Tips To Remember While Purchasing Quality B2B Marketing Email List
Ask every B2B marketer, and each will tell you the same thing: great data is required to establish a powerful marketing list. Sure, engaging content and appropriate calls to action might help, but the best method to attract new leads is to provide them with information that they desire in the first place.
Today’s world of B2B communications revolves around the concept of “Big Data.” The days of marketing professionals relying entirely on organic contacts and the draw of their particular content are long gone. There may not be enough lead potential in your internal database for newer firms, especially SMEs, to enhance your brand recognition.
But, like with any purchase decision a company makes, there are a number of factors to consider. How can you tell if you’re getting good value for your money? When it comes to B2B data, who are the leading vendors? How do you ensure you’re not breaking marketing regulations while emailing such contacts in a world fraught with compliance issues?

The heart of any professional’s direct mail marketing plan is, without a doubt, mailing lists. You’re probably losing out – big time – if they’re not a part of yours. As per a survey;
- Direct mail users spend 28% more money and buy 28% more things than those who don’t.
- Direct mail has a return on investment of 29%.
- Direct mail is preferred by 73% of American consumers as it allows them the flexibility to access them whenever they want.
You might be thinking to yourself, "Who sends direct mailers anymore?" Is direct mail even effective anymore?
The short answer is that experts in the know continue to send out mailers. And, yes, direct mail marketing is more effective today than it has ever been.
According to MarketingSherpa, 76% of consumers prefer direct mail to digital channels when making a transaction.
The success of a direct mailing campaign is determined by a variety of parameters, including mailing list segmentation, right marketing messaging, mail format, your marketing strategy, frequency of your messages, and so on. This is why it’s the last thing you want to be thinking about is whether your mailing list data is correct, up-to-date, and trustworthy. Because when the data that powers your mailing lists is poor, your marketing initiatives suffer, and your business suffers as a result.
However, before you go out and buy a mailing list, you should ask a few questions and make sure you know what you’re getting into.
What Is a Mailing List, Exactly?
Let’s start with defining a mailing list. So a mailing list is a database of people’s addresses that you can use to send them discounts, special offers, and other offers with the intent of enticing them into your services and products.
Originally, direct mail was sent out in bulk, with no consideration for who received it. To better target your ideal customer, the best mailing lists are generated with a lot of clear, refined data. However, as the ability to acquire personal data improved, the ability to target specific audiences improved as well.
Why would you want to purchase a B2B email list in the first place?
The most crucial items to emphasise here are two key elements that must be regarded at all times. It takes time and effort. Have you heard the expression “time is money” before? Building a B2B database from scratch, on the other hand, might be a time-consuming process. Not only does it usually necessitate a significant investment of your time, but it also involves a considerable amount of trial and error as you try to attract the ideal audience for your product or services.
Here are 7 tips to ensure that the data and mailing lists you're purchasing match those and other criteria.
- When you purchase a mailing list, what you are essentially buying is data. You would like the data to have size and scope, to be current and accurate, to be adaptable and actionable.
- How Frequently Is Data Refreshed? – Property data and owner information must be updated and renewed at least once every 30 days. You’ll be buying an outdated and unreliable prospect list if you wait longer than 30 days.
- How Clean Is the Data? – The majority of data is filthy. If the data for a marketing list is just reviewed for duplicates and insufficient data, you won’t get your money’s value.
- What is the source of the data? – Data should come from a variety of places, including the county assessor, county recorder, county geographic information systems (GIS), census, and others. Don’t trust list vendors and brokers who sell ‘bulk’ data that is 2, 4, or even more than 8 months old and can’t authenticate the data’s provenance.
- How Detailed Can You Segment Lists? – Adding customized segments to your lists, can additionally cost you. Find out if all you get for a base list is a name and an address. What is the cost of adding criteria? Is it a one-time fee or does it depend on the criteria? How many data points can you add to your lists to help you define them more precisely? It can be costly, especially when it comes to renewal.
- How Handy is your list? – It’s critical to figure out how you get your data. How much effort will it take to make it usable if you can’t readily export information to a CRM, direct mail service, or any helpful marketing app? The more prepared and actionable your list is, the more likely it is to be successful.
- Any Additional Insights Complementing Your Lists? – What more insights come with your list, other than from the datasets you used to define the lists you buy? It’s usually useful to know what the people on your list have in common and what they have in common. The more you understand these finer points, the better your messaging will be and the more likely you will be to convert those cold leads into closed agreements.
Don’t let inaccurate data infiltrate your mailing lists, hamper your marketing campaigns, and ultimately reduce your ROI.
Try us, DataInfometrix has been the world’s finest list-builder since 2007, with accurate, reliable data points, an industry leader with multiple filtering metrics, and the ability to improvise large numbers of data points to create the most popular mailing lists globally used across industries.

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