3 blog posts tagged "Address Validation"

Lessons Learned from Validating Over 440 Billion Addresses in 2022Arrow Icon
By Andrew Townsend on February 1, 2023
On average, customers of Smarty process 2. 5 billion addresses collectively a day. If you were to count a single Cheeto for each address, that’s enough Cheetos to fill up 1,930 vans per day. If you were to start walking along the equator of the Earth and you took one step for each address, you’d make 38 trips around the planet. That’s a ton of address lookups. So with that much address data flying through our systems, we decided to host a webinar sharing some of the insights we’ve gained from the over 440 billion addresses that were validated in 2022.
Full Address Validation Leads to Better Business DataArrow Icon
By John Hickey on January 31, 2023
Certain surprises are fun. Finding out the person in front of you at Starbucks paid for your coffee? Java-tastic! Finding out you've been shipping products to addresses that don't exist? That's a postal catastrophe. Luckily, many shipping snafus can be prevented by using address validation software. Address validation (or verification) is the process of checking a mailing address against an authoritative address database. If the address matches an address in the known database, it is marked “valid”—meaning it's real.
Common Problems When Working with Address DataArrow Icon
By Andrew Townsend on November 29, 2022
There are many problems you may run into if you're working with address data. In our recent webinar, our own Adam Charlton went over some of the challenges he's encountered the most, and how to deal with them. Here’s some of what he talked about. You can view the full recording at the link below. Standardization Standardizing addresses helps solve many of the problems inherent with data blending (combining two or more address databases together). In order to properly blend different address databases together you need to either have an external ID correlate the two sources, or have identically formatted address fields.

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