Customers Churned
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).
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 it's calculated
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. How to interpret it
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.
Source
imboard Editorial
Stage relevance
Typically owned by
Related KPIs
Share of customer logos lost during the period — the inverse of logo retention. Numerator is logos that churned during the period; denominator is logos present at period start. Per the KBCM/Sapphire Private SaaS Company Survey definition (treated as the de-facto private-SaaS reporting convention). The board reads this as the simplest churn signal — independent of revenue-weighting. Common pitfall: confusing annualized vs. period-rate (monthly churn × 12 ≠ annualized churn for a compounding base) — be explicit about the time window and annualization method.
Share of customer logos retained from the prior period, counted by logo (not by revenue). Per the SaaS Metrics Standards Board (SMSB) Logo Retention standard: numerator is logos present at both period start and period end; denominator is logos present at period start. New logos acquired during the period are excluded from both. The board reads this as a "stickiness" signal independent of ACV: high logo retention with weak NRR points to flat/contracting expansion; weak logo retention with strong NRR points to high concentration risk. Common pitfall: conflating logo retention with revenue retention — they answer different questions and routinely diverge.
Count of active paying customer logos at the end of the period. "Active" means the customer has a live paid subscription or contract on the reporting date — not trial, not cancelled, not zero-revenue. The board reads this alongside ARR to triangulate whether growth is logo-driven (more customers at similar ACV) or expansion-driven (existing customers paying more). Common pitfall: definitions of "customer" drift over time as the company sells to subsidiaries, parent accounts, or self-serve users — settle the counting unit (parent vs. account vs. seat) and document it in `customer_definition_note` so cross-period comparisons stay honest.
Named at-risk accounts, root-cause analysis of why they're at risk, and the mitigation plan in flight. Pairs with the quantitative `arr_at_risk` and `percent_arr_at_risk` and gives the board the names + the playbook. Common pitfall: listing the at-risk accounts without the diagnosis or the plan — the board reader needs to see what the team is doing about it, not just what the team is worried about. Also: avoid using this surface as a generic "things are bad" venting forum — keep it account-specific and action-specific.
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