What does GSDSI's audience targeting solution include?

Identity-resolved audience segments built from 301M consumer records, 200M+ identity-graph linkages, daily MAID and ACR signals, and clickstream intent. Activation across DSPs, CTV, social, direct mail, and clean rooms. Custom audiences are built from seed lists or attribute combinations within 24-48 hours.

Yes. Activation pivots are HEM, MAID, household ID, and IP, not third-party cookies. The identity graph weights toward identifier types unaffected by browser or OS cookie restrictions, so audience builds and onboarding remain stable as cookies continue to deprecate.

How are audiences activated to ad platforms?

As hashed-identifier audiences delivered into the major DSPs (TTD, DV360, Yahoo, Amazon DSP), CTV platforms (Roku, Samsung, LG, Vizio), social (Meta, TikTok, LinkedIn where audiences are permitted), and clean rooms (AWS, Snowflake, InfoSum). Standard turnaround is 24-48 hours from audience definition.

Can audiences be built from a client's seed list?

Yes. Send a hashed-identifier seed (HEM, MAID, postal, minimum 1,000 matched records recommended), and GSDSI returns a ranked lookalike audience plus a similarity-score distribution. Buyers pick the threshold per use case to trade reach against precision.

Is audience-build privacy-safe?

Yes. Hashed-identifier matching is the default; cleartext PII never crosses the wire unless contractually required. Clean-room workflows are supported for regulated industries (healthcare, financial services). Per-state opt-out and do-not-sell signals are honored at file-generation time.

Privacy-Safe Audience Targeting (Cookieless)

Since 2018

Privacy-safe enterprise data

VOSB & SDVOSB

U.S. Veteran-Owned, Service-Disabled

SCC Transfers

EU/UK/CH per privacy policy

GDPR · CCPA · CPRA

Consent-first data sourcing

Overview

GSDSI (Global Source Data Solutions Inc.) combines deterministic and probabilistic signals from mobile, web, CTV, and location sources to build high-fidelity audience profiles. Our Audience Targeting solution delivers precision at scale: the right person, at the right time, on the right channel. Audience data is licensed in writing, with permitted uses defined per engagement, and our privacy program is built around CCPA/CPRA and the state privacy acts. Powered by ~200M+ U.S. MAID-to-HEM identity pairs, 700M+ international device IDs across 150+ countries, and ~13-14M monthly CTV IDs for cross-screen activation.

Buying guide

Use this guide when you’re comparing vendors or documenting diligence. It’s built to be linkable (and citeable) without overlapping the product pages.

Identity resolution buying guide

Request API key + JSON sample

If you’re evaluating implementation, we can share sample payloads, join keys, and delivery options (S3/SFTP/Snowflake) for your use case.

Request API key + JSON sample Developer hub

At a glance

What you get

Onboarding-ready identifiers for activation and suppression.
Cohort sizing + match-rate measurement during evaluation.
Cross-device scaffolding for downstream measurement.

How it’s sourced

Consent-aware sourcing with documented use restrictions.
Exclusions and opt-out handling for compliance posture.
Refresh/decay expectations for linkage stability.

How you buy it

Matched sample against your seed audiences.
Confirm join keys + delivery path.
Scale into production licensing by geography/use case.

Identity graph Pilot process Sourcing methodology

Use Cases

Programmatic advertising activation
Lookalike & seed audience modeling
Cross-device & CTV audience targeting
Retail & QSR customer acquisition

Key Benefits

Reduce wasted ad spend
Reach verified, real-world audiences
Privacy-compliant identity resolution
Omnichannel activation across major DSPs

How Audience Targeting Works

GSDSI's audience targeting solution combines Mobile Advertising IDs (MAIDs), CTV viewership signals from Automatic Content Recognition (ACR), clickstream web intent data, and GPS-derived location intelligence into unified consumer profiles. These multi-signal profiles are built with deterministic matching that links real-world behaviors (store visits, content consumption, web browsing) to anonymized device identifiers. Audiences can be activated programmatically across every major DSP, SSP, and walled garden, with segments refreshed weekly to reflect current consumer behavior rather than stale demographic assumptions.

Why Multi-Signal Targeting Matters

Traditional audience targeting relies on declared demographics and third-party cookie data, both of which suffer from accuracy problems and looming deprecation. GSDSI's approach fuses observed behavioral signals, like what consumers actually watch, browse, visit, and purchase, to create segments grounded in real-world activity. Multi-signal audience data can reduce wasted spend and improve measured outcomes versus demographic-only targeting when the pilot is scoped to the buyer’s real join keys and endpoints. Higher match rates, lower cost-per-acquisition, and measurable lift in foot traffic attribution are common goals of a well-designed evaluation.

Recommended Data Products

CTV / Smart TV (ACR) Feed

Automatic Content Recognition signals from smart TVs for measurement and cross-channel attribution.

MAID Feed

Global anonymous mobile advertising IDs enriched with app activity and interest signals.

Clickstream & Web Intent Data

Session-level web behavior to model consumer intent and engagement.

Euclidean Feed

Unified cross-channel dataset linking mobile, CTV, and CPG for closed-loop attribution.

Implementation checklist

Teams that operationalize this solution move faster by defining join keys, match-rate targets, and governance up front. If you need audit-ready provenance and exclusions, start with our methodology page.

Define the endpoint: activation, measurement, research, or risk model.
Set match-rate targets for your audience and geography.
Pick delivery: SFTP/S3/Snowflake/API; Parquet/CSV/JSON.
Governance: exclusions, retention, opt-out/deletion SLAs, permitted uses.

Request a Quote Sourcing methodology Talk to solutions engineering

Audience Targeting & Personalization