📊 Key Data
  • 3,224 incremental subscriptions measured with 99.98% statistical confidence in an early test
  • 365% return on ad spend (ROAS) demonstrated in a CTV streaming service campaign
  • Two methodologies: Household-level holdouts and GeoLift testing for comprehensive measurement
🎯 Expert Consensus

Experts would likely conclude that Jamloop’s experimental approach to CTV ad measurement represents a significant advancement, providing advertisers with scientifically rigorous tools to prove true ROI—a critical step in aligning CTV with performance marketing standards.

about 20 hours ago
CTV’s Great Experiment: Jamloop Redefines Ad Measurement with True ROI

CTV’s Great Experiment: Jamloop Redefines Ad Measurement with True ROI

WALNUT CREEK, Calif. – July 21, 2026 – As billions of advertising dollars flood into Connected TV (CTV), a persistent question has shadowed its ascent: Is it actually working? For years, marketers have celebrated CTV’s promise of digital precision in a television environment, yet they have largely measured success with legacy metrics like impressions and reach. A new announcement from performance CTV platform Jamloop, in partnership with analytics firm Recast, signals a definitive shift from correlation to causation, aiming to equip advertisers with the tools to prove, not just assume, their impact.

Jamloop has unveiled an expanded suite of incrementality measurement capabilities, designed to answer the one question that truly matters to performance marketers: Did my CTV campaign drive new business that would not have happened otherwise? By integrating experiment-grade testing directly into its ad-buying platform, the company is making a bold play to elevate streaming advertising to the same standard of accountability long held by search and social media, fundamentally changing how advertisers measure and justify their spend.

The Quest for Causal Impact in a Streaming World

For marketers, the allure of CTV has been its ability to combine the high-impact, lean-back experience of television with the targeting capabilities of digital advertising. However, the measurement side of the equation has struggled to keep pace. Standard attribution models often give CTV credit for conversions that were already in motion, failing to distinguish between an ad that influenced a purchase and one that was merely present in the journey. This measurement gap has been a significant barrier, preventing CTV from fully earning its seat at the performance marketing table.

“CTV is trying to earn its seat at the performance table,” said Jeff Fagel, CMO at Jamloop. “But to do that, it cannot rely only on impressions, reach, completion rates, or attribution that gives media credit for conversions that may have happened anyway. Performance marketers want to know: did CTV drive more visits, more sales, more subscriptions, or more revenue? That is the standard search and social helped create, and it is where CTV needs to go next.”

The industry is hungry for this evolution. With economic pressures mounting, marketing leaders face increasing demands from their C-suites to demonstrate clear return on investment (ROI) for every dollar spent. Metrics that simply measure exposure are no longer sufficient; the new standard is incrementality—the measure of true, causal lift generated by an advertising campaign. Proving this requires a shift from observational analytics to controlled experimentation, a methodology Jamloop is now embedding at the core of its platform.

A Two-Pronged Approach to Scientific Measurement

Jamloop’s new offering tackles the incrementality challenge with a sophisticated, dual-methodology approach. The first, and most deeply integrated, is a household-level holdout system built directly into its proprietary ad-bidding technology.

Before a campaign even begins, the platform randomly assigns eligible households into a treatment group, which will be served ads, and a holdout group. The key innovation is what happens next. Using its own bidder, Jamloop practices “active suppression,” meaning it actively prevents ads from being served to the holdout group during the campaign. This is a crucial distinction from other methods that might apply a control label after the fact or rely on modeled audiences. Furthermore, Jamloop validates the holdout group against real-time bidstream data to ensure the households in the control group were genuinely reachable but were intentionally not exposed. Any household that was never eligible for an impression or was incidentally exposed is removed, resulting in a cleaner, more scientifically rigorous control group.

“Unlike measurement approaches that rely only on modeled audiences, synthetic controls, or exposed-versus-unexposed comparisons assembled after a campaign ends, Jamloop builds incrementality directly into the campaign activation layer,” a company representative explained. The result is a more defensible way to compare outcomes between the exposed and unexposed, isolating the true impact of the ads.

To provide an even more comprehensive view, Jamloop has partnered with Recast to integrate its market-level GeoLift testing capabilities. This method allows advertisers to measure impact across broader geographic areas, such as ZIP codes or designated market areas (DMAs). By serving a campaign in designated “test” markets and comparing business outcomes to similar “control” markets that saw no ads, advertisers can capture macro effects and validate user-level findings at a larger scale.

“We built GeoLift by Recast because we believe advertisers should be running more experiments on their media, and not just accepting modeled answers,” said Michael Kaminsky, Co-founder and CEO of Recast. “CTV is a natural fit for geographic-based testing... We love that Jamloop is building incrementality into how campaigns are actually delivered, and that commitment to rigor is exactly what we want to support.”

From Theory to Practice: Proving the Impact

The power of this experimental approach is already being demonstrated. In an early test for a major CTV streaming service focused on subscriber growth, Jamloop’s platform measured 3,224 incremental subscriptions with 99.98% statistical confidence. This translated to an estimated 365% return on ad spend—a concrete, defensible figure that moves far beyond vanity metrics and speaks directly to business growth.

This level of insight empowers marketers to optimize campaigns with unprecedented precision, shifting budgets toward the audiences, creative executions, and publishers that drive genuine incremental lift. The capability is currently available for eligible U.S. advertisers with the necessary campaign scale and conversion volume to ensure statistically significant results, with plans for a self-serve configuration on the product roadmap for 2026.

By offering two distinct but complementary methodologies, Jamloop is advocating for a more holistic and skeptical approach to measurement. As Head of Product Daniel Gulick noted, the two methods provide different lenses on performance. “Household-level holdouts are powerful for measuring the impact of ad exposure at the audience level, while geo-lift can capture broader market effects that aren't always visible through user-level measurement alone,” said Gulick. “The strongest advertisers will use multiple methodologies, compare results, and avoid relying on any single source of truth.”

Topics & Related

Sector:
Advertising & Marketing
Event:
Partnership
Product Launch
Product:
Connected TV

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