You're subscribed.
The Identity Challenge Has Changed
Programmatic advertising in the United States has entered a new phase. Audience scale is no longer difficult to find; the challenge is understanding which signals can still be trusted, connecting them across fragmented environments, and turning them into actionable media decisions. The shift was already visible in 2025.
According to Comscore’s State of Programmatic 2025, 54% of mobile impressions and 36% of desktop impressions no longer contained a user identifier, including alternative identifiers. At the same time, 41% of marketers identified contextual targeting as their primary strategy for maintaining targeting effectiveness, while 40% pointed to first-party data. (Comscore, Inc.) This does not mean audience intelligence is becoming less important. Quite the opposite.
It means the definition of audience intelligence is changing-from knowing who a user is to understanding the signals, behaviors, context, and likely value associated with an advertising opportunity. For programmatic buyers, that distinction is becoming critical.
From Identity Resolution to Identity Intelligence
Traditional identity resolution attempts to connect identifiers across devices and environments. But modern programmatic ecosystems are increasingly fragmented across mobile apps, web, Connected TV, OEM environments, and streaming platforms.
A consumer might discover a product on CTV, research it on mobile, return through a browser, and ultimately convert inside an app. Treating each interaction as a separate user creates duplicated audience signals, fragmented measurement, and inefficient bidding.
i/RTB approaches this challenge through an Identity & Data Advantage layer powered by its proprietary DMP. The platform is built on more than a decade of verified purchase and download signals-not simply clickstream activity-and uses those signals to improve audience addressability and bid confidence.
The objective is not simply to identify an individual across every screen. It is to understand the relationship between signals well enough to make a better programmatic decision. That is the shift from identity resolution to identity intelligence.
The US Audience Is Already Living Across Screens
The complexity of the American media environment makes this shift particularly important.
Nielsen reported in 2025 that Americans were spending approximately 70 hours per week across linear TV, CTV, radio, smartphones, tablets, and computers. Smartphone usage had increased by more than 44% over a two-year period, while streaming represented 41% of total TV time as of October 2024. (Nielsen)
This fragmentation creates a fundamental problem for conventional programmatic targeting. The audience is unified. The signals are not.
CTV may provide household-level or contextual signals. Mobile can provide app and engagement signals. Web environments contribute browsing and conversion signals. Transactional systems provide the strongest indication of actual commercial value. The opportunity is to bring these signals together without reverting to outdated dependence on persistent identifiers.
i/RTB’s Proprietary DMP: Moving Beyond Clickstream Data
At the center of i/RTB’s Identity & Audience Intelligence capability is its proprietary DMP, which draws on 10+ years of verified purchase and download signals. The distinction is important.
Clickstream data can indicate that someone interacted with an advertisement. Transaction data can indicate that someone actually did something valuable.
i/RTB’s data architecture incorporates signals such as installs, deposits, and purchases, creating a performance-oriented foundation for audience intelligence. Its DMP is designed to enrich bid requests with deterministic identity signals and cross-device mappings across Mobile, Web, and CTV environments.
This gives programmatic buyers a more meaningful question to optimize against:
Not simply “Who can we reach?” but “Which audience signals indicate that this impression is worth buying?”
Cross-Device Intelligence Connects the Journey
One of the most important applications of identity intelligence is understanding how a single consumer journey moves between screens. Consider a typical US consumer journey. A viewer encounters a product advertisement while watching CTV. Later, they research the product on their smartphone. They may revisit the website from a desktop browser before ultimately completing a purchase through a mobile application.
A device-by-device buying model can interpret these interactions as separate opportunities. A cross-device intelligence layer can interpret them as connected signals within a broader journey.
i/RTB’s architecture is designed to map these signals across CTV, Mobile, and Web, helping connect discovery with downstream conversion while reducing duplicated attribution and fragmented audience interpretation. This becomes increasingly important as CTV becomes a larger component of US advertising.
IAB projected US CTV advertising spend at $26.6 billion for 2025, following 16% growth in 2024. Digital video overall was expected to reach $72 billion in 2025 and capture nearly 60% of total TV/video advertising spend. (IAB)
As more brand discovery occurs on television and more conversion happens elsewhere, identity intelligence becomes the connective tissue between those environments.
Audience Intelligence Is About Value, Not Volume
The next evolution of programmatic targeting is not simply finding larger audiences. It is finding audiences with stronger probabilities of meaningful outcomes. i/RTB combines audience signals with AI-driven optimization to improve the quality of bidding decisions. Its Audience AI uses verified purchase data for LTV prediction, while its broader agentic optimization framework combines audience, supply, creative, and campaign signals to continuously refine bidding decisions. This changes how audiences can be evaluated.
Instead of optimizing primarily around impressions, clicks, or short-term engagement, advertisers can increasingly orient decisions around signals associated with conversion quality and downstream value. That is particularly relevant as AI becomes embedded across the advertising ecosystem. IAB’s 2025 State of Data research found that only 30% of agencies, brands, and publishers had fully integrated AI across the media campaign lifecycle, while nearly two-thirds cited data quality, data protection, and fragmented tools as major barriers. (IAB) In other words, AI is only as intelligent as the data infrastructure supporting it.
The New Audience Intelligence Stack Is Privacy-First
Identity intelligence cannot be separated from privacy. The US advertising ecosystem entered 2025 with a growing patchwork of state privacy requirements. IAB reported that 19 comprehensive state privacy laws were either in effect or soon to be enacted at the time of its 2025 survey. (IAB)
Meanwhile, IAB Tech Lab’s work on PAIR and data clean rooms reflects the industry’s broader movement toward privacy-preserving audience activation. PAIR enables advertisers and publishers to reconcile first-party audiences without exposing underlying personal information or relying on third-party cookies. (IAB Tech Lab)
For i/RTB, this reinforces the importance of a data architecture designed around privacy-aware, cookieless audience intelligence. Its product architecture supports GDPR, CCPA, COPPA, and TCF 2.3 compliance while enabling identity signals to be used across Mobile, Web, and CTV environments. The objective is not to preserve the old identity ecosystem. It is to build a more resilient one.
From Audience Signals to Better Auction Decisions
Identity intelligence ultimately matters because it changes what happens inside the auction.
When audience signals are enriched before bidding, advertisers can make more informed decisions about whether an impression is valuable, how aggressively to bid, and which users deserve greater investment.
i/RTB combines its DMP and identity layer with Supply Path Optimization, AI-powered bidding, dynamic pricing, predictive traffic filtering, and autonomous campaign intelligence. The result is a continuous decision loop in which audience quality informs bidding, campaign outcomes refine the models, and improved intelligence feeds the next auction.
This is where identity stops being a data problem and becomes a programmatic performance advantage.
The Future of Programmatic Is Signal Intelligence
The US advertising market is moving toward a programmatic environment where identifiers are less persistent, media environments are more fragmented, CTV is becoming increasingly addressable, and AI is taking a larger role in campaign execution. In this environment, advertisers cannot rely on a single identifier, a single device, or a single audience segment to understand consumers. They need an intelligence layer capable of connecting meaningful signals while respecting privacy and improving the quality of every media decision. That is the role i/RTB is designed to play.
By combining a proprietary DMP, more than a decade of verified transaction signals, cross-device intelligence, AI-powered audience modelling, and real-time programmatic optimization, i/RTB transforms fragmented audience data into actionable buying intelligence.
Because the future of programmatic targeting isn’t about knowing more users.
