Why Your Marketing Model Has Plateaued (and How to Fix It) There’s a moment every analytics team runs into after they build a high performing model. Campaigns are improving, results look promising, and then . . . nothing changes. The model plateaus. No matter how much you tweak your variables, adjust weights, or rerun the… Read more »
Getting More from Your Audience Strategy Select lists have long been a reliable starting point for marketers. They’re fast, accessible, and effective at helping you reach qualified audiences based on key attributes like demographics, geography, and behavior. When you need to launch a campaign quickly, they get the job done. But for organizations looking to go beyond solid performance and… Read more »
How Data Modeling Reduces Waste & Improves Efficiency Marketing waste is rarely obvious. It doesn’t always show up as a broken campaign or a failed launch. More often, it hides in plain sight, in over-targeted audiences, underperforming markets, duplicated efforts, and assumptions that go unchallenged. Many organizations are spending more on marketing than ever before yet struggling… Read more »
Finding new customers is getting more expensive and more competitive, especially as audiences become saturated and marketing costs rise. That’s why smart brands are shifting away from broad-based targeting and embracing precision growth strategies that focus on finding more people who look and act like their best customers. This approach is called look-alike modeling, and… Read more »
A great marketing model can be one of your most powerful tools. It helps you identify high-value customers and target prospects more efficiently. But even the most sophisticated model isn’t meant to last forever. Over time, the data behind your model and the market itself changes. When that happens, your model’s accuracy, stability, and reliability… Read more »
Even the best data models go stale sometimes, and more often than not, you’re using the same key data points as everyone else. The challenge becomes how do you breathe new life into your models and reveal hidden insights? If you’re struggling to increase your model performance or would simply like to score every record… Read more »
Direct mail remains one of the most effective ways to reach customers. It offers a tangible, impactful way to engage with your audience, but in an era where customers expect relevance and personalization in every interaction, how can printers stay competitive and deliver a truly targeted campaign? The answer lies in data modeling. Data analytics… Read more »
Even in the digital age, direct mail remains a powerful tool for reaching potential customers, especially when combined with data modeling techniques. In this beginner’s guide, we will walk through direct mail data modeling and the benefits of using it in your campaigns. Key Components of Direct Mail Data Modeling Data Collection: The first… Read more »
Customer acquisition is incredibly important to any growing business, but often companies overlook the value of cross-selling to their own customers. The likelihood of a new prospect buying from you is 5-20% while your current customers have a 60-70% likelihood. With current customers, you have already done the hard work of winning them over. They… Read more »
Even when you use unique data sets, data models can grow stale. The continuous challenge becomes how do you improve model performance and keep it fresh. When our models seemed flat, we searched for new ways to increase their predictive power. Our solution was to create 4600+ spatial variables that strengthened our models and allowed… Read more »
