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A transparent inventory of scale: how many profiles we maintain, how intent moves through the system, and how enriched records compare to the full graph. Figures reflect internal inventory snapshots; availability in your workspace depends on plan, region, and compliance configuration.

Last updated: 2026-04-11

Headlines

Order-of-magnitude view of the graph and intent pipeline.

  • Total person profiles

    4.4B+

    identity graph

  • Total data points

    42B+

    across the graph

  • Daily intent signals

    33–38B

    processed per day

  • People with buying intent / day

    72.9M

    unique individuals

  • Intent topics / keywords

    20,810

    catalog breadth

  • US enriched profiles

    315.2M

    Falcon / enriched (United States)

Intent pipeline (conceptual)

33–38B signals / day in
175B+ active rolling window (7d TTL)
72.9M people tracked / day

Did you know?

Line up every profile shoulder-to-shoulder and the queue reaches the Moon and back three times — about 6× the Earth–Moon distance.

Did you know?

A human blink lasts ~100ms. Resolving someone out of 4.4B+ identities can finish in less than that — tens of milliseconds for a graph lookup.

Person & contact data

Coverage (full graph)

Data type Records
Total person profiles 4.4 billion+
With personal email 389.9 million
With LinkedIn profile 355.4 million
With mobile phone 409.9 million
With any phone number 462.2 million
With company affiliation 452.7 million

Enriched profiles (Falcon — freshest source, updated Feb 2026)

Data type Records
Total enriched profiles 444.6 million
With business email 209.4 million
With personal email 234.9 million
With LinkedIn profile 198.3 million
With mobile phone 251.8 million
With any phone number 303.3 million
With residential address 196.1 million
With zip code 193.2 million
With company info 267.8 million
With demographic data (age, income, gender) 211.8 million

Record anatomy

Up to 102 fields per person

One identity graph record combines identity, contact points, employer context, locations, and behavioral flags. Strip height is proportional to how many discrete attributes we model in each group.

Attribute groups
10
Modeled attributes (max)
~102

By category

Each pill is a distinct column or derived signal on the person object.

  • Identity

    5 fields
    First name Last name Middle name Photo LinkedIn URL

  • Contact — email

    5 fields
    Business email Personal email All emails Validated emails Email validation status

  • Contact — phone

    6 fields
    Direct dial Mobile Office phone Personal phone DNC flags Validation status

  • Contact — hashed IDs

    3 fields
    SHA-256 SHA-1 MD5 (+ case variants)

  • Professional

    8 fields
    Job title Normalized title Title history Seniority Department Sub-departments Job functions Headline

  • Company

    11 fields
    Name Domain Industry NAICS SIC Headcount Revenue range Founded year Description Company LinkedIn Related domains

  • Company location

    5 fields
    HQ address City State ZIP Country

  • Personal location

    5 fields
    Address City State ZIP Country codes

  • Demographics

    7 fields
    Gender Age range Income range Net worth Homeowner Marital status Children

  • Digital profile

    5 fields
    B2B flag B2C flag Social connections Education history Years of experience

Seniority breakdown

Same ladder, two depths: Falcon enrichment vs the full identity graph. Stripe height is proportional to millions in each band.

Seniority mix

Two graphs, one org chart

Compare how seniority mass shifts when you look at enriched Falcon rows vs the entire resolvable graph.

Bands shown
6
CXO + VP + Director (Falcon)
32.0M
CXO + VP + Director (full)
66.6M

By level

Millions per band — Falcon (enriched) vs full graph.

  • Staff

    Falcon 127.6M Full 234M

  • Manager

    Falcon 43.6M Full 66.6M

  • Director

    Falcon 13.2M Full 23.6M

  • C-Suite (CXO)

    Falcon 14.3M Full 30.2M

  • VP

    Falcon 4.5M Full 12.8M

  • Other

    Falcon 22.9M Full —

United States coverage

Enriched profile depth in the United States (millions).

United States 315.2M
Enriched profiles (United States)
315.2M

Company data

Unique domains

11.4M

Unique company names

13.3M

Industries represented

559

  • Companies with revenue data: millions
  • Companies with employee count: millions
  • Companies with NAICS/SIC codes: millions
  • Firmographic fields per company: 15+ (industry, size, revenue, location, description, funding, tech stack)

Intent signal data

Ingest volume, rolling retention, people reach, and catalog breadth — with a proportional stack for the big movers.

Intent volume

What moves through the pipe

Strip height uses illustrative relative weights (not literal billions-to-pixels). It shows which layers dominate the system: ingest, 7-day window, daily people, and keyword breadth.

  • IN — Daily ingest (33–38B)
  • 7D — Active window (175B+)
  • ID — People / day (72.9M)
  • KW — Keywords (20.8K)

Full metrics

Operational numbers, scoring, and retention.

Metric Value
Signals in active database 175B+ (rolling 7-day, TTL)
Daily signals ingested 33–38 billion
Unique people tracked per day 72.9 million
Intent topics / keywords 20,810
Topic industries 421
Topic categories 17
Score range 34–99 (percentile)
Data retention Rolling 7 days
Refresh frequency Every 30 minutes

Topic mix

Share of catalog by audience mode.

  • B2B topics
  • B2C topics
  • B2B + B2C

Audience building & performance

ICP filtering dimensions (20 filters) and typical query latencies. Stripe height in the panel reflects rough option cardinality.

Filter surface

ICP anatomy

Taller bands = more granular choice (e.g. industries, regions). Short bands = binary or small enums.

Filter dimensions
20

By dimension

Expand for the full list of audience-building axes.

20 ICP dimensions Tap to show or hide details

  • Company industry

    559 industries

    559 values

  • Seniority level

    C-Suite, VP, Director, Manager, Staff

    5 values

  • Department

    36 departments

    36 values

  • Country

    United States

    12 values

  • State / region

    US states & DC

    205 values

  • Company size

    12 employee ranges

    12 values

  • Company revenue

    11 revenue bands

    11 values

  • Age range

    7 brackets

    7 values

  • Income range

    10 bands

    10 values

  • Gender

    Male, Female, Other

    3 values

  • Homeowner

    Yes / No

    ≤2 values

  • Has children

    Yes / No

    ≤2 values

  • B2B profile

    Yes / No

    ≤2 values

  • B2C profile

    Yes / No

    ≤2 values

  • Has business email

    Yes / No

    ≤2 values

  • Has personal email

    Yes / No

    ≤2 values

  • Has LinkedIn

    Yes / No

    ≤2 values

  • Has phone

    Yes / No

    ≤2 values

  • Has mobile

    Yes / No

    ≤2 values

  • Data freshness

    Date range

    8 values

Performance

Operation Speed
Single person lookup < 100 ms
Audience count preview 10–120 ms
Full audience build 3–7 seconds
Cached audience read ~100 ms
Batch resolution (10K identifiers) < 1 second
Text search (job title, company name) 200 ms – 1 second

Data freshness

Source Last updated Refresh cycle
Intent signals Real-time (rolling 7 days) Every 30 minutes
Enriched person profiles (Falcon) February 2026 Periodic vendor refresh
Identity graph Continuously maintained Ongoing
Topic catalog April 2026 As needed

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