Intervene before accounts churn — catch at-risk signals, run the right save play, and track which interventions actually retain revenue.
Retention PMs and CS teams fighting logo and revenue churn.
Quick answer
The Churn-save playbook template is a ready-made workspace for Retention PMs and CS teams fighting logo and revenue churn.
Churn-save playbook template in short
Included when you apply it
Applying this template creates the 1 board below — with every list — and pre-loads 3 sample issues, all yours to edit. The automation rules further down are suggestions you can wire up next; they aren't created for you yet.
A preview of how this template lays out — the boards, their custom workflow states, and where the sample issues land. WIP caps show a badge.
Churn saves
Usage dropped 60% — schedule a value review
Play: re-onboard the new admin and re-establish the use case.
Champion left the account — find a new sponsor
Downgrade requested — offer a right-sized plan
These rules aren't created when you apply the template — they're recipes you can wire up in Settings → Automations once your board exists.
When
An account enters 'At-risk signal'
Then
Assign the CSM and attach the matching save-play checklist
When
Account moves to 'Saved' or 'Churned'
Then
Record the outcome and the play used for win-rate analysis
Churned is a terminal column, sitting right beside Saved, and keeping it there is the discipline that makes this board worth running. A save pipeline that only records its wins tells you nothing about which interventions work, because the denominator is missing. The first column is the other deliberate choice: the board starts at a signal, not at a cancellation request. By the time a customer asks to cancel, the decision is usually weeks old and the conversation you are having is about the exit, not about the relationship.
Usage decline, champion departure, a support pattern, a missed renewal conversation, a failed integration — each should be specific enough that it implies a response. A generic health score that blends everything into one number tells you an account is at risk without telling you what to do, which reliably produces the same generic check-in email for every situation.
A champion departure calls for finding and onboarding a new sponsor; a usage decline calls for a value review with whoever is still active; a pricing objection calls for a right-sized plan. Attaching the wrong play is worse than attaching none, because it signals to the customer that you have not been paying attention.
The stated reason for leaving is frequently not the operating one — budget is often the polite version of unused, and a missing feature is often the polite version of never onboarded properly. Ask what changed and what they are doing instead. A discount offered against a misdiagnosed cause buys a quarter and loses the account anyway.
Price concessions are fast, easy to approve, and they teach customers that threatening to leave is how you get a better rate. They also do not address a value problem, which is what most churn actually is. Exhaust re-onboarding, use-case expansion and right-sizing first, and record which was used so you can see later what actually retains.
Saved and Churned both need the play used and the underlying cause written down. That is the dataset: which plays work against which signals, and which causes are unwinnable at the save stage and therefore belong upstream in onboarding or in the product. A churn record with no reason is a number, and numbers do not change anything.
This board encodes one opinion about how the work should run. Here is where that opinion is wrong and something else fits better.
Honest comparisons, including where the other tool wins. Planoda is pre-launch, so nothing below is a benchmark — it is a description of how each product approaches this job.
Customer-success platforms compute health scores from product usage, support history and lifecycle stage, and fire playbooks automatically when an account crosses a threshold. Detection is the hard half of retention, and they own it in a way a manually-maintained board cannot approach.
Where Gainsight and Vitally is better: Automated risk detection from real usage data is better than human observation, full stop. It catches accounts earlier and it catches the quiet ones, which are the accounts that churn without ever complaining.
Running saves as a pipeline in the CRM keeps the account's full history — the original deal, every conversation, the renewal date and the contract terms — attached to the intervention. For a team already working in the CRM daily, that context is genuinely valuable and requires no synchronisation.
Where HubSpot and CRM pipelines is better: Having the commercial history on the same record is a real advantage when the save involves pricing, contract terms or the original promises made during the sale. This board holds none of that.
Many retention efforts start as a sheet of at-risk accounts reviewed weekly, and for a small book of business that is a reasonable start. It falls down on the outcome data — the sheet gets overwritten each week, so the record of which plays worked is destroyed as it is created.
Where A spreadsheet is better: A sheet is quicker to stand up and easier to review as a whole list in one meeting, which is how most small CS teams actually work. For a first pass at retention it is a fair choice.
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