Marketing Qualified

The ROI Odyssey

Mike Griffin & Chris Newton Episode 29

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0:00 | 36:06

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ROI used to feel like a straight line: run campaigns, collect leads, prove impact. Now it feels like a maze of multi-touch attribution, platform changes, and “helpful” AI tools that can ship work fast while quietly getting key details wrong. We dig into why that’s so risky, especially when the data you collect becomes the data you use to make budget decisions six, twelve, or twenty-four months later.

We also take on the build vs buy debate for SaaS in the AI era. You’ve probably seen the hot takes claiming every company can just AI-code their own HubSpot or Salesforce replacement. We break down where building can make sense, where buying is the only sane move, and why critical systems like marketing attribution, CRM, and analytics dashboards punish you when you cut corners on expertise, maintenance, security, and adoption.

To close, we run a tier list of marketing strategies based on real-world effectiveness: why killing top-of-funnel is a dead end, why SEO and organic content compound into an S-tier channel, where paid social fits depending on your ICP, and why email marketing still delivers some of the most measurable ROI in the channel mix.

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