Field notes on marketing operations, technology stacks, career growth, and the future of MarTech.
Tech Stacks
Platform deep-dives and stack guides for the tools MarTech teams run on.
Marketing automation gets described as 'sending emails automatically' — which badly undersells it. Here's what it really is, the mechanics underneath, and where it breaks.
Both are excellent first CRMs to learn — but they lead to different careers. Here's an honest comparison to help you pick the one that fits where you want to go.
A MarTech stack is easy to assemble and brutally easy to overspend on. Here's how to design one around your data and workflows instead of around vendor demos.
Most lead-scoring models are too complicated to trust and too brittle to maintain. Here's how lead scoring actually works and how to build a model that sales will use.
Attribution is where marketers get into the most arguments and the most trouble. Here's a clear, honest explanation of the models, their trade-offs, and how to pick one.
CDP, CRM, and DMP get used interchangeably and they shouldn't be. Here's a clear, practitioner-level explanation of what each one is, what it's for, and when you need it.
Specialising in the right platform shapes your whole MarTech career. Here's an honest comparison of HubSpot, Marketo, and Salesforce Marketing Cloud from a career angle.
You can build the perfect email and still have it land in spam. Deliverability is the invisible layer that decides whether your messages are even seen. Here are the fundamentals.
Most stacks accumulate waste quietly — unused tools, overlapping capabilities, broken integrations. A structured audit is how you find it. Here's a repeatable process.
A lead lifecycle only works if both teams trust the definitions. Here's how to design stages, agree the handoff, and build a feedback loop that survives contact with reality.
Email has evolved into cross-channel lifecycle marketing. Here's how the modern stack — Braze, Klaviyo, Iterable and the data layer beneath them — actually fits together.
2026 is the year of "Content Authenticity." Learn how Salesforce Marketing Cloud and GenStudio are fighting AI homogenization and algorithm volatility.
In 2026, Salesforce Admins are the guardians of AI. Learn how Zero Copy architecture and Data Cloud governance have replaced basic configuration as the top skills.
The era of pure coding is over. In 2026, Salesforce Developers must master Agentforce, Multiagent Systems, and Data Cloud to survive. Here is your new roadmap.