Retention Control Center

Real-time visibility into churn risk, conversations and protected revenue.

●
At-risk customers127+9 vs. last week
Active retention cases3418 require human intervention
Retention rate71%+4.2 pts this month
Protected revenue€184,250Last 30 days

Churn risk distribution

Live
Low
312
Medium
221
High
127
Critical
49

Top churn reasons

Last 30 days
Price / perceived value38%
Service dissatisfaction24%
Competitor offer17%
Low product usage13%
Other8%

Live retention activity

CustomerRiskStatusValueLast signal
Santiago López78% HighAI Understanding948 €/yearCancellation request
Elena García61% MediumHuman negotiation720 €/yearCompetitor mention
Álvaro Martín34% LowOffer presented1,140 €/yearUsage drop
Lucía Fernández82% HighCustomer retained864 €/yearPrice objection

Customer CRM database

Simulated customer records enriched with churn intelligence.

CustomerLocationPlanMonthly feeNPSChurn riskLast interaction
Customer 360

Santiago López

NC-10047 · Madrid · Customer since March 2019

78% High risk

Relationship & Value

PlanPremium Plus
Monthly fee€79
Annual value€948
Customer lifetime value€6,420
NPS4/10
CSAT62%
Complaints (12m)2
Renewal28 days

Top churn signals

Recent price sensitivityTwo service complaintsDecreasing useNearby renewalNegative NPSCompetitor comparison

Customer history

Jul 28NPS response: 4/10
Jul 12Complaint: support resolution delay
Jun 21Use 18% lower than previous quarter
May 03Support contact: billing clarification
Mar 15Premium Plus renewal
☎
Incoming call

Santiago López

Customer ID NC-10047

CRM matchFound
Churn risk78%
Customer valueHigh
Relationship7 years
Live call

Conversation with the customer

● LIVE
Don't Go

Real-time understanding

PlanPremium Plus
Monthly fee€79
Churn probability 78% · High
Declared motive—
Emotional state—
Openness—
Competitor—
Real motive (inferred)

—

Valued services—
Retention opportunity—
Triage notes

—

Don't Go

Analyzing the customer

The Don't Go agent is gathering information. Suggestions for the negotiation will appear here when the triage completes.

Retention cases

34 active
CaseCustomerMotiveStatusRevenue
RET-2026-00847Santiago LópezPrice / perceived valueCustomer retained948 € protected
RET-2026-00846Lucía FernándezCompetitor offerCustomer retained864 € protected
RET-2026-00845David RamosService dissatisfactionHuman negotiation1,020 € at risk
Retention intelligence

From customer data to retained relationship

Don't Go is designed as a decision-support framework, not a static script.

1

KNOW

CRM context, history, value and risk.

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2

UNDERSTAND

Intent, emotion, churn motives and latent needs.

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3

NEGOTIATE

Identify the conditions that can restore the relationship.

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4

CLOSE

Wrestling · This or that · Fait accompli

→
5

LEARN

Record outcomes and improve retention intelligence.

Traditional retention systems know what the customer has. Don't Go understands why the customer wants to leave, what might make them stay, and how to help the agent close the conversation successfully.
Discovery quality94%In retained cases
Negotiation effectiveness91%Methodology adherence
Close execution95%Successful closes

Performance by technique

Wrestling
86%
This or that
81%
Fait accompli
78%

Case impact

Previous revenue€948
Retained revenue€792
Conceded revenue€156
Final churn risk12%
✓
Retention outcome

Customer retained

Santiago López accepted a revised €66/month plan keeping the services he values most.

Previous fee€79
New fee€66
Annual retained revenue€792
Final churn probability12%

Closing techniques used

✓ WrestlingConditional commitment
✓ This or thatControlled choice
✓ Fait accompliFait accompli close

Automatic CRM update

The customer contacted the company requesting cancellation primarily due to price and declining perceived value after recent service issues. Mentioned a competitor offer at €59/month. During the conversation, Premium Assistance and Priority Support were identified as critical services. A conditional stay commitment was obtained and the customer accepted a new €66/month fee keeping both services. Successful retention. Satisfaction follow-up recommended in 30 days.