Navigating AI in Marketing: Strategic Guidance for SaaS Leaders

Discover how AI can elevate your marketing strategy.

  • With so many AI tools available, it’s hard to know which are worth adopting. I’ve used dozens across copywriting, creative, messaging, and campaigns.

  • I’ve found that the cost and effort often outweigh the value—unless you know which tools deliver real results. I got pushed into some tools under pressure from leadership to adopt AI - and I see the value. I’ve got a framework I can share on how to think about which areas of the business to apply AI.

  • AI certainly brings scale to testing, creative production, and new messaging ideas. But the challenge is all those new ideas have to be executed on different channels and budget has to be allocated to testing. There’s still no easy button on program setup & execution.

  • Who has my data and how are they using it - it’s still a driving factor slowing adoption of AI tools. And the resources required to fold AI into operations in a safe and lower-risk way are not trivial - particularly for a startup.

Working with me…

Tool Selection

Distinguish between hype and practical application - and how to make a defendable business case for more martech with leadership and finance.

Proper Use & Best Practices

How to leverage the tools for different marketing applications - best practices on prompts, what to expect, and what not to expect.

Org Readiness & Process

In the race to embrace AI - many leaders are misled into thinking it instantly helps cut costs and makes marketing more efficient - it can do the opposite if not incorporated effectively.

Expertise to Separate AI Hype from Reality

Paying solely for AI-in-marketing advice rarely makes sense, which is why I’m happy to chat for free wherever you are in your AI journey. AI is a remarkable innovation that’s already reshaping industries. But here’s the reality—in most marketing applications, it doesn’t do what the vendors tell you it can do for your brand. It still requires time and attention from your team at minimum, and in the most compelling applications, it requires tremendous investments in data quality and technical resources.

As marketing leaders, our job is to invest where we can measure tangible ROI—while some AI use cases deliver, most still offer ‘promising potential.’ When your job is on the line, you deal in reality, not hype.