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?" 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.
Fairing launches Advanced Attribution for podcasts, TV, creators, and AI
Builds on HDYHAU post-purchase survey with dynamic follow-up questions
Turns channel-level responses into named sources
Uncovered up to 50% more usable attribution signal in early rollouts
Introduces managed auto-suggest lists for current response options
Launches September 10 in beta, general availability January 2027
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.
"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," said Matt Bahr, co-founder and CEO of Fairing.
"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," said Jessica C., VP of Operations, Podscale.
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.
