H1 2026 D2C Data: What Happened, What It Means for H2

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What the Data Actually Shows About ecommerce Growth in H1 2026

The numbers for the first half of 2026 are in, and they tell a story worth paying close attention to as you plan for the back half of the year. Across the brands tracked in the D2C Index, median revenue grew 15.2% year-over-year in H1 2026. For 7-figure brands, that translated to roughly $280K in additional revenue. For 8-figure brands, the median lift was $1.2M, a 13.7% gain.

That sounds healthy on the surface. But here is the part that deserves your attention: ad spend grew 28% over the same period. Revenue grew 15.2%. Efficiency declined. Brands spent more and got proportionally less back. Understanding why that happened, and what to do about it heading into a softer consumer environment, is what this post is about.

AppLovin Is Delivering Real Incremental Results

One of the most significant shifts in the first half of the year has been the explosion of AppLovin spend across ecommerce brands. Year-over-year, AppLovin spend is up more than 1,000% in CTC's portfolio. That kind of growth warrants rigorous testing rather than enthusiasm, and that is exactly what the team ran.

Across 18 incrementality tests on AppLovin, only one returned a result below 100% incrementality. The average was 171%. Five tests came back at 225% or above. To put that in plain terms: for every dollar brands thought they were generating from AppLovin, they were actually generating $1.71 or more in real, attributable customer revenue.

"Across 18 incrementality tests on AppLovin, only one came back below 100%. The average incrementality was 171%."

There is an important nuance here. AppLovin uses 1-day click attribution, which is the most conservative attribution window available. That means the platform is systematically underreporting its actual revenue contribution. The brands that see this clearly are the ones finding the biggest advantage right now, because they are willing to invest in channels that look smaller on paper than they are in reality.

Meta Incrementality Is More Complicated Than a Single Number

Meta's average incrementality across the same portfolio sits at 113.4%. But that average masks enormous variance. Some brands are seeing Meta incrementality below 25%. Others are above 200%. The spread is wider than any other channel, and it is not random.

The primary driver of low Meta incrementality is channel concentration. When Meta accounts for 60-70% of a brand's new customer revenue, the platform is doing less incremental lifting and more harvesting of demand that exists regardless of ad exposure. Those customers were going to buy. The ad just happened to be the last touchpoint.

On the other end of the spectrum, higher average order value brands tend to see stronger Meta incrementality. The logic is straightforward: longer consideration periods mean customers are genuinely influenced by ad exposure over time. The ad is doing real work, not just capturing intent that was already there.

If your Meta incrementality is low, the answer is rarely to cut Meta. It is to diversify the channels driving new customer acquisition so that any single platform is not carrying the entire weight of your growth strategy.

Consumer Confidence Hit a Wall After Father's Day

The macro picture changed meaningfully in the second half of Q2. Just before Father's Day in June, consumer confidence reached an all-time high on the "enjoy spending" index. Then it dropped. By July, after Father's Day, Prime Day, and the 4th of July, confidence fell to its lowest level in three years.

"Future purchase sentiment in July 2026 is now below where it was in 2023, 2024, and 2025. That is the context for H2 planning."

One structural factor making July look worse than it might otherwise is the timing shift for Prime Day. This year, Prime Day moved from July to June. That pulled forward a significant consumer spending signal that would normally show up in July data. The result is a July that looks softer than usual, even accounting for seasonal patterns.

Future purchase sentiment in July 2026 is now below where it was in 2023, 2024, and 2025. That is the context for H2 planning. The next one to three months are expected to be slow. Brands that treat Q3 as a coast period and wait for Q4 to engage seriously are likely to find themselves underprepared when the holiday season hits.

Larger Brands Are Widening the Gap, and What That Means for Smaller Ones

Brands generating $50M or more in annual revenue are consistently outperforming smaller brands. The main reasons are channel breadth and auction dynamics. Larger brands compete across more channels, which means they win more auctions, reach more customers, and generate more data to optimize against.

