Breaking USPS DPV Software - Tie Breaking

Delivery Point Validation Processing

DPV® Delivery Point Validation Processing validates address information at the physical delivery point level, so you can identify undeliverable mail prior to mailing. Correcting potential addressing issues can reduce the return mail, which in turn will result in more efficient mail processing and delivery. DPV identifies whether a ZIP + 4® coded address is currently represented in the USPS® delivery file as a known address record and identify potential addressing issues that may hinder delivery.

DPV® Delivery Point Validation Processing includes LACSLink® and SuiteLink® ensuring your mailing lists are complete, correct and current. SuiteLink  matches your provided business name and ZIP + 4 to known USPS data, and appends  suite (secondary) numbers to business addresses where available and LACSLink converts addresses that are changed by local governments for example:

    • Street name changes
    • Renumbering changes or
    • Rural route to street style conversion

Mail*DPV® confirms that:

    • The known address has verifiable primary and secondary data.
    • The known address has verifiable primary but not secondary data.
    • The address cannot be verified as a known address.

* The DPV® Product does not append any missing data or correct any address elements.

Why DPV is important?

Because gives you the benefit of:

      1. Save money by not mailing to undeliverable locations
      2. Provides critical information that confirms a valid address, or gives you insight on how to correct it
      3. Provides the ability to convert old addresses to ones changed by local governments
      4. Identify undeliverable mail prior to processing and sending out a mailing

and avoid:

      1. Waste, manpower and processing time associated with returned mail and packages
      2. Dissatisfied customers that had to wait too long for their anticipated delivery
      3. Manual address correction by contacting customers personally
      4. Analytics and business decisions based on inaccurate data

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