Fractional CMO Show

Casey Stanton is giving CMOs everywhere a quick tip to improve collaboration amongst their team, share client data safely, and save you time and money.    Takeaways: Using a "grow@" or "account@" email allows your entire team to log in to a client's tool while only paying for one account. Your client only has to share access to one account, however, you can still assign the right work to the right team member.  For the shared account, you should use some type of secure password-sharing software. The password should also be alphanumeric and you should consider changing it every 60 days. Quote of the Show: " Easy thing to do, pretty inexpensive, and just saves a ton of time"  - Casey Stanton   Links: Twitter: https://twitter.com/CaseyStanton LinkedIn: https://www.linkedin.com/in/caseystanton/ Website: https://cmox.co/invite   Ways to Tune In: Amazon Music: https://music.amazon.com/podcasts/039bc2d6-c1b5-4ced-ac2a-437e69546e7c/fractional-cmo-show Apple Podcast: https://podcasts.apple.com/us/podcast/fractional-cmo-show/id1592740671 Spotify: https://open.spotify.com/show/1HGwnjsXA4c4gYQvj4w53E?si=bd6e0908e25749ec Google Podcast: https://podcasts.google.com/feed/aHR0cHM6Ly9mcmFjdGlvbmFsY21vLmxpYnN5bi5jb20vcnNz?sa=X&ved=2ahUKEwjlpNDTveb0AhUXEFkFHaZcDtYQ9sEGegQIARAC YouTube: https://youtu.be/pyr04M9q-sA

Right now, experienced marketers are spending hundreds of dollars a month on AI tools they barely use, or bouncing between platforms every time a new model drops, and wondering why they're not getting more out of any of it. In this episode, Casey breaks down the exact AI stack he runs today as a fractional CMO, including why he has 12 Claude Code windows open at any given moment, why he thinks the $200/month plan is the cheapest high-value purchase he's ever made, and why the interface matters just as much as the model itself. But this isn't just a gear list. Casey makes a counterintuitive argument about where most people are leaving money on the table with AI, and it has nothing to do with which model they picked. He also walks through a real client problem he solved using AI in a way that a developer couldn't have cracked quickly, and the lesson he took from it about what CMOs should actually be using these tools for. The answer might change how you think about your practice. Key Topics Covered: Claude Code vs. ChatGPT Astra comparison Why the interface matters more than the model The $6 Uber ride era of AI pricing Using AI for computer use and autonomous problem-solving ChatGPT for images vs. Claude Design for vector graphics Why you shouldn't build things you have to maintain Choosing one platform and going deep vs. chasing every new model Take the First Step Toward Growth with CMOx  Booking a call with our team is super easy, stress-free, and all about YOU. Whether you're exploring options or ready to scale, this no-pressure consultation is designed to understand your needs and guide you in the right direction.  👉 CMOx.com/call    Join the Fractional CMO Community   Want to continue the conversation and get access to exclusive resources? Join our free Facebook group for fractional CMOs and marketing leaders! Inside, you'll find discussions, insights, and tools to help you grow your business and maximize your impact. 👉 CMOx.com/community  

The primary sources that marketers have relied on for years are quietly disappearing from AI. News organizations, forums, and media companies are locking down their content from the bots that power the tools everyone is rushing to adopt. What that means for how you serve clients, and for your own relevance, is something most fractional CMOs haven't thought through yet. This episode digs into why the AI tools your clients are counting on are about to get a lot less useful for real market intelligence, and what that creates for the fractional CMO who's paying attention. The more AI promises to replace human judgment, the more the humans who actually understand markets become irreplaceable. Key Topics Covered: Why major news sources are blocking AI crawlers and what that does to the quality of LLM outputs How Reddit and Twitter locked down their data and what that signals for where things go next The difference between what AI will keep getting better at versus where it's about to hit a wall Why "I use AI" means almost nothing without knowing which AI for which job The IBM quote on accountability and what it means for your role as a fractional CMO Why being the expert people want to work with matters more than any sales script What the CMOx Accelerator is building: network, process, and notoriety that AI can't replicate Take the First Step Toward Growth with CMOx  Booking a call with our team is super easy, stress-free, and all about YOU. Whether you're exploring options or ready to scale, this no-pressure consultation is designed to understand your needs and guide you in the right direction.  👉 CMOx.com/call    Join the Fractional CMO Community   Want to continue the conversation and get access to exclusive resources? Join our free Facebook group for fractional CMOs and marketing leaders! Inside, you'll find discussions, insights, and tools to help you grow your business and maximize your impact. 👉 CMOx.com/community  

