Pogo is the AI-interview platform built on 3M+ purchase-verified buyers — so when someone says they bought your product, you don't have to take their word for it.
Listen Labs qualifies respondents by self-identification — people claim they bought your product to get into the study. Pogo qualifies respondents by matching them against real purchase and transaction data first, so every interview starts with someone who actually bought it.
"Pogo enables us to engage verified customers and gain insights that drive smarter decisions."
"Pogo's breadth and depth of data is exceptional, I've yet to build an audience they couldn't find."
"Pogo's blend of competitive basket-level spend signals, along with videos of consumers that humanize the data is a game changer (and a must have for any data-driven marketer)"
Most research panels qualify respondents by answering a screener, so anyone can claim to buy your brand to collect the incentive. On Pogo, every respondent is screened by real card, receipt, and location data before the study starts.
Low-incidence SKUs, a competitor's customers, category lapsers — that's where opt-in panels run dry. Pogo finds them by what they actually bought: brand, retailer, SKU, and frequency.
Most tools give you the survey response. Pogo gives you the response and the verified purchase behind it — the receipt, the store visit, the brand switch — attached to the same person, in one study.
Talk to hundreds of verified buyers on video, in hours. Watch the full interviews, get instant reports, and share the highlight reels in your next deck.
Every Pogo respondent is matched to real purchase and transaction data before they qualify for a study. Instead of asking people what they bought, we confirm it — so every interview starts with someone you can trust actually bought the product.
Pogo matches respondents against real-world purchase signals — including credit and debit card transaction data, digital receipts, in-store visit data, and app usage data — before they ever qualify for a study. That's what "purchase-verified" means in practice: confirmed behavior across multiple data sources, not a single self-reported screener question.
The core difference is qualification. Listen Labs (and most AI-interview platforms) qualify respondents by self-identification — people say they bought your product. Pogo matches respondents to real transaction data first, so "purchaser" means verified, not claimed.
Yes. Because qualification happens against real purchase data before the interview, there's no incentive for someone to misrepresent a purchase just to get paid — a risk that comes up with self-report-only qualification.
Yes. Because respondents are matched to real transaction data, Pogo can target specific buying behaviors down to sub-1% incidence rates — audiences that are difficult to isolate through self-report screening alone.
Yes. Because verification runs on purchase data rather than your own recruited panel, Pogo can build a panel of any brand's verified buyers — including your competitors' — for direct competitive intelligence.
Most AI-interview platforms are fast and can mix quant and qual — that part of the category has caught up. What hasn't is verification: Pogo is the one built on a panel confirmed by actual purchase behavior, not self-report.