The most valuable insights come from combining multiple datasets together. Every e-commerce site collects the customer's zip code upon purchase. Blend your data with ours to better understand your customer base.
The file provides basic information like city, state, county and population counts, but also information around 40+ categories spanning health, social, demographic, economic and housing insights.
Contains data that spans across multiple data sources, whereas other databases only contain basic geographic information and only gender and age populations.
An email will be sent to you when file updates have been made - updates to current data sources or new data sources.
We can provide more for less simply because we have less overhead (ie: no sales team) and an automated data pipeline to reduce manual labor costs.
All data is gathered from trusted, top-level, public organizational domains.
Compatible fields to allow you to easily join/combine the file with popular analytics platforms like Google Analytics. No data engineer or cleansing required!
For data analysts, data scientists, media buyers and IT.
Enrich your company's internal data with the zip code to unlock new insights, like market-level sales penetration.
Conduct a market segmentation / clustering algorithm to pair together similar markets for holdout testing.
Identify markets that over-index on your target audience.
Use the database file as data validation to ensure your customer's and prospect's information is correct and valid.
"My team uses this file for many different applications. It literally has the same data points as the other zip code databases out there, but so much more. So much easier to use this file than set up API connections. Plus, it's already been cleaned up."
“I use this file every week when planning a local media buy for my clients to help identify where my target audience over-indexes."
"It's true what they say, much of a data scientist's job is cleaning the data. I didn't have to do that with this file."
“I use this file pretty frequently. It's a big part of our data warehouse. We combine this table with our sales data to measure sales penetration."