Audience targeting is becoming harder as consumers move between apps, connected devices, websites and physical locations. Blis, the omnichannel advertising platform owned by T-Mobile Advertising Solutions, is examining whether carrier-derived data can provide advertisers with a more durable signal as traditional audience datasets become increasingly fragmented.
Blis Puts Carrier Data Under the Spotlight
Blis has released The New Audience Foundation: Why Carrier Data Is the Future of Audience Strategy, a white paper exploring how U.S. marketers can build audience strategies around signals that are less dependent on individual platforms, devices or digital environments.
The report draws on research conducted by Sapio Research and commissioned by Blis. Among 200 U.S. marketers surveyed, 54% identified data accuracy or representativeness as a leading obstacle to audience targeting. Another 67% agreed that many audience datasets rely on siloed signals, potentially leaving advertisers with an incomplete view of the customer journey.
Those findings point to a familiar problem in advertising technology: more data does not necessarily mean better targeting. Advertisers increasingly need signals that can connect fragmented behavioral information while remaining usable within privacy-conscious media environments.
Blis argues that carrier data could provide one such signal. Because mobile carriers operate across connectivity and device ecosystems rather than a single advertising platform, carrier-derived insights can potentially contribute information spanning digital engagement and real-world behavior.
In the U.S., Blis serves as the exclusive omnichannel activation point for T-Mobile’s carrier insights. The company says these privacy-centric signals can be converted into audience intelligence for targeting, activation and measurement across advertising channels.
Why Carrier Signals Matter for AdTech
The timing is significant as advertisers increasingly combine audience modeling with AI-driven campaign optimization. Machine-learning systems are only as useful as the underlying signals they receive, making data quality an important consideration as automated targeting becomes more widespread.
The research found that 71% of respondents believe carrier data could become an important signal for the future of omnichannel advertising. The survey covered 400 senior marketing decision-makers across the U.S. and U.K., including 200 U.S. respondents responsible for digital advertising and programmatic investment.
Carrier data does not eliminate the need for other identity, contextual, first-party or behavioral signals. Instead, its potential role is as another layer in an increasingly diversified audience-data stack.
For advertisers and agencies, the practical question will be whether carrier-derived intelligence can improve audience accuracy and measurement without compromising privacy expectations. For platforms such as Blis and T-Mobile Advertising Solutions, the opportunity is to make network-level data useful within the fragmented ecosystem of programmatic, mobile, CTV and omnichannel advertising.
The development also reflects a broader shift in AdTech: audience strategy is increasingly becoming a data-infrastructure problem, with the quality, provenance and interoperability of signals carrying as much importance as the targeting technology built on top of them.
Market Landscape
The advertising industry is moving toward a more fragmented signal environment as advertisers navigate privacy changes, platform-specific data, identity constraints and audiences spread across mobile, web, CTV and physical environments.
Blis’s research highlights this tension from the advertiser perspective: 54% of U.S. respondents identified data accuracy or representativeness as a major targeting obstacle, while 67% pointed to siloed audience signals. The findings are based on a Sapio Research survey commissioned by Blis rather than an independent industry-wide benchmark.
Carrier data represents one potential additional signal alongside first-party data, contextual targeting, identity solutions, location intelligence and publisher/platform data. Its potential value comes from the breadth of the underlying connectivity ecosystem, but advertisers still need to evaluate provenance, privacy controls, interoperability and incremental performance.
The development is particularly relevant to programmatic and omnichannel platforms seeking alternatives or complements to traditional cookie- and platform-dependent audience strategies.
Top Insights
- Blis’s white paper examines carrier data as an additional audience signal as marketers contend with fragmented consumer behavior across devices, channels and environments.
- Data quality remains a targeting challenge, with 54% of surveyed U.S. marketers citing accuracy or representativeness as a leading obstacle.
- Carrier-derived intelligence could provide another layer for omnichannel targeting by connecting mobile and real-world behavioral signals across advertising environments.
- AI increases the importance of signal quality, because audience modeling and automated optimization depend heavily on the reliability of underlying data.
- Advertisers and agencies will need to assess carrier data alongside first-party, contextual and identity signals for privacy, interoperability and measurable incremental value.
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