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Customers With No Recent Activity (30 Days)

The data model tracks the number of invoices from customers without recent activity in the "Customers With No Recent Activity" view. It includes views such as customers listed by last activity date, those without activity for 30 days, customer activity trend analysis, comparison of active versus inactive customers, and insights into customer churn patterns.

Benefits of This Data Model​

  • Improved Customer Engagement: By tracking the number of invoices from customers without recent activity, the data model helps identify customers who may need targeted engagement strategies to regain their interest.
  • Enhanced Customer Retention: With insights into customer churn patterns, the data model enables businesses to proactively address issues leading to customer attrition and improve retention rates.
  • Optimized Sales Performance: Through comparisons of active versus inactive customers, sales teams can prioritize efforts on engaging with customers showing reduced activity, ultimately boosting sales performance.
  • Data-Driven Decision Making: The analysis of customer activity trends provides valuable data-driven insights for decision-making, enabling more strategic and informed business choices.
  • Efficient Resource Allocation: By categorizing customers based on their last activity date, businesses can allocate resources effectively towards engaging with customers who are at risk of churning, optimizing resource utilization.

Key Performance Indicators (KPIs)​

  • Number Of Invoices: This measure represents the total count of invoices generated by customers who have not engaged in any activity within the last 30 days in the Customers With No Recent Activity data model.

Available Visualizations​

View NameDescription
Customers by Last Activity DateLists customers by the date of their last interaction.
Customers with No Activity (30 Days)Identifies customers who have not engaged in any activity for 30 days.
Customer Activity TrendAnalyzes the trend of customer activity over time.
Active vs. Inactive CustomersCompares active and inactive customers based on recent activity.
Customer Churn AnalysisProvides insights into customer churn trends and patterns.