Put a number on the retention worry
At-risk ARR is the recurring revenue tied to customers showing signs they may churn or contract, and quantifying it turns a vague worry into a figure you can act on. Retention risk is easy to feel and hard to manage until it has a number. At-risk ARR provides that: sum the ARR of every account your health signals have flagged, and the abstract concern becomes a concrete dollar amount of exposed revenue. That number is what lets customer success prioritize, lets leadership see the exposure early, and gives the team something specific to manage down.How it is calculated
The basic version is a sum; the refined version is an expectation.
- Basic: total the ARR of all accounts currently flagged as at risk. - Weighted: multiply each at-risk account's ARR by its estimated churn probability, giving an expected-loss figure.
The signals that flag an account are the familiar ones, declining usage, a lost champion, rising escalations, a poor customer health score, and the quality of at-risk ARR depends entirely on the quality of those signals. Garbage flags produce a meaningless number.
Why the dollar figure matters
Tying retention to ARR does three things a general worry cannot. It focuses effort on the accounts carrying the most exposed revenue, so a large at-risk account gets attention ahead of a small one. It gives leadership a forward view of exposure before it lands as lost revenue in gross revenue retention. And it creates a metric to manage: at-risk ARR should be worked down through intervention, and the save rate measures how well the team does it. At-risk ARR is also a direct input to the churn and renewal forecast, since it is precisely the revenue most likely to leave if no one acts. Named and tracked, it turns retention from a reactive scramble at renewal into a managed pipeline of exposure, which is what separates teams that get surprised by churn from teams that see it coming.
Frequently Asked Questions
What is at-risk ARR?
At-risk ARR is the annual recurring revenue attached to customers showing warning signs of churn or contraction, declining usage, a lost champion, support escalations, or a health score in the danger zone. Quantifying it converts a general retention concern into a specific dollar figure, so customer success knows exactly how much revenue is exposed and which accounts to work.
How do you calculate at-risk ARR?
Identify the accounts flagged as at risk by your health signals, then sum the ARR of those accounts. More refined versions weight each account's ARR by its probability of churning, producing an expected-loss figure. Either way, the point is to tie the retention risk to a concrete number that can be prioritized and tracked over time.
Why track at-risk ARR?
Because it makes retention actionable and measurable. A dollar figure focuses customer success on the accounts that matter most, lets leadership see exposure before it becomes lost revenue, and provides a metric to manage down. It also feeds the renewal and churn forecast, since at-risk ARR is the revenue most likely to leave if no one intervenes.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like at-risk arr into prescriptive action for your team.
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