Data Hygiene and Processing

Power Your Direct Marketing Efforts with Accurate, Precise Data

To maintain accurate records and optimize your customer data for direct marketing, routine data hygiene is a necessity. AccuData’s team is highly experienced in cleaning customer data and remains well-versed in data hygiene best practices. And we make the process simple, giving our clients the confidence to know that their customer data is as precise as possible.

CASS:
Standardize addresses in order to meet USPS® requirements while benefiting from the correction of zip codes and the addition of key address elements.

Do Not Call Suppression:
Identify the telephone numbers of consumers who have registered with the National Do Not Call list to prevent telephone-based solicitations.

DSF2:
Improve the deliverability of your mailings by validating individual delivery points, identifying business from residential addresses, and more.

Email Address Verification:
Increase the likelihood of inbox delivery, improve the accuracy of email metrics, and minimize bounce rates with secure and easy validation of your email records.

Bankruptcy Suppression:
Eliminate the names and contact information of consumers where a bankruptcy, judgment, or tax lien is present in the household.

LACS Link:
Identify addresses that have been converted by local authorities as well as those that have been renamed or renumbered.

Deceased Suppression:
Remove deceased individuals from your marketing efforts prior to a promotion to prevent unwanted mail from being delivered to the decedent’s family.

NCOALink®:
Ensure Move Update compliance when you receive new addresses for individuals, families, and businesses that have moved in the last 48 months.

Prison Suppression:
Remove addresses that are associated with federal prisons, state prisons, county correctional facilities, and city jails throughout the United States.

Do Not Mail Suppression:
Identify the names and addresses of consumers who have registered with the Direct Marketing Association to eliminate direct mail solicitations. This is a key component of data hygiene.

Underage Suppression:
Prevent the names and addresses of known minor children (under the age of 18) from being included in your direct mail file. Of data hygiene best practices, underage suppression is considered a key step.

 

What is CASS Certification?

Coding Accuracy Support System (CASS) is a certification system from the United States Postal Service (USPS) for address validation. A CASS-certified address validation service will standardize your mailing list, update outdated addresses, and verify that addresses are valid and complete.

 

What is NCOA?

National Change of Address (NCOALink®) is a secure dataset of approximately 160 million permanent change-of-address (COA) records consisting of the names and addresses of individuals, families, and businesses who have filed a change of address with the USPS.

Data Processing

When your campaign objectives require highly sophisticated targeting, allow our highly skilled team to employ data processing services to combine, manipulate, and transform data from disparate sources into the ideal marketing list. We offer the following data processing services:

A/B Splits:
Segment your data files to specific groups to explore versioning and optimization of your creative, copy, and offer.

Deduplication:
Remove name, address, telephone, and/or email records that appear in multiple occurrences within your input files.

File Conversion/Reformatting:
Convert data files into your desired format; apply of casing and name/address parsing to data columns as needed.

Geo-Coding:
Apply latitude and longitude coordinates to the addresses in your database and utilize that intelligence to create custom marketing footprints and multi-radius pulls.

Intersections:
Determine where common records exist between multiple input files and isolate those records into one unique file.

Key coding:
Apply a unique identifier to each record on your input file so that its origin/significance can be easily acknowledged.

Merge/Purge:
Identify and eliminate duplicate records that exist between multiple files; retain unique records based on your established priority.

Parsing:
Separate data elements like full names and addresses from one data column into multiple fields.

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