Marketers are increasingly adopting unified measurement and identity resolution strategies to bridge the data gap between linear TV and streaming platforms. This shift aims to improve total reach and frequency calculations while reducing wasted ad spend caused by siloed reporting.
The immediate shift toward integrated data allows brands to optimize media mixes by treating linear and streaming as a single hybrid ecosystem rather than separate silos. This transition is critical as audience fragmentation makes traditional panel-based metrics insufficient for calculating true return on investment. For the broader streaming industry, this move necessitates deeper technical partnerships between broadcasters and data providers to facilitate secure identity resolution. As advertisers demand more granular accountability, the ability to connect digital identifiers with linear viewership will dictate which platforms capture the largest share of shifting ad budgets. Watch for a rise in first-party data clean room adoption as the primary mechanism for these cross-platform collaborations.
As unified video strategy adoption continues to grow, brands are increasingly looking for ways to reconcile fragmented viewership data across both traditional and digital environments. This is particularly relevant as performance CTV holiday campaigns drive more demand for precise, cross-platform measurement, supported by new tools like Imagine Communications OSI-X which help unify linear and digital ad workflows, or the omnichannel operating system recently launched by Viamedia. To further improve accuracy, many firms are now turning to AI marketing measurement to better interpret these complex data sets, often utilizing cross-platform measurement to scale across multiple endpoints.
Marketers are increasingly adopting unified measurement strategies to reconcile data gaps between linear TV and streaming platforms. By integrating deterministic streaming data with panel-based linear metrics, brands can achieve a de-duplicated view of reach. This shift is essential for optimizing media mixes and calculating accurate ROI in an increasingly fragmented landscape.
Marketers are adopting these strategies to bridge the data gap between traditional linear TV and digital streaming, allowing them to calculate total reach and frequency while eliminating wasted ad spend caused by siloed reporting.
Identity resolution uses first-party data to create a single customer view across disparate devices and platforms, which helps prevent over-saturating specific viewers with redundant advertisements.
Brands can improve ROI by treating linear and streaming as a single hybrid ecosystem. This requires integrating deterministic streaming data with panel-based linear metrics to gain a more accurate understanding of campaign performance.
First-party data clean rooms are emerging as the primary mechanism for secure data collaboration between broadcasters and streaming platforms, facilitating transparent and anonymized data sets.
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