text stringlengths 224 792 | label stringclasses 4
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{'transaction_id': 'c37497b2-45c1-46ce-b667-a98d3314db76', 'refund_rate_30d': 0.95, 'accounts_per_ip': 5, 'failed_payments': 2, 'coupons_used': 3, 'account_age_days': 12, 'avg_shipment_delay_days': 6.5, 'failed_payment_attempts': 15, 'device_changes_per_week': 5.1, 'address_changes_per_week': 5, 'giftcard_purchase_rati... | Unknown | null |
{'transaction_id': 'bcc51111-3717-4b4e-b9cb-9be5f6fef58d', 'refund_rate_30d': 0.77, 'accounts_per_ip': 3, 'failed_payments': 2, 'coupons_used': 9, 'account_age_days': 3, 'avg_shipment_delay_days': 5.7, 'failed_payment_attempts': 6, 'device_changes_per_week': 5.6, 'address_changes_per_week': 12, 'giftcard_purchase_ratio... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': '6a1b3d5b-1115-4eaa-8a01-326f325a76e5', 'refund_rate_30d': 0.91, 'accounts_per_ip': 5, 'failed_payments': 1, 'coupons_used': 6, 'account_age_days': 63, 'avg_shipment_delay_days': 1.8, 'failed_payment_attempts': 14, 'device_changes_per_week': 2.7, 'address_changes_per_week': 5, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': 'cf57e90d-4210-4c6e-902d-2f48841c13d0', 'refund_rate_30d': 0.54, 'accounts_per_ip': 4, 'failed_payments': 3, 'coupons_used': 6, 'account_age_days': 326, 'avg_shipment_delay_days': 7.4, 'failed_payment_attempts': 7, 'device_changes_per_week': 5.1, 'address_changes_per_week': 5, 'giftcard_purchase_rati... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '1c2b1ebe-f0c4-4d5b-ab03-d61096732980', 'refund_rate_30d': 0.94, 'accounts_per_ip': 4, 'failed_payments': 3, 'coupons_used': 10, 'account_age_days': 145, 'avg_shipment_delay_days': 6.6, 'failed_payment_attempts': 0, 'device_changes_per_week': 2.8, 'address_changes_per_week': 2, 'giftcard_purchase_rat... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 60% in the last 30 days. They have used 9 coupons recently. There are 4 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 5.3 days. The user changed devices 3.9 times in the last week. Shipping addresses were updated 8 times in the l... | Unknown | null |
{'transaction_id': '2f8e3a46-52c4-4ea4-ade6-85400a2b8551', 'refund_rate_30d': 0.82, 'accounts_per_ip': 3, 'failed_payments': 3, 'coupons_used': 5, 'account_age_days': 206, 'avg_shipment_delay_days': 5.8, 'failed_payment_attempts': 5, 'device_changes_per_week': 0.9, 'address_changes_per_week': 4, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '84396537-d9e7-43ac-ac8a-9a3a3bc28e82', 'refund_rate_30d': 0.17, 'accounts_per_ip': 5, 'failed_payments': 3, 'coupons_used': 3, 'account_age_days': 200, 'avg_shipment_delay_days': 7.1, 'failed_payment_attempts': 13, 'device_changes_per_week': 3.2, 'address_changes_per_week': 12, 'giftcard_purchase_ra... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': 'b138462a-eaa3-47f1-973b-4d103bb7c34c', 'refund_rate_30d': 0.73, 'accounts_per_ip': 5, 'failed_payments': 1, 'coupons_used': 9, 'account_age_days': 305, 'avg_shipment_delay_days': 7.1, 'failed_payment_attempts': 10, 'device_changes_per_week': 4.8, 'address_changes_per_week': 12, 'giftcard_purchase_ra... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 33% in the last 30 days. They have used 0 coupons recently. There are 3 accounts associated with this IP. Average shipment delay is 6.6 days. Shipping addresses were updated 1 times in the last week. The user level is S4. The user levels are categorized from S1 to S6, following a bell-curv... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 21% in the last 30 days. They have used 0 coupons recently. There are 1 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 5.4 days. The user changed devices 3.1 times in the last week. Shipping addresses were updated 11 times in the ... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 68% in the last 30 days. They have used 10 coupons recently. There are 4 accounts associated with this IP. The transaction has 1 failed payment attempts. Average shipment delay is 2.9 days. The user changed devices 5.5 times in the last week. Shipping addresses were updated 1 times in the ... