The Product Marketing Tech Stack in 2026: What a Modern PMM Stack Looks Like
Product marketing should pay for only part of its stack. What to buy, what to borrow from sales and RevOps, and how MCP ties it together.
Product marketing insights, strategies, and best practices.
Product marketing should pay for only part of its stack. What to buy, what to borrow from sales and RevOps, and how MCP ties it together.
An AI product marketing platform runs the entire product marketing function on one shared, always-current knowledge base. What it is, and why it needed AI.
How to evaluate an AI product marketing platform: a vendor-neutral checklist that tests propagation and autonomy, built for one-to-two-person PMM teams.
The honest playbook for AI in product marketing: which prompts work, where they break, and why PMM should own the company's AI knowledge.
AI can run win/loss interviews cheaply and continuously. The operator's job is the automate-versus-keep-human line, and offering buyers both a form and a voice.
A per-competitor profile and a you-vs-rivals matrix, plus where to source every field, why each row needs an action, and how to keep it current.
What a message map is, how it differs from a messaging framework, a step-by-step build method, a worked example, and a free template.
A copy-ready value proposition template, the frameworks behind it, and 8 B2B SaaS value propositions graded honestly against a 5-test rubric.
What makes a competitive advantage real? A definition, 10 moat-backed examples, and an honest test for telling a moat from a mirage.
Direct competitors sell the same product; indirect ones solve the same need a different way. Definitions, a 4-type framework, and 10 B2B examples classified.
Eight B2B messaging examples scored against one five-point framework, and what happened when their famous taglines got overwritten by generic AI copy.
Marketing as code runs a marketing team from a shared repository where AI agents draft and operate the work. The agents are the point, not the repo.