What Pogo’s AI Research Platform Is and Why It Matters
Pogo’s AI research platform is a market discovery tool that connects brands directly with purchase-verified buyers, using their real transaction data to run AI-moderated interviews, surveys, and behavioral analysis at unprecedented scale. Instead of recruiting anonymous respondents, the system starts from what people actually bought and when, then invites those shoppers into structured conversations about their decisions. This creates verified buyer insights grounded in SKU-level receipts, subscription payments, and other real-world transactions. For brands, it means a brand research AI that moves beyond guesses, self-reporting, and fraud-prone panels to focus on observable behavior. For consumers, it offers a way to earn from their data with clear controls over how it is used. In effect, Pogo is trying to turn real shopping histories into a living research panel that can respond in hours, not weeks.
From Loyalty App to Purchase-Verified Insight Engine
Founded in 2020, Pogo built its AI research platform on top of a consumer app with 3 million opted-in users, rated the number one loyalty app by Newsweek two years in a row. The app connects to card transactions, digital and physical receipts, app usage, and location visits, with users deciding which data use cases they join. Pogo says it has visibility into 1 in every 150 shopping trips across USD 470+ billion (approx. RM2,162+ billion) in transaction value, giving it a wide view of everyday spending. Brands can tap that dataset to reach real buyers of anything from new packaged goods to cutting-edge services. Because the starting point is verified purchase behavior, Pogo claims it reduces fraud and misrepresentation that often plague traditional consumer research panels, where bots and misqualified respondents can distort outcomes.
How Brand Research AI Connects Companies With Buyers in Hours
Pogo’s workflow is designed to compress weeks of research into a single day. Inside the platform, a brand types the audience it wants—such as recent buyers of a new product, high-value customers who churned, or users of a specific app. The AI then scans Pogo’s network for matching, purchase-verified users, generates an interview guide, and launches thousands of AI-moderated video interviews at once. Within hours, teams receive transcripts, highlight reels, and synthesized insights, and can run quantitative surveys with the same cohorts. Always-on triggers mean shoppers can be contacted immediately after a behavior change, like trying a competitor or adopting a new category. According to Pogo, this combination of verified buyer insights and rapid AI moderation gives companies a direct line to real customers at a scale that was not practical with traditional focus groups or manual survey panels.
Fixing the Trust Gap in Consumer Research
Traditional research panels face persistent problems: survey bots, people misrepresenting themselves to qualify, and long screeners that still disqualify participants. Brands can end up making high-stakes decisions on data they do not trust, while consumers endure tedious experiences for little reward. Pogo aims to fix that by grounding every respondent in real, SKU-level transaction data. A buyer of a product that launched last week, a repeat shopper, or a recent churned user can all be identified from receipts instead of self-reporting. One client, Shannon Clayton of OFI, described how receipt verification gave their team confidence to present findings internally and move to a business decision that is expected to have a multi-million dollar impact. This focus on proof-of-purchase aims to make consumer feedback more reliable for strategic decisions and more respectful of participants’ time.
Use Cases and the Road to a “Source of Human Truth”
Pogo’s AI research platform is already in use by large consumer brands, consulting firms, and investment funds for diverse scenarios. A leading CPG interviewed buyers of a newly launched product, spotted packaging issues, and adjusted its supply chain before a wider rollout. A top tech company spoke with robotaxi users to understand repeat rides and churn after the first trip. A Fortune 500 food manufacturer built a multi-year view of how GLP‑1 drugs are changing what people buy. An investor identified paying Gen Z subscribers of an AI tool as part of due diligence. Co-founder and CEO Dom Wong says the goal is for Pogo to become “the world’s most trusted source of human truth,” combining factual purchase records with the stories and emotions behind them, and turning verified buyer insights into a lasting competitive edge.