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '3c8dc336-581b-43b6-858f-0e221fd80117', 'refund_rate_30d': 0.74, 'accounts_per_ip': 2, 'failed_payments': 1, 'coupons_used': 5, 'account_age_days': 74, 'avg_shipment_delay_days': 9.6, 'failed_payment_attempts': 15, 'device_changes_per_week': 3.2, 'address_changes_per_week': 8, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 87% in the last 30 days. They have used 9 coupons recently. There are 1 accounts associated with this IP. Average shipment delay is 0.2 days. The user changed devices 3.8 times in the last week. Shipping addresses were updated 3 times in the last week. The user level is S2. The user levels... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '5a2dc3f5-0791-43cb-af35-91638baf920c', 'refund_rate_30d': 0.98, 'accounts_per_ip': 1, 'failed_payments': 3, 'coupons_used': 3, 'account_age_days': 2, 'avg_shipment_delay_days': 1.3, 'failed_payment_attempts': 5, 'device_changes_per_week': 5.8, 'address_changes_per_week': 6, 'giftcard_purchase_ratio'... | Unknown | null |
{'transaction_id': '24511545-851b-4987-a7ff-544cb67d70d9', 'refund_rate_30d': 0.73, 'accounts_per_ip': 0, 'failed_payments': 1, 'coupons_used': 7, 'account_age_days': 271, 'avg_shipment_delay_days': 1.4, 'failed_payment_attempts': 11, 'device_changes_per_week': 1.0, 'address_changes_per_week': 7, 'giftcard_purchase_rat... | Unknown | null |
The user has a refund rate of 3% in the last 30 days. They have used 4 coupons recently. There are 3 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 4.5 days. The user changed devices 4.3 times in the last week. Shipping addresses were updated 10 times in the l... | Unknown | null |
The user has a refund rate of 81% in the last 30 days. They have used 5 coupons recently. There are 2 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 6.8 days. The user changed devices 1.0 times in the last week. Shipping addresses were updated 4 times in the l... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': 'f0e362ec-79ad-4334-bf83-fd284071976d', 'refund_rate_30d': 0.26, 'accounts_per_ip': 5, 'failed_payments': 3, 'coupons_used': 1, 'account_age_days': 216, 'avg_shipment_delay_days': 8.2, 'failed_payment_attempts': 1, 'device_changes_per_week': 3.9, 'address_changes_per_week': 12, 'giftcard_purchase_rat... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '3c69c5b5-dc37-4be1-be14-35a3ca535901', 'refund_rate_30d': 0.4, 'accounts_per_ip': 4, 'failed_payments': 0, 'coupons_used': 6, 'account_age_days': 21, 'avg_shipment_delay_days': 5.1, 'failed_payment_attempts': 12, 'device_changes_per_week': 4.0, 'address_changes_per_week': 9, 'giftcard_purchase_ratio... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 52% in the last 30 days. They have used 7 coupons recently. There are 5 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 8.4 days. The user changed devices 1.9 times in the last week. The user level is S4. The user levels are catego... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '829dc792-30bd-47b9-a42c-68ccd9aa46e5', 'refund_rate_30d': 0.95, 'accounts_per_ip': 2, 'failed_payments': 2, 'coupons_used': 8, 'account_age_days': 62, 'avg_shipment_delay_days': 3.1, 'failed_payment_attempts': 14, 'device_changes_per_week': 3.7, 'address_changes_per_week': 11, 'giftcard_purchase_rat... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 99% in the last 30 days. They have used 6 coupons recently. There are 0 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 1.5 days. The user changed devices 1.0 times in the last week. Shipping addresses were updated 5 times in the l... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 68% in the last 30 days. They have used 5 coupons recently. There are 5 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 5.4 days. The user changed devices 0.9 times in the last week. Shipping addresses were updated 3 times in the l... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 84% in the last 30 days. They have used 1 coupons recently. There are 3 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 6.2 days. The user changed devices 3.9 times in the last week. Shipping addresses were updated 6 times in the l... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 94% in the last 30 days. They have used 5 coupons recently. There are 5 accounts associated with this IP. Average shipment delay is 9.9 days. The user changed devices 1.4 times in the last week. Shipping addresses were updated 3 times in the last week. They logged in 8 times in the last 7 ... