01-04-26, 09:11 PM
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, Marketing Lead Interactions. 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 information and engagement details
contact_id, full_name, phone_number, email_address, referral_source, record_id, created_at, modified_at, created_by, modified_by, contact_status, preferred_language, lead_source, account_tier, region_code, timezone, marketing_opt_in, last_contacted, contact_owner, communication_preference, contact_type, secondary_phone, address_line1, address_line2, city, state_province, postal_code, country, notes, tags, last_updated_by
2. Support Tickets
Customer support tickets and related interactions
ticket_id, contact_id, issue_description, resolution_notes, ticket_created_at, is_deleted, ticket_status, record_id, created_at, modified_at, created_by, modified_by, ticket_priority, ticket_source, assigned_to, department, sla_due_date, category, sub_category, resolution_time, response_time, customer_satisfaction_score, escalation_level, last_updated_by, tags, related_knowledge_article, support_channel, closed_at, feedback_received, ticket_type, product_affected, region_code
3. Marketing Lead Interactions
Tracking inbound marketing leads and their interactions
interaction_id, contact_id, lead_name, lead_phone, lead_email, lead_source_url, interaction_notes, is_archived, interaction_date, record_id, created_at, modified_at, created_by, modified_by, interaction_type, campaign_id, lead_rating, status, follow_up_date, next_action, assigned_marketer, geo_location, device_type, browser_info, ip_address, lead_origin, preferred_contact_time, notes, region_code, lead_category, interaction_channel, source_medium, last_updated_by, tags
Sample URLs (snippets of the data): https://gofile.io/d/sVAuDT, https://gofile.io/d/BisoNW, https://gofile.io/d/kRM4yb
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Marketing Lead Interactions.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1200
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, Marketing Lead Interactions. 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 information and engagement details
contact_id, full_name, phone_number, email_address, referral_source, record_id, created_at, modified_at, created_by, modified_by, contact_status, preferred_language, lead_source, account_tier, region_code, timezone, marketing_opt_in, last_contacted, contact_owner, communication_preference, contact_type, secondary_phone, address_line1, address_line2, city, state_province, postal_code, country, notes, tags, last_updated_by
2. Support Tickets
Customer support tickets and related interactions
ticket_id, contact_id, issue_description, resolution_notes, ticket_created_at, is_deleted, ticket_status, record_id, created_at, modified_at, created_by, modified_by, ticket_priority, ticket_source, assigned_to, department, sla_due_date, category, sub_category, resolution_time, response_time, customer_satisfaction_score, escalation_level, last_updated_by, tags, related_knowledge_article, support_channel, closed_at, feedback_received, ticket_type, product_affected, region_code
3. Marketing Lead Interactions
Tracking inbound marketing leads and their interactions
interaction_id, contact_id, lead_name, lead_phone, lead_email, lead_source_url, interaction_notes, is_archived, interaction_date, record_id, created_at, modified_at, created_by, modified_by, interaction_type, campaign_id, lead_rating, status, follow_up_date, next_action, assigned_marketer, geo_location, device_type, browser_info, ip_address, lead_origin, preferred_contact_time, notes, region_code, lead_category, interaction_channel, source_medium, last_updated_by, tags
Sample URLs (snippets of the data): https://gofile.io/d/sVAuDT, https://gofile.io/d/BisoNW, https://gofile.io/d/kRM4yb
Why This Data is Valuable:
· Covers Contacts, Support Tickets, Marketing Lead Interactions.
· Includes direct contact details, project descriptions, and funding amounts.
Price: $1200
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)