The Person and Their Employer.
One Query.
Exact Match combines 250M+ U.S. consumer profiles with 60M+ business records in a single audience query. Target by job title, employer size, and industry — with consumer behavioral data and verified contact info already attached.
B2B and B2C data are siloed by default.
When you need to reach “small business owners in the Midwest who are also homeowners aged 40–55,” you face a choice: use a B2B platform that has no consumer behavioral data, or use a consumer data platform that has no employer context. Then you try to join the two lists — and lose half your audience in the process.
This is not a workflow problem. It is an architecture problem. Most data vendors are built for one entity type. Exact Match is built for both — with the consumer and professional graph cross-referenced at the identity level, not joined after the fact.
Typical Audience Build vs. Exact Match
B2B Platform
✓ Work email + job title
✗ Missing: Behavioral data, home contact, consumer signals
B2C Platform
✓ Consumer profile + behavior
✗ Missing: Employer, company size, job function
Exact Match
✓ Person + employer + behavior
✓ Complete. One query.
Three Filters. One Audience.
Build a cross-entity audience in a single session — no data science, no manual joins.
Define the Person
Set consumer-level criteria: age range, household income, location, behavioral signals, life events, in-market intent — from 250M+ verified U.S. consumer profiles.
Layer the Professional Context
Filter by employer industry, company size, job function, title level, or company revenue — from 60M+ U.S. business records cross-referenced against the consumer graph.
Export a Single Audience
Receive one unified list with consumer contact info (name, email, phone, address) and professional attributes attached — ready for email, direct mail, programmatic, or social.
250M+
Consumer Profiles
60M+
Business Records
Daily
Data Refresh
Who Uses Cross-Entity Targeting?
Any campaign where the person's professional context changes who is worth targeting.
Financial Services
"Business owners in Texas with $500K+ household income and in-market signals for SBA loans."
Target high-value prospects at the intersection of professional role and personal financial profile — without stitching together two separate data vendors.
Commercial Real Estate
"Executives at companies with 25–100 employees within 10 miles of downtown Austin."
Find decision-makers for office leases by combining employer headcount, industry, and precise geographic radius around your properties.
B2B Products with Consumer Signal
"SaaS buyers: CTOs at Series A–C startups who recently searched for project management tools."
Reach B2B decision-makers with consumer-grade behavioral data attached — intent signals, lifestyle attributes, and verified contact info in a single record.
Agencies & Franchise Groups
"Small business owners in the HVAC industry within a specific franchise territory, aged 35–55."
Build hyper-local professional audiences for franchise recruitment, co-op campaigns, or vertical-specific media buys.
Staffing & Recruiting
"Software engineers at companies with 50–500 employees who have job-change intent signals."
Identify passive candidates by combining employer context with behavioral signals that indicate someone is open to new opportunities.
Healthcare & Wellness
"Medical professionals in private practice within 30 miles of a metro area, with wellness purchasing signals."
Cross healthcare provider data with consumer behavioral profiles to reach practitioners as both professionals and individual buyers.
What Makes This Different
Single query — no joins required
Most teams end up with a B2B list and a B2C list they try to merge by hand. Exact Match gives you one audience with both contexts already attached.
Consumer-grade contact data included
B2B platforms give you work email. Exact Match gives you the person: home address, personal email, phone, and behavioral profile — on top of their professional role.
Behavioral signals on professionals
Know not just who they work for, but what they are in-market for right now. Combine job title targeting with 80,000+ behavioral and demographic clusters.
Daily-updated data graph
Both the consumer and business layers refresh daily — so company headcount changes, job title updates, and behavioral shifts are reflected in your next audience pull.
How It Compares
Cross-entity targeting is not available in traditional B2B or B2C data platforms.
| Capability | Exact Match | B2B Platforms (ZoomInfo, Apollo) | Consumer Data Platforms |
|---|---|---|---|
| 250M+ consumer profiles | ✓ Yes | ✗ No | ✓ Yes |
| 60M+ business records | ✓ Yes | ✓ Yes | ✗ No |
| Cross-entity single query | ✓ Yes | ✗ No | ✗ No |
| Consumer behavioral signals | ✓ Yes | ✗ No | ✓ Yes |
| Home contact info (email, address) | ✓ Yes | ✗ No | ✓ Yes |
| Employer + job title filter | ✓ Yes | ✓ Yes | ✗ No |
| Daily data refresh | ✓ Yes | Varies | Varies |
| Pay-as-you-go pricing | ✓ Yes | Annual contracts | Varies |
Powered by Audience ID
Cross-entity audience targeting is built on top of Audience ID — the same platform used to build any consumer audience, now with employer filters layered in.
Audience ID
The core audience-building product. Filter 250M+ consumer profiles across 80,000+ targeting clusters — now with business entity filters included.
Learn morePredict ID
Layer in-market behavioral signals on top of cross-entity audiences. Find professionals who match your employer criteria and are actively in-market right now.
Learn moreYour buyer is a person first. Their employer is context.
Stop choosing between a B2B list and a consumer profile. Build audiences that know both — and activate them through any channel you already use.
Ready to build your first cross-entity audience?
One flat $999/mo (or $6,999/yr) — every product and unlimited credits included. Filter by job title, employer, and consumer profile in a single query — no sales call required.