Your COGS Are Exploding, and It’s Not Just Shipping Costs
Ads can hit their ROAS targets while margin shrinks. This post looks at how higher oil prices raise the cost of making what goes in the box, from plastic and packaging to synthetic fabrics, not only shipping.
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By Joris van Huët, Founder & CEOUpdated 3 min read
Your accountant sends you the P&L, and the numbers are wrong. Your ad campaigns are hitting their ROAS targets, your conversion-rate is stable, but your profit-margin has evaporated. You’ve been so focused on rising ad costs and shipping surcharges that you missed the real story: a hidden tax is eating your business alive, and it starts long before your product ever gets on a truck.
That hidden tax is the price of oil. While everyone is complaining about fuel costs, they are missing the bigger picture. Crude oil (CL=F) is up a staggering 57.6% in the last six months, with a 40.4% jump in March alone. This isn’t just about the cost to ship a box; it’s about the cost to make everything that goes inside it.
The Raw Material Tax You Don’t See
See also: The Hidden Tax on Ecommerce: How Ad-Tech Volatility Squeezes Shopify Merchants
Your marketing dashboard doesn’t have a line item for West Texas Intermediate crude, but your COGS certainly do. The plastic in your product components, the film on your packaging, the synthetic fabrics in your apparel: their costs are directly tied to the price of petroleum.
Think about it. The cost of the polymer resins that become your beautiful packaging just went up. The nylon or polyester in your new fashion line costs more to produce. The raw materials for your beauty product containers are more expensive. This is a systemic, invisible tax that hits your business before a single shipping label is printed. Your customer-acquisition cost might look steady, but the profitability of that customer is falling fast.
The Triple-Threat to DTC Profitability
This oil surge creates a brutal triple-threat for DTC brands. You are being squeezed from three directions at once:
- Input Costs: The raw materials for your products are more expensive.
- Packaging Costs: The boxes, mailers, and protective wrapping cost more to produce.
- Shipping Costs: And yes, on top of everything else, the fuel to transport your finished goods is more expensive.
Your standard analytics platforms are not built for this reality. They tell you about CPM and click-through rates, but they can’t connect a barrel of oil to your bottom line. They rely on last-click attribution, a model that is fundamentally broken in a world of complex, interconnected costs. You are making decisions based on a incomplete picture.
When your data platform ignores the causal drivers of cost, it’s not just inaccurate; it’s actively misleading. It tells you a channel has a great ROAS, so you pour more money in, blind to the fact that rising production costs are erasing any potential gains. You are flying a plane where half the instruments are blacked out.
This is where causal-inference becomes essential.
Stop guessing. Stop letting outdated analytics models burn your cash. It’s time to see the full picture.
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Frequently asked questions
Why are my brand's costs rising if my shipping rates haven't changed?
Your costs are rising because of the surge in oil prices, which increases the cost of raw materials like plastics, packaging, and synthetic fabrics.How can a 57.6% increase in oil prices affect my DTC brand's profitability?
Since many analytics tools don't track this, you might be overspending on marketing channels that are no longer profitable.What is the 'triple-threat' to DTC profitability mentioned in the article?
The 'triple-threat' refers to the simultaneous increase in input costs for your products, packaging costs, and shipping costs, all driven by the surge in oil prices. This combination puts severe pressure on your brand's financial health from multiple directions.Why are standard analytics platforms failing to account for these rising costs?
Standard analytics platforms focus on marketing metrics like ROAS and CPM using last-click attribution. They are not designed to model the complex causal relationships between macroeconomic factors like oil prices and your specific unit economics.How does causal-inference help solve this problem?
Causal-inference builds a true financial model of your business, connecting external factors like oil prices to your COGS and overall profitability. This allows you to see the real incrementality of your ad spend and make decisions based on a complete and accurate picture of your finances.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- ClickClick is the action a user takes to interact with a digital advertisement, redirecting them to a website or landing page. Clicks are a fundamental metric for measuring ad engagement and a primary input for click-based attribution models.
- ConversionConversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
- DashboardA dashboard is a visual display of key information required to achieve specific objectives. It consolidates data onto a single screen for quick review.
- ShopifyShopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.