Andy Jassy said it plainly on the Q1 2026 earnings call: the inventory stockpiling that brands did ahead of tariffs is burned through. The buffer is gone. Combined with a 3.5% increase in FBA fees that took effect in April, sellers are now operating in a margin environment that is meaningfully worse than it was six months ago, and will feel it in Q2 P&Ls.
This matters beyond Amazon. For DTC brands that run multi-channel operations, selling on Shopify, selling on Amazon, running paid social and search, the hidden danger is that margin compression on FBA SKUs is invisible in blended reporting. Your overall ROAS looks acceptable. Your total revenue is growing. But three or four high-volume SKUs are quietly destroying your contribution margin, and your dashboard isn't built to show you that.
Here's how the compression sneaks up on you: you track blended ROAS across your Meta and Google spend. That ROAS is calculated against total revenue, including Amazon revenue that came from customers who saw your DTC ads and then bought on Amazon anyway. The ad platform gets credit. The FBA fee increase is buried in your operations line. The connection between media spend and actual margin never gets made.
Across the 230+ brands we track through Statlas, we see this pattern constantly. Customer acquisition cost on Meta has risen 31% since early 2024, from $40.27 to $52.86. Average order value has moved barely at all: $124.85 to $125.85. The math on margin is getting worse on both ends simultaneously: higher cost to acquire, higher fulfillment cost per order, nearly flat transaction value.
31% increase in customer acquisition cost across 230+ CTC brands, February 2024 to April 2026. Over the same period, average order value increased less than $1. The margin squeeze is real.
The FBA fee increase is the third pressure point in a three-way squeeze: higher CAC, higher fulfillment cost, flat AOV. For brands with low-margin SKUs, commodity categories, heavily discounted products, anything where you're competing on price against Amazon's own brands, Q2 is when this squeeze becomes a crisis.
The tool that solves this problem is iROAS by product, incremental return on ad spend calculated at the SKU level, not the campaign level. It answers the question that blended reporting can't: for every dollar of media spend directed toward a specific product, how much incremental revenue does that product generate, net of what would have happened anyway?
When we run this analysis across brands, the pattern is consistent and striking. The top 20% of SKUs by iROAS typically generate 60-70% of a brand's actual incremental margin from paid media. The bottom 30% of SKUs often have negative or near-zero incremental contribution, meaning the spend is capturing demand that was going to happen regardless, or worse, driving traffic to products that, when you account for COGS, FBA fees, and refund rates, barely break even.
Most brands are optimizing for ROAS on products that are quietly destroying their contribution margin. The blended number hides the damage until it shows up in the bank account.
In a normal year, this is a performance problem. In Q2 2026, with FBA fees up 3.5% and CAC up 31% from two years ago, this is a survival problem for any brand running tight margins.
If you want to build a quick version of this analysis without a full incrementality testing program, start with these four variables for each of your top 20 SKUs by media spend:
Any SKU that fails three of these four tests is a candidate for immediate spend reallocation. The goal isn't to cut the product, it's to stop paying to acquire customers for a product that can't support its own acquisition cost under the current fee structure.
Here's what makes Q2 2026 especially dangerous: the tariff situation created a false sense of buffer. Brands that front-loaded inventory at lower COGS are now drawing down that stock while marketing against products at the old cost basis. When that inventory is gone, which Jassy confirmed is happening now, they'll be restocking at the higher post-tariff COGS and paying higher FBA fees on every unit.
The brands that will get caught are the ones who built their media plans around the old unit economics. A $30 product that had a $10 contribution margin with pre-tariff COGS and pre-April FBA fees might now have a $5-7 contribution margin. If you're paying $53 to acquire a first-time customer who buys that product once, you're negative from the first purchase and need LTV to save you. For brands without strong repeat purchase infrastructure, there's nothing to save you.
Pull your top 30 SKUs by media spend and calculate the actual contribution margin per unit after all variable costs: COGS, FBA fees, shipping, returns, and an allocated share of ad spend based on the share of clicks that SKU receives. Any product with a contribution margin below $10 on a sub-$50 price point deserves immediate attention.
iROAS at the SKU level tells you where your media dollar generates the most real margin. Shift budget toward the SKUs with the highest LTV-weighted contribution, products where first-order margin is reasonable and repeat purchase rates are high enough to make the unit economics work over 90 days.
Your campaign-level ROAS targets don't account for the FBA fee increase. A product that needed a 3.0x ROAS to be profitable at the old fee structure might need 3.4x now. Build fee-adjusted minimum ROAS targets into your bidding strategy for Amazon and use those as the floor for your paid media mix decisions.
The brands that will navigate Q2 most effectively are the ones that built the measurement infrastructure to see contribution margin by SKU, not just revenue by campaign. This is exactly the kind of visibility that Statlas is built to provide across our network: real P&L data, not ad platform metrics, connected to the actual economics of each product.
The margin compression is real. The FBA fee increase is permanent. The pre-tariff inventory cushion is gone. Q2 will be the quarter that separates the brands running on data from the brands running on dashboard optimism.
CTC's modeling methodology treats contribution margin by SKU as a first-order input, not a monthly reconciliation exercise. The Prophit Engine connects marketing spend, order revenue, COGS, shipping costs, and fixed expense allocation at the product level in real time. Every spend decision is made against a known contribution margin floor, not a blended account-level ROAS.
For Amazon FBA brands, this means building a product-level P&L that incorporates the full cost stack: COGS, FBA fulfillment fee (variable by size tier), referral fee (variable by category), advertising cost per unit sold, and returns cost. The contribution margin that survives all of these layers is the number that determines whether a product should receive acquisition investment, be optimized for organic rank only, or be sunset entirely.
The methodology CTC applies: products are scored on a composite of margin, volume, and acquisition efficiency. Products that rank in the top tier on all three get disproportionate ad investment. Products with strong margin but low volume get catalog optimization and pricing work. Products with compressed margin regardless of volume get a cost-reduction plan or a phase-out timeline. The blended ROAS number that looks acceptable at the account level often conceals a portfolio where 20% of SKUs are subsidizing the other 80%. The audit surfaces which is which.
Q2 will separate brands running on data from those running on dashboard optimism. The margin compression is real, the fee increases are permanent, and the visibility problem is solvable with proper SKU-level measurement infrastructure.
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