Pogo runs surveys and AI-moderated interviews on 3M+ purchase-verified buyers, so your research starts with people you can confirm actually bought the product — not just people who say they did.
Diary-study and mobile-qual panels qualify respondents by self-report — what people say they bought. Pogo's panel is matched against real purchase and transaction records before anyone qualifies for a study, so findings are grounded in what people actually did.
"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 screening people on what they say they bought, we confirm it.
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.
Diary-study tools capture what people report about their own behavior over time. Pogo starts from a different foundation: every respondent is matched to real purchase data before they qualify, and you get quantitative surveys and AI-moderated interviews on that same verified panel.
Yes. Pogo supports large-sample quantitative surveys plus AI-moderated qualitative interviews, all on the same purchase-verified panel — so quant and qual findings come from one consistent, trusted audience.
Yes. Because respondents are matched to real transaction data, Pogo can target specific buying behaviors down to sub-1% incidence rates.
Most surveys and AI-moderated interview studies field and report within hours to a few days.
The core difference is what qualifies someone for a study. Most qual panels rely on self-report, while Pogo confirms real purchase and transaction data before anyone qualifies — which carries through to faster fielding, broader methodology in one platform, and confidence in who's actually answering.