A new book by Tim Conder · CXology

The Post-Sale
Operating System

A framework helps you understand the business. An operating system helps you run it.

The first end-to-end system for turning retention and expansion into a pipeline you can forecast. Not another customer-success playbook. An operating model for everything after the sale.

Tim ConderBy Tim Conder · 20+ years turning post-sale into revenue

The
Post-Sale
Operating
System

Turn retention and expansion into a pipeline you can forecast.

Tim Conder
Creator of CXology
The Post-Sale Gap

Before the sale, progression is designed. After the sale, we mostly hope for it.

Sales has a defined process. Marketing has one. Product has one. Then the contract gets signed, and too much of that discipline disappears, replaced by individual effort and instinct dressed up as process. Post-sale is not churn insurance. It is a revenue engine, and it deserves the same operational rigor.

The dread

The QBR with nothing new to say

A meeting that feels like a ritual instead of something that moved the customer forward.

The doubt

A health score you don't believe

Reported on, but built on lagging signals that move only after the problem already happened.

The silence

An account that stalled, and nobody could say why

Silence can look a lot like success. Until it isn't.

The System

Four parts. One working system.

The frameworks, lifecycle plays, calculators, health scoring, and capacity models are all here to put to work. Four parts take you from why post-sale breaks down to the infrastructure that makes it scale.

01Foundation

Post-sale is still run like churn insurance.

Part I makes the case for treating it as your most under-used source of growth, and lays the foundation the rest of the system builds on.

Read Part I →

02Pipeline

Sales gets a pipeline. Post-sale gets hope.

Part II gives retention and expansion the same five-stage discipline — Identify, Align, Advocate, Intent, NRR Close — so growth becomes something you can forecast.

Read Part II →

03Execution

A strategy your team can't execute is just a slide.

Part III turns the system into eight structured plays that deliver the right touch at every inflection point — so outcomes stop riding on your best CSM's memory.

Read Part III →

04Scale

The system has to hold when you step away.

Part IV is the infrastructure — data, health scoring, AI, and capacity planning — that keeps it running at scale.

Read Part IV →
Work With Me

I install the system, not just teach it.

I work with leadership teams to turn the operating system into a working post-sale operation. That can mean assessment, advisory work, implementation, or a deeper fractional engagement. The goal is the same: leave behind a pipeline, health model, lifecycle plays, and operating discipline your team can run without heroics.

  1. Days 1–30

    Assess & Prioritize

    A clear read on what's actually broken

    Maturity assessment, health-data audit, churn post-mortems, and customer interviews.

  2. Days 31–120

    Tailor, Build & Deploy

    A working post-sale operation your team runs

    Adapt the pipeline, the handoff, First Value, and the health-score matrix, then take the plays live.

  3. Months 5–10

    Stabilize & Mentor

    Durability after you step back

    Coach the team, tune the model against real data, and build the capacity and cost plan.

Proof

Numbers moved, and held.

Enterprise SaaS
84→100%
Logo retention, then held at 100% for six consecutive years.
Martech SaaS
110%
NRR within six months, with first-year churn eliminated.
Implementation redesign
<3 wks
Time to First Value, down from inconsistent and reactive.
Early-stage fintech
114%
NRR in its first year post-revenue, with 100% GRR.
Run your own numbers →

“Tim has created a unique product in the market that delivers practical guidance to improve customer experience, and ultimately bottom-line revenue.”

James L.
Tim Conder
About

An engineer who kept asking why retention had no system.

My background is in engineering, so I kept coming back to the same question: if retention matters this much, why hadn't anyone designed the system that produces it? For eight years I built, tested, and rebuilt it across enterprise, scaleups, and startups. Then I wrote it down, so other operators don't have to piece it together from scratch.

20+ years in CX / CS Enterprise → startup PE-backed operators Author & creator of CXology
Learn more about Tim →
Start Here

Read The Post-Sale Operating System

The system for turning post-sale into a revenue engine, start to finish.