When marketers think about improving campaign performance, they often focus on creative, channels, or targeting. But none of those matter if the data behind them isn’t accurate.

At Cross Country Computer (CCC), we’ve spent decades helping organizations build and maintain marketing databases that support better reporting, stronger customer insights, and more effective marketing. As a company that also prepares millions of records for printer-ready mail production, we’ve seen firsthand how data quality impacts everything from postal discounts and deliverability to campaign performance and customer experience.

We sat down with Nick Mattina, VP of Data Services, to discuss why data hygiene is much more than just cleaning up a database – and why it can directly impact marketing performance, operational efficiency, and profitability.

Why is data quality so important?

NM: Everything starts with the data. Customer segmentation, campaign reporting, attribution, analytics – even whether a customer receives your marketing – depends on having complete and standardized information.

If an address is missing important elements like a ZIP Code, apartment number, or city, postal software may not be able to validate it correctly. That customer may never receive the mailing, may not be identified as having moved, or could even be dropped from the campaign altogether. That’s not just a data issue – it’s a missed opportunity to connect with a customer and generate revenue.

Properly standardized data also has a direct financial benefit. Once addresses are standardized and validated according to USPS® requirements, they qualify for postal presort processing. By preparing printer-ready mail files that are optimized for carrier routes and postal automation, organizations can qualify for deeper postal discounts while helping ensure mail is delivered as efficiently as possible.

What’s the biggest misconception companies have about their data?

NM: Most organizations believe their data is cleaner than it really is.

They trust the systems collecting it, or they assume that because the information looks complete, it’s ready to use. Unfortunately, that’s rarely the case.

One issue we encounter surprisingly often is receiving an entire address stored in a single field instead of separate Address, City, State, and ZIP fields. To the client, all the information is there. To processing software, it can be much more difficult to determine where one element ends and another begins. Something as simple as “New York” can be interpreted incorrectly when the data isn’t consistently structured. What appears to be a complete address can quickly become a record that requires manual intervention – or worse, one that can’t be processed at all.

What happens behind the scenes when data isn’t standardized?

NM: Before any campaign goes out, we standardize data so it can be validated, matched, and processed correctly. The more consistent the incoming data, the more we can automate.

When every file arrives in a different format, we have to spend time identifying new issues before we can even begin processing. That’s why consistency matters just as much as accuracy.

Small inconsistencies can also create duplicate records. We’ve seen situations where Apartment 4I and Apartment 41 likely represent the same customer but appear as two separate households. We’ve also encountered duplicate apartment numbers, delivery instructions mixed into address fields, and inconsistent abbreviations that prevent duplicate elimination from working properly.

These may sound like small issues, but they can result in duplicate mailings, inaccurate reporting, unnecessary marketing expense, and a frustrating customer experience.

“Using bad data is like building on a cracked foundation. Everything on top of it is less reliable.”

Nick Mattina, VP of Data Services

Can a small data issue really create a big problem?

NM: Absolutely.

One example we’ve seen is when house numbers become truncated during processing. A record for 130 First Street suddenly becomes 13 First Street or 30 First Street.

The file can continue through several processing steps before anyone notices something is wrong, often because postal validation rates suddenly drop. By then, valuable production time has already been lost, and teams may be working against tight print and mail deadlines to correct the issue.

Three Marketing Data Hygiene Practices Every Company Should Follow

Whether you’re mailing catalogs, fundraising appeals, or direct mail campaigns, these three practices can improve deliverability, reporting accuracy, customer experience – and even reduce postage costs.

1. Standardize your data before you use it.

Consistent formatting improves duplicate matching, postal validation, reporting accuracy, and overall processing efficiency. Standardization creates the foundation for every successful marketing program.

2. Treat data hygiene as an ongoing process, not a one-time project.

Every database changes over time. New addresses, new abbreviations, new suppression rules, and new quality issues emerge constantly. Ingest data hygiene changes (NCOA, address standardization, household linkage) into your regular database updates to prevent the same problems from resurfacing campaign after campaign.

3. Combine automation with experienced human review.

Automation makes processing faster and more efficient, but expertise is what ensures the results are accurate. The strongest data operations combine technology with professionals who know what to look for when something doesn’t seem right.

Great marketing begins with trustworthy data. Organizations invest heavily in acquiring customers, building marketing strategies, producing direct mail, and measuring results. Protecting that investment means ensuring the underlying data is accurate, standardized, and maintained over time.

Nick’s advice is straightforward: don’t assume your data is as clean as you think it is. Review it regularly, standardize it consistently, and don’t rely solely on automation. The companies that treat data quality as an ongoing discipline – not a one-time cleanup – are the ones that make better marketing decisions, create better customer experiences, maximize postal savings, and get more value from every campaign.

As Nick puts it:

“Using bad data is like building on a cracked foundation. Everything on top of it is less reliable.”

For more than 50 years, CCC has helped organizations build cleaner, smarter marketing databases while producing printer-ready mail files that maximize deliverability and postal savings. Our team combines industry-leading software, USPS-certified processing tools, and decades of hands-on expertise to standardize, validate, deduplicate, and optimize customer data before it reaches the printer. The result is more than a cleaner database – it’s improved reporting, more accurate analytics, fewer duplicate mailings, lower postage costs, and greater confidence that every campaign starts with the highest-quality data possible.

That’s why so many organizations trust CCC to prepare their marketing databases and printer-ready mail files – allowing their teams to focus on strategy while knowing their data is accurate, their mail is optimized for maximum postal savings, and every campaign is built on a solid foundation.