Q1 2026 Channel Mix Benchmark
How 299 Brands Allocated Budget and What the iROAS Said Back
Based on $1.01B in DTC revenue and $231M in paid media spend across 299 brands, January through March 2026. Only brands with active spend across all 90 days of Q1 2026.
April 2026This benchmark analyzes how 299 direct-to-consumer (DTC) ecommerce brands allocated $231 million in paid advertising spend across Meta, Google, TikTok, YouTube, AppLovin, Snapchat, and Pinterest during Q1 2026 (January through March). Using CTC's proprietary Statlas data platform and incrementality measurement from geo-holdout experiments and media mix models, we compare platform-reported ROAS against incremental ROAS (iROAS) to reveal where brands are systematically over-investing and under-investing. Key findings: Meta acquisition campaigns receive 59% of all ad dollars and are understated by platform attribution (1.13x incrementality factor). Google Brand search reports 19x ROAS but delivers just 5.7x after incrementality adjustment (0.30x IF). TikTok's 4.5x reported ROAS drops to 3.6x incremental. AppLovin, the most understated channel at 1.47x IF, turns a modest 1.17x platform ROAS into 1.73x true incremental return.
The Headline Numbers
Aggregate performance across 299 DTC ecommerce brands with continuous spend throughout Q1 2026.
Where the Money Goes
Aggregate channel spend across 299 brands, $231M total in Q1 2026. Meta split by acquisition vs. non-acquisition; Google split by brand vs. non-brand.
| Channel | Spend | Share | Distribution |
|---|---|---|---|
 |
$135.6M | 58.71% | |
Google Non-Brand |
$59.2M | 25.63% | |
Google Brand |
$17.7M | 7.65% | |
|
$6.1M | 2.65% | |
TikTok |
$5.3M | 2.30% | |
AppLovin |
$3.2M | 1.38% | |
YouTube |
$2.1M | 0.90% | |
Snapchat |
$1.0M | 0.44% | |
Pinterest |
$0.8M | 0.34% | |
| Total | $231.0M | 100.00% |
Meta Acquisition = prospecting/acquisition campaigns. Meta Non-Acquisition = retargeting/retention. Google Brand = branded search terms. Google Non-Brand = Shopping, PMax, non-brand Search. YouTube reported separately.
Platform ROAS vs. Incremental ROAS
What the platforms report versus what actually moves the needle. The gap between these numbers is where misallocation lives.
| Channel | Platform ROAS | IF | iROAS | Platform Bias |
|---|---|---|---|---|
|
1.83x | 1.13x | 2.07x | Understated |
|
5.88x | 0.60x | 3.53x | Overstated |
Google Non-Brand |
9.30x | 0.75x | 6.97x | Overstated |
Google Brand |
19.07x | 0.30x | 5.72x | Massively Overstated |
TikTok |
4.50x | 0.80x | 3.60x | Overstated |
AppLovin |
1.17x | 1.47x | 1.73x | Understated |
YouTube |
1.86x | 1.10x | 2.04x | Understated |
Snapchat |
6.18x | 0.30x | 1.85x | Massively Overstated |
Pinterest |
6.57x | 0.42x | 2.76x | Overstated |
Meta ROAS reported on 7-day click attribution. Google Non-Brand = Shopping, PMax, non-brand Search. Google Brand = branded search terms. Incrementality factors (IF) from CTC geo-holdout and MMM measurement studies. iROAS = Platform ROAS × IF. IF > 1.0 = platform understates true value; IF < 1.0 = platform overstates.
Meta Acquisition at 1.83x platform ROAS is the lowest in the portfolio, yet its 1.13x IF means it creates more incremental revenue per dollar than its reporting suggests (2.07x iROAS).
AppLovin is the biggest surprise: a modest 1.17x platform ROAS becomes 1.73x after a 1.47x IF, making it the most understated channel relative to its reported performance. YouTube (1.10x IF) and Meta Acquisition (1.13x IF) are the only channels where the platform consistently underreports true value.
How the Biggest Brands Allocate Differently
Channel mix shifts dramatically as brands scale. The largest spenders diversify into emerging channels.
| Spend Tier | Brands | Meta Acq | Meta Ret | Google NB | Google Br | TikTok | AppLovin | YouTube | Snap | Pint |
|---|---|---|---|---|---|---|---|---|---|---|
| Under $50K | 31 | 49.8% | 0.1% | 40.1% | 10.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% |
| $50K to $150K | 62 | 54.9% | 1.0% | 35.5% | 7.9% | 0.2% | 0.0% | 0.1% | 0.2% | 0.2% |
| $150K to $500K | 93 | 67.0% | 1.4% | 24.5% | 5.8% | 0.5% | 0.3% | 0.1% | 0.1% | 0.3% |
| $500K to $1.5M | 77 | 55.4% | 3.5% | 29.0% | 6.6% | 2.6% | 1.1% | 1.0% | 0.2% | 0.4% |
| Over $1.5M | 35 | 59.0% | 2.5% | 23.4% | 8.6% | 2.6% | 1.8% | 1.0% | 0.6% | 0.3% |
Percentages show each channel's share of total spend within that tier. Percentages may not sum to exactly 100% due to rounding.
