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ACTIVE.BUILDS14▲ +2LEADS.PROCESSED.Q2,418,772▲ +1.7%ENGINES.LIVE47▲ +3REV-SHARE.PAID$1.42M▲ +8.4%SLOTS.THIS.WEEK7/10▲ 3 leftARIA.UPTIME99.97%▲ stableCHURN.AVG.PORTFOLIO2.3%▲ −0.4ppAGENT.RESPONSE.MS287▲ −18msOPERATOR.DISPATCH.SUBS14,332▲ +412ACTIVE.BUILDS14▲ +2LEADS.PROCESSED.Q2,418,772▲ +1.7%ENGINES.LIVE47▲ +3REV-SHARE.PAID$1.42M▲ +8.4%SLOTS.THIS.WEEK7/10▲ 3 leftARIA.UPTIME99.97%▲ stableCHURN.AVG.PORTFOLIO2.3%▲ −0.4ppAGENT.RESPONSE.MS287▲ −18msOPERATOR.DISPATCH.SUBS14,332▲ +412
marketplace/B2B SaaS
Retention EngineB2B SAAS · DEPLOYABLE

Churn-Guard Retention Engine

Predicts at-risk accounts three weeks out and routes them into automated save-plays — turning silent cancellations into retained MRR.

// FROM

$6K + 10%

// DEPLOY TIME

21 days

// MODEL

Setup + rev-share on saved MRR

// the outcome

Recovers 2–3 points of monthly churn into retained MRR.

// how the engine works

01

RISK MODEL

churn.guard scores every account on usage decay, support signals, and adoption depth — flagging risk 21 days ahead.

02

SAVE-PLAYS

At-risk accounts route into automated, personalized save sequences; high-value ones get briefed to a human CSM.

03

EXPANSION SIGNAL

The same model surfaces expansion-ready accounts and auto-briefs the rep with the upgrade case.

// what ships with it

  • ✓churn.guard model
  • ✓Save-play automation
  • ✓CSM briefing workflow
  • ✓Expansion-signal alerts
  • ✓Retention dashboard

// proof

−2.1pp

// CHURN REDUCTION

+24%

// MRR LIFT / 90D

118%

// NRR FLOOR

// best for

  • ▸B2B SaaS with usage data
  • ▸PLG + sales-assisted motions
  • ▸$30K+ MRR products

// stack shipped

churn.guardexpansion.enginePostgres + pgvectorSlack + Linear

// claim this engine

Build the Churn-Guard Retention Engine.

Tell us where to point it. An operator scopes the build on a short call — no deck, no pitch.

// LAST CALL

The revenue engine
you've been waiting for
doesn't exist yet. Let's build it.

30 minutes. A real operator. No deck. No pitch.
A teardown of where revenue is leaking — and what we'd ship to fix it.

// avg response: 4h · slots booked this week: 7 / 10