Usage analytics and health scoring

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

1. 1

   Trigger

   Daily usage data collection

   Scheduled trigger runs daily to initiate the health scoring process for all active customers. Pulls usage metrics from the previous 24 hours across all customer accounts.

   n8n
2. 2

   Action

   Extract customer usage metrics

   Retrieves feature usage, login frequency, API calls, and user activity data for each customer account. Combines this with subscription and billing information to create comprehensive usage profiles.

   SalesforceStripe
3. 3

   Action

   Calculate health scores

   Processes usage data through algorithms to generate health scores based on feature adoption, engagement trends, and usage compared to similar accounts. Assigns scores from 0-100 for each customer.

   Gainsight
4. 4

   Decision

   Evaluate health score thresholds

   Determines next action based on calculated health score ranges. Routes high-risk customers (score <40) to churn prevention, healthy customers (score >80) to expansion tracking, and moderate customers to monitoring.

   Gainsight
5. 5

   Action

   Create support tickets and alerts

   Generates automated support tickets for at-risk customers and sends alerts to customer success teams. Creates expansion opportunity tasks for high-health score accounts showing growth potential.

   ZendeskSalesforce
6. 6

   Action

   Update churn risk predictions

   Feeds health score data into churn prediction models and updates customer risk levels. Triggers automated email sequences or in-app messaging campaigns based on risk categories.

   ChurnZeroIntercom
7. 7

   Output

   Generate health score dashboard

   Compiles all health scores, risk assessments, and recommended actions into executive dashboards and customer success reports. Updates customer records with latest health metrics and intervention status.

   GainsightSalesforce

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