Social video ad spend overtakes CTV as mobile algorithms win budgets

The shift in capital toward social platforms highlights a critical technical gap where CTV's fragmented operating systems fail to deliver the hyper-personalized discovery users expect from mobile devices. While TV viewing time remains stable at over 32 hours monthly, the inability of OEMs to integrate cross-device user data makes the big screen less attractive to performance-oriented advertisers. This pressure is forcing traditional broadcasters like Paramount and Disney to adopt vertical video formats to retain engagement. Watch for whether Google or Apple leverages their mobile OS dominance to unify the TV interface and reclaim these shifting ad dollars.

The competitive dynamics between social video and CTV are intensifying as advertisers increasingly demand proof of incremental return rather than platform-reported metrics. In early 2026, Thesis partnered with Measured to run geo-based holdout tests across Meta, Google, and TikTok budgets, discovering that its self-reported Meta ROAS of 4.2x dropped to a true incremental figure closer to 2.6x when measured against control markets. This measurement gap is precisely the kind of data that media buyers use to reallocate budgets between social video and CTV, and it underscores why platforms with superior algorithmic targeting are winning share even when their reported metrics overstate performance.

The measurement infrastructure supporting social video ad spend is maturing rapidly, giving advertisers more confidence in mobile-first platforms relative to CTV's still-fragmented attribution landscape. Industry analysts at Measured estimated that Meta's self-reported ROAS was overstating true incremental return by 40 to 60 percent for mid-market DTC brands spending between $500,000 and $5 million per month as of Q1 2026. Meanwhile, Nielsen conducted a meta-analysis with Pinterest across the Canadian CPG sector and found that 80 percent of Pinterest campaigns generated statistically significant incremental sales, with full-funnel campaigns integrating upper and lower funnel tactics delivering 1.5x greater sales lift than awareness-only efforts. These measurement advances favor social platforms that can expose user-level data to third-party verification, a capability CTV's walled-garden operating systems still struggle to replicate at scale.

On the performance side, Meta's machine-learning-driven ad formats are widening the efficiency gap that draws budgets away from CTV. Brands running Advantage+ Catalog Ads posted cost-per-acquisition improvements of 30 to 38 percent compared to manually structured campaigns, according to data shared with Ecommerce Times by three Shopify Plus merchants and two agency holding groups in Q1 2026. However, incrementality testing via tools like Measured and Lift Lab showed true incremental CPA figures running 15 to 22 percent higher than Meta's conversion API-reported numbers, a spread that still favors the format's budget priority for most operators. For CTV platforms like Paramount+ and YouTube's TV app, the challenge is matching this level of algorithmic optimization without the cross-device user data that mobile operating systems provide natively.