Prevent customer churn
Protect recurring revenue before risk becomes a crisis.
Pace detects which accounts are drifting, explains why they are at risk, and turns every warning into coordinated action while there is still time to change the outcome.
Portfolio at risk
$1.84MEnterprise · Renewal in 96 days · $240K ARR
Core workflow usage
Down 31%Executive sentiment
ConcernSupport friction
3 unresolvedRecommended next action
Launch executive recovery planRebuild stakeholder coverage and resolve the integration commitment.Illustrative product interface
Make churn measurable, explainable, and actionable.
The challenge
Customer risk is visible in fragments, but rarely visible as a complete story.
Most companies already possess the signals that could reveal churn. Those signals live in different systems, arrive at different times, and depend on people to connect them manually.
Connected risk brief
One account story, ready for a decision.
- 01 Core behavior declined after a team change
- 02 A key champion left the account
- 03 Support friction remains unresolved
The Pace approach
Turn disconnected customer signals into a coordinated retention decision.
Pace continuously builds a living account picture from product behavior, support history, customer conversations, commercial context, relationship changes, and internal commitments.
Detect
Identify new and increasing risk across the entire customer portfolio.
Explain
Show the evidence, likely causes, confidence, and revenue exposure behind the risk.
Prioritize
Rank accounts by urgency, commercial importance, recoverability, and effort.
Act
Recommend a recovery play, assign owners, and prepare the right customer communication.
Maturity
Move from renewal rescue to continuous retention intelligence.
Retention maturity is not measured by the number of dashboards a team owns. It is measured by how early the company can see risk, how confidently it can decide what matters, and how consistently it can respond.
Reactive rescue
Risk is discovered through complaints, escalations, or a difficult renewal conversation.
Visible signals
Teams track health indicators and account changes, but people still interpret them manually.
Predictive prioritization
Risk is ranked and explained using evidence, timing, revenue exposure, and recoverability.
Coordinated retention
Detection, decisions, execution, and learning operate as one governed continuous system.
Capabilities
The intelligence layer behind proactive retention.
Each capability strengthens the same operating loop: understand the account, recognize material change, decide what matters, and move the right people into action.
Customer data connectors
Bring product, CRM, support, conversation, and commercial context into one account picture.
Account 360
Give every team a current view of customer behavior, relationships, commitments, and revenue.
Signal engine
Monitor meaningful changes across the full portfolio without waiting for manual reviews.
Risk intelligence
Explain likely causes, confidence, urgency, and commercial exposure for every risk.
Retention playbooks
Turn the risk story into clear actions, ownership, priorities, and customer communication.
Evidence and governance
Keep recommendations traceable, reviewable, and aligned with your operating rules.
Illustrative scenario
A quiet adoption decline becomes a visible revenue priority.
A strategic account looks stable in the CRM. Underneath, core usage is falling, a champion has left, and unresolved support friction is weakening confidence. None of the signals is decisive alone. Together, they change the retention decision.
The team reacts when the renewal becomes uncertain.
- 01
Signals remain separated across tools and teams.
- 02
The account appears healthy in a monthly review.
- 03
The renewal objection arrives with little room to recover.
The revenue risk is explained while the relationship can still change.
- 01
The account moves into the priority queue with connected evidence.
- 02
The team sees the likely cause, exposure, urgency, and recovery options.
- 03
An executive recovery plan starts before renewal pressure peaks.
Commercial difference
More time to protect the relationship, focus the team, and influence the renewal outcome.Common questions
What teams usually want to know.
01What signals can Pace use to detect churn risk?+
Pace can connect product usage, CRM data, support history, customer conversations, stakeholder changes, commercial terms, open commitments, and other relevant customer signals. The exact model is shaped around the data and retention process your company already has.
02How is this different from a customer health score?+
A health score summarizes an account. Pace also explains what changed, why it matters, which revenue is exposed, how urgent the situation is, and what action is most likely to improve the outcome.
03Can Pace work with our existing systems?+
Yes. The goal is to make your existing customer data commercially useful, not force every team into a new operating system. Pace connects the relevant sources and delivers intelligence into the workflows where your team already works.
04How are AI recommendations governed?+
Recommendations remain connected to their evidence and can follow defined approval rules. Teams decide which actions can be automated, which require review, and which customer communications must always stay under human control.
Request a demo
See which customer risks your current process is missing.
We will map the signals available in your customer data, show where earlier detection could change an outcome, and explore the right combination of platform and implementation support.
✓ Rebuild executive stakeholder coverage
✓ Resolve the integration commitment
✓ Run a focused adoption workshop