Two things your customers ask you for. Match more of what they bring you, and stock audiences that are worth what you charge for them. ID Max does the first as infrastructure. Data Rated Audiences does the second as inventory.
Files arriving on your platform carry whatever identity their owner happened to collect. ID Max resolves each one 1:1 against 302M validated Person IDs and 129M households, extends it to every durable ID for that person, and grades each linkage into Data Ratings tiers before your product uses it.
Your customers see a 40–200% lift in validated matches without changing how they work, and the lift is validated rather than modelled, so a bigger number does not quietly mean a worse one.
Because it runs on declared PII only, no cookie, MAID, IP or CTV ID sits in the path to deprecate, drift or get re-keyed by an intermediary. The integration you build this year does not need rebuilding when the next identifier dies.
Resolution also runs where the data already sits, inside Snowflake and Databricks, so nothing has to move to get matched.
Most third-party audiences on a marketplace arrive with a name, a count and a promise, and they all price the same because a buyer has no way to tell them apart. Data Rated Audiences carry a Data Ratings tier on every record, scored against deterministic ground truth.
That gives your buyers a reason to pay a premium and gives you a shelf that differentiates on something other than price. Data Rated Audiences are already integrated into The Trade Desk, Yahoo, Magnite, FreeWheel and Databricks.
SEE DATA RATED AUDIENCES →
The full ID Max stack is interoperable across dozens of marketplaces, DSPs and publishers, with every connection running as one validated hop from the file to the screen.
That number is the market’s open secret, and it lands on the good graphs alongside the bad ones. Independent grading is how you prove yours is the exception. Submit to Data Rated Identity grading, publish the Data Ratings tier distribution, and let accuracy become pricing power.
Sources: CIMM identity benchmarking research (commissioned by Truthset); Truthset State of Data Accuracy 2026. Dollar-survival and lift figures are Truthset estimates measured against status-quo first-party matching baselines.