30M
households
Household-level resolution for building meaningful behavioral segments.
3-5
day custom audience delivery
Custom audiences delivered in 3-5 days with no minimums.
18+
direct financial sources
Passively observed purchase behavior without relying on surveys, receipt uploads, or opt-in research panels.
Verified audience signals
Build around brand, category, frequency, loyalty, competitive spend, and other purchase behavior.
Most audience building starts with a profile. Beam starts with a purchase behavior.
Maybe you want consumers who buy in the category every month. Or customers who used to buy your brand but now spend more with a competitor. Or high-value shoppers whose category spend suggests they’re worth more than a broad demographic segment would imply. You define the behavior. Beam finds the audience.
That’s the point of purchase-based targeting: the transaction isn’t an extra attribute added to the segment. It’s the reason the segment exists to begin with.
Build conquest audiences from consumers already shopping with competing brands instead of approximating competitive interest.
Use spend, frequency, and other purchase signals to identify active category shoppers and distinguish occasional buyers from high-value ones.
Create audiences around lapsed or changing purchase behavior so retention strategies can respond to what customers are actually doing (or not doing).
Move from “we should target this kind of buyer” to purchase-based targeting built around a verified, observed behavior.
Agencies
Give planners and buyers a behavioral foundation for conquesting, category, loyalty, and growth campaigns — and a clearer answer when the client asks why the audience matters.
Brand Marketers
Reach consumers already spending in the category or with a competitor rather than starting with interest alone.
CRM & Loyalty
Identify active, loyal, lapsed, and shifting buyers to activate against for re-engagement, retention, and expansion opportunities.
Growth
Use verified, observed purchasing patterns to define high-value segments and expand acquisition beyond broad demographic profiles.
Beam is built on both merchant-level transaction data and item-level POS data, sourced directly from 18+ financial institutions.
Data foundation
Observed consumer card transactions from 200M+ active U.S. consumer cards
Household resolution
30M households
Sources
Both merchant-level transaction data and item-level POS data, sourced directly from 18+ financial institutions
Audience signals
Brand, category, spend, frequency, loyalty, competitive, and other purchase behaviors
Delivery / access
Syndicated audiences available on LiveRamp, Experian, TransUnion and HealthVerity. Custom audiences delivered in 3-5 days with no minimums.
Core use cases
Purchase-based targeting, conquesting, acquisition, loyalty, retention, lapsed-buyer audiences
Built for
Agencies, media teams, brand marketers, CRM, loyalty, and growth teams
Imagine two consumers who look almost identical on paper. Same age. Same market. Same household profile. Both have shown interest in home improvement.
One spends in the category every other weekend. The other hasn’t made a purchase in six months. Those consumers may belong in very different media strategies. Beam lets buying behavior help make that distinction.
And because the underlying signal comes from passively observed transactions, consumers don’t have to remember what they bought, upload a receipt, or participate in a research panel. Purchase-based targeting starts with evidence of behavior and lets the campaign strategy build from there.
One of the harder parts of audience activation is keeping the strategy intact as it moves from research to media.
You identify an interesting buyer in the analysis. Then the audience gets rebuilt somewhere else. Definitions change. Signals disappear. The segment becomes an approximation of the original idea. Beam closes that gap.
Use Chroma to uncover a meaningful purchase behavior, like high-frequency category buyers or consumers shifting spend toward a competitor. Then use Beam to turn that behavior into an audience for purchase-based targeting.
So the customer you found in the insight is the customer you carry into activation.
Audiences built on real purchases, ready to activate across media and marketing.
Explore pre-aggregated consumer spending across companies, categories, markets, and competitors.
Purchase intelligence down to brands, products and UPCs across covered retailers.
Connect with the Facteus team to see how verified purchase behavior can turn a customer strategy into an audience ready to activate against.
Talk to the teamWhat is a verified audience?
Beam audiences are defined using verified, observed consumer purchase behavior rather than relying only on demographics, modeled interests, or stated intent.
What kinds of audiences can we build?
Depending on the use case, Beam can support audiences based on category purchasing, brand behavior, competitive spend, frequency, loyalty, lapsed status, and other observed transaction patterns.
How does purchase-based targeting work with Beam?
Beam uses demonstrated buying behavior to define audiences. For example, an agency might build an audience of frequent category buyers for a client campaign, while a brand team might focus on lapsed customers or consumers currently spending with a competitor.
Is Beam only for agencies?
No. Agencies and media teams are a core audience, but brand marketers, CRM teams, loyalty teams, and growth organizations can also use Beam when acquisition or retention strategy benefits from observed purchase behavior.
How is Beam different from Chroma?
Chroma helps teams analyze consumer behavior and identify meaningful buyer segments. Beam turns those behaviors into verified audiences that can support activation.
How is Beam different from traditional intent-based audiences?
Intent signals indicate interest or likelihood. Beam starts with verified, observed purchase behavior, giving teams a way to define audiences around consumers who have demonstrated the behavior already.
Where does the purchase data come from?
Beam is built on both Facteus merchant-level transaction data and item-level POS data sourced through direct relationships with financial institutions and financial services partners, covering approximately 30M U.S. households.
Do consumers have to opt into a research panel?
No. The underlying transaction data is passively observed through Facteus’s direct financial data relationships rather than collected through surveys, receipt scanning, or traditional research panels.
The entity maintaining this website is a data broker under Texas law. To conduct business in Texas, a data broker must register with the Texas Secretary of State (Texas SOS). Information about data broker registrants is available on the Texas SOS website.