Definition
Single-source measurement means measuring media exposure and outcomes from one consistent, observed source, so the same person can be understood across every screen they use. Rather than stitching together separate datasets from each platform after the fact, single-source measurement starts from a unified view of real people and the media they were exposed to — which makes deduplication, incremental reach and outcome linkage far more reliable.
Why it matters
When measurement is assembled from many different sources with different definitions, the result is fragmented and often inconsistent. Single-source measurement matters because it provides a coherent foundation: the same identity basis is used across channels, so reach is not double-counted, overlap is visible, and exposure can be connected to behaviour.
How it is measured
Single-source measurement observes the same audience across media environments through one integrated approach, then derives deduplicated reach, frequency, overlap, incremental contribution and outcome links from that single foundation.
How SYNC measures single-source measurement
SYNC is built on a single-source approach. Because the same people are measured consistently across linear TV, OTT, YouTube, Meta and digital, SYNC can produce trustworthy deduplicated reach, true cross-screen frequency, and a defensible connection between exposure and outcomes.
Frequently asked questions
Single-source measurement is measuring exposure and outcomes from one consistent observed source, so the same person can be tracked across every screen rather than reconstructed from separate platform datasets.
Probabilistic stitching infers connections between separate datasets statistically. Single-source measurement starts from one consistent foundation of real people, which makes deduplication and outcome linkage more reliable.