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Retention Root-Cause Checklist
Post-Sale Consulting
Retention Root-Cause Checklist
1. Customer fit
Whether churning accounts share traits that predict a fit problem, not a service problem.
- Do churned accounts share firmographic or use-case traits absent from your best accounts?
- Is there a documented ICP, and is it actually used to qualify deals before close?
- Are accounts outside the ICP sold anyway, and if so, tracked separately for retention analysis?
2. Sales promises
Whether the sales cycle sets expectations the product and post-sale team can actually meet.
- Do CS and onboarding teams regularly discover commitments made during the sales process that were never documented?
- Is there a structured handoff between sales and post-sale, or does it happen informally over Slack and email?
- Do deal terms or custom commitments get reviewed for post-sale feasibility before signing?
3. Implementation
Whether time-to-first-value is a process constraint, a resourcing constraint, or a product constraint.
- Do you track time-to-first-value by cohort, and has it changed over the last four quarters?
- Is there a standard implementation plan, or does every account start from scratch?
- Are delays concentrated in specific account types, segments, or product areas?
4. Product adoption
Whether usage reflects genuine engagement or shallow activity that predicts future churn.
- Do you distinguish between login activity and use of the features tied to actual value?
- Is there a defined adoption milestone that predicts renewal likelihood?
- Do product and CS share a common definition of what "adopted" means?
5. Support
Whether support issues are noise, or a signal of implementation and product gaps being absorbed elsewhere.
- Are support ticket volume and severity trending in a direction leadership has actually reviewed?
- Do escalation patterns cluster around specific product areas, account types, or lifecycle stages?
- Is support treated as a source of retention signal, or purely a cost center?
6. CS coverage
Whether Customer Success has the coverage model and clarity to do the job being asked of it.
- Is CSM account load modeled against account complexity, or assigned by simple headcount division?
- Do CSMs know, in writing, what they own and don't own across onboarding, support, and renewals?
- Is there a tiered coverage model, or does every account receive the same level of attention regardless of size or risk?
7. Renewal process
Whether renewal ownership, forecasting, and risk identification are systematic.
- Is renewal ownership between sales and CS explicit and consistently followed?
- Is renewal risk identified early enough to act on, or discovered close to the renewal date?
- Does forecasting rely on structured signals, or primarily on CSM confidence?
8. Capacity
Whether the post-sale team's workload matches its actual capacity.
- Has anyone modeled CSM capacity against account count, complexity, and competing priorities in the last year?
- Are CSMs able to do proactive account work, or is their time fully consumed by reactive requests?
- Would adding headcount address a real capacity gap, or add a person to an undefined process?
9. Systems
Whether the data and tools exist to run the post-sale organization with confidence.
- Do CS, sales, product, and support see a consistent view of account health, or do their numbers disagree?
- Is health scoring, if it exists, trusted by the people who use it?
- Would a new platform solve a genuine capability gap, or encode a process problem that isn't fixed yet?
10. Leadership
Whether executive alignment and decision rights support acting on what you find.
- Do executives agree on what the retention problem actually is, or only that one exists?
- Is there a single accountable owner for post-sale outcomes, or is accountability diffuse?
- Is leadership prepared to prioritize - and deprioritize - based on what a rigorous diagnosis finds?
Next step
Want help working through this systematically?
The Post-Sale Operating Blueprint covers this checklist and a great deal more, backed by your own account data and stakeholder interviews.