[Databroker1]

Hey folks,

I'm sharing a database from https://www.sapo.pt that includes Contact, Support Tickets, and Newsletter Subscribers. It is structured into 3 parts and offers insight into Portugal's relevant sector.

Dataset Structure & Headers:

It is structured in 3 logical blocks:

1. Contact
Primary contact information for newsletter subscribers and customers
company_id,contact_name,nif,country,work_email,industry,lead_source,tier,assigned_rep,annual_revenue_eur,employee_count,company_name,linkedin_url,phone_number,created_at

1. Support Tickets
ticket_id,crm_company_id,user_id,contact_email,agent_name,ticket_status,resolution_outcome,priority,category,description,created_at,resolved_at,first_response_min,resolution_time_hours,csat_score,satisfaction_feedback

1. Newsletter Subscribers
Newsletter subscription preferences and engagement metrics
user_id,crm_company_id,full_name,primary_email,account_status,portal_vertical,traffic_source,is_premium,monthly_spend_eur,engagement_score,plan_type,locale,created_at,last_login
Sample URLs (snippets of the data):https://pastes.io/UtCxdCw9, https://pastes.io/9pdxmKzx, https://pastes.io/Dq9XFAiC

Data Value:
· Covers Contact, Support Tickets, Newsletter Subscribers.
· Includes fields such as Annual_Revenue_Estimate, LinkedIn_Profile, Country.
Contact & Transaction:
Message @dfbdata on Telegram, DM for transactions or via session :
0553ccc38730bd97ed3f05dddb34c-c192b33a0392ad0c9cd319921351e6b
9ebc10.

Secure Transaction:
I'm happy to use forum escrow or a trusted middleman. We'll find a safe arrangement that works for everyone.

[Databroker1]

Bump bump