Why Organizations Must Focus on Proxy IP Usage Efficiency
In business scenarios such as e-commerce data collection, account management, and advertisement verification, companies send millions of requests through proxy IPs every day. We have observed a customer using the same IP to access the target website for 3 consecutive days, resulting in the request success rate plummeting from 98% to 32%.Inefficient IP usage not only increases costs, but also directly impacts business results. By analyzing network agent logs, key issues such as abnormal IP rotation frequency and uneven geographical distribution can be identified.
Uncovering the culprits of IP wastage from logs
Open the agent log file for any time period and focus on the following three types of data:
Type of indicator | abnormal behavior | Optimization direction |
---|---|---|
Success rate of requests | Success rate for specific IP segments <60% | Timely replacement of failed IPs |
IP Idle Rate | 20% or above IP single day use <5 times | Optimize IP scheduling policies |
reuse rate | Repeated requests > 20 times in 1 hour for a single IP | Reduced IP survival time |
A cross-border e-commerce customer discovered that its European residential IP idleness rate was as high as 37% through the log analysis template provided by ipipgo. after adjusting the IP pool configuration, it saved $62,000 per month in IP purchasing.
A four-step hands-on program to improve the efficiency of IP usage
Step 1: Screening inefficient IPs
Enable [IP Healthiness Detection] function in ipipgo control panel to automatically mark IPs with response delay >3 seconds or success rate <80%, and the system will complete the replacement within 2 hours.
Step 2: Dynamically adjust the frequency of requests
Set up a stepped access policy based on the anti-crawl mechanism of different websites. Example:
- News websites: no more than 15 consecutive visits/hour from a single IP address.
- Social media: no more than 30 minutes of survival time for a single IP
- E-commerce platform: IP concurrency under the same ASN ≤ 5
Step 3: Intelligent Assignment of Business Scenarios
Use static IPs for scenarios that require session continuity (e.g., synchronizing video viewing progress) and dynamic residential IPs for high-frequency data collection. ipipgo supports calling both static and dynamic IP resources under the same account.
Step 4: Monitor geographic distribution in real time
When it detects that the IP concentration of a region is too high, it immediately supplements the IP of other regions through ipipgo's API interface. e.g., the U.S. service can alternately use the IP resources of three different time zones, namely, California, Texas, and Florida.
How ipipgo supports optimization solutions on the ground
For enterprise-level users, ipipgo offers three core capabilities: : Accurate filtering of agent resources for specific carriers, autonomous system numbers (ASNs), and device types Q: How can I analyze the logs without a technical professional? Q: What should I choose between a dynamic IP and a static IP? Q: How can I avoid getting my new IP banned again?
1. Minute IP replacement response: When the system monitors an IP anomaly, it automatically calls a new IP from the standby pool
2. Multi-dimensional IP labeling system
3. Visual Logging Kanban: Real-time display of IP consumption percentage and success rate fluctuation curve for each line of businessFrequently Asked Questions
A: ipipgo provides pre-built analysis templates to automatically generate reports with optimization recommendations. After logging into the console, click "Business Analysis - Log Report" and select the date range to export the PDF document.
A: Recommended to follow the "three look" principle: look at the business continuity requirements, look at the strength of the target site wind control, look at the cost budget. ipipgo technical support team can provide free diagnostic services for the scene.
A: It is recommended to enable ipipgo's [intelligent routing] function, which automatically avoids high-risk IP segments based on historical blocking data, while dynamically adjusting the request interval time, which is measured to extend the survival cycle of new IPs by 3-8 times.