The Return Path Reputation Network Blacklist is compiled using a predictive model that analyzes up to 600 variables for each sending IP address. The model is unique because it incorporates real time data elements including feedback loop data reported by consumers from millions of mailboxes operated by ISPs in the Return Path Reputation Network. This comprehensive methodology combined with rapid updates offers the most current and accurate sender reputation profiles available.

Return Path Reputation Network Blacklist:

• Size: 1-2 million IPs at any given time.
• Methodology: Predictive statistics-driven model using up to 600 variables to analyze an IP.
• Updates: In real time, as queried.
• Support: Fully staffed customer support desk and detailed website. Human response to every escalated inquiry.

The Return Path Reputation Network Blacklist model examines at 600+ variables, including:

• Delivered Rate & Quantity: How much mail from this IP address was sent and delivered successfully to inboxes.
• Rejected and Filtered Rate & Quantity: How much mail from this IP address was sent and blocked outright (at the gateway) or filtered into the junk folder.
• Complaint Rate: How much mail from this IP address was reported as spam by recipients.
• Spam Trap Hits: Frequency and number of spam trap hits.

All users of the blacklist contribute data to the Return Path Reputation Network. For specific details and access instructions, contact us today.