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 98% in the last 30 days. They have used 10 coupons recently. There are 3 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 4.4 days. The user changed devices 1.8 times in the last week. Shipping addresses were updated 11 times in the... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': '9b8fe982-f71d-492a-af86-646c54d37173', 'refund_rate_30d': 0.36, 'accounts_per_ip': 5, 'failed_payments': 3, 'coupons_used': 0, 'account_age_days': 19, 'avg_shipment_delay_days': 3.2, 'failed_payment_attempts': 10, 'device_changes_per_week': 4.4, 'address_changes_per_week': 4, 'giftcard_purchase_rati... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 66% in the last 30 days. They have used 7 coupons recently. There are 2 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 2.1 days. The user changed devices 0.1 times in the last week. Shipping addresses were updated 10 times in the ... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '5e716f42-9f52-4a4a-b8c9-280480cd4825', 'refund_rate_30d': 0.31, 'accounts_per_ip': 3, 'failed_payments': 3, 'coupons_used': 1, 'account_age_days': 19, 'avg_shipment_delay_days': 6.4, 'failed_payment_attempts': 11, 'device_changes_per_week': 5.0, 'address_changes_per_week': 0, 'giftcard_purchase_rati... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'b3fd6d96-0407-4241-b6ab-9afa6ef109cd', 'refund_rate_30d': 0.66, 'accounts_per_ip': 1, 'failed_payments': 0, 'coupons_used': 7, 'account_age_days': 311, 'avg_shipment_delay_days': 3.9, 'failed_payment_attempts': 15, 'device_changes_per_week': 4.7, 'address_changes_per_week': 7, 'giftcard_purchase_rat... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '3f3e76ac-c8b1-4117-9ce6-cf17de505e5a', 'refund_rate_30d': 0.5, 'accounts_per_ip': 4, 'failed_payments': 0, 'coupons_used': 3, 'account_age_days': 18, 'avg_shipment_delay_days': 9.1, 'failed_payment_attempts': 2, 'device_changes_per_week': 2.8, 'address_changes_per_week': 7, 'giftcard_purchase_ratio'... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'e464de38-454f-4258-862f-890f59e50e29', 'refund_rate_30d': 0.83, 'accounts_per_ip': 0, 'failed_payments': 2, 'coupons_used': 10, 'account_age_days': 193, 'avg_shipment_delay_days': 7.4, 'failed_payment_attempts': 10, 'device_changes_per_week': 2.8, 'address_changes_per_week': 8, 'giftcard_purchase_ra... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 73% in the last 30 days. They have used 7 coupons recently. There are 4 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 3.7 days. The user changed devices 2.8 times in the last week. Shipping addresses were updated 8 times in the l... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 94% in the last 30 days. They have used 10 coupons recently. There are 0 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 6.6 days. The user changed devices 3.8 times in the last week. Shipping addresses were updated 6 times in the ... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': 'fe603355-818e-4a94-8ce7-7c368600fc63', 'refund_rate_30d': 0.83, 'accounts_per_ip': 2, 'failed_payments': 3, 'coupons_used': 9, 'account_age_days': 171, 'avg_shipment_delay_days': 8.1, 'failed_payment_attempts': 9, 'device_changes_per_week': 2.9, 'address_changes_per_week': 12, 'giftcard_purchase_rat... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '3f92104d-9cb4-45ae-b81c-453a332de918', 'refund_rate_30d': 0.94, 'accounts_per_ip': 3, 'failed_payments': 3, 'coupons_used': 7, 'account_age_days': 28, 'avg_shipment_delay_days': 5.4, 'failed_payment_attempts': 4, 'device_changes_per_week': 2.9, 'address_changes_per_week': 7, 'giftcard_purchase_ratio... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '23c6ee0c-e532-4142-a64d-711e75035067', 'refund_rate_30d': 0.96, 'accounts_per_ip': 4, 'failed_payments': 1, 'coupons_used': 10, 'account_age_days': 3, 'avg_shipment_delay_days': 4.9, 'failed_payment_attempts': 2, 'device_changes_per_week': 2.7, 'address_changes_per_week': 4, 'giftcard_purchase_ratio... