You know data quality is important. As a marketer, you’re aware that poor data quality can lead to ineffective campaigns, inaccurate analysis, and wasted money. However, you’re also working on a dozen other things. Luckily, we’ve put together four quick data quality tips for you that are actionable and effective.
As a marketer, you’ve got a tough job and all eyes are on you. As you wade through your sea of options, you’re constantly thinking about optimizing your marketing. You’ve heard the buzz about predictive analytics and modeling, but you’re not sure how it applies to direct mail. Learn more in this post. (UPDATED: February 19, 2019)