For years, marketers have been talking about AI. At this year’s Think Leads event, it finally felt tangible and purposeful. Google pulled back the curtain to reveal how AI is reshaping everything from how consumers search to how advertisers define and predict value. The message was clear: AI isn’t coming; it’s here. And, those not yet embracing it are already behind.

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.

Predictive modeling equips businesses to assess lead quality in real time—accelerating campaign optimization and revenue growth.