Most modern PPC tools were originally built with ecommerce in mind. That doesn’t mean lead gen marketers can’t benefit from them, but it does mean you have to use them more deliberately. AI-powered lead generation still demands strategic, creative thinking, and many of the same ecommerce-focused tools are useful — just not always in the same way. Below are the key priorities that matter most for driving lead gen success with AI. Disclosure: I’m a Microsoft employee. While this advice is platform-neutral, I’ll highlight examples that draw on Microsoft Advertising tools. The core concepts apply across platforms.
1. Fix your conversion data first
As AI becomes more deeply integrated into media buying, this is the single most critical step you can take. With changing attribution models, evolving privacy rules, varied platform integrations, and shifts in how people interact with brands, it’s fair to question whether your current data still reflects reality.
Begin with a thorough review of your CRM or lead management system. Ensure the data you send back to ad platforms is accurate, standardized, and purposeful. In many situations, data problems come from human decisions and processes rather than pure technical breakdowns. That said, there are several technical items you should verify:
- Check that conversion events are firing reliably.
- Monitor conversion goal diagnostics on a regular basis.
- Confirm that lead status changes and deeper-funnel signals are actually being passed back.
If AI is optimizing based on your data, you need to be sure the feedback loop mirrors what’s really happening in your pipeline.
Dig deeper: How to make automation work for lead gen PPC
Your customers search…