For Marketing Decisions

Market to what people actually do, not just what they say.

Consumers are very good at telling surveys what they might buy. Their wallets are better at telling you what they actually do.

Facteus gives marketing teams a daily view of real purchase behavior so you can understand your customers, find the ones you want more of, see who else they buy from, and measure what changed after you went to market.

Marketing team reviewing business data.

Your customer said one thing. But their wallet did another.

Clicks show interest. Surveys show intent. Social tells you what people are talking about. But they all carry inherent biases. Purchase behavior tells you where the money actually went. Who bought? How often? Where else did they shop? And how loyal are they to you?

Facteus gives you real-time access to observed consumer behavior to answer the questions that stated intent can’t.

Follow the customer, not just the campaign.

Find your real customer.

Understand the people actually buying from you based on observed spend, frequency, category behavior, geography, and more. Because your “target consumer” gets a lot more useful once they’ve actually bought something.

Spend Insights

See where else their wallet goes.

Uncover where your customers cross-shop, which brands compete for the same dollars, and how their spending changes across categories to see if the competitive set you have on paper is the competitive set you’re actually up against.

Spend Insights

Find the customers you want more of.

Build audiences based on verified purchase behavior – from loyal category buyers to consumers spending more with a competitor. And reach people based on what they actually do, not just what a profile says they might.

Verified Audiences

See what changed after you went to market.

Track changes in spend, transactions, customer behavior, wallet share, and other signals around promotions and campaigns.

For product-driven businesses, go all the way down to UPC-level movement to see what actually left the shelf.

Spend Insights + Product Granularity

If the goal is to influence behavior…you should start with behavior.

The best predictor of future behavior is past behavior. Do you find yourself asking these questions with answers built mostly on the back of surveys, clicks, or modeled audiences?

“Who are our best customers really?”

Look at actual purchase frequency, spend, category behavior, and cross-shopping to identify the real profile for an “ideal” customer.

“Who else are they buying from?”

See the brands you’re up against for the same customers and wallets.

“Which competitor’s customers should we go after?”

Find customers already buying in your category who are spending disproportionately with a competitor, and devise a plan to capture share.

When the question changes by the hour, your answer shouldn’t take weeks.

Marketing moves fast. Your campaign is live, your competitor just launched a promo, and consumer behavior keeps shifting. You need to know why, and you need to know now.

Ask Facteus for the answers you need, and get them in seconds. All grounded in real consumer purchase data, so you can move with more confidence while there’s still time to act.

Interactive Demo

Because “they said they would” is different from “they did.”

48 of 50 states

within 2 percentage points of expected BEA Personal Consumption Expenditures spending share

92% average correlation

with U.S. Census Monthly Retail Sales

Daily visibility

85% of data arrives the day after the transaction, with a 5-day full fill

Explore sample data

Facteus consumer purchase data is built from passively observed purchase behavior across 200M+ active U.S. consumer cards, covering 5M+ merchant locations and 3,500+ brands.

No survey to remember. No receipt to upload. No research panel consumers have to opt into. That means less dependence on stated intent, recall, or digital-only behavior when you’re trying to get an unbiased view of how people actually spend.

So you can know more than whether a campaign got clicks.

The customer strategy session

Walk in knowing who your customers are, where else they shop, and where their wallet is moving.

The campaign brief

Build the audience around verified behavior instead of another broad demographic assumption.

The promo postmortem

See what happened to spend, trips, customers, and product once the promotion hit the market.

The competitive conquest plan

Find the customers already spending with the competitor you want to take share from.

The CMO question

Connect marketing activity back to actual, observed purchase behavior instead of stopping at engagement.

Industries We Serve

Bring us the customer you want more of.

We’ll show you what real consumer spending can reveal about who they are, where else they shop, and how to find more people who behave like them.

Book a demo

FAQ

What can consumer purchase data tell marketing teams?

Facteus helps teams understand purchase frequency, spend, cross-shopping, retention, wallet movement, category behavior, geographic differences, and other patterns visible in real transactions.

Can we build audiences using purchase behavior?

Yes. Facteus Beam can create audiences based on verified consumer purchase behavior for activation through supported marketing and advertising workflows.

Can Facteus show which competitors our customers also buy from?

Yes. Cross-shopping and customer-overlap analysis can help show where your customers spend across competing brands and categories.

Can we analyze promotions or campaigns?

Facteus can help teams examine changes in consumer spend, transactions, customer behavior, and product movement around marketing and promotional activity.

Can you analyze product-level behavior?

Yes. Facteus Acuity provides UPC-level visibility across 45K stores for supported hardline and softline categories.

How current is the data?

Facteus data begins arriving the day after transactions occur, with 85% available on a 1-day lag and daily refreshes.

How is this different from survey-based consumer research?

Facteus is based on passively observed purchase behavior from 18+ financial sources rather than stated intent, helping reduce opt-in bias, recall error, and digital-first skew.

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