Website Visitor Identity Resolution

Your Website Has Visitors. We Tell You Who They Are.

One pixel. Up to 496 data points per person. Name, email, phone, income, credit score, home value, and 1,800+ behavioral signals. No form fill needed. You start getting profiles in 24 hours.

Don't have website traffic yet? Build audiences from scratch with Consumer Signals.

How It Works

Six Steps. Anonymous Visitor to Full Profile.

You Install the Pixel

One line of JavaScript on your site. Takes five minutes. No developer required.

Someone Visits Your Site

They come from Google, Meta, a referral link. Doesn't matter. The pixel fires on every page load.

We Capture 89 Signals

Not just their IP address. Browser config, device type, installed fonts, screen resolution, timezone, and dozens of other data points that together create a unique fingerprint. 89 total signals per visit.

We Match Their Identity

Those signals go into our identity graph, a database that cross-references 89 verified data providers in real time. We use deterministic matching, which means we only return a profile when we can confirm it against actual records. No statistical guessing. No probability models. A confirmed match or nothing.

We Build Their Profile

Up to 496 data points come back. Contact info, financials, property, household, vehicle, and behavioral data. All attached to one verified person.

You Get the Data Instantly

Profiles flow to your CRM, ad platforms, or email tools in real time. Ready to use the moment someone hits your site.

Book a Demo
The Technology Layer

Why This Data Is Actually Accurate

Most identity vendors guess. We match against verified records. Here's the difference.

How Most Identity Tools Work

  • × Probabilistic matching. They look at a few data points (usually just an IP address) and run a statistical model to guess who the visitor might be. Think of it like saying "someone in this zip code probably visited your site." It's a rough estimate, not a confirmed identity.
  • × Returns 1 email per visitor, sometimes wrong
  • × No financial data, no behavioral signals
  • × 10 to 25% match rate on average

How Big Easy Data Works

  • Deterministic matching. We collect 89 data points per visitor and cross-reference them against verified records from 89 data providers. A match only happens when we confirm the exact person. No guessing, no probabilities. If we return a profile, we know who it is.
  • Returns up to 3 emails, multiple phones, 496 data points
  • Full financial profile: credit score, income, net worth, home value
  • 50%+ match rate with 75 to 95% contact accuracy
Built on Snowflake for sub-second queries across billions of records
89 fingerprint signals per visitor. IP address is just one of 89 data points we collect.
Identity graph cross-references 89 data providers in real time to confirm matches
95% USA coverage. If your visitor is American, we probably have them.
200 to 496 data points returned per resolved person
1,800+ digital behaviors tracked per profile (what they search, browse, buy)
Data sourced from providers including Equifax, TransUnion, Experian, and 86 others
Equifax TransUnion Experian LiveIntent ZoomInfo + 83 more
Book a Demo
Go Live Fast

You're Live in 1 to 2 Days. Not Weeks.

Day 1: Pixel Installed

One line of JavaScript. Copy, paste, done. No developer required. No engineering team. Five minutes.

Day 1: Data Starts Flowing

Within hours, resolved visitor profiles start appearing. Contact info, financials, property, behavior. All of it.

Day 2: Audiences Activated

Upload hashed audiences to Meta, Google, LinkedIn, TikTok, or push to your CRM. You're running better campaigns by tomorrow.

Customers.ai takes weeks to fully configure. Pearl Diver requires a custom sales cycle. We go live in 48 hours.

What You Get Back

Up to 496 Data Points. Per Person.

Contact Identifiers

  • Full name
  • Email address
  • Phone number
  • Hashed emails (encrypted versions of each email formatted for ad platform upload)
  • Device ID
  • Personal mailing address

Financial Profile

  • Credit score and credit range
  • Household income
  • Net worth
  • Discretionary spending capacity
  • Investment activity (stocks, bonds)
  • Premium income bracket

Property Profile

  • Home value
  • Mortgage rate and type
  • Refinance amount
  • Dwelling type (single family, condo, etc.)
  • Bedrooms and bathrooms
  • Length of residence and purchase date

Household Profile

  • Number of people in household
  • Children present and ages
  • Marital status
  • Religion
  • Political affiliation
  • Ethnicity

Vehicle Data

  • VIN number
  • Make, model, year
  • Ownership history
  • Buy vs. lease behavior
  • New vs. used preference
  • Number of vehicles

Behavioral and Interest Data

  • 1,800+ tracked digital behaviors
  • Brand and category affinities
  • Online purchase behavior
  • Search keyword patterns
  • Connected devices
  • Last seen activity timestamp
Real Example

Here's What a Resolved Visitor Profile Looks Like

When someone visits your website, our pixel captures their device signals and matches them against verified records. Here is what comes back. This is a single resolved profile showing how contact info, financial data, property details, and behavioral signals all attach to one person.