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'ac99dc1d-7fb8-4268-af22-974a11623582', 'refund_rate_30d': 0.8, 'accounts_per_ip': 1, 'failed_payments': 3, 'coupons_used': 8, 'account_age_days': 118, 'avg_shipment_delay_days': 7.9, 'failed_payment_attempts': 10, 'device_changes_per_week': 3.9, 'address_changes_per_week': 1, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': 'a59ddf2e-3704-40df-aa86-88581fa80370', 'refund_rate_30d': 0.62, 'accounts_per_ip': 3, 'failed_payments': 0, 'coupons_used': 5, 'account_age_days': 209, 'avg_shipment_delay_days': 8.1, 'failed_payment_attempts': 8, 'device_changes_per_week': 1.9, 'address_changes_per_week': 5, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 60% in the last 30 days. They have used 5 coupons recently. There are 0 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 7.6 days. The user changed devices 1.1 times in the last week. Shipping addresses were updated 1 times in the l... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 85% in the last 30 days. They have used 5 coupons recently. There are 0 accounts associated with this IP. Average shipment delay is 9.4 days. The user changed devices 1.9 times in the last week. They logged in 4 times in the last 7 days. Average session duration is 85.2 minutes. They viewe... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': 'e36cd7e3-5647-4071-8426-ebba68f07f1c', 'refund_rate_30d': 0.75, 'accounts_per_ip': 0, 'failed_payments': 3, 'coupons_used': 1, 'account_age_days': 192, 'avg_shipment_delay_days': 7.5, 'failed_payment_attempts': 15, 'device_changes_per_week': 5.5, 'address_changes_per_week': 1, 'giftcard_purchase_rat... | Unknown | null |
{'transaction_id': 'cd354ba3-59d2-4ccd-b3ae-ff42f6fc7aaa', 'refund_rate_30d': 0.81, 'accounts_per_ip': 1, 'failed_payments': 2, 'coupons_used': 6, 'account_age_days': 169, 'avg_shipment_delay_days': 9.8, 'failed_payment_attempts': 4, 'device_changes_per_week': 4.4, 'address_changes_per_week': 9, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': 'cf4d4529-514c-418b-a371-53c49547d568', 'refund_rate_30d': 0.13, 'accounts_per_ip': 3, 'failed_payments': 0, 'coupons_used': 0, 'account_age_days': 18, 'avg_shipment_delay_days': 1.6, 'failed_payment_attempts': 7, 'device_changes_per_week': 1.1, 'address_changes_per_week': 2, 'giftcard_purchase_ratio... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'ef75576c-7df5-47c7-a11c-e18d17e2e72e', 'refund_rate_30d': 0.34, 'accounts_per_ip': 3, 'failed_payments': 0, 'coupons_used': 2, 'account_age_days': 16, 'avg_shipment_delay_days': 9.0, 'failed_payment_attempts': 5, 'device_changes_per_week': 5.4, 'address_changes_per_week': 9, 'giftcard_purchase_ratio... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'b1241056-b776-49f1-97f8-71774ce69b1d', 'refund_rate_30d': 0.64, 'accounts_per_ip': 5, 'failed_payments': 2, 'coupons_used': 9, 'account_age_days': 251, 'avg_shipment_delay_days': 8.6, 'failed_payment_attempts': 11, 'device_changes_per_week': 2.9, 'address_changes_per_week': 4, 'giftcard_purchase_rat... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 60% in the last 30 days. They have used 10 coupons recently. There are 4 accounts associated with this IP. The transaction has 1 failed payment attempts. Average shipment delay is 2.6 days. The user changed devices 4.1 times in the last week. Shipping addresses were updated 3 times in the ... | Unknown | null |
{'transaction_id': '85cee9ad-5ca3-496f-8118-81f0df58d5c1', 'refund_rate_30d': 0.91, 'accounts_per_ip': 1, 'failed_payments': 2, 'coupons_used': 9, 'account_age_days': 173, 'avg_shipment_delay_days': 2.6, 'failed_payment_attempts': 14, 'device_changes_per_week': 5.8, 'address_changes_per_week': 2, 'giftcard_purchase_rat... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 91% in the last 30 days. They have used 9 coupons recently. There are 5 accounts associated with this IP. Average shipment delay is 6.9 days. The user changed devices 4.7 times in the last week. Shipping addresses were updated 1 times in the last week. They logged in 13 times in the last 7... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '11c8e273-3644-4cd4-8555-07430ec394dc', 'refund_rate_30d': 0.36, 'accounts_per_ip': 0, 'failed_payments': 2, 'coupons_used': 8, 'account_age_days': 91, 'avg_shipment_delay_days': 6.4, 'failed_payment_attempts': 9, 'device_changes_per_week': 5.2, 'address_changes_per_week': 1, 'giftcard_purchase_ratio... