Match visitors to the graph: the companies today, and the people with everything the graph knows about them when you want them.
Read more →The identity graph · what every product reads from
Everything we keep up with, on roughly every US adult and the company they work for.
Identity240M people, one record eachEmail · SHA-256, SHA-1, MD5Phone · DNC checked · quality 9/10IDFAAAIDIP linkageUSPS-validated addressLatitude and longitudeLinkedIn URLFacebook URLX URLGitHub URLLast seen in networkConsumer ID ↔ Business ID
Work120M businesses, and the people in themTitle · Director of OperationsSeniority · VPDepartment · MarketingJob-change flagCompany · 51 to 200 employeesRevenue $10M to $50MNAICS 6212SICG2 categoriesTech stack · HubSpot, StripeGoogle Maps dataPrivately held
Household & propertyAbout 250 fields on where they liveHome ownerHome value est. $640KMortgage: yesYear builtDwelling typeLength of residence · 11 yearsMarried · children at homeAge 45 to 54Census tract and block groupPlacekeyUSPS delivery pointCarrier route
FinanceModeled estimates, never for eligibilityIncome $150K to $175KNet worth $500K+Credit range: high (modeled)Premium cardActive investorCRA income tierCard types heldInvestments
Vehicle & purchaseEvery vehicle in the garage, how and what they buy2022 Lexus RX · purchased newVINTrim, body, fuelMSRPLienPredicted purchase dateOnline buyerCatalog and mail-order buyerClub membershipsContinuity programsMerchandise categoriesSpend totals
AffinityAbout 130 interest and reading flagsGolfFitnessPets · dogsInternational travelCookingInvestingReads financial newsHome improvementOutdoorsBoatingCraftsGardening
Donor & politicalWho gives, to what, and how they leanLikely donorCauses · educationCauses · animal welfareNumber of charitiesAverage giftRegistered voterModeled leaningPolitical donorFollows current affairs
Area & censusThe block they live onMedian incomeMedian home valuePopulation densityIncome rankEducation rankSocial rankCrime indicesCommuteOccupation mixIAB category codes
Intent65K topics, scored daily on the person and the companyDental practice management softwareRoof replacementHR softwareRefinanceCRM migrationComparing visitor ID toolsPayroll switchingCommercial HVACSmall business loansPatient scheduling toolsBenefits brokerFleet software
The bundles
Open a box. See what it holds and which products read it.
The person, the business behind the person, and what they are researching this week. Every box is a table in the public data dictionary.
Consumer PersonThe spine
One row per person: name, validated primary address with latitude and longitude, gender, age range, generation, marital status, children, home owner, income and net worth bands.
NameValidated primary addressLatitude and longitudeGenderAge rangeGenerationMarital statusChildren at homeHome ownerIncome bandNet worth band
Read by Website ID, Ad Audiences, Enrich, US Consumer Data, Direct Mail.
Open this table in the data dictionary →EmailsEvery address, hashed and plain
Each email with its domain, SHA-256, SHA-1 and MD5 hashes, and the date it was last seen in network.
EmailDomainSHA-256SHA-1MD5Last seen in network
Read by Enrich, B2B Data, Ad Audiences, Smart Exclusion.
Open this table in the data dictionary →PhonesChecked before you see them
Carrier, do-not-call status, work or personal, last seen, and a 0 to 10 quality level on every number.
NumberCarrierDo-not-call statusWork or personalQuality 0 to 10Last seen
Read by Enrich, B2B Data, US Consumer Data.
Open this table in the data dictionary →DevicesMobile ad IDs and IPs
IDFA and AAID device IDs, each with the IP address and the hashed email it is linked to.
IDFAAAIDLinked IP addressLinked hashed email
Read by Website ID, Ad Audiences, Smart Exclusion.
Open this table in the data dictionary →SocialsProfiles
LinkedIn, Facebook, X and GitHub profile URLs, more than one per network where a person has them.
LinkedIn URLFacebook URLX URLGitHub URL
Read by Website ID, B2B Data, Enrich.
Open this table in the data dictionary →Household & propertyAbout 250 fields on where they live
Parsed address, USPS delivery point and carrier route, Placekey, census tract and block group, and the property and residence detail behind the home.
Parsed addressUSPS delivery pointCarrier routePlacekeyCensus tract and block groupDwelling typeYear builtHome valueMortgageLength of residence
Read by Direct Mail, US Consumer Data, Ad Audiences, Enrich.
Open this table in the data dictionary →FinanceModeled, not a credit report
Estimated household income and net worth, credit range, card types held, investments, CRA income tier. Marketing estimates, never for eligibility decisions.
