Post-sale revenue engineering
Fix Revenue Leakage.
Amplify Post-Sale Growth.
Customer experience engineered with AI
The Problem
Most post-sale functions run on instinct and spreadsheets.
Companies invest 10× more in acquiring customers than keeping them. What remains runs on gut feel, informal process, and whatever the most vocal CSM decides to do that week.
<8%
of company budget goes to post-sale
The function is responsible for retaining 100% of existing revenue.
26%
average B2B churn rate per year
Most preventable. Rarely caught in time.
12%
valuation uplift per 1–2% GRR improvement
Companies with 95%+ GRR achieve 8–12× revenue multiples.
Who We Work With
Built for scaling tech companies with a post-sale problem.
We work with B2B SaaS, AI-native, and tech-enabled businesses between $5M and $100M ARR, companies where the post-sale function exists but has not yet been engineered.
CS & CX Leaders
CS team reactive, always firefighting
Health scoring manual or absent
GRR reported quarterly, not managed weekly
Every CSM runs their own version
Renewals start 30 days out, not 180
Support Leaders
Ticket volume growing faster than headcount
CSAT inconsistent, root cause unclear
Cost to serve climbing with no visibility
Expected to implement AI, no starting point
Knowledge base outdated and unused
Implementation Leaders
Time to value is longer than it should be
Onboarding margin thin and shrinking
Sales handover loses context every time
Go-live celebrated; no one measures after
Early churn blamed on product; it is onboarding
Founders & CEOs
Post-sale running on goodwill and headcount
GRR not yet a managed board metric
Retention problem visible, bandwidth to fix, not yet
Hiring more CSMs is not solving it
Valuation conversation coming, GRR is the gap
How we work
We do not consult and leave. We build, then stay.
Three phases. Each one designed to fit your business.
Results timeline
What happens after you say yes.
Three phases. Each one designed so the next makes sense.
Diagnose and quantify
Maturity assessment, As-Is interviews, gap analysis, revenue impact model. You see the full picture — often for the first time.
Align and scope
Gap Analysis readout to leadership. Engineer phase scoped week by week. Revenue model becomes the internal business case.
Build and configure
The system goes in. Health score, playbooks, renewal motion, save protocol. Team trained throughout — nothing lands cold on go-live day.
Dashboard and handover
Leadership gets visibility. CS Ops dashboard live. GRR becomes a managed metric for the first time. Your team owns the system.
Monitor, improve and compound
Dedicated Advisor and Ops Analyst embedded in your book. Weekly engine running. One improvement initiative per quarter. GRR compounds.
$25M ARR · Level 2 · Series B prep
Directional benchmarks based on industry data. Actual results depend on starting point and team adoption.
GRR
83% → 92%+
Save rate
<20% → 50%+
At-risk visibility
At renewal→90 days out
Renewal motion starts
45 days→180 days
Est. ARR recovered
~$2.9M
The system we build belongs to your business. If the Engineer phase does not deliver what we scoped — you leave with a fully built system, trained team, and live dashboards. The work is yours. It does not leave with us.
Five questions. Your work email. Under four minutes. We will tell you your maturity level, your highest-impact gap, and whether a conversation makes sense. No pitch. No demo request.
