CRM

Underused Seats Alert with Expansion-or-Save Task

Weekly check of seat utilization in Snowflake against contracted licenses; for accounts paying for far more seats than they use near renewal.

CategoryCRM
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionQuery contracted vs active seats from SnowflakeSnowflakeSnowflake
  • LogicKeep low-utilization accounts within 90 days of renewal
  • LogicLabel as expansion-rescue or downsell-risk
  • ActionNote seat gap on Salesforce opportunitySalesforce
  • OutputOpen CSM task in Asana with next actionAsanaAsana

What it does

This workflow catches the renewal-risk pattern where a customer bought more licenses than they actually use, making them likely to downgrade or churn at renewal. It measures activated-versus-contracted seats and creates an actionable task to either re-engage the unused seats or pre-empt a downsell.

When to use it

Use it for seat-based products where over-provisioning is the leading churn signal. Best when license entitlement and activation data live in Snowflake and renewals are tracked in Salesforce.

How it works

  1. 1A weekly schedule starts the run.
  2. 2Snowflake returns contracted seats versus 30-day active seats per account, plus renewal date.
  3. 3A filter keeps accounts within 90 days of renewal whose utilization is below threshold.
  4. 4A decision step labels each as expansion-rescue or downsell-risk based on usage trend.
  5. 5The seat gap and label are written to the related Salesforce opportunity.
  6. 6An Asana task is created for the CSM with the gap, label, and a suggested next action.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect SalesforceAccounts, opportunities, cases.
  3. 3
    Connect AsanaTasks, projects, milestones — everywhere.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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