Postal Rate Increase: The Role of Data Analytics in Optimizing Direct Mail Campaigns

Posted on by Bryan.Formhals

 

USPS postal rates are continuing to climb, with the latest increase set to take effect on July 9th, 2023. As a result, direct mail marketers are becoming progressively concerned with the rising costs of campaigns. However, increased postal costs do not mean that your direct marketing budget needs to go out the window.  

The Current State of Postal Rates 

The proposed postal rates were approved by the Postal Regulatory Commission on May 31st, 2023. This rate increase is the fourth of its kind since the post office moved to the twice per year cadence, and the Postmaster General has been clear that increases will continue to occur twice per year at least through 2025. 

As a company deeply invested in postal ongoings, two of our very own, Brandon Jacklin, Postal and Logistics Manager, and Kelly Marthaler, Sales Representative, went to Washington D.C. to collaborate with the ACMA (American Catalog Mailers Association) and Vogel Group to bring awareness around the impact of rising postal costs and tax laws to the Postmaster General Louis DeJoy. 

Direct Mail Optimization Amidst Postal Increases 

What can you do about rising postal rates? Optimize, optimize, optimize! By being wise about your data, you can be strategic in mailing less, but to highly responsive consumers, lowering your postage costs.  

Audience Segmentation 

The more people you mail to, the more postage you must spend, plain and simple. To save on postage, marketers should perform an audience audit. Who is your responsive audience? What is your key demographic and what is their past behavior?  Understanding better who your audience is will help you narrow the net you mail to. Less mail to a more responsive audience equals a higher ROI. 

Predictive Modeling

Data analytics allows marketers to leverage predictive modeling techniques to identify those most likely to respond. By analyzing historical promotional data and customer files, companies can build models that predict customer behavior, response rates and conversion rates. Predictive models optimize various aspects of direct mail campaigns, such as selecting the most responsive target audience, and determining the optimal timing for mailings.  By using data-driven insights, marketers can make informed decisions that maximize the impact of their direct mail campaigns and minimize the costs associated with postage. 

Testing

Data analytics enables marketing to conduct testing and optimization of their direct mail campaigns. By testing different variables such as messaging, design, offers, and call-to-action, companies can measure the effectiveness of each element and make data-driven decisions to improve their campaigns. Through continuous testing and optimization, businesses can identify the most impactful strategies, refine their mailings, and achieve better results while mitigating the impact of rising postal rates. 

Integration with Digital Marketing

Data analytics also plays a crucial role in integrating direct mail campaigns with digital marketing efforts. By leveraging customer data from various sources, such as online interactions, social media, and previous email campaigns, businesses can create a comprehensive view of their customers’ preferences and behaviors. This integrated approach allows for a cohesive and consistent customer experience across different marketing channels. Data analytics helps in identifying the most effective touchpoints, enabling businesses to create a seamless and personalized omnichannel experience that maximizes engagement and conversion rates. 

Don’t let rising postal rates get you down. Instead, focus on ways to optimize your direct mail campaigns to ensure a high ROI. Being smart about your data is one of the necessary tools marketers can use to achieve this optimization.  

If you’re ready to test smarter and drive ROI for your program, fill out the form below for the full guide to direct mail testing today! 

 

Fortifying Customer Privacy: Data Security Best Practices for Direct Mail

Posted on by Bryan.Formhals

Data privacy is a looming concern for consumers and thus securing sensitive data should be paramount for direct mail marketers. Data breaches can have severe repercussions, such as financial loss, identity theft, reputational damage, and legal consequences. All of which can be prevented by implementing strict security measures. 

As a leader in direct mail marketing, we adhere to industry best practices and prioritize robust data security measures that enable us to offer personalized direct mail campaigns while respecting privacy and maintaining trust. Nahan maintains compliance certifications like PCI DSS Level 2, AICPA SSAE18 SOC2 Type 2 + HITRUST CSF, HIPAA, and GDPR compliance. We also engage third-party auditors to conduct security audits, penetration tests, and risk assessments, validating our security measures and identifying areas for improvement. 

It’s important that marketers understand the risks, impacts, and regulatory requirements associated with direct mail campaigns, and how Nahan employs key security measures in response. Let’s dive in! 