Meta Non-Acquisition (retargeting) spend barely exists below $150K but reaches 2.5 to 3.5% for larger brands. Google Brand search is relatively consistent at 6 to 10% across tiers, but its share is highest for the smallest (10%) and largest (8.6%) spenders. The largest brands are the most channel-diverse, with meaningful allocation across all nine channels.
The MER to Margin Connection
Higher efficiency ratios correlate with higher margins, but the relationship is more complicated than it appears.
| MER Bucket | Brands | Median CM% | Avg Meta % | Avg Google % | Avg YouTube % |
|---|---|---|---|---|---|
| Under 3x | 77 | 17.7% | 76% | 22% | 0.09% |
| 3x to 5x | 88 | 32.0% | 70% | 26% | 0.30% |
| 5x to 8x | 66 | 39.4% | 59% | 36% | 0.15% |
| 8x to 15x | 36 | 37.9% | 51% | 48% | 0.03% |
| Over 15x | 19 | 52.8% | 30% | 67% | 0.14% |
"Google" is Search/Shopping (excludes YouTube). Channel allocation uses the sum of named paid channels as the denominator. Percentages may not sum to exactly 100% due to rounding and smaller channels not shown.
An important caveat: many of the highest-MER brands that over-index on Google are businesses with thin gross margins and large product catalogs in categories like automotive parts, where the business model fundamentally does not support large investment in top-of-funnel demand creation. These brands rely on Google Shopping and Search to capture existing purchase intent because paid social acquisition economics simply do not work at their margin structure. The high MER is a byproduct of the business model, not a media strategy worth emulating.
YouTube allocation remains negligible across all MER tiers, despite its 1.1x IF, representing a broadly missed opportunity.
Quarter over Quarter: Q4 2025 → Q1 2026
Seasonal normalization after the holiday surge. Same 299 brands measured in both quarters for direct comparability.
Channel Spend Breakdown
| Channel | Q4 2025 | Q1 2026 | Change |
|---|---|---|---|
| Meta Acquisition | $174.1M (55.5%) | $135.6M (58.7%) | +3.2pp |
| Google Non-Brand | $87.2M (27.8%) | $59.2M (25.6%) | -2.2pp |
| Google Brand | $27.5M (8.8%) | $17.7M (7.7%) | -1.1pp |
| Meta Non-Acquisition | $8.5M (2.7%) | $6.1M (2.6%) | -0.1pp |
| TikTok | $6.0M (1.9%) | $5.3M (2.3%) | +0.4pp |
| AppLovin | $5.7M (1.8%) | $3.2M (1.4%) | -0.4pp |
| YouTube | $2.2M (0.7%) | $2.1M (0.9%) | +0.2pp |
| Snapchat | $1.4M (0.4%) | $1.0M (0.4%) | -0.0pp |
| $1.1M (0.4%) | $0.8M (0.3%) | -0.0pp |
Change column shows share-of-wallet shift in percentage points, not absolute spend change. All channels saw absolute spend decline post-holiday; the delta shows which channels gained or lost relative priority.
Methodology and Disclaimer
- Data sourced from Statlas, CTC's proprietary ecommerce data platform.
- 299 DTC brands with complete Q1 2026 data (January through March). Only brands with active paid media spend across all 90 days of Q1 2026 are included. Partial datasets are excluded to ensure consistent measurement.
- All data anonymized. No individual brand data is revealed.
- Aggregate revenue of $1.01 billion across tracked brands, with $231 million in paid channel spend.
- YouTube spend is reported separately from Google Search/Shopping using campaign-level classification.
- Channel allocation percentages reflect each brand's share of total tracked paid media spend across Meta, Google (ex. YouTube), YouTube, TikTok, AppLovin, and other platforms.
- MER (Marketing Efficiency Ratio) = Total Revenue / Total Ad Spend. A blended efficiency metric, not attributed to any single channel.
- Incrementality Factors (IF) are derived from CTC's proprietary geo-holdout experiments and media mix models (MMM) conducted across client portfolios.
- Contribution Margin (CM) = Gross Margin minus Ad Spend. It represents the profit remaining after product costs, fulfillment, and paid media investment.
