What is a PRM? A plain-English guide to Personal Relationship Managers
A PRM keeps your relationships warm the way a CRM keeps a pipeline moving. Here is what one does, who needs it, and how it differs from the tools you already use.
From the team at Mash
Resources
Guides, playbooks and ideas for people whose relationships are their business — from the team building Mash.
PRM vs CRM: what's the difference?
A CRM is a glorified database your company owns. A PRM keeps track of the people behind your book. Here's the difference.
Five minutes before the meeting: a prep ritual that actually sticks
Most meeting prep fails because it asks for thirty minutes you do not have. Here is a five-minute version built around three questions, and how to make it automatic.
Why most professional relationships quietly go cold, and the simple arithmetic behind it
Nobody decides to let a relationship fade. It happens because attention is finite and networks are not. A back-of-the-envelope look at why, and what changes it.
You Don’t Have a Data Problem. You Have an AI Problem.
Every vendor says your data isn't ready for AI. That framing is backwards, it defers value indefinitely, and it misdiagnoses which half of the system is actually failing.
Why Representation Matters More Than Retrieval in GTM AI
Retrieval finds text that resembles the query. Representation knows what a thing is, who it belongs to, which version it is and whether it can be used. Only one of those is safe in a live deal.
Why MCPs Alone Can’t Power Truly Intelligent GTM Systems
MCPs standardize how AI reaches your CRM, docs and transcripts. That is access, not intelligence — and for revenue teams the gap between the two is where the wrong answer lives.
You’ve Been Sold a Lie About AI
AI was supposed to transform go-to-market productivity. Most teams got another tab nobody opens. Where the promise and the results actually diverged, and why the data is not the reason.
Why “Chunking” Your GTM Data Isn’t Enough: The Shift from Retrieval to Representation in AI Knowledge Systems
Ingest, chunk, embed, retrieve: how most AI knowledge tools actually work, why splitting your GTM data into fragments throws away the part that mattered, and what representation looks like instead.
The Internal Knowledge Problem Slowing Down GTM Teams (and How to Fix It)
The knowledge your go-to-market team needs exists, but it is scattered across Slack, docs and a few people's heads. What that costs in deal cycles and ramp time, and how to fix it.
Case studies: custom knowledge systems, 2025–2026
Four engagements from the years Mash spent building knowledge systems for technical revenue teams.
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