Verifiable representativeness
Coverage should be validated against a known benchmark, not asserted. If you can't check it against the census, you're trusting it blind.
Consumer Edge and Facteus both track consumer spend – but quality comes down to how the data is sourced, how representative it is, and how fast it fills. Facteus is built directly from financial institutions across banks, credit unions, and fintech, validated against the census and economy, and delivered with a one-day lag. In this business, a number you can’t reproduce next quarter isn’t a signal. It’s noise you got lucky on. We know that stability isn’t a nice-to-have; it’s the difference between a repeatable edge and a one-time coincidence.
You’ve run this diligence before: a panel that looks complete in a demo can hide skew, decay, or coverage gaps that only surface once you’ve built a position on it. These are the four things worth checking before you trust any dataset with a call:
Coverage should be validated against a known benchmark, not asserted. If you can't check it against the census, you're trusting it blind.
Accuracy claims mean little unless they're measured and disclosed. Look for a stated correlation to ground truth.
Signal that arrives days late is signal that arrives after the move. Freshness should be consistent, not product-dependent.
Merchant-level data answers "how much." Brand- and UPC-level data answers "what, exactly", which is where the sharper reads live.
The durability of a spend panel is a function of where the data comes from. Panels assembled from a small number of upstream suppliers inherit whatever happens to those suppliers, and a single change at the source can ripple through coverage, representativeness, and continuity. Facteus sources directly from 18+ banks, financial institutions, and fintech partners, because we believe diverse sourcing is what keeps a panel representative and stable over time – and at Facteus, it’s compounded by years of data science tuning the panel to hold true against real economic benchmarks.
Same category, different foundation. Where the comparison matters most for building signal you can trust:
| Consumer Edge | Facteus | |
|---|---|---|
| Sourcing | Opt-in, rewards-linked | Sourced directly from 18+ banks, credit unions & fintechs |
| Representativeness | Skews regional / deal-sensitive (not publicly disclosed) | Within 2pp of census by state, 4.5pp by generation |
| Validated accuracy | Not publicly disclosed | 92% average correlation to U.S. Census |
| Scale | ~180M accounts | 200M active U.S. consumer cards |
| Product granularity | Merchant-level; no UPCs | Merchant, brand & product-level with 8M+ UPCs |
| Bias | Self-selection inherent to opt-in | No recall or self-selection bias |
| Freshness | Product-dependent | Daily; ~70% fill within 1 day |
Coverage spans all U.S. geographies and economic classes, not just who opts into a rewards program.
Representativeness you can verify, not assume, with 92% average census correlation.
8M+ UPCs across 60k+ stores answers the questions merchant-level data can't.
Signal arrives while it's still actionable.
Built for funds that can't afford a break in their series and count on data reliability:
8+ years of transaction history and 4+ years of UPC history, so backtests hold.
Validate Facteus against your existing panel before you commit, so you're switching on evidence, not faith.
Transaction-level, aggregated, or dashboard for CC/debit (Ultra, Arbiter, Dashboard); row-level via S3 and Snowflake for UPC (Onyx). Fits your existing workflows.
Direct sourcing and ready-to-model delivery mean you're evaluating live signal in days, not stuck in a long integration cycle.
Facteus is more accurate than tools we've used in the past — letting us make decisions faster and with a higher degree of confidence.
Meet with our team to see a coverage comparison against your current panel.
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