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '454b6f3e-0d28-475a-b5bd-b70fc88dda79', 'refund_rate_30d': 0.53, 'accounts_per_ip': 3, 'failed_payments': 0, 'coupons_used': 4, 'account_age_days': 22, 'avg_shipment_delay_days': 2.7, 'failed_payment_attempts': 5, 'device_changes_per_week': 4.5, 'address_changes_per_week': 8, 'giftcard_purchase_ratio... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'cb82af68-d9b1-47d4-a548-a72dfa09b0cb', 'refund_rate_30d': 0.21, 'accounts_per_ip': 0, 'failed_payments': 3, 'coupons_used': 3, 'account_age_days': 342, 'avg_shipment_delay_days': 7.3, 'failed_payment_attempts': 1, 'device_changes_per_week': 3.3, 'address_changes_per_week': 12, 'giftcard_purchase_rat... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': 'cbdb3bfa-4365-47ff-8bb3-fc0ec29a817e', 'refund_rate_30d': 0.88, 'accounts_per_ip': 4, 'failed_payments': 0, 'coupons_used': 0, 'account_age_days': 339, 'avg_shipment_delay_days': 4.1, 'failed_payment_attempts': 6, 'device_changes_per_week': 0.9, 'address_changes_per_week': 8, 'giftcard_purchase_rati... | Unknown | null |
The user has a refund rate of 60% in the last 30 days. They have used 1 coupons recently. There are 4 accounts associated with this IP. The transaction has 1 failed payment attempts. Average shipment delay is 6.4 days. The user changed devices 0.1 times in the last week. The user level is S4. The user levels are catego... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'bb8c87ed-cb84-4b41-8eea-373a7fb810d3', 'refund_rate_30d': 0.85, 'accounts_per_ip': 5, 'failed_payments': 3, 'coupons_used': 10, 'account_age_days': 198, 'avg_shipment_delay_days': 7.3, 'failed_payment_attempts': 6, 'device_changes_per_week': 2.0, 'address_changes_per_week': 9, 'giftcard_purchase_rat... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 55% in the last 30 days. They have used 5 coupons recently. There are 4 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 2.6 days. The user changed devices 3.7 times in the last week. Shipping addresses were updated 5 times in the l... | Unknown | null |
The user has a refund rate of 90% in the last 30 days. They have used 3 coupons recently. There are 3 accounts associated with this IP. Average shipment delay is 1.7 days. The user changed devices 0.6 times in the last week. Shipping addresses were updated 8 times in the last week. There are 9 items in the cart. | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 74% in the last 30 days. They have used 9 coupons recently. There are 2 accounts associated with this IP. The transaction has 1 failed payment attempts. Average shipment delay is 8.4 days. The user changed devices 5.4 times in the last week. Shipping addresses were updated 6 times in the l... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 36% in the last 30 days. They have used 4 coupons recently. There are 5 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 9.2 days. The user changed devices 3.7 times in the last week. Shipping addresses were updated 3 times in the l... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 92% in the last 30 days. They have used 10 coupons recently. There are 0 accounts associated with this IP. Average shipment delay is 7.2 days. The user changed devices 2.7 times in the last week. Shipping addresses were updated 3 times in the last week. The user level is S1. The user level... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 31% in the last 30 days. They have used 2 coupons recently. There are 0 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 9.9 days. The user changed devices 1.1 times in the last week. Shipping addresses were updated 9 times in the l... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 21% in the last 30 days. They have used 7 coupons recently. There are 1 accounts associated with this IP. Average shipment delay is 9.3 days. The user changed devices 0.1 times in the last week. Shipping addresses were updated 8 times in the last week. The user level is S5. The user levels... | Unknown | null |