Importance of Protecting Sensitive Customer Data in Direct Mail Campaigns 

In today’s digital age, where data breaches and privacy concerns are prevalent, protecting sensitive customer data is of utmost importance in direct mail campaigns.  Direct mail involves the collection, storage, and processing of customer information, such as names, addresses, credit card details, purchase history, and other financial information. Safeguarding this sensitive customer data should be a top priority for businesses engaging in direct mail marketing. It is essential that direct mail providers implement robust security measures to ensure the confidentiality, integrity, and availability of this data. 

“We live in a world where consumers want both personalization and data security. In response, direct mail marketers must work with a trusted partner who has industry knowledge, integrity, and rock-solid security measures. At Nahan, I’m proud to say we have all three.”
-Elizabeth Evans, Security Administrator

Common Security Threats and Solutions 

When it comes to direct mail campaigns, several common threats pose risks to the security of sensitive customer data. Understanding these threats is essential for implementing effective security measures.  

Threat: Data Interception and Breaches 

During the transmission of customer data, interception by malicious actors can occur, compromising the confidentiality of the information. Intercepted data can be exploited for identity theft, fraud, or other malicious activities. 

Nahan’s Response: Data Encryption and Protection 

Data encryption transforms sensitive information into unreadable code, securing it against unauthorized access. It applies to data transmission, data storage, and physical documents, with key practices including using strong encryption algorithms, secure key management, end-to-end encryption, regular updates of encryption protocols, and regular security audits and training. 

Nahan’s robust information security program adheres to international standards, ensuring comprehensive data governance and privacy protection. We continually monitor our systems and data to detect suspicious activities or potential security breaches. In the event of any security incidents, our incident response team follows a predefined process that includes containment, investigation, mitigation, and recovery. 

Nahan emphasizes continuous improvement and ongoing training. Regular security training sessions raise employee awareness about data protection best practices and emerging threats. We also conduct regular risk assessments and vulnerability scanning to identify and address any security weaknesses promptly. By analyzing and learning from security incidents, we continually enhance our data protection measures and mitigate future risks. 

Threat: Unauthorized Access

Unauthorized individuals gaining access to customer data can lead to misuse or theft of sensitive information. This can occur through physical breaches, such as theft of mail or documents, or through cyberattacks targeting digital systems and databases.

Nahan’s Response: Access Control and Authentication   

Access control limits unauthorized access to sensitive data, with strong passwords, role-based access controls, and regularly updated user access privileges. Multi-factor authentication adds an extra layer of security, requiring multiple factors of authentication. We also promote a security-conscious workforce through regular employee training. 

Nahan implements physical security measures, including access control systems, video surveillance, and equipment protection measures like fire suppression systems and uninterruptible power supply (UPS), to protect premises and sensitive equipment. 

Threat: Disaster 

There is always the risk of the unthinkable happening, such as cyber-attacks, natural disasters, power outages, and equipment failure, among other disasters. Organizations of all sizes generate a large amount of data, with much of it extremely important to daily operations.  

Nahan’s Response: Disaster Recovery and Business Continuity Planning 

We have established a comprehensive Disaster Recovery Plan outlining procedures and protocols for responding to disruptions. Regular testing and refinement ensure its effectiveness, preparing Nahan to handle any unforeseen disruptions effectively. 

Work With a Prepared Partner  

What we’ve learned through seeing various organizations fail in the areas described above is that it is crucial to work with a partner you can trust. Your direct mail partner should be able to answer all of your security questions and have stringent measures to protect your customer data.  

By prioritizing data governance, ongoing monitoring, incident response, continuous improvement, and employee training, Nahan ensures the highest level of protection for sensitive customer data in direct mail campaigns. Our commitment to data security enables our clients to have confidence in the integrity and confidentiality of their information throughout the direct mail process. 

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What Is Zero-Party Data?

Posted on by Bryan.Formhals

 

Author: Camille Rosa, Senior Marketing Specialist

All marketers know….data is king. And lately there’s been a new type of data sitting on the throne, known as zero-party data. If you don’t closely follow the data landscape, this is likely a new term you’ve heard floating around, unsure of its meaning for marketers. With the state of the market today, zero-party data is a crucial tool that all marketers should become familiar with. 

Changing Consumer Behavior  

It’s no surprise that consumers are becoming more concerned about their data and how it’s being used. With fears of data breaches or invasive data tracking, consumers are more wary than ever of how their data is collected.  

At the same time, consumers want a personalized shopping experience – one that makes product recommendations based on their interests and doesn’t just blindly advertise to them. Can consumers have the best of both worlds – data privacy and a personalized advertising experience?  

This is where zero-party data enters the chat.  