Are you actually worth what you're getting paid? It's a question most senior marketers never ask themselves honestly, and the answer is getting harder to dodge as the tools, the tactics, and the competition all shift beneath your feet. This episode opens with a provocation aimed squarely at the folks making $200K, $300K, $400K a year, and asks whether the experience behind that number is still current or quietly rotting on the shelf. What gets unpacked is the real pressure fractional CMOs are about to face from younger, faster competitors who have less experience but more agility, and why a broad resume is becoming a liability instead of an asset. The argument lands in an unexpected place: the path forward isn't learning more, it's learning less, better, and in a much tighter niche. Key Topics Covered: Why high-earning marketers may not be worth what they're paid Experience expiring: how quickly yesterday's wins lose relevance The Dunning-Kruger trap for marketers experimenting with AI tools Claude artifacts, custom GPTs, and what rapid AI change means for your practice The real competitive threat coming from younger, faster practitioners Why niching tightly is about becoming deadly accurate, not limiting your options Becoming the person clients fight over instead of the person they settle for Take the First Step Toward Growth with CMOx  Booking a call with our team is super easy, stress-free, and all about YOU. Whether you're exploring options or ready to scale, this no-pressure consultation is designed to understand your needs and guide you in the right direction.  👉 CMOx.com/call    Join the Fractional CMO Community   Want to continue the conversation and get access to exclusive resources? Join our free Facebook group for fractional CMOs and marketing leaders! Inside, you'll find discussions, insights, and tools to help you grow your business and maximize your impact. 👉 CMOx.com/community  

When a developer ships AI-generated code that quietly starts misfiring, the technical team moves on. What's left is a customer experience problem, a reputation problem, and a relationship problem. All of which land in the lap of the one person who wasn't even in the room when the code got written. This episode gets into why that's happening more often than anyone wants to admit, and what fractional CMOs need to understand to stay ahead of it. Casey looks at the specific failure mode that shows up when vibe-coded solutions hit real-world conditions. Not hypothetically. A real incident, a real client, leads getting hammered with text messages in the middle of the night because an API endpoint moved and the code had no way to back down gracefully. The argument running through the whole episode is that understanding when a developer is doing something wrong has quietly become part of the fractional CMO's job, and the ones who don't see it coming will eventually pay for it.   Key Topics Covered: Where AI coding benchmarks actually stand right now and why the numbers matter to CMOs Why AI legal review is a mistake and AI coding is a legitimate tool The triple Venn diagram of predictable growth: strategy, talent, and leadership Agentic AI and what it means to have a capable agent pulling reports from a broken CRM The real cost when vibe-coded integrations fail without graceful backoff Second-order consequences of AI development and how to think about them Practical questions every CMO should ask developers before a custom-coded solution goes live Tools for keeping locally-hosted AI solutions secure, including Tailscale   Take the First Step Toward Growth with CMOx  Booking a call with our team is super easy, stress-free, and all about YOU. Whether you're exploring options or ready to scale, this no-pressure consultation is designed to understand your needs and guide you in the right direction.  👉 CMOx.com/call    Join the Fractional CMO Community   Want to continue the conversation and get access to exclusive resources? Join our free Facebook group for fractional CMOs and marketing leaders! Inside, you'll find discussions, insights, and tools to help you grow your business and maximize your impact. 👉 CMOx.com/community