[things]

Howdy,

I have for sale a dataset from https://www.buecher.de containing Customer Contact, Customer Address, and Order History. Organized across 3 sections, it gives a clear view of Germany's relevant sector.

Dataset Structure & Headers:

The dataset is broken down into 3 clear sections:

1. Customer Contact
Core customer contact details for marketing and sales communications
Customer_ID, Full_Name, Email_Address, Phone_Number, Fax_Number, Gender, Username, Password_Hash, Is_Active, Primary_Contact_Person, record_id, created_at, updated_at, created_by, modified_by, lead_source, account_tier, preferred_language, last_login_date, marketing_opt_in, time_zone, customer_segment, region_code, number_of_orders, total_spend, loyalty_level, last_purchase_date, preferred_contact_method, crm_record_status, data_consent_timestamp, customer_since, internal_notes, preferred_store_location, do_not_contact_flag, email_verified

2. Customer Address
Customer address and geographic information for shipping and billing purposes
Customer_ID, Street_Address, City, Postal_Code, Country, address_id, address_type, is_primary_address, created_at, updated_at, created_by, modified_by, geocoding_latitude, geocoding_longitude, address_validated_flag, region_code, delivery_instructions, last_verified_date, address_source, time_zone, shipping_preference, billing_account_id, crm_record_status, internal_notes, language_code, expected_delivery_zone, map_url, location_accuracy_score, county, state_province

3. Order History
Order transaction records capturing purchases and shipment statuses
Customer_ID, order_id, order_date, order_status, shipment_status, payment_status, order_total_amount, currency, number_of_items, shipping_method, billing_address_id, shipping_address_id, created_at, updated_at, created_by, modified_by, sales_channel, discount_code, sales_rep_id, customer_feedback_rating, return_requested_flag, return_processed_flag, loyalty_points_earned, gift_wrap_flag, delivery_estimate_date, actual_delivery_date, order_priority, crm_record_status, internal_notes, invoice_url, related_campaign_id

Sample URLs (snippets of the data): https://gofile.io/d/l5J6ci, https://gofile.io/d/ZJPZAA, https://gofile.io/d/kgwxLh

Reasons This Dataset is Worthwhile:
· Covers Customer Contact, Customer Address, Order History.
· Includes fields such as region_code, customer_segment, total_spend.
Price: $900 [Your Offer]

Contact & Transaction:
Interested? Hit @ienom on Telegram or PM me.

Secure Transaction:
Escrow is fine, or a known middleman – whatever makes you comfortable.