What Is Zero-Party Data? 

Zero-Party data is relatively new to the data scene. Forrester Research coined the term in 2018, defining it as “data that a customer intentionally and proactively shares with a business.” It can include preference center data, purchase intentions, personal contexts, and data on how an individual wants to be recognized by the brand.” 

Instead of relying on tracking consumers, zero-party data allows consumers to voluntarily offer personal data to a brand. In exchange, consumers are expecting their freely given information to improve their shopping experience.  

Let’s go over some examples of questions brands might ask to gather zero-party data: 

  • “Tell us about your most recent shopping experience with us.” 
  • “How much does sustainability impact your purchasing decisions?” 
  • “What problem does this product/service help you solve?” 
  • “What are some of your hobbies?” 
  • “Do you prefer one email per week or one every two weeks?” 

How do brands capture the answers to these questions? 

  • Pop-up windows  
  • Opt-in forms 
  • Social media prompt questions 
  • User profiles 
  • Polls, quizzes, and surveys 

 

How Does Zero-Party Data Fit into the Data Landscape? 

Zero-Party Data – This type of data is voluntarily given by the consumer and thus requires no inference or analysis to determine its meaning.  

First-Party Data – This type of data comes from consumer information such as tracked website activity, purchase history, or contact information to make educated assumptions about the consumer’s interests. First-party data is a highly accurate source, but still requires analysis, unlike zero-party data. 

Second-Party Data – This type of data is another company’s first-party data that is received via some type of partnership. The same type of information as first-party data is collected, but it’s not directly from the first source. 

Third-Party Data – This type of data is bought from an outside source that is not the original collector. 

 

Zero-party data

 

Death of Third-Party Cookies 

As consumer data tracking has become more regulated and privacy concerns have grown, third-party cookies have become phased out by several companies, including Firefox and Safari. Google is set to have them fully phased out by 2024. 

What does this mean for marketers? Privacy will remain a concern for consumers. Now is the time to begin collecting data in other consent-based methods, such as zero-party data. 

Using Zero-Party Data in Your Marketing  

One sure-fire way to grow revenue is to show consumers products and services that are tailored to their interests. It’s a no brainer, right? Brands have been doing it for years.  

Not only is zero-party data the way of the future, but it is also more accurate as it comes explicitly from the consumer. When used in combination with first-party data, marketers can gain extremely valuable insights into the desires of consumers, ultimately offering them a better brand experience with less controversial data methods.  

Now is the time to do an audit of how you are collecting your data and how you’re making the data work for you.  

Learn more about our data services and how we provide prospect leads by utilizing multiple data sources and generating predictive models here. 

 

Direct Mail Testing is Like the Stock Market: Here’s Your Investors Guide

Posted on by Bryan.Formhals

When we talk direct marketing to marketers, the subject of direct mail testing inevitably comes up. For some, it’s all about creative testing, where testing might be tweaking existing creative once a year. For others, it’s a regular creative testing program, with new creative being tested with every campaign. For still others, testing may include offer, copy, contact cadence, list, and predictive model testing as part of the necessary mix. But why this range of approaches and is there a right way?

We find that the frequency and scope of testing depends on budget, your product or service, one’s risk tolerance, and prior experience with testing. This last item is a big one – many people are simply unfamiliar with what a regular testing program looks like and its value.

I like to think of testing as similar to long-term investing in the stock market. With all of the recent attention paid to artificial intelligence, I decided to informally check my theory by asking AI provider ChatGPT about the value of long-term investing. Here are the key value points to long-term investing that came back, with my comments:

  • The Earning of Compound Interest – With enough time, the compounding of interest leads to major growth. When we test, we accumulate a long-term knowledge base of what works and what doesn’t.
  • Reduced risk – Given time, short-term risk fluctuations are reduced. Same thing in direct mail testing. Each time we test, we learn a little (or a lot) more, which reduces risk.
  • Potential for Higher Returns – Long-term investing is associated with higher returns. Same as with testing. When we are in testing for the long-term with a regular, consistent program, we are “in it to win it.”
  • Diversification – When we diversify our investments, we reduce our risk. So when we test a variety of items we learn more, which leads to less risk and greater performance in the long-term
  • Ability to Meet Long–Term Goals – Long-term investing can help us reach long-term financial goals, like education funding and retirement. Testing enables us to reach our long-term marketing performance goals.
  • Peace of Mind – Long-term investment can lead to greater piece of mind. When we run a comprehensive testing program, we have the peace of mind that we’ve left nothing to chance.

