Don Bowman / June 11th, 2018
In an age of email, social media, and big data, marketers have many choices for engaging their customers and prospects. By leveraging multiple channels and consistent messaging across all of your marketing touchpoints, you’ll quickly be able to see why direct mail is one of the most impactful channels you have at your disposal.
Although many might say they believe in the power of direct mail, a common question that often arises is, “How can I make my direct mail marketing piece effective?”
The answer to that is simple: you need good data and a great message.
Your approach to any direct mail campaign should always focus on data first.
Like other marketing channels, the need for accurate and pertinent data is what builds the foundation of your campaign. If your data isn’t accurate and relevant to your target audience, your return on investment (ROI) results will be inadequate. Remember, the quality of your data is crucial to not only engaging your current clients but in prospecting for more of them.
Here are two key factors to keep in mind about your data:
Making sure your data is accurate and up-to-date is essential to maintaining the trust of your customers.
Data is not something that’s freely given anymore. Like trust, it’s something you need to earn. In fact, according to Bardess Group: “the implementation of a Data Quality Initiative ultimately leads to increases of 15 to 20% in revenues and 20 to 40% in sales.”
Here are three actions you can take to make sure you’re working with quality data.
Remember, putting in the extra effort on the front end to properly review your data will reap tremendous benefits as you associate facts and events with your prospects and customers.
It’s easy to buy data for prospecting, but how do you know what data to buy?
A data modeling program is an excellent tool to help guide you and takes the guesswork out of determining who your best customers are. The goal of data modeling is to define a company’s target customers and leverage their most important characteristics to establish an optimal audience for marketing efforts. This process typically includes both an in-depth profile of your current data as well as a statistical view of the targets.
Keep in mind that many times, what clients think about who their best customers are is inaccurate or too broad. A data modeling vendor can take your list and run it through their algorithms to find demographics that stand out. Once they have run this process, they will deliver a report showing the characteristics that make up your best customers. This information is useful in two ways: First, you can use that model to find new potential customers, and secondly, you can now market to your current customers in a more targeted way.
Data is the lifeblood of any organization. What are you doing to treat it as such?