{'transaction_id': '4fab4f33-1fd0-4417-bd74-6ad7634e3cc9', 'refund_rate_30d': 0.94, 'accounts_per_ip': 4, 'failed_payments': 0, 'coupons_used': 9, 'account_age_days': 25, 'avg_shipment_delay_days': 8.6, 'failed_payment_attempts': 2, 'device_changes_per_week': 0.7, 'address_changes_per_week': 5, 'giftcard_purchase_ratio... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 86% in the last 30 days. They have used 8 coupons recently. There are 3 accounts associated with this IP. The transaction has 1 failed payment attempts. Average shipment delay is 8.5 days. Shipping addresses were updated 5 times in the last week. The user level is S6. The user levels are c... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'd040d975-3ce7-4243-972c-15e62e1339a9', 'refund_rate_30d': 0.79, 'accounts_per_ip': 3, 'failed_payments': 0, 'coupons_used': 2, 'account_age_days': 204, 'avg_shipment_delay_days': 0.4, 'failed_payment_attempts': 5, 'device_changes_per_week': 0.1, 'address_changes_per_week': 3, 'giftcard_purchase_rati... | Unknown | null |
{'transaction_id': '77f81415-cdbc-4c33-ab49-eb6eb1c5b6ef', 'refund_rate_30d': 0.21, 'accounts_per_ip': 2, 'failed_payments': 1, 'coupons_used': 1, 'account_age_days': 283, 'avg_shipment_delay_days': 1.9, 'failed_payment_attempts': 11, 'device_changes_per_week': 4.6, 'address_changes_per_week': 6, 'giftcard_purchase_rat... | Unknown | null |
The user has a refund rate of 89% in the last 30 days. They have used 6 coupons recently. There are 4 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 5.3 days. The user changed devices 5.4 times in the last week. Shipping addresses were updated 11 times in the ... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 69% in the last 30 days. They have used 5 coupons recently. There are 4 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 7.8 days. The user changed devices 4.5 times in the last week. Shipping addresses were updated 11 times in the ... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 8% in the last 30 days. They have used 4 coupons recently. There are 5 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 7.6 days. The user changed devices 2.1 times in the last week. Shipping addresses were updated 4 times in the la... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': '0b079a8f-5c0b-43ae-a511-f8f9fd021a35', 'refund_rate_30d': 0.8, 'accounts_per_ip': 1, 'failed_payments': 3, 'coupons_used': 5, 'account_age_days': 254, 'avg_shipment_delay_days': 8.5, 'failed_payment_attempts': 7, 'device_changes_per_week': 4.8, 'address_changes_per_week': 4, 'giftcard_purchase_ratio... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': '1b59b894-0901-464d-b06a-e5350d82cfd2', 'refund_rate_30d': 0.17, 'accounts_per_ip': 2, 'failed_payments': 2, 'coupons_used': 5, 'account_age_days': 70, 'avg_shipment_delay_days': 9.5, 'failed_payment_attempts': 7, 'device_changes_per_week': 2.5, 'address_changes_per_week': 1, 'giftcard_purchase_ratio... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 97% in the last 30 days. They have used 2 coupons recently. There are 3 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 9.2 days. The user changed devices 5.3 times in the last week. Shipping addresses were updated 11 times in the ... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': 'c8d06a37-9b38-4a25-b8e7-c1b0f7ea57e2', 'refund_rate_30d': 0.87, 'accounts_per_ip': 2, 'failed_payments': 1, 'coupons_used': 7, 'account_age_days': 271, 'avg_shipment_delay_days': 1.1, 'failed_payment_attempts': 13, 'device_changes_per_week': 0.8, 'address_changes_per_week': 5, 'giftcard_purchase_rat... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': 'c354e1b5-ee41-4fb4-a65e-74e28857b0f7', 'refund_rate_30d': 0.64, 'accounts_per_ip': 2, 'failed_payments': 2, 'coupons_used': 5, 'account_age_days': 207, 'avg_shipment_delay_days': 9.6, 'failed_payment_attempts': 0, 'device_changes_per_week': 0.6, 'address_changes_per_week': 1, 'giftcard_purchase_rati... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '9a706721-6847-49bd-be5b-6a2921417bf6', 'refund_rate_30d': 0.74, 'accounts_per_ip': 0, 'failed_payments': 2, 'coupons_used': 9, 'account_age_days': 212, 'avg_shipment_delay_days': 1.5, 'failed_payment_attempts': 0, 'device_changes_per_week': 3.6, 'address_changes_per_week': 3, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 76% in the last 30 days. They have used 0 coupons recently. There are 5 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 6.3 days. The user changed devices 2.0 times in the last week. Shipping addresses were updated 10 times in the ... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 11% in the last 30 days. They have used 9 coupons recently. There are 5 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 7.2 days. The user changed devices 3.8 times in the last week. Shipping addresses were updated 4 times in the l... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'a257248e-ec32-4536-a05f-4ab1ea57bd2f', 'refund_rate_30d': 0.62, 'accounts_per_ip': 1, 'failed_payments': 1, 'coupons_used': 7, 'account_age_days': 352, 'avg_shipment_delay_days': 4.1, 'failed_payment_attempts': 8, 'device_changes_per_week': 4.7, 'address_changes_per_week': 0, 'giftcard_purchase_rati... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
