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EXETERRETAILDATAHUB.COMManage supplier listing
EXETER Retail DataHub (a service of DataPoint International, LLC) — Store-level tenant gross sales reported monthly by retailers to every landlord they report to — gross sales with automatic deductions/exclusions adjustments — plus non-sales space inventory and vacancy records for the reporting retail centers, and the derived per-center/per-category sales productivity benchmarks.. Narrow but deep: a small vendor operating a single-niche reporting network whose asset is a longitudinal store-month gross-sales panel across retail centers, with per-landlord and per-retailer views of the same stor…
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Store-level tenant gross sales reported monthly by retailers to every landlord they report to — gross sales with automatic deductions/exclusions adjustments — plus non-sales space inventory and vacancy records for the reporting retail centers, and the derived per-center/per-category sales productivity benchmarks.
From 8 yearsCoverage Real EstateAsset class Equities · Fixed income
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EXETER Retail DataHub (a service of DataPoint International, LLC) — Store-level tenant gross sales reported monthly by retailers to every landlord they report to — gross sales with automatic deductions/exclusions adjustments — plus non-sales space inventory and vacancy records for the reporting retail centers, and the derived per-center/per-category sales productivity benchmarks.. Narrow but deep: a small vendor operating a single-niche reporting network whose asset is a longitudinal store-month gross-sales panel across retail centers, with per-landlord and per-retailer views of the same stor…
Exeterretaildatahub offers (Alternative, Fundamental, Reference) — ~1-10M store-month sales records (est.: a few thousand reporting stores x 12 months x several years of archive; each store-month row carries gross sales plus deduction/exclusion detail). Space inventory adds one vacancy/status row per leasable unit per reporting period..
Alternative revenue signal for public retail tenants and shopping-center REITs; retail demand and same-store-sales forecasting ahead of earnings; leasing and acquisition underwriting (site-level revenue per square foot); store closure / vacancy nowcasting; retail category rotation models; training tabular forecasting and anomaly-detection models on long store-month panels.
The data is with 8 years of history.
Coverage spans US; Real Estate Management & Development; alternative, fundamental, reference; equities, fixed_income.
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