Contact

Name:
Sarah Mitchell
Emails:
s.mitchell@gmail.com, sarah.m@outlook.com, smitchell@workco.com
Phones:
(504) 555-0147, (504) 555-0293
Hashed:
SHA-256, MD5, SHA-1 (three encrypted formats that ad platforms use to match your data to real users)
Address:
4218 Magazine St, New Orleans, LA 70115

Financial

  • Credit Score: 742 (Good)
  • Household Income: $118,000
  • Net Worth: $340,000
  • Home Value: $425,000
  • Homeowner: Yes

Property

  • Dwelling: Single Family
  • Bedrooms: 3 / Bathrooms: 2
  • Year Purchased: 2019
  • Mortgage Rate: 3.2%

Behavioral (12 of 1,800+ signals)

  • Searched "kitchen remodel" 3x in last 14 days
  • Interest: Home improvement, interior design
  • Visited competitor sites in last 7 days
  • Active on Meta, Google, YouTube

This is a representative example. Actual profiles contain up to 496 data points across contact, financial, property, household, vehicle, and behavioral categories. All personally identifiable information is hashed before transmission to ad platforms.

Book a Demo
Where You Use It

Turn Visitor Data Into Revenue

Meta (Facebook & Instagram) Upload audiences. Retarget the exact people who visited your site.
Google Display Build custom audiences from your resolved visitor list.
YouTube Show video ads to people who already browsed your pages.
LinkedIn Match visitor emails to LinkedIn profiles for B2B targeting.
TikTok Push hashed emails directly into TikTok custom audiences.
Cold Email Email the people who visited your site today. With their real email.
Direct Mail Send a postcard to someone who viewed your pricing page yesterday.
CRM Push Profiles flow straight into GoHighLevel, HubSpot, or Salesforce.
Amazon DSP Programmatic display and video ads across Amazon's inventory.
The Trade Desk / CTV Reach your visitors on streaming TV through programmatic buys.
Snapchat Push hashed audiences into Snapchat for paid ad targeting.
Pinterest Target your resolved visitors with paid ads on Pinterest.
Programmatic DSPs Display and video ads across thousands of sites and apps.
Roku / Samsung / Hulu CTV ads on the biggest streaming platforms. Reach viewers at home.

Our 9+ identifier architecture is why match rates are higher on every platform.

Results

Real Numbers. Real Clients.

61% Lower Cost Per Lead National annuities company. Same budget, 61% cheaper leads.
190% More Leads. Same Spend. No extra ad budget. Just better data feeding the same campaigns.
30% Visitor Match Rate Up to 30% of anonymous visitors resolved to real people with contact info.
See All Case Studies

Read the full case studies.

How We Compare

Big Easy Data vs. the Tools You're Probably Evaluating

If you're shopping identity resolution tools, you'll see a lot of the same claims. Here is a side-by-side comparison based on verified features. "Match Rate" is the percentage of your website visitors that get matched to a real, verified profile with usable contact info. "Recency Filter" means you can filter audiences by how recently they showed intent (searched yesterday vs. searched six months ago).

Feature Big Easy Data Opensend Retention.com Customers.ai Pearl Diver
Real Match Rate 50%+ ~20% 16-25% Varies ~25%
Emails Per Profile 3 1 1 1 1
Phone Numbers Multiple
Financial Data Full (credit, income, home value)
Recency Filter Yes (24-hour)
Frequency Filter Yes (2x/3x in 30 days)
YouTube
LinkedIn Partial
TikTok
Setup Time 1-2 days Days Days Weeks Custom
Contract Month-to-month Month-to-month Annual required Month-to-month Custom
GoHighLevel Native
Price Surprises No Reported N/A 140% increase reported Recent increase

See the full comparison across 33 mapped competitors.

What Happens Next

Three Steps. You're Live.

1. Book a 15-Minute Call

We learn your goals, traffic volume, and activation channels. No pitch deck. Just questions.

2. We Install Your Pixel (5 Minutes)

One line of JavaScript. Copy, paste, done. No developer needed.

3. Profiles Start Flowing Within 24 Hours

Real visitor data in your CRM or ad platforms. Names, emails, phones, financials.

No annual contract. No setup fee. Month-to-month.

Book a Demo
FAQ

Common Questions About Identity Resolution

Google Analytics tells you someone visited your pricing page. Our pixel tells you it was John Smith, age 42, from Dallas, with a 720 credit score, a $380K home, and a Gmail address you can email today. Analytics tracks behavior. We identify the person behind the behavior.

Yes, it's legal. We use deterministic data matching through verified, opted-in data providers. Every record in our identity graph comes from sources that comply with applicable U.S. privacy regulations. This is not scraping. It's matching against existing consumer data that has already been permissioned.

Copy one line of JavaScript. Paste it on your site. That's it. No developer needed. Most clients are live and receiving visitor profiles within 24 hours.

Yes. We push data natively into GoHighLevel. For HubSpot, Salesforce, Klaviyo, or any CRM that accepts webhooks or API calls, we connect in minutes. Your resolved visitor profiles show up as new contacts, automatically.

Most clients see 15% to 30% of anonymous visitors matched to full profiles. The exact rate depends on your traffic. U.S. traffic with real humans (not bots) matches highest. If you're running paid ads to U.S. audiences, expect to be at the higher end of that range.