Facteus for Investors
Alternative data that survives the backtest.
Most alternative data is either fast and hard to audit, or credible and already priced in. Facteus gives you decision-grade economic intelligence that’s both. You get a daily read on how 200M+ U.S. consumer cardholders actually spend for a point-in-time, backtestable signal. And we check our work every day against the government’s numbers and reported earnings, because when the market moves fast, you need to, too.
For investors, at a glance
4,000+
Companies
Public and private, already ticker-mapped. Skip the weeks of mapping.
48 of 50
States
Within 2 percentage points of BEA Personal Consumption Expenditures (PCE) spending share. Representativeness you can check.
1.8%
Average MAPE
Mean absolute percentage error vs. reported earnings, top 100 tickers. Lower is better.
1 day
Lag
Spending lands the day after it happens, refreshed daily.
You’ve probably been sold alternative data before. Here’s usually where it falls apart.
Fast data. Thin proof.
You can get a signal quickly. You just can’t always explain where it came from or why it should be trusted.
Credible data. Too late.
Government stats and company earnings are trustworthy. But they are also lagged, and the market moved while you waited.
Panels that drift.
Coverage shifts, panel composition, and methodology changes can make last year’s backtest quietly stop meaning anything.
Black boxes in the IC meeting.
Nobody wants to defend a number they can’t trace, extract, or explain.
One signal, from the whole economy to a single ticker.
Same data, same validation, at whatever altitude your question needs.
Read the economy before the print.
Chroma
Spend Insights
See real consumer spending nationally and by sector, category, and company – all from a single signal. It’s continually benchmarked against BEA Personal Consumption Expenditures (PCE) and the Census Monthly Retail Trade Survey (MARTS), so speed doesn’t cost you trust.
Facteus ChromaWalk into earnings already knowing.
Beacon
Forecasting Signal
Track revenue direction, benchmark peers, and spot inflections ahead of earnings. Our signal is scored against company-reported results, including 1.8% MAPE for the top 100 tickers.
Facteus BeaconModel at the individual transaction level.
Spectrum
Transaction Stream
Build your models with point-in-time, extractable transactions delivered by API, Snowflake or S3. So your team spends Monday modeling, not mapping.
Facteus SpectrumSee the shelf before the quarter closes.
Acuity
Product Granularity
Get visibility into product-level sales from 45K stores across hardline and softline categories, so you can track velocity and trade-down in real-time.
Facteus AcuityFast is easy.
Defensible is the job.
48 of 50
states within 2 pp of BEA PCE share
92%
average correlation with Census Monthly Retail Sales
1.8%
average MAPE vs. reported earnings for top 100 tickers
85%
of data on 1-day lag, 5-day full fill
Transaction data earned its place in investment research because it reads demand directly, not through a survey or proxy. But when real capital rides on a number, “directionally useful” isn’t the bar.
Alternative data has to be point-in-time, backtestable, representative, and explainable – and it has to hold up against macro benchmarks, reported earnings, and your own model’s scrutiny. It also needs to have comprehensive ticker coverage across retail, restaurant, gas & convenience, and other major industries.
Most panels get checked against themselves. We check ours against the economy itself. Every day, we backtest and recalibrate against the latest government and earnings data, so the same signal can help a macro team read the consumer cycle, an analyst test a variant view, or a quant team feed production models inputs that compliance can audit.
Facteus comes from 18+ direct banking, financial services, and fintech partners covering 200M+ active U.S. credit and debit cards. Collection is passive: no app to opt in to, no receipt to scan, and no survey to remember. That means less opt-in bias, less recall error, and less digital-first skew.
See how we validateWhat investors do with Facteus
Prep for earnings
Know which way the quarter is breaking before the call.
Find winners and losers
See who is gaining or losing spend share inside retail, restaurants, travel, and more.
Build systematic signals
Feed daily, point-in-time transaction data into research and production workflows.
Pressure-test macro views
Connect top-down consumer themes to the tickers they actually touch.
Industries We Serve
Built for the industries you
trade on.
Restaurants
Know if it’s the chain you trade or the whole market.
Benchmark sales, traffic, and share for named chains down to the store level. See whether a soft quarter is their stores, the broader category, or guests shifting to the competition.
Retail
See who’s gaining share before quarter-end.
Track named merchants, market-share shifts, and shopper behavior across markets. See where demand is growing, where customers are moving, and where you have an opportunity to win.
Gas & Convenience
See beyond the pump.
Separate fuel from the in-store spending, track trips by daypart, and benchmark local performance against convenience stores, QSRs, and coffee chains competing for the same customers.
Artificial Intelligence
Ground AI in what people actually buy.
Train, calibrate, and validate AI models against observed consumer spending behavior, so synthetic consumers and agents look like the real people who make up the U.S. economy.
Direct-to-Consumer
Know customers beyond checkout.
See where buyers shop, which competitors share their wallet, and where lapsed customers go. Uncover retention risks and growth opportunities that first-party data can’t show you.
Test our data in your models before trading on it.
Connect with our team to explore a sample cut and judge the coverage, methodology, and audit trail for yourself.
Book a demoFAQs
How fresh is the data?
85% of Facteus data is available on a 1-day lag, with daily refreshes designed for fast-moving research workflows. Data reaches full fill within 5 days.
How do you handle representativeness?
We scale passively collected transaction data to the U.S. population by geography, income, and generation, then validate against BEA PCE and Census Monthly Retail Sales.
Is the data point-in-time?
Yes. Point-in-time lets you backtest without look-ahead bias.
Can we get row-level data?
Yes. Extractable, model ready data can be sent via API, Snowflake, S3, and other delivery options that fit within your workflows. Learn more about Facteus' data sources.
How is Facteus different from other alternative data vendors?
Most vendors validate against their own panel. We validate against the economy itself and tie that macro proof to company-level reads in one signal.
What about privacy, security, and compliance?
Data is anonymized at the source, privacy-safe, and enterprise compliant, with SOC 2 and CCPA controls built in.