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Orrun Atlas · Consumer Data

The graph under everything.

A deep U.S. consumer and business graph that powers segmentation, lookalikes and enrichment across Orrun.

Profile · attribute graphIllustrative

The problem

Thin data makes blunt audiences.

A name and a zip code cannot tell an owner from an employee, or a household with liquidity from one without. Targeting on thin records produces lists that look right and perform like noise.

U.S. consumer profiles
240M+
Business contacts
110M+
Consumer attributes
400+

What it does

Orrun Atlas, in four parts.

01

Demographics & household

Age, household composition, homeownership, education and length of residence.

02

Wealth indicators

Income, home value and net-worth proxies, treated as signals, never as verification.

03

Lifestyle & purchase behavior

Interests, affinities and spending patterns that sharpen who a person is beyond a title.

04

Reachable

Postal, email, phone and digital identifiers so an audience can actually be activated.

How it works

From setup to signal.

  1. STEP 01

    Resolve identity

  2. STEP 02

    Attach attributes

  3. STEP 03

    Model and segment

  4. STEP 04

    Activate

Where it plugs in

Orrun ArrayOrrun LedgerOrrun BeaconLookalike modeling

Request a demo

See your market, live.

Bring the file you use today. We will show you what it looks like re-resolved against a live graph, with owners, in-market flags and suppression applied.