Earnest Analytics Unveils Localized Spending Insights for Retail

Earnest Analytics Introduces In-Store Spending Insights

Earnest Analytics, a prominent data analytics firm, has rolled out a remarkable feature on its platform, Dash, allowing users to access detailed in-store spending data categorized by ZIP Code. This innovative addition empowers businesses, investors, and consulting firms to make informed decisions based on hyper-local market data.

Unlocking Data Through Vela Transaction Insights

The new feature is powered by Vela transaction data, which significantly enhances users' ability to glean insights about consumer behaviors within specific communities. With this ZIP Code level insight, clients can better understand the nuances of their market, allowing for tailored strategies to improve retail performance.

Benchmarking and Performance Analysis

With the in-store spending data by ZIP Code now at their fingertips, clients can assess the impact of store openings, track overall consumer health, and benchmark performance at a community level. This functionality emphasizes the importance of localized data in driving business strategies.

Enhanced Tools for Tailored Retail Strategies

Clients have access to the Dash Trends tool that allows them to dive deep into the performance of individual ZIP Codes or select groups for comprehensive analysis. This flexibility is key for businesses aiming to create custom trade areas and perform targeted assessments.

Value of Granularity in Retail Analysis

Nans Fichet, a Data Scientist at Earnest Analytics, stated, "ZIP code-level granularity adds significant value to the Vela dataset, functioning as an excellent proxy for store-level data. This feature is pivotal in tracking store openings and analyzing same-store sales effectively.”

Accessing the New Data Features

Users can now explore in-store spending by ZIP Code through the Trends tab on the Dash platform. Moreover, this data can be retrieved from the merchant_location_zip table via various data platforms, including BigQuery, Snowflake, and S3, ensuring seamless integration into existing data workflows.

Connecting with Earnest Analytics

For further insights into the offerings of Earnest Analytics or to schedule a demonstration, interested parties can reach out directly through their website. This approach ensures that potential clients can learn about how these new capabilities can directly benefit their retail strategies.

About Earnest Analytics

Since its founding in 2012, Earnest Analytics has been committed to measuring consumer behavior and healthcare market trends with real-time data. Their actionable insights cater to institutional investors, businesses, consultants, and governmental bodies. The structured datasets they provide yield valuable signals, aiding in deep analytical approaches across sectors including Consumer Spend, Retail Pricing, CPG, and Healthcare Claims.

By understanding consumer habits and national health trends, Earnest Analytics equips companies with the necessary tools to navigate the complexities of modern economies. To explore more about their offerings, businesses can visit their official website.

Frequently Asked Questions

What new feature did Earnest Analytics launch?

Earnest Analytics launched new in-store spending data categorized by ZIP Code in their Dash platform.

How does the ZIP Code level data benefit clients?

This data helps clients understand local market trends, assess consumer health, and benchmark store performance effectively.

What is the source of the data used in this new feature?

The insights are powered by Vela transaction data, which provides a granular view of spending at the ZIP code level.

Can clients access this data through various platforms?

Yes, the data is available through the Dash platform, as well as BigQuery, Snowflake, and S3.

How long has Earnest Analytics been operating?

Earnest Analytics was founded in 2012 and has been offering actionable insights ever since.

About The Author

Hi there I'm 38-year-old author and financial consultant Owen Jenkins. Having worked in the financial sector for more than ten years, I am well-versed in the subtleties and complexity that mold our financial environment. Following a degree in finance, I worked in a number of financial institutions honing my abilities in market analysis, financial planning, and investment strategies.

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