The challenge for many marketers is that they are unfamiliar with how to structure a best practice testing program.

That’s why we created Nahan’s Guide to Direct Mail Testing!

In this white paper, we provide an insiders guide to effective direct mail testing for programs of all sizes and across industries. It doesn’t matter if you’re just getting started with testing or a seasoned pro, our guide will provide you with actionable insights you can implement today.

Learn how the four phases of the testing process work together to drive optimization.

  • Research
  • Pre-Testing
  • Testing
  • Post-Campaign Assessment

If you’re ready to test smarter and drive ROI for your program, fill out the form below for the full guide to direct mail testing today! 

3 Benefits of Behavioral Targeting in Direct Mail Campaigns

Posted on by Bryan.Formhals

 

Author: Camille Lehmann, Senior Marketing Specialist

 

If you’ve been in the direct marketing industry for any period of time, you’ve undoubtedly heard that data is a key driver of results. Better yet, highly targeted data. But this may leave marketers with the question – What kind of data should I use? The answer largely depends on your direct mail campaign history. Have you sent campaigns before, and do you have customer response data? If the answer is no, the first step is to begin with demographic targeting to be able to later use behavioral targeting for improved results in subsequent campaigns.

So what’s the difference between demographic targeting and behavioral targeting and how do you use them to increase your direct mail ROI?

Demographic Targeting Vs. Behavioral Targeting

Demographic targeting uses information such as age, gender, geographic location, income, and vocation to target an audience. While there are hundreds of additional data points available for use, the first time a brand mails, these are often the only data points available, since there is no previous response data. Demographic data is frequently used to create a predictive Lookalike (or Profile) Model as a first step to predict those most likely to respond. It is not ideal, as it is simply not as powerful as analytic tools that utilize past behavior. After enough initial responders are gathered, strategists and analysts use this information to learn which people have an affinity for the product and are likely to respond via direct mail. If creative tests were done, we gain insight into which type of creative copy and formats appeal to responders. The response data is used to build a more sophisticated response model, which utilizes both demographic and behavioral data. It is based on the principle that past behavior indicates and is predictive of future behavior.  We then implement behavioral targeting in the next campaign and beyond.

Behavioral targeting and analytics use a brand’s own data, usually in the form of direct mail response and corresponding purchase data for better acquisition results. Marketers must consider how they will capture and measure response, so that information can be used to inform future decisions, making behavioral targeting more successful. Examples of this include using custom QR codes, a personal URL only for that campaign, a 1-800 number, or promotional codes unique to each campaign file.

“By utilizing data across sources, we can identify highly predictive data elements—leading to greater response and conversion results.”

-Alan Sherman, VP Marketing Strategy

Once you acquire behavioral data, why should you consider using behavioral targeting in your next campaign?

Benefit #1: Advertise to Consumers Likely to Engage

When you target behaviorally, you are analyzing the behavior of past responders and using that behavior to find more consumers like them. Targeting likely responders means better results.

Benefit #2: Print Less, Spend Less

Using behavioral targeting is more cost-effective when the data is available. The more targeted your audience becomes, the smaller it gets. With rising paper and postage costs, a smaller, but more responsive audience becomes more efficient to reach, both from financial and environmental perspectives.

Benefit #3: Greater Marketing ROI

While your audience is smaller, it is also more responsive. No longer is money spent on people who have less interest in what you are selling. The combination of spending less on materials and having a more responsive pool equals a greater ROI.

We’re data experts at Nahan with access to more than 20 of the best data sources comprising over 25,000 data points. Our decades of experience paired with the amazing partners we work with, means you get service that can’t be beat. We’d love to help you reach your audience the best way possible with your direct mail campaign. Contact us today to find out how we can help you increase your ROI.

A Guide to Direct Mail Testing Today

Testing is a key component of any successful direct marketing program. The most impactful direct mail marketers are constantly testing creative, lists, and offers, which enables them to make marketing decisions armed with more insight.

We have found that testing means different things to different people. Clients approach it in a variety of ways.

In this white paper, we provide an insiders guide to effective direct mail testing for programs of all sizes and across industries. It doesn’t matter if you’re just getting started with testing or a seasoned pro, our guide will provide you with actionable insights you can implement today.

Learn how the four phases of the testing process work together to drive optimization.

