Smart Automation - Analytics

Smart automation analytics provides valuable insights into the performance and effectiveness of your automated workflows. By analyzing these metrics, businesses can assess the impact of their automations, optimize their strategies, and make data-driven decisions.

Watch the video to understand the different metrics of a smart automation:

Key Metrics and Features:

1. Revenue Metrics:
• Total Revenue Generated: Tracks the total revenue earned from the automation. This helps measure the financial impact and ROI of the automated campaigns.
• Total Orders Placed: Shows the number of orders that resulted from the automation, indicating its effectiveness in driving sales.
2. Return on Ad Spend (ROAS):
• ROAS: Measures the revenue generated for every unit of currency spent on advertising. This metric helps evaluate the cost-effectiveness of your ad campaigns in driving automation-driven sales.
3. Conversions:
• Conversions: Indicates the number of successful actions or transactions that resulted from the automation. This metric helps gauge the overall effectiveness of the automation in achieving its goals.
4. Automation Actions:
• Total Customers Met Conditions: Displays the number of customers who met the criteria set in the automation. This helps assess the reach and relevance of the automation.
• Total Messages Sent, Read, and Failed: Provides data on the total number of messages dispatched, those read by recipients, and any failed delivery attempts. This helps identify issues with message delivery and engagement.
5. Message Logs:
• Logs of Sent Messages: Offers a detailed record of all messages sent through the automation, including timestamps and statuses. This helps track communication history and troubleshoot issues.
6. Filtering Options:
• Time Range and Order Status Filters: Allows you to filter analytics data based on different time periods and order statuses, providing a more granular view of performance and trends.
7. Download Options:
• Export to Excel: Enables you to download the analytics data in an Excel file for offline analysis and reporting. This is useful for detailed analysis and record-keeping.
8. Queued Messages:
• Details of Customers and ETA: Shows customers who met the automation conditions but have not yet received the message. This includes message logs and estimated time of delivery (ETA). This helps manage and monitor pending actions.

In This Article

• Watch the video to understand the different metrics of a smart automation:
• Key Metrics and Features:
• I have configured a webhook automation but there are no analytics available.
• Can Smart Automation help re-target customers?

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