The most common objection to multi-touch attribution from advertisers who spend heavily in TV, radio, and out-of-home is a reasonable one: "You can't measure what you can't see. We don't have user-level impression data for broadcast media — so how can MTA include it?"
The answer is the BOS signal. And it changes what MTA is capable of measuring.
Why Offline Channels Get Left Out
MTA models are built on touchpoint data — records of individual channel exposures for individual consumers on their path to conversion. For digital channels, this data is relatively accessible: ad server logs, site behavior, search query data, email engagement records. Each exposure creates a digital breadcrumb.
For broadcast TV, radio, and out-of-home, no such breadcrumb exists at the user level. A television ad reaches millions of viewers simultaneously. There is no server log, no impression tag, no cookie. The standard MTA data pipeline has no mechanism to record the exposure — so the channel simply doesn't appear in the attribution path.
The consequence is systematic: when TV is excluded from MTA, the credit it would have received gets redistributed to the digital touchpoints that appear in the model. Paid search, display, and social all look more valuable than they actually are, because they're receiving credit for journeys that TV initiated but couldn't be credited for.
What BOS Actually Measures
BOS stands for Branded Organic Search — search queries where a consumer types a brand name (or branded terms) directly into a search engine. This is distinct from generic category searches. When someone searches "running shoes," they are in research mode. When someone searches "Nike running shoes" or just "Nike," they have a specific brand in mind.
Branded organic search is behaviorally significant because it marks the transition from passive awareness to active intent. A consumer doesn't search for a brand name unless something made them aware of and interested in that brand. For consumers who were reached by a TV campaign, the TV ad is typically the precipitating event.
The BOS signal works because broadcast media exposure creates a predictable and measurable spike in branded search volume. When a TV campaign runs, branded search queries increase. When the campaign stops, they return to baseline. When a specific radio creative runs in a specific DMA, branded searches in that geography increase. The pattern is consistent, replicable, and validatable against the media schedule.
The Mechanism: From Exposure to Signal
The attribution logic works as follows. A consumer sees a TV ad. They don't convert immediately — most don't. But they now carry an awareness of the brand. Days or weeks later, they enter the active consideration phase and search for the brand by name. That branded search query is captured as a touchpoint in the MTA model. When they eventually convert, the branded search appears in their path — and the BOS methodology identifies it as the behavioral consequence of a TV exposure, not an independent search-generated touch.
The critical step is the media schedule validation. By correlating BOS volume fluctuations with the actual TV and radio flight schedule, C3 Metrics can establish which branded searches were causally linked to offline media exposure versus which represent organic brand interest. The two populations are attributed differently — the BOS-tagged searches carry the TV or radio channel credit, while organic brand interest searches are attributed as direct brand equity.
Validating the Signal
The validity of BOS attribution rests on the correlation between media schedule and search volume, tested at the DMA level and controlled for seasonality, competitive activity, and organic brand growth trends. A television campaign that creates a genuine BOS response will show statistically significant branded search volume increases in the geographies where the campaign ran, timed to the flight schedule, that cannot be explained by other factors.
This is not a proxy measurement or an estimate — it is a behavioral consequence of the media exposure, captured in the same digital data pipeline as every other touchpoint. The difference is that BOS requires interpretation: the branded search is the signal, and the TV or radio impression is what generated it.
What This Means for Channel Strategy
When TV, radio, and OOH are included in MTA via BOS, several things change. First, these channels receive credit for the conversions they initiated — credit that was previously flowing to paid search and retargeting. Second, the Originator role (see the ORAC taxonomy) shifts substantially toward offline media, reflecting the actual structure of how consumers enter and progress through purchase funnels for considered, higher-ticket categories.
For advertisers in automotive, financial services, insurance, and pharmaceutical — categories where TV is a major channel and considered purchase cycles are long — BOS attribution can substantially change the measured ROI of the media mix. Channels that appeared to underperform in digital-only MTA frequently show strong performance once their BOS-derived attribution is included.
BOS signal integration is a core component of C3 Metrics' omni-channel measurement capability. For clients with significant TV, radio, or OOH investment, BOS methodology converts offline exposures into first-class attribution touchpoints — giving broadcast media the same analytical standing as digital channels, and ensuring that media mix decisions are based on complete performance data rather than partial digital signal.