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The product

ID Max: the highest match rate you can trust.

Usage-based identity resolution that maximizes the match rate of any first-party matching process. It resolves every durable, real ID associated with a person or household, and validates each linkage as it resolves. Black-box graphs model probabilities to hit match-rate targets. ID Max validates as it resolves, so the max is also the truth.

Three promises

Maximize. Validate. Control.

MAXIMIZE

The most matches possible

Typically a 40–200% lift in validated match rates vs. your status-quo first-party matching, because ID Max resolves every durable, real ID for a person and household rather than only the one you happened to collect.

VALIDATE

Every one of them real

The only identity matching service that validates as it resolves: every linkage independently scored against Truthset’s Validation Sets, deterministic ground truth spanning 1.4M US consumers, and graded into Data Ratings tiers (AAA–B) anchored to census.

CONTROL

You set the accuracy bar

Transparent and configurable. Tune the accuracy threshold by use case, tightening it for measurement and opening it for reach, and always know which matches are which.

YOUR FILE emails · phones names · postals ID MAX RESOLVE 1:1 match Mastergraph 302M people EXPAND Reach growth Person ID & Household ID VALIDATE AAA–B grading every linkage scored UNDERSTAND 25+ attributes Data Rated Audiences VALIDATED AUDIENCE activates anywhere one service · usage-based · you set the accuracy bar
ID Max service architecture. One validated pipeline from your file to activation.
Resolve · powered by Mastergraph

1:1 resolution against a graph of graphs.

ID Max resolves first-, second-, and third-party data 1:1 against Truthset’s Mastergraph: 302 million Person IDs and 129 million households, at census scale.

It runs on declared PII only. Email, phone, name and postal address. Never a cookie, MAID, IP, or CTV ID, so nothing in the match ages out as the ecosystem shifts.

Every number in the graph comes from cross-checking 24+ Data Collective providers against each other rather than taking one provider’s word for it. If one provider’s data drifts or the relationship ends, the graph absorbs it. If a new source emerges, it gets evaluated in.

MEET THE DATA COLLECTIVE →
302M

validated people

129M

validated households

5B

emails contributed & cross-validated

140M

postal addresses

24+

providers in the Data Collective

AAA–B

Data Ratings tiers, most files land in AAA

DATA COLLECTIVE provider 01 provider 02 provider 03 ⋮ provider 24+ 5B emails · 140M postals 25+ attributes cross-validated against each other MASTERGRAPH 302M validated people 129M validated households PII only, no device IDs every linkage graded FILE VOLUME BY TIER AAA AA A B most files land in AAA VALIDATION SETS our ground truth panel 01 · declared panel 02 · declared holdout group 1.4M US consumers independent · multisourced trains the scoring · tested vs. holdout If one provider’s data drifts or the relationship ends, the graph absorbs it. New sources get evaluated in.
A graph of graphs. Providers cross-checked against each other and scored against Validation Sets of deterministic ground truth covering 1.4M US consumers, tested vs. holdouts.
The household multiplier

One email in. The whole reachable household out.

Your file holds one email per customer, usually the one they typed at checkout. People run on several addresses. Checkout against login, personal against business, purpose-specific inboxes, and churn under all of them.

Status-quo matching finds the one string you collected, or nothing. ID Max resolves the string to the person, returns every validated email that person actually uses, then every validated ID for the adults in their household, where purchase decisions actually get made.

That’s the arithmetic behind the lift: 4.5 validated emails per person and 10.1 per household. The match you were about to lose to email divergence becomes a person; the person becomes a household; the household becomes reach you already earned but couldn’t see.

It’s also why the lift is largest exactly where your file is weakest, on older CRM records, single-channel signups and checkout-only addresses.

ID Max audience builder: 499,999 hashed emails uploaded, 400,985 matched (80.2%), resolving to 400,110 people and 396,581 households; extending the list grows it 3.7x with more emails for matched people and 7.6x with household expansion, to 3,793,949 emails
ID Max in action. 499,999 emails in: 80.2% matched, 3.7× with the person’s other emails, 7.6× with household expansion.
Expand · powered by Data Rated Audiences

Grow past your file without diluting it.

SEE THE DATA RATED AUDIENCES PRODUCT PAGE →

Once your file is resolved and validated, ID Max extends it with multi-sourced records from the Data Collective, participating providers representing 95% of the U.S. Census, with each incremental record scored and filtered before it joins your audience.

