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Most revenue erosion is visible weeks before it hits the loss column. A Revenue-at-Risk Detection Playbook reads engagement, competitive, and support signals across the book of business to surface the accounts and the dollars at risk, with time to act before the revenue is lost.
The Challenge
Engagement decline lives in product analytics. Competitive pressure surfaces in CRM notes. Support escalations sit in the helpdesk. Without a joined view, no one sees that an account is showing all three signs at once until the renewal conversation goes sideways.
A book-level dashboard reports overall health. Inside that average sit accounts that have moved from healthy to elevated risk in the past 60 days. The aggregate smooths over the shift and the team only notices when a specific account triggers an escalation.
When risk gets reported at all, it usually appears as a count of at-risk accounts. The dollar exposure (ARR at risk, contraction risk, expansion at risk) rarely gets attached. Leadership cannot prioritize attention against impact when the number is just a count.
How eyko Solves It
A Revenue-at-Risk Detection Playbook reads engagement signals (usage, support, marketing), competitive context (mentions, win-loss patterns), account events (sponsor changes, contract changes), and historical patterns to flag the accounts where revenue is materially at risk. It sizes the exposure per account, attributes the risk to specific drivers, and ranks the cohort by ARR-weighted urgency so customer success and revenue teams act on impact.
The Playbook scanned 4,200 active customers and flagged 184 accounts with materially elevated revenue risk, representing $5.4M in ARR. 38 are in the top-decile concentration ($3.2M alone). Risk drivers split: 64 engagement-led (sustained usage decline), 48 support-led (escalation spike), 42 competitive-led (sponsor exposure to a competitor), 30 mixed.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Revenue-at-Risk Detection scans the book of business for accounts showing materially elevated revenue risk and sizes the exposure per account. The Playbook reads engagement, support, competitive, and account-event signals, ranks the at-risk cohort by ARR-weighted urgency, and surfaces the concentration in the top decile so customer success and revenue leadership see where the largest dollars sit at risk rather than working from a flat at-risk account count.
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FAQ
Everything you need to know about Revenue-at-Risk Map.
Revenue-at-Risk Detection is an AI-driven scan of the book of business that flags accounts showing materially elevated revenue risk and sizes the exposure per account. The Playbook reads engagement, support, competitive, and account-event signals, ranks the at-risk cohort by ARR-weighted urgency, and surfaces the concentration in the top decile so customer success and revenue leadership see where the largest dollars sit at risk.
The Playbook reads from your CRM (account context, sponsor changes, contract events, opportunity activity), product analytics (usage trajectory, feature adoption), support tool (escalations, ticket cadence, sentiment), customer success platform (CSM activity, health score history), and marketing automation (competitive content interactions) for cross-reference. At least 18 months of paired risk-signal-to-outcome data anchors the detection in actual loss patterns.
Churn prediction estimates probability of full account loss. Revenue-at-Risk Detection covers the broader risk surface including contraction, downgrade, and expansion-at-risk in addition to churn. It also sizes the exposure in ARR rather than producing a flat at-risk count, so leadership can prioritize attention against dollar impact rather than account volume.
Yes. For each flagged account the Playbook attributes the risk to its dominant driver (engagement, support, competitive, mixed) and recommends a driver-matched motion: usage-recovery on engagement-led accounts, service-recovery on support-led accounts, competitive proof points on competitive-led accounts, and executive-sponsored coordinated motions on the top-decile concentration. Each recommendation projects expected retained ARR.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
