Revenue risk
See it. Understand it. Act.
Recognize demand changes and customer flight signals early enough to act, and focus retention efforts where revenue is most exposed.
Evidence behind the next move.
Explore 3 reports across industries. Each connects a business exposure to a decision and the evidence behind it.
The answer
Yes. Localising one category moved comps four points in a month; a $0.35M model does it for every category and size and makes the $50M inventory cut land on slow SKUs, not top sellers.
- Anomaly
- Flag the account or segment whose engagement/usage signal has deviated from its own historical baseline, before it shows up in the churn number.
- Benchmark
- Benchmark that account against similar accounts internally, and against sector-wide retention norms externally, to confirm the deviation is real and not seasonal.
- Cause
- Isolate the specific driver — a pricing change, a support-ticket spike, a competitor move — that is causing the deviation, rather than just correlated with it.
The answer
Yes. Seasoned net retention of 90 percent is about $46 million a year leaving before expansion; each point is $4.6 million, and the migration is the highest-risk retention event in the plan.
- Anomaly
- Flag the account or segment whose engagement/usage signal has deviated from its own historical baseline, before it shows up in the churn number.
- Benchmark
- Benchmark that account against similar accounts internally, and against sector-wide retention norms externally, to confirm the deviation is real and not seasonal.
- Cause
- Isolate the specific driver — a pricing change, a support-ticket spike, a competitor move — that is causing the deviation, rather than just correlated with it.
The answer
Yes. $19 billion is leaving with Comerica advisers and flows are below range; at a one percent fee each $100 million retained is $1 million a year, and the risk signals are already on the platform.
- Anomaly
- Flag the account or segment whose engagement/usage signal has deviated from its own historical baseline, before it shows up in the churn number.
- Benchmark
- Benchmark that account against similar accounts internally, and against sector-wide retention norms externally, to confirm the deviation is real and not seasonal.
- Cause
- Isolate the specific driver — a pricing change, a support-ticket spike, a competitor move — that is causing the deviation, rather than just correlated with it.
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Bring us the risk you need to understand. We’ll help define the evidence, the investigation, and a useful first step.