High-LTV accounts whose order cadence has lapsed beyond their normal pattern. Early-warning churn list.
At a glance
High-LTV B2B customers whose order cadence has lapsed beyond 2x their normal pattern. Early-warning churn list.
| What it counts | Customers with days_since_last_order > 2 × historical_avg_order_interval AND historical 12M revenue > $100K. |
| Currency | Reporting ledger for revenue tier. |
| Time window | 90D cadence baseline. |
| Alert trigger | any high-LTV silent >2x cadence |
| Roles | owner, finance, sales |
Calculation
Calculated automatically from your Oracle ERP Cloud data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
A US Fortune 500 distributor. Snapshot 14 Apr 26.| Customer | Avg cadence | Days since last order | LTV (12M) | Risk |
|---|---|---|---|---|
| Beta Wholesale | 14 days | 42 days | $4,820,000 | High |
| Gamma Retail | 21 days | 64 days | $3,820,000 | High |
| Epsilon Distribution | 30 days | 89 days | $2,420,000 | Critical |
- 3 high-LTV accounts silent. $11M of LTV at risk.
- Sales rep contact required. Identify root cause: competitor, payment dispute, churned product line, or just timing.
- 2x cadence threshold is sensitive enough to catch early without false-flagging seasonal lulls.
- Pair with credit / dispute history to determine if churn is policy-driven.
- Recovery rate in Vortex IQ data: ~60% of flagged accounts retained when contacted within 30 days.
Sibling cards merchants should reference together
| Card | Why pair |
|---|---|
| Top B2B Accounts by Revenue | LTV view. |
| Active Customers | Volume view. |
Reconciling against the vendor’s own dashboard
Where to look: Oracle does not natively compute churn signals; this is a Vortex IQ-derived analytic. Cross-connector reconciliation:| Card | Notes |
|---|---|
| CRM (Salesforce) churn / engagement scores | Should correlate. |