quantilope automates the method on whatever panel you connect. Pogo makes sure the right people answer it: every buyer is matched to card, receipt, and retailer-account data before the study starts. Then ask them why, on video.
quantilope is panel agnostic: you bring your own list, connect an external panel, or use one of its partners, and its fraud checks screen out bots and known bad actors. None of that confirms that someone who says they buy your category actually does. Pogo starts from purchase data. Every buyer is matched to real transactions before they qualify, so a MaxDiff or concept test reads the people already spending in your aisle. And when the number needs a reason, the AI interviewer asks the follow-up question on video, with the same buyers.
"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 self-reported 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.
Yes. Pogo runs MaxDiff, concept tests, and other Quant Surveys with buyers matched to purchase data, then adds AI-moderated video interviews with the same people. The method only matters if the right people answer it. On Pogo, they do.
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.
quantilope says its platform is panel agnostic: you bring your own panel, connect an external one, use one of its panel partners, or recruit through social links. Pogo comes with its own buyers, each confirmed by card, receipt, and retailer-account data before the study begins.
Yes. Run MaxDiff and concept tests as Quant Surveys with verified buyers of your category or your competitors, then interview a subset on video to hear what drove the result.
quantilope's inColor collects video answers to set questions and analyzes them with AI, and its surveys can add AI follow-up probes to text answers. Pogo's AI interviewer asks follow-up questions in the interview itself, on video, and every person answering is a verified buyer.
Yes. Pogo builds an audience from what people actually bought, by brand, retailer, SKU, or frequency. That includes a competitor's customers, lapsed buyers, and category switchers.
Interviews start coming back within hours of launch, and most studies run end to end in under 2 days, with transcripts, themes, and highlight reels at the end.