{'transaction_id': 'c904d897-d2dc-4c73-b0fa-66951ff52202', 'refund_rate_30d': 0.88, 'accounts_per_ip': 4, 'failed_payments': 2, 'coupons_used': 0, 'account_age_days': 59, 'avg_shipment_delay_days': 2.8, 'failed_payment_attempts': 12, 'device_changes_per_week': 5.3, 'address_changes_per_week': 8, 'giftcard_purchase_rati... | Unknown | null |
The user has a refund rate of 50% in the last 30 days. They have used 9 coupons recently. There are 5 accounts associated with this IP. Average shipment delay is 3.1 days. The user changed devices 5.2 times in the last week. Shipping addresses were updated 7 times in the last week. They logged in 32 times in the last 7... | Unknown | null |
{'transaction_id': 'c3efd4bc-7148-4151-9ad0-c3d4de43fad6', 'refund_rate_30d': 0.52, 'accounts_per_ip': 3, 'failed_payments': 1, 'coupons_used': 3, 'account_age_days': 41, 'avg_shipment_delay_days': 2.0, 'failed_payment_attempts': 10, 'device_changes_per_week': 5.1, 'address_changes_per_week': 0, 'giftcard_purchase_rati... | Unknown | null |
The user has a refund rate of 1% in the last 30 days. They have used 3 coupons recently. There are 5 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 3.9 days. The user changed devices 5.6 times in the last week. Shipping addresses were updated 7 times in the la... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 93% in the last 30 days. They have used 5 coupons recently. There are 5 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 8.7 days. The user changed devices 1.9 times in the last week. Shipping addresses were updated 7 times in the l... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
The user has a refund rate of 60% in the last 30 days. They have used 0 coupons recently. There are 2 accounts associated with this IP. The transaction has 1 failed payment attempts. Average shipment delay is 2.2 days. The user changed devices 4.4 times in the last week. Shipping addresses were updated 3 times in the l... | Unknown | null |
The user has a refund rate of 56% in the last 30 days. They have used 5 coupons recently. There are 3 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 8.4 days. The user changed devices 2.7 times in the last week. Shipping addresses were updated 9 times in the l... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'a4583116-567e-4841-a62a-cd2c99c4afb4', 'refund_rate_30d': 0.96, 'accounts_per_ip': 5, 'failed_payments': 2, 'coupons_used': 10, 'account_age_days': 80, 'avg_shipment_delay_days': 5.8, 'failed_payment_attempts': 10, 'device_changes_per_week': 4.6, 'address_changes_per_week': 4, 'giftcard_purchase_rat... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 51% in the last 30 days. They have used 3 coupons recently. There are 4 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 0.1 days. The user changed devices 4.4 times in the last week. Shipping addresses were updated 11 times in the ... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': 'f1286cc9-6085-4b3b-8a4c-d8da985f0b4c', 'refund_rate_30d': 0.38, 'accounts_per_ip': 1, 'failed_payments': 2, 'coupons_used': 7, 'account_age_days': 125, 'avg_shipment_delay_days': 9.0, 'failed_payment_attempts': 7, 'device_changes_per_week': 5.8, 'address_changes_per_week': 5, 'giftcard_purchase_rati... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '3c008fcb-5dca-4bb7-930d-696413612596', 'refund_rate_30d': 0.66, 'accounts_per_ip': 4, 'failed_payments': 3, 'coupons_used': 9, 'account_age_days': 285, 'avg_shipment_delay_days': 1.6, 'failed_payment_attempts': 11, 'device_changes_per_week': 3.5, 'address_changes_per_week': 8, 'giftcard_purchase_rat... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 49% in the last 30 days. They have used 8 coupons recently. There are 3 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 9.8 days. The user changed devices 5.2 times in the last week. Shipping addresses were updated 9 times in the l... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '57a182ca-0f85-4ace-be60-0e849a8ffd03', 'refund_rate_30d': 0.72, 'accounts_per_ip': 4, 'failed_payments': 0, 'coupons_used': 10, 'account_age_days': 237, 'avg_shipment_delay_days': 1.8, 'failed_payment_attempts': 11, 'device_changes_per_week': 1.5, 'address_changes_per_week': 9, 'giftcard_purchase_ra... | Unknown | null |
