02-04-26, 11:53 AM
Hello everyone.
Offering a dataset originating from https://www.suzhouyou.com. It provides a detailed look at the organization's operations, including Contacts, Support Tickets, Booking History. 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
Customer contact and lead information
contact_id, phone_number, full_name, email_address, lead_source_url, record_id, created_at, modified_at, created_by, modified_by, account_tier, region_code, lead_status, last_contacted_date, email_opt_in, preferred_language, marketing_segment, contact_owner, source_campaign, timezone, secondary_phone, crm_notes, birth_date, industry, job_title, company_name, address_street, address_city, address_state, address_postalcode, address_country
2. Support Tickets
Customer inquiries and support request records
ticket_id, ticket_description, ticket_resolution, ticket_created_at, is_deleted_flag, record_id, created_at, modified_at, created_by, modified_by, ticket_status, priority_level, assigned_to, customer_id, contact_method, ticket_source, sla_due_date, resolution_date, ticket_category, escalation_level, customer_feedback_score, related_product, ticket_closed_by, last_updated, response_count, internal_notes, region_code, service_level, root_cause, support_channel
3. Booking History
Records of customer service bookings or appointments
booking_id, contact_id, location_id, booking_time, contact_phone, record_id, created_at, modified_at, created_by, modified_by, booking_status, service_type, payment_status, amount_paid, cancellation_reason, booking_channel, staff_assigned, booking_duration_minutes, special_requests, customer_feedback, booking_reminder_sent, reschedule_count, no_show_flag, region_code, time_zone, booking_priority, referral_code, loyalty_points_used, follow_up_required, service_location_address
Sample URLs (snippets of the data): https://gofile.io/d/Ghn3RU, https://gofile.io/d/Av9wow, https://gofile.io/d/Z3sFuM
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Booking History.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1100
Contact & Transaction:
For inquiries or to purchase, please contact @triped1 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.suzhouyou.com. It provides a detailed look at the organization's operations, including Contacts, Support Tickets, Booking History. 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
Customer contact and lead information
contact_id, phone_number, full_name, email_address, lead_source_url, record_id, created_at, modified_at, created_by, modified_by, account_tier, region_code, lead_status, last_contacted_date, email_opt_in, preferred_language, marketing_segment, contact_owner, source_campaign, timezone, secondary_phone, crm_notes, birth_date, industry, job_title, company_name, address_street, address_city, address_state, address_postalcode, address_country
2. Support Tickets
Customer inquiries and support request records
ticket_id, ticket_description, ticket_resolution, ticket_created_at, is_deleted_flag, record_id, created_at, modified_at, created_by, modified_by, ticket_status, priority_level, assigned_to, customer_id, contact_method, ticket_source, sla_due_date, resolution_date, ticket_category, escalation_level, customer_feedback_score, related_product, ticket_closed_by, last_updated, response_count, internal_notes, region_code, service_level, root_cause, support_channel
3. Booking History
Records of customer service bookings or appointments
booking_id, contact_id, location_id, booking_time, contact_phone, record_id, created_at, modified_at, created_by, modified_by, booking_status, service_type, payment_status, amount_paid, cancellation_reason, booking_channel, staff_assigned, booking_duration_minutes, special_requests, customer_feedback, booking_reminder_sent, reschedule_count, no_show_flag, region_code, time_zone, booking_priority, referral_code, loyalty_points_used, follow_up_required, service_location_address
Sample URLs (snippets of the data): https://gofile.io/d/Ghn3RU, https://gofile.io/d/Av9wow, https://gofile.io/d/Z3sFuM
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Booking History.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1100
Contact & Transaction:
For inquiries or to purchase, please contact @triped1 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.
Ban reason: selling in database section (Permanent)