Estimated household incomeEstimated net worthCredit range (modeled)Card types heldInvestmentsCRA income tier
Read by Ad Audiences, US Consumer Data, Enrich.
Open this table in the data dictionary →VehicleEvery vehicle in the garage
VIN, year, make, model, trim, body, fuel, MSRP, bought new or used, lien, predicted purchase date.
VINYear, make, model, trimBody and fuelMSRPBought new or usedLienPredicted purchase date
Read by Ad Audiences, Direct Mail, US Consumer Data.
Open this table in the data dictionary →PurchaseHow and what they buy
Online, catalog and mail-order buyers, continuity programs, club memberships, dozens of merchandise categories and spend totals.
Online buyerCatalog and mail-order buyerContinuity programsClub membershipsMerchandise categoriesSpend totals
Read by Ad Audiences, Direct Mail, US Consumer Data.
Open this table in the data dictionary →AffinityInterests and reading
About 130 interest and reading flags: golf, fitness, pets, travel, cooking, investing, financial news and more.
GolfFitnessPetsTravelCookingInvestingFinancial newsAbout 130 flags in all
Read by Ad Audiences, Enrich, Direct Mail.
Open this table in the data dictionary →DonorWho gives, and to what
Likely donor, causes supported from animal welfare to veterans, number of charities, donations made, average gift.
Likely donorCauses supportedNumber of charitiesDonations madeAverage gift
Read by US Consumer Data, Direct Mail, Ad Audiences.
Open this table in the data dictionary →PoliticalRegistration and leaning
Registered voter, modeled leaning, political donor flags, follows current affairs.
Registered voterModeled leaningPolitical donorFollows current affairs
Read by US Consumer Data, Ad Audiences.
Open this table in the data dictionary →Area & censusThe block they live on
Median income and home value, population density, income, education and social ranks, crime indices, commute and occupation mix for the census area.
Median incomeMedian home valuePopulation densityIncome, education and social ranksCrime indicesCommuteOccupation mix
Read by Ad Audiences, Direct Mail, US Consumer Data.
Open this table in the data dictionary →IABCategory interest
IAB codes captured from activity, with the capture date.
IAB category codeCapture date
Read by Ad Audiences, Pulse.
Open this table in the data dictionary →Business person & company120M businesses, and the people in them
One row per person at their current employer: LinkedIn, title, seniority, department, job-change flags, a link to the consumer record. Company firmographics (SIC, NAICS, G2 category, size, revenue, headquarters) and insights (technologies, headcount by function, open roles).
LinkedInTitleSeniorityDepartmentJob-change flagsConsumer record linkSIC and NAICSG2 categoriesRevenue and employeesTech stackGoogle Maps data
Read by Website ID, B2B Data, Pulse, Enrich.
Open this table in the data dictionary →Intent & linkagesWhat they research, and how the keys join
Consumer and B2B topic tables with plain-language descriptions, scored daily, plus the Audience Matrix and the HEM-IP, HEM-MAID and IP-MAID tables that join every identifier to a person.
65K consumer and B2B topicsDaily topic scoresPlain-language topic descriptionsAudience MatrixHEM-IPHEM-MAIDIP-MAID
Read by Pulse, Ad Audiences, Custom Intent Feeds, Website ID.
Open this table in the data dictionary →16 tables. The full field lists, types and allowed values are in the public data dictionary, one click from each box.
Every way to read it
Now pick the way in.
Each capability works in the app, by REST API and over MCP, and reads from this graph. The license is scoped with a sales rep.
Build from any field or intent topic and sync as SHA-256 hashes to Meta, Google, TikTok, DSPs and CTV.
Read more →Match your customer file to the graph, expand it to every identifier, and exclude it on every ad platform as new orders come in.
Read more →Waterfall match your CSV or CRM and add bundles in order, with the match rate shown first.
Read more →Weekly or daily intent flags on the records you already own, with topic, strength and first-seen date.
Read more →120M businesses and the people in them, validated emails and phones, tech stack and intent.
Read more →Build a segment of US adults with live counts and export it: hashes and basics first, the full person as you move up.
Read more →Build the drop from any field or intent topic, approve a proof, and we print, mail and match back the orders.
Read more →People comparing you with a named competitor this week, with contact details, through sales.
Read more →Agencies and resellers start on the Agency DaaS plan, scoped with a sales rep. Enterprise licenses the graph itself, from $50,000 a year, after a proof of concept on your own data.
See it on your own data
Run the graph against your traffic, list or CRM.
A sales rep does it with you on a 15-minute call, and you keep what it finds. The data dictionary stays open to everyone.
Book a free demo
Browse the data dictionary
Enterprise agreements are annual, from $50,000. Agencies start on the Agency DaaS plan from $997 a month, through sales.