Customers Churned
Count of customer logos that ended their subscription/contract during the period. Includes voluntary cancellations and non-renewals. Some companies separately track downgrade-to-zero as churn — be explicit about whether downgrades that drop ARR to $0 count as churn (typical: yes) vs. material contraction that keeps ARR > 0 (typical: tracked under contraction, not churn). The board reads this as the raw count behind `logo_churn_rate`; the percentage tells you the rate, the absolute count tells you the volume of CS pain. Common pitfall: counting customers that re-activate (sometimes called "boomerang" or resurrection) — settle the rule (typical: count each cancellation event, do not net resurrection). — Customers KPI, I'mBoard-authored (editorial tier).
I'mBoard-authored (editorial tier)
No public third-party standard anchors this KPI yet, so I'mBoard authors and maintains the definition — transparently labeled as editorial tier. See the ontology methodology for the published vs editorial tier system and the back-attribution workstream.
Rogue ID: customers.customers_churned
Type: Number
Domain: Customers
Definition
Count of customer logos that ended their subscription/contract during the period. Includes voluntary cancellations and non-renewals. Some companies separately track downgrade-to-zero as churn — be explicit about whether downgrades that drop ARR to $0 count as churn (typical: yes) vs. material contraction that keeps ARR > 0 (typical: tracked under contraction, not churn). The board reads this as the raw count behind logo_churn_rate; the percentage tells you the rate, the absolute count tells you the volume of CS pain. Common pitfall: counting customers that re-activate (sometimes called "boomerang" or resurrection) — settle the rule (typical: count each cancellation event, do not net resurrection).
Formula
customers_churned = count of customer logos that ended their paid subscription/contract during the period. Voluntary cancellations + non-renewals. Downgrade-to-$0 typically counts; document the rule and hold it constant.Why it matters
The absolute volume read on customer loss. The percentage (logo_churn_rate) tells you the rate; the count tells you the CS team load and the number of post-mortem conversations needed.
How to interpret
No citation-grade absolute benchmark exists — the right comparison is to the company's own trailing periods and to its starting logo count. Pair with logo_churn_rate for proportional context and with churn_risks for the qualitative narrative. A spike with stable rate means the install base grew; a spike with rising rate is a quality signal — both deserve a board comment.
Calculation policy
How an AI agent should compute this KPI from messy company data. Free-text rules consumed at reasoning time — not a deterministic DSL. The most common ways to get this wrong are listed under Common miscomputations.
Inclusion rules
- Count one per customer logo that ended its paid subscription / contract during the period — a period-flow count, not a point-in-time snapshot.
- Include voluntary cancellations and non-renewals.
- Include downgrade-to-$0 as churn (typical convention) — document the rule and hold it constant.
Exclusion rules
- Material contractions that keep ARR > $0 — those are downgrades / contraction, not logo churn.
- Logos that never went live or were refunded — they were never paying customers.
- Re-activations ("boomerang" / resurrection) netted against churn — count each cancellation event; document the resurrection rule.
Required inputs
- Per-logo contract-end / cancellation events within the period.
- The downgrade-to-$0 = churn rule (documented).
- Period boundaries; the same logo unit as
total_customers.
Data-source priority
- Subscription ledger with churn / cancellation events keyed by a stable account ID.
- CRM renewal / opportunity stages as a fallback.
Edge cases
- Attribute to the contract-end / effective-cancellation date, NOT the cancellation-request date.
- Account merger: the absorbed logo is not churn — the relationship continued.
- Downgrade-to-$0 vs. churn: pick one rule and apply it consistently (typical: counts as churn).
- A logo that churned and re-activated in the same period: count the churn event per the documented resurrection rule; disclose if material.
Validation checks
logo_churn_rate = customers_churned ÷ (customers active at period start)— the count and the rate must reconcile.prior_quarter_total_customers + new_customers_added − customers_churned = total_customers.- Non-negative integer; ≤ the starting logo count.
Common miscomputations
- Counting material contractions (ARR still > $0) as churn — corrupts both the churn count and
logo_churn_rate. - Using the cancellation-request date instead of the contract-end date — produces phantom churn in the wrong period.
- Netting re-activations against churn instead of counting each cancellation event.
- Counting never-live / refunded logos as churn — they were never customers.
Related KPIs
customers.logo_churn_ratecustomers.logo_retention_ratecustomers.total_customerscustomers.churn_risks
Source
I'mBoard editorial — authored and maintained by I'mBoard, first published 2026-04-01. No third-party standard is cited for this KPI; when one emerges, the definition is back-attributed and promoted to the published tier (a minor version bump). Read the ontology methodology for the published vs editorial tier system, attribution rules, and dispute process.
Stage relevance
| Company stage | Priority |
|---|---|
| Series A | Recommended |
| Series B | Recommended |
| Series C+ | Recommended |
| Public | Recommended |
Suggested for stages: Series A, Series B, Series C+, Public.
Default owning functions
- Sales
Machine-readable
- This KPI as JSON:
/api/ontology/customers/customers_churned.json - All Customers KPIs:
/api/ontology/customers.json - Full catalog:
/api/ontology/index.json
Customer Segments
Container handle for the field-array of customer segments — each entry carries a segment name, its customer count, and its ARR. Feeds the bespoke customers card's segmentation stack-bars (customer-count + revenue distribution across segments). The "where does the revenue / logo base concentrate" surface (e.g. Enterprise / Mid-Market / SMB). Common pitfall: segment definitions drifting over time, or segment ARR not summing to total ARR because a segment is missing — keep the segmentation exhaustive and the cut stable. — Customers KPI, I'mBoard-authored (editorial tier).
Expansion Opportunities
Identified upsell, cross-sell, and seat-expansion opportunities inside the existing customer base, with deal size and timing where known. This is the qualitative narrative behind the expansion component of NRR — what the CS / Sales team sees in the pipeline that has not yet converted. The board reads this as forward-looking signal on whether NRR will trend up or down next quarter. Common pitfall: confusing "opportunities" (real conversations with named accounts) with "addressable upside" (theoretical TAM uplift) — keep this field anchored in actual pipeline. — Customers KPI, I'mBoard-authored (editorial tier).