ChurnRX

Platform

Connect. Measure. Diagnose. Share.

Everything from raw subscription data to a board-ready answer. Connect your CRM in minutes, measure your PMF four ways, let Churn AI surface what to do, then export it for your next operating review.

Connect

Plug in where your customer data already lives.

Three paths in. No engineering work. You’re looking at your first survival curve in minutes, not weeks.

Live connector

Salesforce

Pulls Account, Contract, and Opportunity history. Mapped to ChurnRX's data model on first sync — no field-by-field setup.

OAuth · sandbox + production
Live connector

HubSpot

Pulls Companies, Deals, and lifecycle stage transitions. Daily incremental sync once connected — your dashboard stays current automatically.

OAuth · daily sync
Three columns

CSV upload

Signup date, end date, customer ID. Drag-drop a file from your billing system and the analysis runs in two minutes.

Two minutes from file to answer

01 · Churn Type

Get the structural answer in one number.

The Churn Type tab is where you start. Your PMF Score, the survival curve, and the breakdown of your three customer populations. If you only ever look at one screen, look at this one.

  • ·Your headline PMF Score and the stage it puts you in.
  • ·The overall survival curve, colored by severity, with the bonded floor visible.
  • ·Your three populations — Bad Fit, Gradual Exit, Bonded — and what each one means for your roadmap.
app.churnrx.com
Churn Type
Trend Analysis
Retention Factors
PMF Score
17%
Emerging PMF
Annual churn
24%
Half-life
22 mo
Avg lifespan
4.2 yrs
Bonded
17%
Overall survival curve
060 months0%100%
Three customer destinies
Bad Fit30%
Gradual Exit53%
Bonded17%

02 · Trend Analysis

See whether you’re getting structurally stickier.

Aggregate retention can rise while your bonded fraction shrinks. Trend Analysis prevents that. Every cohort gets its own survival curve and its own PMF Score, so you can see — month-over-month, quarter-over-quarter — whether the business is compounding or eroding.

  • ·Cohort survival curves overlaid on one chart.
  • ·Year, quarter, or month granularity — whichever cadence fits your business.
  • ·Per-cohort PMF Score so the trend in permanence is visible directly, not just inferred from curve shapes.
app.churnrx.com
Churn Type
Trend Analysis
Retention Factors
Cohort survival · by start year
’26’25’24’23048 months0%100%
’26 · PMF Score 34%’25 · 26%’24 · 18%’23 · 11%

03 · Retention Factors

Find what actually drives retention in your data.

Every column you upload becomes a candidate predictor. Retention Factors ranks them by impact — by how much they separate bonded from non-bonded customers — so you can see which attributes of your customer base actually matter for staying.

  • ·Every CSV column ranked by impact on retention.
  • ·Per-segment survival curves for any attribute, with one click.
  • ·The signals you can act on — for GTM targeting, product investment, and customer success motions.
app.churnrx.com
Churn Type
Trend Analysis
Retention Factors
Attribute impact · ranked by PMF lift
Industry · Healthcare IT
+14 pp
Plan tier · Enterprise
+11 pp
Company size · 500–2000
+8 pp
Region · North America
+5 pp
Source · Inbound
+4 pp
Onboarding · Guided
+3 pp

Churn AI

Ask your retention data anything.

Churn AI is a conversational analyst trained on your dashboard. Ask it which segment is at risk, what changed last quarter, or what the data thinks you should do. It cites the underlying chart for every answer, so you can verify before you act.

  • ·Natural-language questions over every metric in your dashboard.
  • ·Answers cite the chart and the underlying cohort, not a black box.
  • ·Conversational follow-ups — drill into any answer the way you would with an analyst.
Churn AI · live
Q3 2026 dashboard
Which segment is most at risk this quarter?
Churn AI
Healthcare IT · Enterprise slipped 7pp this quarter — PMF Score from 41% to 34%, the steepest drop in your base. Concentrated in customers signed pre-2024. Onboarding changed in Feb 2024; worth investigating that path.
cited: Retention Factors · Industry × Plan tier
Show me the pre-2024 cohort curve.
Churn AI is reading the cohort table…

Findings & Recommendations

The data wrote you a report.

ChurnRX continuously watches your dashboard for the patterns that matter — bonded fraction slipping, cohort drift widening, a segment quietly compounding — and surfaces each one as a finding with a concrete recommended move. Open the app and the analysis is already done.

  • ·Auto-detected findings refresh every time your data syncs.
  • ·Each finding pairs the diagnosis with a recommended action — not just a metric.
  • ·Color-coded by severity so the highest-leverage moves bubble to the top.
Findings & Recommendations3 active · auto-refreshed
Bonded fraction · −3pp QoQ

Healthcare IT · Enterprise slipped from 41% to 34%.

Audit onboarding flow changed Feb 2024.

Cohort drift · widening

Q3 cohort tracking 8pp below same quarter 2025.

Test whether March pricing change cooled new bonded conversion.

EMEA · +4pp

Bonded fraction up across every plan tier.

Codify the EMEA CS motion. Pilot in NA mid-market.

Share

Take it to your next operating review.

One click turns your dashboard into a board-ready deliverable. PDF for the diligence packet, slides for the QBR. The narrative — PMF Score, trend, the three findings that matter — is already laid out for you.

  • ·Export to PDF (full report) or PowerPoint (slide deck).
  • ·Includes your survival curve, PMF Score, Findings & Recommendations, and benchmark position — pre-narrated.
  • ·Want the deeper methodology read alongside it? The Churn Guide is on Resources.
Q3 2026 · Retention Review
PMF Score: 34%
Annual churn 24% · Half-life 22 mo · Bonded 34%
Slide 1 of 18
ChurnRX
PDF reportPowerPoint (.pptx)1-click export

FAQ

The questions diligence asks.

What data do you need?

Three columns is enough: a customer ID, a start date, and an end date. Any additional attributes you include — plan tier, industry, region, source — become candidate retention factors automatically.

Do we need engineering?

No. Drag-drop a CSV from your billing system, or connect Salesforce or HubSpot over OAuth. No SDK, no instrumentation, no tracking snippet.

How long until we see something?

Minutes. A CSV produces your first survival curve and PMF Score in about two minutes. Connectors run their first sync right after OAuth and stay current automatically.

Is our data safe?

Your uploads live in a private bucket behind row-level security, encrypted in transit and at rest. Benchmark contribution is separate, opt-in, and fully anonymized — you see distributions, never another company's data.

Find out who your product is really for. In two minutes.

Upload a CSV. See your PMF Score, identify your real ICP, and walk out knowing exactly what to do next.

Run your free benchmark