Expansion is configurable rather than a black-box lookalike. Include or suppress your originals, expand toward census-representative targets, and keep the same Data Ratings grading (AAA–B) on every added record that your matched file carries.

MODULE

Demographic Profile

A validated demographic and identity read on the audience you already have, before you spend against it.

MODULE

Seed Expansion

Grow from your matched seed with validated Collective records. Originals included or suppressed, your call.

MODULE

Census-Target Reach Expansion

Build toward a census-representative target straight from the Data Collective when your seed isn’t the ceiling you want.

Validate · powered by Data Ratings

Every linkage carries a score.

Data Rated Identity grades every source and every incremental linkage into Data Ratings tiers (AAA–B) against Truthset’s Validation Sets: independent, multisourced panels of deterministic, declared data covering 1.4M US consumers. That is the ground truth that trains the scoring model, with results tested against a holdout group and benchmarked to census. Grading is what separates a validated match from a modeled one, and it is independent.

Black-box graphsID Max
AccuracyInaccurate and opaque. Unknown mistakes, zero controlTransparent and configurable. You set the accuracy bar
PeopleInflated audiences. Errors counted as reachValidated IDs. Real people
ScaleAccuracy traded away for reach (or reach for accuracy)Maximum validated ID scale at 95% U.S. Census coverage
Proof“Trust our match rate”Every linkage graded into Data Ratings tiers by an independent referee
Understand · powered by Consumer Demographic Insights

Know who you matched, and prove it.

Every resolved audience carries 25+ demographic attributes, cross-validated across the Collective rather than copied from one vendor’s file. The audience you activate is the audience you can describe to a client, defend to a measurement partner and price to a buyer, with error rates you have seen rather than assumed.

ID Max demographic insights: customer profile for 499,999 analyzed customers at an 89.8% match rate, with top segments by dimension (gender, age, income, region, home ownership, education) and full distributions for gender, age, and household income
The customer profile behind the match. Top segments and full distributions across 25+ validated attributes.
Where it activates

One hop, from your file to the screen.

ID Max audiences are keyed to declared PII, the identifiers every serious platform matches on directly. There is no cookie, MAID, IP or CTV ID in the chain to deprecate, drift or get re-keyed by an intermediary, so the file you validated is the file that activates.

Data Rated Audiences are integrated directly into The Trade Desk, Yahoo, Magnite, FreeWheel and Databricks, with the stack interoperable across dozens more marketplaces, DSPs and publishers. Resolution also runs inside Snowflake and Databricks, so nothing has to move to get matched.

PUBLISHERS Paramount Roku Meta Google Amazon Spectrum MARKETPLACES The Trade Desk FreeWheel ID MAX Validated Audiences Person- & HH-matching 1:1 PII integrations Magnite Yahoo DATA PLATFORMS Snowflake Databricks AWS + dozens of marketplaces, DSPs & publishers, every connection one validated hop
Publishers up top, marketplaces beside, data platforms below, all connected with one validated hop.
DEMAND

DSPs

The Trade Desk and dozens of DSPs and marketplaces, with validated audiences available where the buy is made.

SUPPLY

SSPs & publishers

Magnite, Yahoo and authenticated publishers, with graded audiences on the sell side.

CTV

CTV & streaming

FreeWheel, with Data Rated Audiences live inside the ad-buying platform, plus Roku and Paramount.

DATA CLOUDS

Warehouses & clean rooms

Snowflake and Databricks, resolving and validating where your data already lives.

SOCIAL

Social platforms

Validated seeds into Custom Audience facilities, the same validated people inside the platforms’ own match flows.

EVERYWHERE ELSE

Marketplaces & more

Dozens of marketplaces, DSPs and publishers, and growing. If your platform is not listed, ask.

How you buy it

Usage-based. Pay for validated matches, not promises.

ID Max is priced on usage: you pay per validated match, not a platform fee for a black box. Start with a free Match Test on up to 100K records, see your validated lift on your own file, then scale from there, directly, through your agency, or embedded in the platforms you already use.

START WITH THE FREE MATCH TEST →
Get started

Request your free Match Test.

See your validated number on your own file.

Free Match Test · up to 100K records · report in days
Request your Match Test