  • Research
  • Pre-Testing
  • Testing
  • Post-Campaign Assessment

If you’re ready to test smarter and drive ROI for your program, fill out the form below for the full guide to direct mail testing today! 

The Importance of Data in Direct Mail Marketing

Posted on by Bryan.Formhals

Author: Alan Sherman, VP of Marketing Strategy

Quite often, when we work with clients in direct mail marketing, creative development is the first focus. But, just as in any marketing channel, who we target is just as important, if not more so for driving increased direct mail response and a successful direct mail campaign. For a full-service direct marketing company like Nahan, using data in direct mail marketing is a crucial component of an integrated success chain that includes strategy, data, creative and production execution.

Direct mail provides more data points to target against than any other marketing channel. The typical national data compiler manages over three thousand data points per person.*  Combine a multi-sourced wealth of data with sophisticated predictive analytics, and we can precisely rank prospects based on their propensity to respond (or other desired outcomes).

Let us take a look at typical data used by various direct mail industry clients. In the interest of time and space, what follows is not an exhaustive list.

Financial Services and Insurance – Credit Data

For financial and insurance clients, we see widespread use of credit bureau prescreened data – both in terms of trigger (credit or insurance inquiries by consumers) and broad market (often dictated by credit score and other data points) campaigns.

As a direct marketing service provider, Nahan partners with credit data agents, which can provide unique sources of value. Credit data agents typically receive and maintain real-time data from all 3 main credit bureaus, providing a comprehensive picture of all credit behavior across bureaus. More data across all 3 bureaus means more net qualified names, typically 15-20% more, and improved credit decisioning.

It also means more flexibility in terms of FCRA regulations, allowing for counts to be more easily run before actually pulling a file. Typically, when one pulls a complete prescreened credit file, one is obligated to make everyone on that list a firm offer of credit. Credit data agents have more flexibility in this regard. Custom models can make use of both credit and non-credit data for increased predictive power.

While credit data is usually the go-to data source for most financial and insurance acquisition mailers, it can often be supplemented by Invitation to Apply (ITA) data, which is primarily driven by a lifecycle event – such as college graduation, marriage, having children and buying a home. While ITA prospects are typically not as responsive, it is less expensive, and can be tested and paired with credit data as an effective supplemental data source.

Multiple Industries – Modeled Compiled Data

Compiled data is just that – data compiled from multiple sources and then linked to individuals and households. It’s typically used in travel, healthcare, retail, telecom, and auto direct mail.  There are a number of medium and large-sized data compilers that we partner with to provide the best data for our clients. Compiled data typically includes demographic, psychographic, and attitudinal data. 

Demographic data includes data elements like age, gender, income, occupation, and more.

Psychographic data is focused upon people’s interests and hobbies, often obtained via surveys, donations, and specialty lists.

Attitudinal data reflects attitudes and belief systems, typically from surveys and donations made to non-profits.

Compiled data is best paired with predictive analytics to identify the data elements that will give the greatest response.

Catalogers, Non-Profits, E-tailors and Others – Cooperative (Co-op) Data

Co-op data is customer purchase data collected from thousands of co-op members and maintained in a database. Typically, a member marketer must provide their customer data on a regular basis to join and participate. Co-op members include companies from the catalog, retail, etail, continuity, non-profit, publishers, finance, insurance, and business-to-business industries. Some co-ops focus on non-profit donation behavior specifically.

Co-ops collect over 1500 data elements for a given household and cover 190MM U.S. consumers. The depth and granularity of the data can vary by co-op. Given that customer behavior is often the most predictive of future behavior, this data is very powerful in its ability to predict the future response and purchasing.

Using marketer-provided customer purchase data, the co-ops use predictive models to find prospects elsewhere in the database with similar product and purchase behavior. Co-op data has long been a go-to data source for catalogers, replacing many of the more expensive specialty, “vertical” lists that exist, such as magazine subscriber files.

Business-to-Business (B2B) Data

B2B direct mail data used to come from two main data sources – Data Axle (formerly InfoGroup) and Dun & Bradstreet. They are still major players providing excellent data. Both, along with a continual flow of new players, now offer much more than the traditional data points like annual sales, number of employees, SIC code, and NAIC Code. Data points such as B2B buying behavior, public filings and linked consumer information all provide additional targeting insights. Because people change jobs much more frequently than they change addresses, B2B data is more challenging and labor intensive to maintain and keep up to date, resulting in a higher cost.

