THE BREAKING POINT
Four different spend decisions. One vague answer.
THE SOLUTION
A question that thinks like your customer, not your marketer.
A buyer’s first answer picks the follow-up they see.
What your buyer sees
How did you hear about us?
Which influencer?
What you set up
Your media lists
Your survey, kept current
How did you hear about us? YouTube
Which influencer?
Better data, higher fidelity. One record your whole stack can use.
Each answer is saved on the order as one record and sent to the tools your team uses.
One record on the order
- Channel
- YouTube
- Placement
- Influencer
- Influencer
- @emmachamberlain
- List
- Agentio Creator Roster
A product video above three timestamped jump points: at one minute 23, dynamic questions go beyond broad channel-level responses, learning which ad, which influencer, which podcast; at two minutes 44, media lists sync to your survey response options, keeping them current; at three minutes 34, “Other” answers land on a real placement through type-ahead from synced lists, with exact matches recategorized automatically.
Read the transcript
Hello, I'm Amalia, a product manager at Fairing. Today, we're excited to introduce the biggest update to the "how did you hear about us" survey since the dawn of the internet.
The modern marketer's media mix is constantly evolving. Consumers are increasingly discovering brands through the channels that are the hardest to measure, creators, podcasts, connected TV, and more. Channels where there's no click, no effective pixel, or no event to track. That's a real problem the moment you're deciding whether to increase spend you can't prove is working.
We kept hearing the same thing from our users: they wanted to more effectively attribute revenue to those channels so they can make better decisions with their top-of-funnel budget. The problem was the survey tool built to answer that question was falling flat, literally. The single-response static survey at checkout that hadn't evolved in decades was leading to misattributed credit and muddled guidance, so we rebuilt it.
After spending months talking to our customers and analyzing over a billion HDYHAU (how did you hear about us) questions asked, we built the biggest update to post-purchase surveys ever. We reinvented our product around three key principles.
First, the survey should match how your customers think, not how the marketer thinks. In the old survey design, one flat list forced every customer to think in channels. They were asked whether they found you through a podcast, YouTube, or an influencer, and the exact channel and placement combination that worked was lost. In the new design, the survey adapts to how your customers actually experience discovering your brand: how they want to answer, not how the marketer wants to ask.
Let's say three different customers were influenced by the same podcast on YouTube. Customer one starts by selecting podcast and then selecting Huberman Lab. Customer two goes to YouTube first and then also selects Huberman Lab. Customer three selects "other" at the top level, starts typing "Huberman," and is also able to select Huberman Lab on YouTube. Three different customer survey response pathways, the same destination: the exact placement that drove the sale.
Ultimately, by flexibly accounting for different customers' mental models, we see brands get 49% more placement-level attribution, fundamentally changing ROAS and improving future allocation decisions.
Second, your survey response options shouldn't be static. They should be a living, breathing stream that autonomously syncs with your media plan. In the old survey design, keeping that list current meant someone manually adding every new podcast or creator by hand, usually after it had already launched, sometimes never. In the new design, the list keeps itself current. Now you can manage your response options in a centralized place where both your brand and your partners can contribute. We integrated directly with partners such as Agentio, Podscribe, and Vibe, so the moment a new placement goes live in your media plan, it's already an option in the survey. [Lists sync daily.]
So you can see Agentio pushed response options here, and when a customer goes to the front end and selects influencer, YouTube, et cetera, they'll see the options pushed by Agentio. Four out of five brands we audited had a real investment missing from their survey entirely. Now it's there automatically the moment you start spending.
Third, your survey shouldn't require manual work for higher fidelity. In the old survey design, cleaning up "other" responses was a manual job. Someone had to read through every write-in by hand to figure out which ones were actually a podcast or creator you already tracked. In the new design, the survey resolves those write-ins itself. The moment someone's answer matches a placement in your synced list, it's counted as that placement immediately, not stuck under "other" waiting to be read.
Customers are often misspelling the channel they attribute to their discovery, for example, misspelling "James Charles," and that submission now automatically gets categorized under YouTube in Fairing, where it belongs. [Automatic matching for misspelled write-ins is coming soon.]
The intention behind the HDYHAU survey hasn't changed: ask your customers, they know best. What's changed is the clarity, depth, and value of your customers' responses. The goal behind all three of these principles is the same. Make the marketer more efficient: better attribution, less manual work, and more time spent on the decisions that actually grow the business.
If you want to learn about how to get access to our Advanced Attribution product, book a demo below. We can't wait to show you what we've built.
How is Advanced Attribution different from a standard post-purchase survey?
A standard survey stops at the channel, like “YouTube.” Advanced Attribution adds an adaptive follow-up that asks for the influencer, show or ad, using response options synced from your media plan. Each answer is saved on the order.
Will a follow-up question lower my response rate?
A follow-up appears only after the answers you attach one to, like “YouTube” or “Podcast,” so a buyer who picks “Friend or family” is done in one tap. Type-ahead finds the name in a few keystrokes. Brands typically see 30% to 70% of buyers answer the survey.
Where do the response options come from?
From lists that sync daily from Podscribe for podcasts, Agentio for YouTube influencers, Vibe for TV channels, or Google Sheets for anything else. New placements become response options at the next sync.
What happens to write-in (“Other”) answers?
Type-ahead suggests names from your synced lists, so buyers can pick the exact influencer or show. A write-in that exactly matches a placement on your list is recategorized automatically. The rest stay in “Other,” where you can recategorize them in bulk. Matching for misspelled write-ins is coming soon.
Where can the survey data go?
Credited answers go back to Vibe, Podscribe and Agentio, so each partner’s reporting includes the orders credited to its placements. Your responses can also sync to your own data warehouse, like BigQuery, Snowflake or Redshift, and you can ask about them in Claude or ChatGPT through the Fairing MCP.
Does this replace my attribution tool or MMM?
It works alongside them. The survey adds what buyers remember, including channels that leave no click to track, as a second read before you renew or cut spend.
Do I need to rebuild my survey to switch?
No. Our team sets up the follow-up questions and connects your lists with you.


