Categories: HealthcareNews

Earnest Analytics launches in-store spending data by ZIP Code in its online platform, Dash

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NEW YORK, March 18, 2025 /PRNewswire/ — Earnest Analytics, the leading data analytics firm for investors, companies, and consulting firms, has launched new ZIP Code level spending powered by Vela transaction data.

Earnest Analytics has launched new ZIP Code level spending powered by Vela transaction data.

The new Earnest Analytics in-store spending by ZIP Code data helps users drill down into hyper-local markets. Clients will be able see the impact of store openings, assess consumer health, and benchmark store performance at the community level. Clients can use the Dash Trends tool to either assess single ZIP Code performance, or select groups of ZIP Codes to create custom trade areas.

“ZIP code-level granularity adds significant value to the Vela dataset,” said Nans Fichet, Data Scientist at Earnest Analytics. “It is an excellent proxy for store-level data, unlocking use cases such as tracking store openings or same-store sales analysis.”

In-store spending by ZIP Code is now available to Vela clients on Dash in the Trends tab. The data is also available in the merchant_location_zip table via BigQuery, Snowflake, and S3.

For more information on Earnest Analytics or to schedule a demo, visit:
https://www.earnestanalytics.com/schedule-a-demo-form/

About Earnest Analytics
Founded in 2012, Earnest Analytics measures the consumer and healthcare economies with real-time data, providing actionable insights for institutional investors, companies, consultants, and government agencies. Our structured datasets provide clear, correlated signals, with tools for deep fundamental analytics on Consumer Spend, Retail Pricing, CPG, and Healthcare Claims. Earnest Analytics enables companies to deeply understand consumer habits and national health trends. For more information visit www.earnestanalytics.com.

For Press Inquiries Please Contact
Deanna Kim, Senior Marketing & Media Relations Associate
dkim@earnestanalytics.com

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SOURCE Earnest Analytics

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