The Role of Analytics

The performance of all data mentioned here can and should be enhanced by predictive analytics. We simply can’t leverage any of these types of data to their full potential without the use of modeling to prioritize prospects. While a predictive model adds to the cost, it usually pays for itself in the first direct mail campaign with the increased direct response it produces. Depending on the circumstances, the model can be re-used until market conditions change. Machine learning and artificial intelligence have sped up the modeling process, and in certain cases, such as co-op data or credit models, new models may be built with every direct marketing campaign.

Our Data Role

Nahan has deep and long-time relationships with many types of direct mail data providers and list brokers. We can determine which source is the right fit for our clients’ objectives. Typically at a lower cost than our clients can obtain on their own. Our expertise ensures the best possible data at the best possible price. For any questions about data, please feel free to reach out to me at alan.sherman@nahan.com.

*Source: WebFX

Bio: Alan Sherman is our Vice President of Marketing Strategy. Alan enhances Nahan’s current value proposition with strategy solutions that support new/existing client relationships. For clients, he leverages market, customer, and competitive intelligence to build achievable strategies for omnichannel marketing success. His marketing plan strategies include targeted data, predictive analytics, testing and creative that drive ongoing client performance improvement. In his spare time, Alan enjoys spending time with his family, traveling, going to concerts, watching sports (he’s a fan of the NY Giants, Boston Red Sox and Celtics) and walking the dog, even though it was just out.

What is Variable Data Printing? A Closer Look.

Posted on by DigitalTeam

Author: Jon Legg, Data Processing Department Leader

In today’s data-driven marketing world, utilizing the power of your data can be the difference between a good marketing campaign and a great marketing campaign that produces a fantastic ROI. A question that we often get asked is “What is Variable Data Printing and how does it work?”

What is Variable Data Printing?

Variable Data Printing is using your customer’s data to change text, images, or other content from one piece of mail to the next.  Instead of printing one form 100,000 times you can instead print 100,000 highly individualized pieces.  And when we say highly personalized we are talking about more than just a salutation line that says “Dear John Doe.” 

At Nahan we have done a wide range of projects that utilize variable data printing.  The following four specific examples show what highly personalized could look like to you.

  1. One project had hundreds of mall locations and for each record, we used a field in the data to variably pull the closest mall to the consumer, a logo for that mall, hours of operation, and a mall directory. 
  2. Another project required us to uniquely link over 400,000 photographs so that each record imaged the correct photograph. 
  3. A third project involved providing each recipient with a personalized map that showed their house on a map, the nearest store, and a highlighted route between the two.
  4. Lastly, another project showcased a piece that changed all of its content based on the consumer.  Family of four?  All content showed family-friendly activities and all images changed to photos of families.  Single?  The entire piece changed to show photos of adults with more of a focus on entertainment and nightlife.

Variable data printing can do all of this and more. 

What is Variable Data Printing

As we like to say, “Where there is data, there is opportunity for customization.”

What Files Are Needed For a Variable Data Project?

At Nahan we can accept all types of files and work with you to get more out of your mail list.  Our preferred file format is a CSV file transmitted to our SFTP site.  We are also able to use API integrations to directly link with our customers to provide a more seamless transfer of data; both to Nahan and back to our customers.  This can include return files, reports, and much more.

How is Data Kept Safe?

In today’s digital landscape we can use data for just about anything, which makes that data extremely valuable.  Sadly, the bad guys know that as well and are constantly looking to get their hands on data.  But Nahan takes pride in keeping your data safe.  We are PCI compliant and are equipped to work with HIPAA data. We have lots of hands-on experience with both.  Beyond that our data processing team is literally in a locked room that requires two different forms of authentication just to get in! Given all the efforts that we put into data security, you can rest assured that not only will Nahan keep your data safe, but we will also put it to work for you! 

Working Together on a Strategy

As a company, we are not afraid of pushing the boundaries of what can be done with data.  We are constantly using the newest technology and then working to perfect it.  We also have a data processing team that is equally unafraid of pushing limits and seeing how much we can do with a simple mail list.  Let’s work together and see what we can get your next mailing to do for you! Contact us or visit our marketing services page to learn more.

Author: Jon Legg is a Department Leader at Nahan Printing and started with the company in 2015.  He currently oversees the Data Processing department as well as the PreMedia department.  This means that any files, whether art or data, all come through Jon’s teams.  When he isn’t at work Jon loves spending time with his wife and daughter, traveling (usually to Disney World), and working with our local theater company both on stage and as a Director.