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Industry Solutions

Financial Services

Alternative data signals for alpha generation

~390M
Daily CPG Purchase Signals
Daily
Signal Updates
155M+
US Property Records
Multi-Signal
Fusion Ready

Overview

Gain an information edge with alternative data that traditional analysis misses. GSDSI's tickerized data, foot traffic signals, and consumer behavior feeds give hedge funds, asset managers, and institutional investors non-consensus insights for revenue estimation, brand momentum tracking, and pre-earnings analysis.

GSDSI (Global Source Data Solutions Inc.) supplies hedge funds, asset managers, and institutional investors with a tickerized alternative-data suite mapped to public company tickers: spanning web engagement, CTV exposure from ~13-14M monthly CTV IDs, ~390M daily CPG purchase signals, device-level foot traffic, and 155M U.S. property records, with historical data for backtesting. The alternative data landscape for financial services has matured rapidly, with institutional investors increasingly relying on non-traditional signals to generate alpha and manage risk. GSDSI serves this market with a full suite of consumer and location intelligence products specifically structured for quantitative and fundamental investment analysis. Our tickerized data maps web engagement, CTV ad exposure, foot traffic, and CPG purchase behavior to public company tickers through proprietary brand-to-parent hierarchies, delivering daily-updated signals with five or more years of history for backtesting. Hedge funds use foot traffic data as a real-time revenue proxy, detecting same-store sales acceleration or deceleration at retailers and restaurants weeks before official earnings releases. Asset managers monitor brand momentum through clickstream-derived digital share-of-voice metrics, identifying companies gaining or losing consumer mindshare. Risk teams use CPG transaction signals, CTV ad-exposure patterns, and 155 million real estate property records to monitor consumer financial health and collateral value across lending portfolios, catching deterioration in borrower quality or property valuations before it shows up in delinquency and default statistics.

Fast path (pilot)

If you’re evaluating this vertical, start with a matched sample and a success threshold that’s specific to your cohort and geography.

What to request

  • Schema + join keys (what you can actually connect to).
  • Refresh cadence + change control expectations.
  • Governance: exclusions, retention, deletion SLAs.

Provenance & compliance

If this use case touches sensitive categories or regulated outcomes, align on permitted uses and enforced exclusions before scaling volume.

Challenges We Solve

Finding differentiated, non-consensus data signals in an increasingly efficient market
Mapping consumer behavior and foot traffic to public company performance
Building reliable alternative data models with sufficient historical depth for backtesting
Keeping data quality and consistency across diverse signal types

How GSDSI Helps

Tickerized Intelligence

Access web engagement, CTV exposure, and foot traffic data pre-mapped to public company tickers.

Revenue Proxy Modeling

Build revenue estimation models using transaction signals, store visits, and digital engagement metrics.

Brand Momentum Tracking

Monitor brand health through consumer engagement trends, visit patterns, and digital share-of-voice.

Risk Signal Detection

Identify anomalies in location patterns, financial behavior, and consumer engagement that may indicate emerging risks.

Ready to get started?

Request a custom quote tailored to your financial services data needs.

Frequently asked questions about Financial Services

Can GSDSI data be used for FCRA-regulated decisions?

No. GSDSI is not an FCRA consumer reporting agency, and GSDSI data may not be used for any FCRA-permissible purpose (credit, employment, insurance-risk, tenancy). For those use cases, contract with an FCRA-compliant CRA. Marketing and analytics use cases are permitted.

What financial-services use cases are permitted?

Marketing and audience targeting, prospect-list building, customer enrichment, fraud-signal augmentation (where not used for adverse action), alternative-data research for equity teams, and competitive benchmarking. Permitted-use validation is part of standard onboarding.

What insurance-relevant attributes are available?

Auto-vehicle attributes (201M records), home-ownership and household composition, lifestyle propensity, and modeled risk-adjacent scores where source-permitted. Attribute lists are scoped per use case and per state where applicable. DPPA-permitted use validation applies for auto data.

How does GSDSI handle GLBA-relevant data?

GLBA-covered nonpublic personal information is not part of GSDSI's standard data products. Where adjacent data is sourced from GLBA-covered partners, GSDSI applies the partner's GLBA-aligned contractual restrictions. Documentation is provided per delivery.

Are clean-room workflows supported for financial-services clients?

Yes, and commonly used for measurement and audience-overlap engagements where neither party can share cleartext PII. AWS Clean Rooms, Snowflake Data Clean Rooms, and InfoSum are supported. Useful for closed-loop measurement and partner co-marketing.

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