale commitments, how do you allocate the remaining pool? This is where the DTC velocity data becomes the primary driver.
Consider a practical scenario: a home fragrance brand, carrying approximately 80 active SKUs, with a core candle collection that moves well on both Faire and their own website. For their best-performing scent, they have 1,400 units in the DC across two inbound shipments, against a wholesale commitment of 600 units for the current season. The remaining 800 units are uncommitted.
Their DTC velocity for that scent is running at 55 units/week, with 10 weeks remaining in the primary selling season. That implies a DTC demand of approximately 550 units if velocity holds. The math suggests keeping 550–600 units for DTC and treating the remaining 200–250 as buffer — either for late-season DTC demand or for any incremental wholesale reorders the buyer might place if their sell-through is strong.
This isn't a precise science — velocity may accelerate or decelerate, and the buyer may or may not reorder. But it's a far better decision basis than "keep some for the website and ship the rest to wholesale."
When Wholesale Should Get Priority
We're not saying DTC always gets preferential allocation — that framing misses half the strategic picture. There are genuine scenarios where prioritizing wholesale inventory is the right call:
- New wholesale relationships requiring qualification orders: When you're trying to earn your way into a retail account that could represent significant volume, short-term margin sacrifice on the qualifying order is often worth it.
- SKUs with slow DTC sell-through but strong wholesale buyer performance: If a product isn't resonating with your DTC audience but consistently sells well through wholesale retail partners, the unit economics favor pushing inventory toward the channel where it actually moves.
- Late-season SKUs nearing clearance risk: A wholesale buyer willing to take a bulk order at the end of season prevents the markdown spiral. Better to lock in the wholesale margin than race to clear DTC inventory at 40% off.
- Channel-specific product launches: Some brands create wholesale-exclusive or DTC-exclusive SKUs. For those, the split decision is made at the product design stage, not the allocation stage.
Building the Decision Rule, Not Making the Decision Every Time
The scalability problem with SKU-level stock split decisions is that making them manually for 80+ SKUs every time inventory arrives is operationally intensive. The goal should be to convert the decision logic into a repeatable rule that can be applied systematically.
A simple version of this rule might look like: "For any SKU where DTC trailing-4-week velocity implies sell-through of 80%+ of remaining inventory within the selling season, reserve full DTC demand before allocating surplus to wholesale. For SKUs where DTC velocity implies less than 60% sell-through, fulfill wholesale commitment first and allocate remainder proportionally."
The specific thresholds should be calibrated to your margin profile and your channel relationship priorities. The key is that the rule exists and is documented — so the decision can be made consistently without requiring judgment calls on every individual SKU every time.
As your catalog and channel complexity grow, this rule becomes the foundation for automation. Once you can express the decision logic clearly in a spreadsheet or planning tool, you can move toward systems that apply it at scale — surfacing allocation recommendations rather than requiring manual calculation. The brands that get there fastest are the ones who wrote the rule down first.
