What does competitive benchmarking with GSDSI look like?

Share-of-visit by retailer or venue (foot traffic), share-of-spend by category (CPG and transaction signals), share-of-voice by ad creative (ACR), and share-of-intent by web behavior (clickstream). Daily-refreshed signals so trends are observable in near-real-time, not lagged by syndicated panels.

How is the data scoped, by region, category, or competitor set?

All three. Buyers define a competitor set (POI list, brand list, ticker list, or category code), a geographic boundary (national, state, DMA, county, ZIP, or polygon), and a time window. The benchmark output is a panel-rebased percentage view with confidence intervals.

Can this be tied to my own performance data?

Yes. A typical workflow joins GSDSI competitor benchmarks against the buyer's first-party sales or visit data, either inside the buyer's warehouse or in a clean room. The shared identity graph and POI inventory make the join explicit. Methodology documentation accompanies each delivery.

How current is the benchmark?

Daily-refreshed for the underlying signals; benchmark publication cadence is configurable per use case. Most buyers publish weekly or monthly summaries; daily reads are available for high-frequency monitoring (e.g., promotional-window response, new-store openings).

Is this an alternative to NielsenIQ or Circana?

Different category. NielsenIQ and Circana are syndicated research providers that deliver packaged share-of-market reports. GSDSI delivers raw daily signal so buyers can build their own benchmark methodology. Often used alongside syndicated providers as a higher-frequency, more configurable view.

Competitive Benchmarking Data (Foot Traffic)

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.) equips retailers, real-estate investors, and brand strategists with spatial intelligence for trade-area analysis, competitor visitation benchmarking, and market-opportunity identification. Built on 23M+ U.S. Points of Interest with precise polygon boundaries and device-level foot-traffic signals, the Competitive Benchmarking solution delivers store-level visit metrics, cross-visitation analysis, and hyperlocal market-share measurement that national syndicated reports cannot surface.

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.

Location intelligence 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

Use Cases

Trade area analysis & overlap
Competitor foot traffic benchmarking
Site selection & expansion planning
Market share estimation

Key Benefits

POI-level competitive metrics
Cross-visitation analysis
Custom trade area definition
Temporal trend comparisons

How Competitive Benchmarking Uses Location Intelligence

GSDSI's competitive benchmarking solution uses our repository of 23M+ U.S. Points of Interest with precise polygon boundaries, combined with device-level foot traffic data, to deliver granular visitation analytics at the individual store level. The system calculates normalized visit metrics (visits per square foot, average dwell time, repeat visitation rate, and visitor origin distribution) for your locations and every competitor within a defined trade area. Cross-visitation analysis reveals which competitors your customers also visit, quantifying competitive overlap and identifying share-of-visit trends over time. Custom trade area definitions use actual visitor origins rather than simplistic radius-based models, giving you a true picture of each location's drawing power.

Why Location-Based Benchmarking Beats Survey Data

Traditional competitive intelligence relies on consumer surveys, mystery shopping, and publicly reported sales figures, all of which are infrequent, expensive, and subject to self-reporting bias. GSDSI's location-based benchmarking provides continuous, observed data on actual consumer behavior. Retailers use it to compare store performance across their portfolio, identifying underperforming locations and diagnosing whether foot traffic declines stem from competitive encroachment, trade area shifts, or operational issues. Real estate investors evaluate potential acquisitions by benchmarking a property's tenant traffic against comparable assets in the market. Brand strategists quantify market share at the hyperlocal level, spotting competitive threats and whitespace opportunities that would be invisible in national-level syndicated reports.

Recommended Data Products

Clickstream & Web Intent Data

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

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 methodology Talk to solutions engineering

Competitive Benchmarking