Nimbus

Retention becomes a system

Detect risk early. Act with precision.

Nimbus helps Success teams turn scattered signals into proactive workflows - so renewals are predictable, escalations are faster, and customer feedback flows back into Product and GTM.

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How Customer Success Uses Nimbus

Retention becomes a workflow

Detect risk early, route escalations with context, and keep feedback flowing into the org.

Proactive churn detection

Combine usage, sentiment, and account context into early-warning signals with clear root causes.

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Real-time Simulation

Retention Analytics

Detect risk early, prioritize accounts, and prove follow-through

At-Risk Renewals
18

Next 90 days

Churn Risk
-23%

Measured vs baseline

Time-to-Resolution
-38%

With guided follow-through

Expansion Pipeline
$260K

Traceable to decisions

Trend

Risk and renewal dynamics over time.

Drivers

What’s moving the outcome.

Usage Drop
Sentiment
Support Load
Contract Signals

At-Risk Accounts

Prioritized with context and lineage.

Guardhat

Renewal in 21 days • Risk: High

High
$180K ARR

QuantumScape

Expansion intent • Risk: Medium

Medium
$95K ARR

CATL

Support load spike • Risk: Low

Low
$40K ARR

Playbooks + Routing

Recommended actions with governance checks.

Escalate to exec sponsor

Attach decision trace + evidence

Ready
Traceable

Auto-route playbook owner

Based on precedent + policy

Pending
1 gate

Log feedback to Product

Turns learnings into precedent

Queued
Auto
Live

Auto-routed escalations and playbooks

Route risks to the right owners with recommended next actions and governance checks.

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Real-time Simulation
Escalation Routing
Auto-save: 2s ago
Live

Renewal and expansion intelligence

Identify growth opportunities and objections with verified market and product context.

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Real-time Simulation

Renewal Intelligence

Identify growth opportunities and objections with verified context

Renewal Rate
94%
+3%
Expansion ARR
$260K
This quarter
At-Risk Accounts
18
-5
Days to Renewal
45
Next 90 days

Renewal Opportunities

Growth opportunities with verified context

Guardhat

Expansion

$95K ARR
Value

QuantumScape

Renewal

$180K ARR
Value

CATL

Expansion

$40K ARR
Value

Renewal Pipeline

Accounts by renewal status

Low Risk

132 accounts

71%

Medium Risk

34 accounts

18%

High Risk

18 accounts

11%

Supplier Risk Assessment

Real-time risk scoring across key suppliers

Bosch Automotive

Lead Time: 8-12 weeks

Low Risk
Score: 92/100

Continental AG

Lead Time: 12-16 weeks

Medium Risk
Score: 78/100

Specialty Components Ltd

Lead Time: 20-24 weeks

High Risk
Score: 45/100

Procurement Timeline

Critical path analysis for component delivery

Battery Pack Sourcing

Q2 2024 • 16 weeks lead time

On Track

Semiconductor Components

Q3 2024 • 24 weeks lead time

At Risk

Interior Components

Q1 2024 • 8 weeks lead time

Secured
Live

Renewal forecast you can act on

Simulate churn risk, save paths, and expansion motions before QBRs and renewal calls.

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Real-time Simulation

Renewal Forecast Simulation

Simulate churn risk, expansion paths, and next-best actions.

At-Risk ARR
$840K

Next 90 days

Save Rate
71%

Projected

Expansion
+$260K

Projected

Cycle Time
-6d

With routing

Scenarios

Traceable assumptions, measurable outcomes.

Outcome

What changes if you run this play.

Renewal playbook
ETA: 30 days
Modeled impact
-23% churn
Confidence
90%
Key insights
Usage drop is leading signal
Escalate to exec sponsor
Gate exceptions with precedent
Live

Feedback loops into the org

Turn customer learnings into structured inputs for Product, Marketing, and Engineering.

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Real-time Simulation

Feedback Loop Dashboard

Turn customer learnings into structured inputs for Product, Marketing, and Engineering

Feedback Items
54
+12
Themes Extracted
42
This month
Routed to Teams
38
87%
Response Time
<2hrs
Avg

Feedback Routing

Customer learnings structured and routed to the right teams

Feature Request: Smart PPE Integration

Product

Product Team
Routed To

Pricing Objection Pattern

GTM

Marketing Team
Routed To

API Reliability Feedback

Engineering

Engineering Team
Routed To

Feedback Volume

Items by routing destination

Product Team

24 items

44%

GTM Team

18 items

33%

Engineering

12 items

22%

Feedback Themes

Extracted themes from customer feedback

Integration Requests

24 mentions this month

Product
Routed

Pricing Concerns

18 mentions this month

GTM
Routed

Performance Issues

12 mentions this month

Engineering
Routed

Feedback Flow

How feedback moves through the organization

Customer Input

Support tickets, surveys, calls

54 items

Theme Extraction

AI-powered analysis and categorization

42 themes

Team Routing

Product, GTM, Engineering

38 routed
Live

QBR-ready synthesis

Generate customer narratives tied to decisions, outcomes, and next-best actions.

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Real-time Simulation
Customer Success Workflow
Auto-save: 2s ago
Live

Why it works

One view across signals and precedent

Unify usage, sentiment, and context - then automate follow-through with agents.

1

Unified Intelligence Layer

One view across support signals, product usage, and external market context.

-23%
Churn reduction
<1hr
Risk detection
Active Process
3:26:03 PM
Context & PromptingComplete
Dual Analysis CoreProcessing
Signal SynthesisQueued
-23%
Churn reduction
<1hr
Risk detection
2

Agents for Follow-Through

Automate summaries, routing, stakeholder updates, and CRM hygiene at scale.

Active Process
3:26:03 PM
Context & PromptingComplete
Dual Analysis CoreProcessing
Signal SynthesisQueued
Active
Status
Real-time
Updates
3

Searchable Precedent

Ask how you handled a case last time and reuse the proven workflow.

Active Process
3:26:03 PM
Context & PromptingComplete
Dual Analysis CoreProcessing
Signal SynthesisQueued
Active
Status
Real-time
Updates

Impact

Outcomes Success can measure

Lower churn

Address risk earlier with clearer context and faster coordination.

Faster time-to-resolution

Route escalations with playbooks and governance to shrink cycle time.

More expansion

Surface and activate growth opportunities with shared intelligence.

Better product feedback

Turn qualitative signals into structured, actionable inputs.

Ready to make retention predictable?