Where do your unit economics actually stand?

Cash conversion cycle = days inventory outstanding + days sales outstanding − days payable outstanding. DTC brands that dropship or use print-on-demand can run negative or near-zero CCC (Shopify's own asset-light model runs about 1 day of inventory); inventory-heavy brands can tie up well over 100 days of cash in product sitting in a 3PL. Solo Brands' FY2025 10-K, for example, computes to roughly a 229-day cash conversion cycle. Pre-ordering and just-in-time purchasing are the fastest levers.

NRF's 2025 returns study puts online-specific returns at 19.3% of sales, compared with the 16.9% all-channel (in-store plus online) figure NRF reported for 2024. These are population anchors, not a target range for an individual brand. The real cost is higher than the refund amount once you factor in reverse logistics, restocking, and damaged or unsaleable inventory. A brand should compare its own return rate by SKU and category against the appropriately scoped anchor.

The most efficient DTC brands run $800K-$1M+ per FTE by outsourcing fulfillment, automating customer service (chatbots handle 40-60% of tickets), and keeping creative lean via freelancers. In-house warehouse operations dramatically lower this number. Above $5M revenue, the warehouse-vs-3PL decision is the biggest labor leverage call you'll make.

Gross margin (revenue minus COGS) is typically 60-70% for DTC. But after shipping (8-12%), payment processing (2.9%), returns (6-10%), and ad spend (20-30%), the real contribution margin is 15-20% at the median. Bottom-decile brands are contribution-margin negative, they lose money on every order and try to make it up on volume.

Post-iOS 14.5 CAC has risen 30-50% across Meta and Google for most DTC verticals. The brands winning on CAC are not spending less, they're converting organic traffic at higher rates through content, email (Litmus's retail/ecommerce-specific survey puts email at 45:1, revenue per dollar spent), and referral loops. If your CAC exceeds 35% of first-order AOV, you need repeat purchases to survive.

Triple Whale's 2025 data puts median ROAS at 1.86× on Meta, 2.21× on TikTok, 3.14× on Amazon, and 3.68× on Google. The spread by category is much wider than the medians suggest. Track channel-level contribution margin, not just ROAS, a 3× ROAS channel with 20% margins beats a higher-ROAS channel with thinner margins.

The 3:1 LTV:CAC benchmark exists because you need margin to cover fixed costs (rent, software, salaries). Below 2:1, you are structurally unprofitable unless you're in a high-growth land-grab. Above 5:1 usually means you're under-investing in growth. The most common LTV:CAC mistake: using gross-margin LTV instead of contribution-margin LTV.

Klaviyo's guidance is that a good repeat purchase rate runs 20-30% within 12 months. Level's operator experience across DTC categories tracks that median closely but shows a wide spread underneath it: food & beverage brands run 30-35% repeat rates on the strength of consumable reorder cycles, health & beauty 25-30%, apparel 20-25% (fit and seasonality break loyalty), and home goods 15-20% (long replacement cycles). Every 5-point increase in repeat rate meaningfully lowers effective CAC, because returning customers cost far less to convert than new ones.

Amazon sellers running heavily Amazon-concentrated (bottom decile in Level's data runs 90%+) have seen margins compress as Amazon raises fees and competes with Amazon Basics. Shopify-only brands face a different risk: Meta CPM volatility, which has climbed sharply since 2021. The most resilient brands in Level's operator base keep their largest single channel under 40% of revenue. Diversification isn't a luxury, it's insurance against platform rent-seeking.