If the first three parts of this series explored what’s possible when context becomes the driving force behind customer data, then this one asks a more grounded question:
How do we actually get there?
I’ve spoken with teams who are genuinely excited by the idea of using memory, inference, and context to make their CDPs smarter. But many feel stuck between inspiration and implementation. They see the potential, but don’t quite know where to start.
Let’s be honest, the martech stack is already complex enough. The last thing anyone wants is to bolt on a new
