If you’ve ever been in a meeting where someone says, “We need a new tool for that,” you’re not alone. Businesses often turn to new technology as a shortcut to better performance. But more often than not, the problem isn’t the tool. It’s unclear processes, misaligned goals, or the hope that software can solve what strategy has not.

Spam is inevitable when you’re generating leads at scale. From junk submissions to disposable email addresses, it’s part of the digital marketing landscape—but that doesn’t mean you can’t take steps to improve quality. Over the past few months, we’ve implemented several tactics across Google and Meta Ads campaigns to cut through the noise and help our clients get higher-quality leads while maintaining strong efficiency.

Are ad tech platforms worth It? For us, no. These tools rely on rigid, generic frameworks to automate campaign management and optimization. These companies need to make a profit and offer a single, stable product that works across clients. If they were constantly updating their software to match each client’s unique business model and every platform change, they’d have no functional product and no business. If your goal is measurable, sustainable profit, ease is not the sam

You may find yourself wishing you had more data to help you understand the value of your leads. In a perfect world, every new column would be filled out consistently, giving you richer, more precise insights. But the reality? Between chasing follow-ups and keeping existing scoring systems updated, asking sales to fill out multiple new fields just isn’t realistic. The good news: you may not need more fields. The data you need could already be sitting in your CRM, just waiting

Predictive models are powerful tools for making smarter marketing decisions, but as with any model, the details matter. One common consideration is whether to include source as a variable. At first glance, it makes sense since different audiences generate different types of leads. But when predictive values are used not just for reporting, but for network optimization, including source as a variable can introduce risks that undermine campaign performance.

In digital marketing, big declarations never seem to stop. We like to put permanent labels on things because it feels easier: easier to write something off, easier to believe that if you just do X, Y, and Z, you’ll win. Reality is never that simple. And yet, I still hear people confidently claim that paid search is dead. That one surprises me the most. I’m open to new ideas, but in my experience, paid search isn’t dead—it’s just harder, noisier, and far more sophisticated th