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.

As digital behavior continues to evolve and platforms become more competitive, marketers need to adopt a more balanced approach to reach their audience effectively. Diversifying your media mix (by using multiple platforms, formats, and creative strategies) helps improve performance, reduce risk, and create more consistent results over time. Here's why this approach matters and how it supports long-term growth.

There’s a common misconception in digital marketing that you can choose between investing in SEO or running paid ads and still check the box on growth. On the surface, it might seem reasonable. If one channel is performing well, why spend money or time on another? But in nearly every case I’ve seen, businesses that rely on just one of these approaches are missing out. Whether it’s lost visibility, lower conversions, or simply fewer insights to learn from, the opportunity cos

Understanding what remarketing should say is only half the battle. The other half? Knowing how to price it properly. Remarketing campaigns may look efficient in platform dashboards, showing strong click-through rates and solid conversion numbers, or the opposite could be true, and this will vary based on your unique audience. Either way, if you’re pricing it purely based on what the platform tells you it “converted,” you may be missing the point and the actual value.