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Fairing, a zero-party data measurement platform, has launched Advanced Attribution, a product identifying specific podcasts, TV placements, creators, and AI platforms driving brand sales. The tool builds on post-purchase surveys by asking dynamic follow-up questions when customers select a channel, transforming channel-level responses into named sources. Early rollouts uncovered up to 50% more attribution signal from the same order volume. The product addresses growing challenges as discovery fragments across audio, video, influencers, and AI, where traditional pixel-based attribution typically credits the last touchpoint rather than the original source. Advanced Attribution includes managed auto-suggest lists that surface matching options as customers type, converting ambiguous responses into structured data. The platform helps brands measure channels that never produce measurable clicks, such as podcast mentions or ChatGPT recommendations.

Fairing launches Advanced Attribution to measure what actually drives sales across podcasts, TV, creators and AI. 7:10 am, PT, September 10, 2026 New product helps marketers move beyond channel-level signals to understand which creators and touchpoints are driving revenue. NEW YORK-(BUSINESS WIRE)-September 10, 2026- Fairing, the zero-party data measurement and attribution platform, today announced the launch of Advanced Attribution, a new product that identifies the specific podcasts, TV placements, creators, and AI platforms driving a brand's sales. Advanced Attribution builds on the "How did you hear about us?" (HDYHAU) post-purchase survey that Fairing helped popularize. When a customer selects a channel, the product asks a dynamic follow-up question tailored to that answer, turning a channel-level response into a named source. Brands are investing more than ever in channels that never produce a measurable click. A customer hears about a product on a podcast, sees a creator use it, or asks ChatGPT for a recommendation, then searches for the brand days later. Pixel-based and modeled attribution credit the last touch, typically search or direct, and the channel that created the demand goes unmeasured. As discovery fragments across audio, video, influencers, and AI, that gap is widening. Advanced Attribution closes it by going one level deeper than the standard HDYHAU question. A customer who selects YouTube can identify the creator who influenced them, while someone selecting a Podcast can identify the show. Those citing ChatGPT or another AI assistant can share what they asked. In early rollouts, Advanced Attribution uncovered up to 50% more usable attribution signal from the same order volume, with no change to survey placement or response rates. The product also introduces managed auto-suggest lists, which keep response options current without brands maintaining them manually. As customers type a free-form "Other" response, matching options surface in real-time, helping turn otherwise ambiguous answers into structured, actionable attribution data. Matt Bahr, co-founder and CEO of Fairing, said: "Marketing measurement has traditionally been very good at telling brands where a conversion happened, but much less effective at explaining what created the demand. That's becoming a bigger problem as more discovery happens in environments that never produce a click. Advanced Attribution gives brands a layer of evidence no pixel or model can: the customer's own account of what influenced their decision, captured in enough detail to act on."" Jessica C. VP of Operations, Podscale said: "Knowing a customer heard about a brand through a podcast doesn't provide advertisers with enough information. We need to understand which shows influence purchases, so we can make better decisions about where to invest and how to scale campaigns. Advanced Attribution gives us that additional level of insight directly from the customer, helping connect individual podcast placements more clearly to revenue." Advanced Attribution launches on September 10 in beta, with brands able to request early access to the new functionality, while Fairing continues to develop the product based on customer usage and feedback. The company plans to expand the feature set over the coming months ahead of general availability in January 2027. About Fairing Fairing is the attribution platform that turns direct customer feedback into reliable marketing attribution data. By transforming in-moment, zero-party signals into marketing clarity, Fairing helps brands uncover what truly drives discovery and purchase across all channels - even those traditional analytics can't measure. The result is accurate, privacy-safe attribution data that connects every marketing moment without relying on cookies, pixels, or guesswork.