May 24, 2026, 05:55 PM
Hello everyone.
Offering a dataset originating from https://www.makepolo.com. It provides a detailed look at the organization's operations, including Contacts, Product Inquiries, Sales Orders. The data is fresh and organized across 3 main sections, useful for research, analysis, or understanding the structure of China's relevant sector.
Dataset Structure & Headers:
The data is organized into interconnected parts for practical use:
1. Contacts
Stores detailed contact and prospective customer information from website inquiries
contact_id, full_name, phone_number, region, password_hash, created_date, notes, email_address, alternate_phone, contact_status, lead_source, industry, account_tier, assigned_sales_rep, last_contacted, preferred_language, marketing_opt_in, record_created_by, record_modified_by, modified_date, created_date, contact_owner_id, time_zone, fax_number, department, job_title, linkedin_profile, annual_revenue, employee_count, customer_priority, crm_external_id, region_code, timezone_offset
2. Product Inquiries
Captures product/service inquiry details including request content and expected timing
inquiry_id, product_type_id, product_name, expected_contact_time, customer_requirements, inquiry_created_date, additional_notes, inquiry_status, assigned_agent, priority_level, response_due_date, follow_up_date, lead_source, channel_origin, customer_contact_id, last_response_date, product_category, region_code, record_created_by, record_modified_by, created_date, modified_date, escalation_flag, resolution_date, crm_external_id, tags, time_zone, service_level_agreement, customer_feedback, attempt_count, language_preference, related_campaign_id, pipeline_stage
3. Sales Orders
Maintains detailed sales order records linked to customer contacts with order specifics and statuses
order_id, product_type_id, order_quantity, contact_phone, shipping_region, order_date, order_status, payment_status, payment_method, shipping_method, shipping_address, billing_address, total_order_value, discount_applied, tax_amount, currency_code, customer_contact_id, sales_rep_id, invoice_number, estimated_delivery_date, actual_delivery_date, return_status, order_notes, record_created_by, record_modified_by, created_date, modified_date, region_code, warehouse_location, shipping_tracking_number, customer_feedback, priority_flag
Sample URLs (snippets of the data): https://gofile.io/d/85cRtY, https://gofile.io/d/9tpVSA, https://gofile.io/d/TMKcZb
Why This Data is Valuable:
· Covers Contacts, Product Inquiries, Sales Orders.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1000
Contact & Transaction:
For inquiries or to purchase, please contact @funternetwork on Telegram or via pm
Secure Transaction:
Forum escrow or trusted middlemen are always accepted to ensure a safe and secure transaction for both parties. We can discuss the most comfortable arrangement.
Offering a dataset originating from https://www.makepolo.com. It provides a detailed look at the organization's operations, including Contacts, Product Inquiries, Sales Orders. The data is fresh and organized across 3 main sections, useful for research, analysis, or understanding the structure of China's relevant sector.
Dataset Structure & Headers:
The data is organized into interconnected parts for practical use:
1. Contacts
Stores detailed contact and prospective customer information from website inquiries
contact_id, full_name, phone_number, region, password_hash, created_date, notes, email_address, alternate_phone, contact_status, lead_source, industry, account_tier, assigned_sales_rep, last_contacted, preferred_language, marketing_opt_in, record_created_by, record_modified_by, modified_date, created_date, contact_owner_id, time_zone, fax_number, department, job_title, linkedin_profile, annual_revenue, employee_count, customer_priority, crm_external_id, region_code, timezone_offset
2. Product Inquiries
Captures product/service inquiry details including request content and expected timing
inquiry_id, product_type_id, product_name, expected_contact_time, customer_requirements, inquiry_created_date, additional_notes, inquiry_status, assigned_agent, priority_level, response_due_date, follow_up_date, lead_source, channel_origin, customer_contact_id, last_response_date, product_category, region_code, record_created_by, record_modified_by, created_date, modified_date, escalation_flag, resolution_date, crm_external_id, tags, time_zone, service_level_agreement, customer_feedback, attempt_count, language_preference, related_campaign_id, pipeline_stage
3. Sales Orders
Maintains detailed sales order records linked to customer contacts with order specifics and statuses
order_id, product_type_id, order_quantity, contact_phone, shipping_region, order_date, order_status, payment_status, payment_method, shipping_method, shipping_address, billing_address, total_order_value, discount_applied, tax_amount, currency_code, customer_contact_id, sales_rep_id, invoice_number, estimated_delivery_date, actual_delivery_date, return_status, order_notes, record_created_by, record_modified_by, created_date, modified_date, region_code, warehouse_location, shipping_tracking_number, customer_feedback, priority_flag
Sample URLs (snippets of the data): https://gofile.io/d/85cRtY, https://gofile.io/d/9tpVSA, https://gofile.io/d/TMKcZb
Why This Data is Valuable:
· Covers Contacts, Product Inquiries, Sales Orders.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1000
Contact & Transaction:
For inquiries or to purchase, please contact @funternetwork on Telegram or via pm
Secure Transaction:
Forum escrow or trusted middlemen are always accepted to ensure a safe and secure transaction for both parties. We can discuss the most comfortable arrangement.
