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Cross-Channel Measurement & Attribution

Link mobile, web, CTV, and in-store data for 360-degree customer journey visibility and ROI proof.

Since 2018

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Overview

GSDSI (Global Source Data Solutions Inc.) closes the loop between marketing investment and real-world outcomes. Our Cross-Channel Measurement & Attribution solution connects digital and offline campaign exposure across mobile, web, CTV, and in-store interactions to store visits, purchases, and conversions: giving advertisers true ROI measurement across every channel. Built on the Euclidean Feed (deterministic exposure-to-outcome linkage), ~13-14M monthly CTV IDs, and device-level mobility signals.

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.

CTV/ACR 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 sampleDeveloper hub

At a glance

What you get

  • Exposure → outcome joins across CTV, mobile, and physical visitation.
  • Match-rate clarity (by geography/cohort) before production.
  • A governance model for windowing, dedupe, and attribution.

How it’s sourced

  • Privacy-safe sourcing posture with documented exclusions.
  • Join keys that are compatible with clean-room constraints.
  • Audit-ready provenance pack for procurement.

How you buy it

  • Pilot with a matched sample to validate reach + yield.
  • Define measurement windows and success metrics up front.
  • Scale into production licensing after pilot acceptance.
Clean room measurementPilot processSourcing methodology

Use Cases

  • Foot traffic attribution for CTV & digital
  • Media mix modeling & optimization
  • Incrementality testing
  • Cross-screen reach & frequency analysis

Key Benefits

  • Closed-loop measurement
  • Cross-channel attribution
  • Incrementality quantification
  • Real-time campaign optimization

How Cross-Channel Attribution Works

GSDSI's attribution methodology uses the Euclidean Feed to deterministically link ad exposure events (CTV impressions, mobile display, web video, and out-of-home) to real-world outcomes such as store visits, dealership visits, and restaurant transactions. The system ingests timestamped exposure logs from media partners, matches them against our device-level panel, and applies configurable attribution windows (1-day, 7-day, 14-day, or custom) to measure incremental lift. Control-versus-exposed analysis isolates the true causal impact of each media channel, so you can reallocate budgets based on data rather than guesswork.

Why Closed-Loop Measurement Changes Everything

Most measurement solutions stop at digital conversions: clicks, form fills, and online purchases. But for industries like retail, QSR and automotive, the majority of revenue happens offline. GSDSI bridges this gap by connecting digital campaign exposure to physical-world actions through privacy-safe device-level location data. This closed-loop approach helps teams identify which channels, creatives, and dayparts drive outcomes, and it supports reallocation decisions based on incremental lift rather than last-click attribution.

Recommended Data Products

CTV / Smart TV (ACR) Feed

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

Euclidean Feed

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

Points of Interest (POI) & Geofencing

Global place intelligence with 23M+ U.S. POIs with coverage in 150+ countries: polygon boundaries, brand hierarchy, NAICS classification, and geofencing for foot traffic analytics and attribution.

Global Mobility/Location Data

Device-level GPS signals and aggregated mobility patterns, with a daily US and Canada feed plus country-specific coverage.

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 methodologyTalk to solutions engineering

Frequently asked questions about Cross-Channel Measurement & Attribution

What does cross-channel measurement mean in GSDSI's offering?

Tying together CTV, mobile, web, and offline exposure and outcomes against a shared identity graph, so a single household appears as one user across screens. Output is exposure-to-outcome attribution, incremental-reach analysis, and frequency-cap validation, without depending on Google or Meta walled gardens.

What signals power the measurement?

Daily ACR (CTV exposure), MAID-level location (offline visits), clickstream (web behavior), the identity graph (cross-screen linkage), and where applicable the CPG transaction feed (closed-loop sales). Mix and match signals depending on the campaign and the outcome metric you care about.

Does this require a clean room?

Not always. Many measurement workflows run as standard hashed-identifier joins; clean rooms (AWS, Snowflake, InfoSum) are used when neither party can share cleartext identifiers, when retailer-media partners require it, or when regulatory frameworks demand minimum-necessary data exposure.

How does this compare to iSpot or VideoAmp?

iSpot and VideoAmp are managed currencies. They deliver standardized metrics. GSDSI is a raw-data licensor whose data feeds typically sit upstream of currencies, or substitutes for them when an in-house team wants to control the methodology. Different categories, often complementary.

What's a typical first project?

An incrementality study against a defined campaign cohort: heavy- vs. light-exposed households, ghost-bid or PSA controls where supported, outcome metric of choice (visit, transaction, brand lift). Most engagements scope to a 4-6 week study window with raw signal delivery for in-house modeling.

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