Skip to content
Home Shipping Shipping & Returns

Lower Return Rates with a Data-Driven Approach

Audio - 13 Min. -

Retailers are constantly angling for new ways to reduce return rates. What if data held the answer? Listen as journalist Richard Paul and USPS' Jay Smith discuss how data can help refine your return process.

A professional microphone with the logo for "USPS Delivers Radio."

Tune in to learn the benefits of return-data collection and the importance of gathering customer and product-specific data. Then get a big-picture view of what it takes to create a data collection process for your company.

Exclusive Content

See the full piece by filling out the form. All fields marked * are requested for completion.

Business Contact Information

On average, how many packages or envelopes do you ship daily?

How much of your current shipping business are you doing with the USPS?

How often does your company send advertising mail?

How much do you spend annually on marketing/advertising?

Privacy Act Statement: Your information will be used to understand the needs of customers and improve USPS sales and marketing efforts. Collection is authorized by 39 U.S.C. 401, 403, and 404. Supplying your information is voluntary, but if not provided, we may not be able to fulfill your request. We do not disclose your information to third parties without your consent, except to act on your behalf or request, or as legally required. This includes the following limited circumstances: to a congressional office on your behalf; to agents or contractors when necessary to fulfill a business function; to a U.S. Postal Service auditor; for law enforcement purposes, to labor organizations as required by applicable law; incident to proceedings involving the Postal Service, to government agencies in connection with decisions as necessary, to agencies and entities for financial matters, and for customer services purposes. For more information regarding our privacy policies visit
  1. [1]"2015 Consumer Returns in the Retail Industry," National Retail Federation, 2015.
  2. [2]"Taming Big Data: How Actionable Repair Data Can Improve Quality, Customer Satisfaction and Profitability," Renova Technology, SlideShare, 2014.
  3. [3]Ibid.
  4. [4]Ibid.
  5. [5]Thomas C. Redman, "How to Repair Your Data," September 27, 2012.

Related Content