Fairing, the zero-party data measurement and attribution platform, 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.

Turning Customer Feedback Into Actionable Attribution
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 may hear about a product on a podcast, see a creator use it, or ask ChatGPT for a recommendation, then search for the brand days later.

Pixel-based and modeled attribution may credit the last touch, typically search or direct, while the channel that created the demand goes unmeasured. As discovery fragments across audio, video, influencers, and AI, that gap is widening.

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Identifying the Sources Behind Customer Decisions
Advanced Attribution closes this gap by going one level deeper than the standard HDYHAU question.

For example:

Customers who select YouTube can identify the creator who influenced them.
Customers who select Podcast can identify the specific show.
Customers who cite 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.

Read More: https://theabm.info/fairing-launches-advanced-attribution