For 7-figure ecommerce brands, closing that gap has traditionally meant accepting less visibility into what is actually driving growth. The tools that give larger brands their advantage, incrementality testing and mixed media modeling (MMM), have historically required the kind of scale and infrastructure that 7-figure brands do not have.

That is changing. The Prophit Engine and the measurement infrastructure built around it now makes incrementality testing and MMM accessible to 7-figure brands through CTC's Accelerator program. What was once a competitive moat for the largest players is now something a $5M brand can access and act on.

Emerging Channels Worth Watching in H2 2026

Beyond AppLovin, two channels are generating notable signals in the data. TikTok Shops spend is surging across the portfolio, per Northbeam attribution data. The platform is capturing purchase intent in a way that pure awareness-play TikTok content has not historically converted.

ChatGPT is also emerging as an advertising surface. It is early, but the category is real. More interesting is the indirect effect: Google's ROAS is up 10% year-over-year on only 13% more spend. One plausible explanation is that competition from ChatGPT is forcing Google to improve the quality and targeting of its own ad inventory. Either way, Google performance is looking stronger in 2026 than it did in 2025, and that is worth factoring into your H2 channel mix.

What to Do With This Information Before Q4

The data points toward a clear set of priorities for brands heading into the back half of the year. First, run incrementality tests on your highest-spend channels before you increase budgets for Q4. Spending more into a channel with low incrementality is the most reliable way to make efficiency decline further. Second, audit your channel concentration. If one platform accounts for the majority of your new customer revenue, the question is not whether that is a problem, it is how quickly you can address it. Third, pay attention to the consumer confidence data as it updates through August and September. A meaningful recovery before Q4 would change the calculus on how aggressively to ramp spend into October.

The brands that will have the strongest Q4 are the ones making decisions now based on what the data actually shows, not what the attribution dashboards suggest.

You can track the ongoing D2C benchmark data at the D2C Index.

Frequently Asked Questions

What does "incrementality" mean in ecommerce advertising?

Incrementality measures how much of your reported ad revenue would have happened anyway without the ad. A 100% incrementality score means every dollar attributed to the channel represents a genuinely new purchase the customer would not have made otherwise. A score below 100% means some portion of attributed revenue was going to happen regardless of the ad, often because the platform is taking credit for customers who were already intent on buying.

Why is AppLovin's incrementality so high compared to other channels?

AppLovin reaches customers through mobile app environments that are distinct from the social and search surfaces most ecommerce brands have historically relied on. This means it is reaching genuinely new audiences and driving purchases that would not have happened through other channels. The 1-day click attribution window AppLovin uses also means it captures only the most direct conversions, which makes the true incrementality even more significant than the platform reports.

What should a brand do if its Meta incrementality score is below 100%?

A low Meta incrementality score is typically a signal of channel concentration, meaning Meta is accounting for too large a share of new customer acquisition. The recommended response is not to cut Meta spend, but to invest in diversifying acquisition channels so that Meta is one part of a broader mix rather than the primary driver. As other channels take on more of the new customer load, Meta's incrementality tends to improve because the platform is working harder to reach customers it would not have reached otherwise.

How can a 7-figure ecommerce brand access incrementality testing and mixed media modeling?

CTC's Accelerator program, led by Joy Sharma, makes the same measurement infrastructure available to 7-figure brands that larger brands have historically had exclusive access to. This includes incrementality testing through the Prophit Engine and mixed media modeling designed to give brands a clearer picture of where their spend is actually driving customer growth versus where it is simply being attributed.

Ready to Build a Smarter H2?

If you want to know what your incrementality numbers actually look like -- and where your spend should go heading into Q4 -- we can help. Talk to Us

Steve Rekuc is the Ecommerce Data Analyst at Common Thread Collective. Based in Vail, Colorado, he has been analyzing data from a systems perspective since his time as a graduate student at Georgia Tech two decades ago. Steve can be found on Twitter and LinkedIn examining data and providing interesting insights into ecommerce, marketing, and data analysis.