09-10-26, 08:30 PM
Greetings,
I have for sale a dataset from https://www.cuf.pt containing Contacts, Samplecollectioninstructions, and Customerunits. Organized across 3 sections, it gives a clear view of Portugal's relevant sector.
Dataset Structure & Headers:
I've arranged the data into 3 datasets:
1. Contacts
Customer contact details and communication information
contact_id, full_name, email_address, phone_number, fax_number, address_line, postal_code, city, customer_code, unit_code, record_id, created_at, created_by, modified_at, modified_by, status, lead_source, preferred_contact_method, language_preference, account_tier, assigned_sales_rep, region_code, time_zone, marketing_opt_in, last_contacted_date, next_followup_date, birthdate, gender, salutation, job_title, department, industry, customer_since, last_order_date, preferred_payment_method, notes
2. Samplecollectioninstructions
Instructions and scheduling details for biological sample collections
id_cliente_unidade, instrucoes_colheita, codpostal_localidade, cod_cliente, cod_unidade
3. Customerunits
Details about different client units/branches related to customers
id_cliente_unidade, cod_cliente, cod_unidade, morada, codpostal, localidade, telefone, fax
Sample URLs (snippets of the data): https://gofile.io/d/tVjSIE
Why This Data Matters:
· Covers Contacts, Samplecollectioninstructions, Customerunits.
· Includes fields such as customer_code, created_by, account_tier.
Price: $1000 [Your Offer]
Contact & Transaction:
Reach out on Telegram (@unload7) or via forum PM.
Secure Transaction:
Escrow or middleman service is welcome for a secure deal. Let's agree on something comfortable.
Enjoy,
I have for sale a dataset from https://www.cuf.pt containing Contacts, Samplecollectioninstructions, and Customerunits. Organized across 3 sections, it gives a clear view of Portugal's relevant sector.
Dataset Structure & Headers:
I've arranged the data into 3 datasets:
1. Contacts
Customer contact details and communication information
contact_id, full_name, email_address, phone_number, fax_number, address_line, postal_code, city, customer_code, unit_code, record_id, created_at, created_by, modified_at, modified_by, status, lead_source, preferred_contact_method, language_preference, account_tier, assigned_sales_rep, region_code, time_zone, marketing_opt_in, last_contacted_date, next_followup_date, birthdate, gender, salutation, job_title, department, industry, customer_since, last_order_date, preferred_payment_method, notes
2. Samplecollectioninstructions
Instructions and scheduling details for biological sample collections
id_cliente_unidade, instrucoes_colheita, codpostal_localidade, cod_cliente, cod_unidade
3. Customerunits
Details about different client units/branches related to customers
id_cliente_unidade, cod_cliente, cod_unidade, morada, codpostal, localidade, telefone, fax
Sample URLs (snippets of the data): https://gofile.io/d/tVjSIE
Why This Data Matters:
· Covers Contacts, Samplecollectioninstructions, Customerunits.
· Includes fields such as customer_code, created_by, account_tier.
Price: $1000 [Your Offer]
Contact & Transaction:
Reach out on Telegram (@unload7) or via forum PM.
Secure Transaction:
Escrow or middleman service is welcome for a secure deal. Let's agree on something comfortable.
Enjoy,
Ban reason: selling in database section | scam (Permanent)