The user has a refund rate of 30% in the last 30 days. They have used 3 coupons recently. There are 3 accounts associated with this IP. Average shipment delay is 8.8 days. The user changed devices 0.4 times in the last week. Shipping addresses were updated 1 times in the last week. The user level is S1. The user levels... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
{'transaction_id': '2e96a9ce-d3e7-4570-a645-06cda3cde0a3', 'refund_rate_30d': 0.06, 'accounts_per_ip': 0, 'failed_payments': 0, 'coupons_used': 9, 'account_age_days': 42, 'avg_shipment_delay_days': 8.4, 'failed_payment_attempts': 8, 'device_changes_per_week': 5.2, 'address_changes_per_week': 3, 'giftcard_purchase_ratio... | Unknown | null |
The user has a refund rate of 66% in the last 30 days. They have used 9 coupons recently. There are 1 accounts associated with this IP. The transaction has 1 failed payment attempts. Average shipment delay is 4.8 days. The user changed devices 5.3 times in the last week. Shipping addresses were updated 3 times in the l... | Incentive Abuse | These values indicate potential incentive abuse because a high refund rate within 30 days (refund_rate_30d between 0.6 and 1.0) suggests that the user frequently returns purchased items, potentially exploiting return policies to gain benefits without real intention to keep the products. Similarly, using a large number ... |
The user has a refund rate of 20% in the last 30 days. They have used 10 coupons recently. There are 5 accounts associated with this IP. Average shipment delay is 3.8 days. The user changed devices 5.0 times in the last week. Shipping addresses were updated 11 times in the last week. Average session duration is 70.2 mi... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 33% in the last 30 days. They have used 5 coupons recently. There are 4 accounts associated with this IP. The transaction has 2 failed payment attempts. Average shipment delay is 2.1 days. The user changed devices 4.8 times in the last week. Shipping addresses were updated 3 times in the l... | Fraudulent Accounts | These values indicate potential fraudulent accounts because multiple accounts sharing the same IP (accounts_per_ip between 3 and 5) suggest that a single user or group may be creating several accounts to manipulate the system, such as bypassing restrictions or gaming promotions. Coupled with very short account ages (ac... |
The user has a refund rate of 10% in the last 30 days. They have used 2 coupons recently. There are 2 accounts associated with this IP. The transaction has 3 failed payment attempts. Average shipment delay is 9.7 days. The user changed devices 0.8 times in the last week. Shipping addresses were updated 4 times in the l... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': 'f6a9f7d3-134c-497f-ac79-ea4139e63d67', 'refund_rate_30d': 0.55, 'accounts_per_ip': 4, 'failed_payments': 3, 'coupons_used': 5, 'account_age_days': 145, 'avg_shipment_delay_days': 5.9, 'failed_payment_attempts': 7, 'device_changes_per_week': 5.7, 'address_changes_per_week': 7, 'giftcard_purchase_rati... | Payment Issues | These values indicate potential payment issues because multiple failed payment attempts (failed_payments between 2 and 3) directly show difficulties in completing transactions, which could be caused by invalid payment methods, insufficient funds, or technical errors. At the same time, a high average shipment delay (avg... |
{'transaction_id': '93ada1d3-361f-4417-b63e-6b97b2b76c0b', 'refund_rate_30d': 0.67, 'accounts_per_ip': 5, 'failed_payments': 3, 'coupons_used': 8, 'account_age_days': 255, 'avg_shipment_delay_days': 6.3, 'failed_payment_attempts': 9, 'device_changes_per_week': 0.2, 'address_changes_per_week': 2, 'giftcard_purchase_rati... | Unknown | null |
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