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Data References

Rigorous data. Transparent methodology.

Every GF Score is built on verified, multi-source location intelligence — not gut instinct. We publish our methodology because we believe rigor earns trust.

REF-SAMPLE-01

GrowthFactor Score

Overall Score

78.3Great

Foot Traffic

Great
Score:82.0

Demographics

Good
Score:76.0

Traffic VPD

Good
Score:71.0

Competition

Great
Score:84.0

Real Estate

Good
Score:79.0

Data Pipeline

From raw data to scored locations

Four stages transform millions of daily records into actionable location intelligence — with full traceability at every step.

4
Data sources
2.1M+
Records / day
14M+
Locations covered
Daily
Refresh cadence
1

Ingest

Raw feeds from four proprietary data sources are ingested daily via secure API pipelines and file transfers.

Daily
2

Normalize

Geospatial records are standardized to H3 hexagonal grids, deduplicated, and validated against census boundaries.

< 4 hrs
3

Score

The five-lens scoring model weights each dimension and produces a composite GF Score with confidence intervals.

Real-time
4

Deliver

Scored locations surface in the platform dashboard, shareable maps, and analyst reports within hours of ingestion.

< 1 hr

Data Sources

Four pillars of location intelligence

Each data source is independently validated, continuously refreshed, and calibrated against ground-truth observations.

Foot Traffic

Placer.ai + proprietary sensorsDaily

Device-level visit data aggregated to trade areas. Captures visit frequency, dwell time, and cross-shopping patterns across 14M+ commercial locations.

Fig. 01 — Foot Traffic

Monthly visit volume by trade area tier

Avg. visits per location, trailing 12 months

Current period
Prior year
Tier 1
Tier 2
Tier 3
Tier 4

GrowthFactor internal data, Jan 2026

Fig. 02 — Demographics

Median household income distribution

By trade area classification

< $40K
$40–65K
$65–100K
$100–150K
$150K+

U.S. Census ACS 2024 5-year estimates

Demographics

U.S. Census + Esri enrichmentQuarterly

Population density, household income, age distribution, and education levels at the block-group level. Updated quarterly with ACS estimates between decennial releases.

Traffic VPD

StreetLight Data + DOT countsMonthly

Vehicles per day measured at the road-segment level. Combined satellite and sensor data calibrated against state DOT permanent count stations for accuracy.

Fig. 03 — Traffic VPD

Average daily traffic by road class

Vehicles per day (thousands)

Current avg.
12-mo prior
Interstate
US Highway
State Rte
Local

StreetLight Data + state DOT, Q4 2025

Fig. 04 — Competition & POI

Competitor density by trade area

Avg. competing locations within 3-mile radius

QSR
Casual
Retail
Services

SafeGraph + GrowthFactor, Feb 2026

Competition & POI

SafeGraph + GrowthFactor proprietaryWeekly

Points of interest, competitor locations, brand affinity clusters, and co-tenancy patterns. Our proprietary layer adds closure signals and lease-up tracking.

Methodology

Five-Lens Scoring Model

Every location receives a composite GF Score from 0 to 100, computed as a weighted average of five independent lenses. Each lens produces a sub-score with a confidence interval reflecting data density and recency.

Foot Traffic

Weight: 25%

Visit volume, frequency, and dwell time relative to trade area peers.

Low68
Mid78
High88

Demographics

Weight: 20%

Population density, income, age mix, and education alignment with target customer profile.

Low62
Mid72
High82

Traffic VPD

Weight: 15%

Daily vehicle traffic on adjacent road segments, weighted by ingress/egress accessibility.

Low55
Mid66
High78

Competition

Weight: 25%

Competitor saturation, co-tenancy synergies, and brand affinity patterns.

Low70
Mid80
High90

Real Estate

Weight: 15%

Lease economics, building condition, signage visibility, and parcel geometry.

Low58
Mid69
High80

REF-MODEL-01

Fig. 06 — Sample Output

GrowthFactor Score

Overall Score

78.3Great

Foot Traffic

Great
Score:82.0

Demographics

Good
Score:76.0

Traffic VPD

Good
Score:71.0

Competition

Great
Score:84.0

Real Estate

Good
Score:79.0

Analyst Team

Dedicated Analyst Team

Every GF Score is reviewed by a human analyst before delivery. Our team combines geospatial expertise with retail real estate experience to catch what algorithms miss.

Fig. 05

Team Metrics

8.4 yrs

Avg. experience

12,400+

Reports delivered

94.7%

Accuracy rate

< 48 hrs

Avg. turnaround

Source: GrowthFactor internal metrics, trailing 12 months

GIS-certified analysts
Retail real estate experience required
Peer-reviewed scoring methodology
SOC 2 Type II compliant processes
Client-calibrated models

Built on institutional-grade data infrastructure

MIT Delta V 2021 · NVIDIA Inception · SOC 2 Type II · AWS Advanced Partner

See the data in action

Request a sample GF Score report

Get a complimentary location analysis for one of your target sites. See exactly how our five-lens model evaluates a real trade area.