Reduce churn. Refocus your ICP. Grow NRR.

Reduce churn. Refocus your ICP. Grow NRR.

Chassi models the full customer journey from CRM, ERP, and product usage. Predict churn, align ICP to durable segments, and hand Sales a ranked account list. Findings in days with 4 to 8 hours of lift.

Chassi models the full customer journey from CRM, ERP, and product usage. Predict churn, align ICP to durable segments, and hand Sales a ranked account list. Findings in days with 4 to 8 hours of lift.

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Results our clients have seen
Results our clients have seen
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Your revenue is at risk. Do you know why?

Customer data sits in silos, so root causes stay hidden. Your ICP reflects who you closed, not who stayed. GTM often optimizes for acquisition, not durability. The result is misaligned targeting, wasted spend, and preventable attrition.

What trapped value looks like in retention:

Annual uplift clauses missed

Onboarding gaps that predict early churn

Mis-segmented customers driving low adoption

Channels and offers that land bookings but not NRR

Chassi improves NRR by pinpointing customer expansion opportunities, mitigating churn, and prioritizing segments for new logo acquisition. No manual data prep. No system changes.

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How it works

The path from data to action, without systems disruption.

Connect systems of record

Secure, read-only connections to CRM, ERP, billing, and contract systems. No manual data prep, no system changes, no disruption to operations.

Model the customer journey

Chassi maps every customer across churn risk, product adoption, expansion fit, and revenue durability. Each account gets a probability score backed by the signals in your data. ICP is rebuilt from who stayed and grew, not just who converted.

Act with a ranked plan

You get quantified findings, a ranked account list by churn risk and expansion fit, and a plan with named owners and expected NRR impact.

Lift required: 4 to 8 hours from your team. No system disruption.

What lands on your desk

What lands on your desk

Clear findings, ranked actions, owners, and expected impact.

Clear findings, ranked actions, owners, and expected impact.

One source of truth, quantified gaps, and a plan to close them

Multiple churn models, including direct and partner segments

"At-risk" and "Safe" customer logos with reasons

Glass-box model explanations at the customer level

A refined ICP plan by segment, product, and terms

Survival predictions at the account level

A prioritized backlog with owners and a plan to act on

Real-world impact

$700K ARR uncovered. $13.9M ARR protected.

A PE-backed SaaS business used Chassi's Customer Analytics to identify at-risk revenue, prioritize expansion accounts, and refocus GTM on segments with the highest NRR durability.

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"Chassi gives us a level of transparency into top-line performance that was previously inaccessible or painfully tedious to produce."

Ryan Mason

CFO, Trackforce

Proven results. Rapid insights. Minimal disruption.

Objective findings with quantified impact for cash, NRR, and profitable growth.

Actionable intelligence, fast

Findings in days tied to cash and NRR.

Minimal lift

Hours, not weeks. No manual data prep.

Strategic clarity

One operational truth across GTM and Finance that stands up in board meetings and diligence.

Finance-grade trust

Lineage from booked to billed to paid with audit trails.

Common questions

Common questions

We already have a CS platform and health scoring. What does this add?

CS platforms track activity and surface scores. Customer Analytics explains what's driving the score at the signal level, across your full customer journey from CRM, ERP, and product usage. You get a ranked account list with the specific reasons behind each risk or opportunity, not a dashboard that tells you something is red.

Our churn rate is already within an acceptable range. Is this still worth doing?

Acceptable churn often masks segment-level problems. A few cohorts propping up an average that's hiding deterioration elsewhere. Customer Analytics segments by product, channel, and terms, so you see where NRR is actually durable and where it's at risk of moving in the wrong direction.

How is ICP refinement different from what our marketing team already does?

The majority of ICP work is built on who converted. Customer Analytics builds ICP on who converted, stayed, expanded, and produced durable NRR, using the full journey from the data you already have. The output is a segmented ICP with ranked attributes, not a persona doc.

How much of our team's time does this require?

Initial setup requires access provisioning and a brief configuration period. After that, the dashboard updates continuously. No ongoing lift from your team to maintain or rebuild the analysis.

Our data is fragmented across systems. Will that be a problem?

Fragmentation is the starting point, not a blocker. The assessment maps what you have across CRM, ERP, and product usage and surfaces where the gaps are. You receive exception tables and a data fix list as part of the deliverable.

Will this disrupt operations?

No. Read-only connections to systems of record. No system changes, no workflow disruption.

Ready to reduce churn and accelerate durable growth?

Get a clear plan that improves NRR and focuses your ICP.