Euclidean Distance Feed — Identity Similarity Data

A unified dataset that deterministically links Mobile Ad IDs, Smart TV ACR exposures, and CPG purchase events into a single consumer graph. The Euclidean Feed makes true closed-loop attribution possible, connecting media exposure to real-world purchases across digital, TV, and in-store channels.

Product Answer Summary

  • Product category: Digital, Media & Behavioral Feeds
  • What it contains: MAID-to-CTV linkage, CTV-to-purchase linkage, Cross-channel exposure paths, Attribution event logs
  • Delivery formats: CSV, JSON, Parquet
  • Who uses it: enterprise data buyers evaluating activation, measurement, analytics, enrichment, risk, or research workflows.

Key Features

  • Deterministic identity linkage
  • Closed-loop measurement
  • Multi-touch attribution ready
  • Weekly refresh

Feed Specifications

  • Record scale: Pre-computed similarity vectors
  • Coverage: US
  • Refresh cadence: Weekly
  • Delivery formats: Parquet, S3

How the Euclidean Feed Links Signals

The Euclidean Feed is GSDSI's flagship cross-channel identity product, built by deterministically linking three core data assets: Mobile Advertising IDs (MAIDs) from our device panel, Automatic Content Recognition (ACR) viewership events from smart TVs, and transaction-level CPG purchase records. The linkage methodology uses shared household graphs. Devices and TVs that consistently co-locate at the same residential address are grouped into household units, and purchase data is associated through retailer loyalty program matching and probabilistic address linkage. The end result is a unified consumer graph where a single household's CTV ad exposure, mobile app activity, web browsing, and grocery purchases are all connected, making true multi-touch attribution possible across the full marketing funnel.

Common Applications for Unified Attribution

CPG brands use the Euclidean Feed to prove that CTV advertising drives incremental product purchases at specific retailers, closing the loop from impression to checkout in a way that was previously impossible without single-source panel data. Media agencies use the cross-channel linkage to build unified reach and frequency reports, deduplicating audiences across CTV, mobile, and web to eliminate overexposure and optimize media plans. Retail advertisers connect ad exposure to store visits by linking MAID-based campaign impressions to GPS-derived foot traffic events at their locations. Financial analysts use the Euclidean Feed's multi-signal consumer profiles to build stronger alternative data models that combine viewership, engagement, and purchase behavior into a single composite indicator per ticker.

How buyers diligence cross-channel attribution graphs

Euclidean buyers test whether exposure, mobility, and purchase signals join without double counting households or overstating deterministic identity.

Product-specific diligence checks

  • Confirm MAID, CTV, household, and CPG join logic.
  • Validate dedupe, attribution windows, and entity scope.
  • Run clean-room or matched-sample testing before campaign-lift use.
  • Document refresh cadence, join confidence, and permitted outputs.