Understanding the E-commerce Active Signal
The E-commerce Active signal is a specialized tool for audience segmentation and campaign planning. It provides a behavioral indicator that a specific phone number has demonstrated recent e-commerce activity. When integrating this into your CRM, it is vital to maintain clear boundaries regarding what this signal represents:
- Non-Transactional: The signal does not constitute an order history, a receipt, or a record of consumption.
- Non-Predictive: It is not a proxy for purchase intent, specific product interest, or future financial behavior.
- Operational Scope: This signal is strictly for audience prioritization and campaign focus, helping teams identify segments that have shown relevant activity patterns.
Technical Integration via Asynchronous Bulk Workflows
NumDetect operates as an asynchronous bulk processing system, which is ideal for large-scale CRM hygiene and segmentation. Because the service does not perform real-time, single-number lookups, your integration must follow the established task-based lifecycle:
- Preparation: Compile your phone numbers into a TXT or CSV file. Each file must contain between 500 and 500,000 E.164-compliant numbers, with one entry per line.
- Submission: Use the
POST /api/v1/bulk-tasks endpoint to submit your list. Ensure you specify the correct ISO country or region code associated with the dataset.
- Monitoring: Once submitted, use the
GET /api/v1/bulk-tasks/{id} endpoint to track the status of your request. The system will return states such as processing, success, or failed.
- Normalization: Upon completion, the result provides a mapping of the input number and its corresponding signal. This allows you to append the activity status to your CRM records without storing unnecessary transactional metadata.
Data Minimization and Compliance
In accordance with data protection frameworks like GDPR, it is essential to process only the data necessary for your stated campaign objectives. By utilizing the E-commerce Active signal, you can effectively refine your re-engagement lists to focus on active segments. This approach adheres to the principle of data minimization, as you are leveraging a behavioral signal to guide campaign strategy rather than ingesting sensitive or excessive personal data.
Takeaway
Use the E-commerce Active signal as a focused tool for audience segmentation. By treating this data as a behavioral indicator rather than a record of purchase intent or identity, you can build more effective, compliant, and targeted re-engagement workflows. For full technical specifications and constraints, consult the official API documentation.
Understanding the E-commerce Active Signal
The E-commerce Active signal is a specialized tool for audience segmentation and campaign planning. It provides a behavioral indicator that a specific phone number has demonstrated recent e-commerce activity. When integrating this into your CRM, it is vital to maintain clear boundaries regarding what this signal represents:
Technical Integration via Asynchronous Bulk Workflows
NumDetect operates as an asynchronous bulk processing system, which is ideal for large-scale CRM hygiene and segmentation. Because the service does not perform real-time, single-number lookups, your integration must follow the established task-based lifecycle:
POST /api/v1/bulk-tasksendpoint to submit your list. Ensure you specify the correct ISO country or region code associated with the dataset.GET /api/v1/bulk-tasks/{id}endpoint to track the status of your request. The system will return states such asprocessing,success, orfailed.Data Minimization and Compliance
In accordance with data protection frameworks like GDPR, it is essential to process only the data necessary for your stated campaign objectives. By utilizing the E-commerce Active signal, you can effectively refine your re-engagement lists to focus on active segments. This approach adheres to the principle of data minimization, as you are leveraging a behavioral signal to guide campaign strategy rather than ingesting sensitive or excessive personal data.
Takeaway
Use the E-commerce Active signal as a focused tool for audience segmentation. By treating this data as a behavioral indicator rather than a record of purchase intent or identity, you can build more effective, compliant, and targeted re-engagement workflows. For full technical specifications and constraints, consult the official API documentation.