Overseas Market Research Tool_Localize IP to get accurate data

Real User Behavior Simulation: The Core Value of Localized IP

Overseas market research is afraid of data distortion, a Southeast Asian e-commerce platform has used data center IP to collect data, resulting in a statistical error of customer unit price of up to 47%. localized residential IP can simulate the network environment of the real user, for example, when using the residential IP of Manila, the Philippines, to visit the shopping site, the system will be pushed to the local promotional activities, display the price of the settlement of the local currency, this kind of data will have a commercial analysis of value. This is the kind of data that is valuable for business analysis.

ipipgo's residential IP library covers more than 240 territories worldwide, behind each IP is a real home broadband device. When researching the Brazilian market, logging into social media using a residential IP in São Paulo, the platform's algorithms automatically recommend local Netflix content, which is critical for competitive analysis.

A practical guide to choosing between dynamic and static IPs

Dynamic residential IP is suitable for scenarios that require frequent switching, for example, when collecting commodity prices in bulk, changing the IP every 5 minutes can avoid triggering the anti-climbing mechanism. Static IP, on the other hand, is suitable for long-term monitoring scenarios, such as continuously tracking the functional iteration of an APP.

Four steps to build an accurate data collection system

Step 1 Create "Southeast Asia Market" project group in ipipgo console, check the residential IP pool for Philippines, Vietnam and Thailand. Step 2 Set the IP survival period: 120-300 seconds replacement is recommended for dynamic IPs, and 72 hours for static IP bindings.

Step 3 When configuring the proxy protocol in the collection tool, theBe sure to turn on the automatic retry mechanismWhen it encounters IP failure, it immediately switches to the next node. The fourth step is to set up data verification rules, for example, if the price of goods above 90% in a certain region is found to deviate from the normal range, the manual review process will be triggered automatically.

Three Tips for Avoiding Pitfalls in Data Processing

A cross-border team had misjudged Indonesia's Ramadan promotion period by ignoring the time zone issue. It is recommended when cleaning data:

1. Bound IP time zone field
2. Filtering of non-native language content (e.g. English page data)
3. Compare the display differences of the same product in different IP segments

When using ipipgo's IP location feature, latitude and longitude data can be pinpointed down to the city level, which is particularly useful for analyzing regional consumption differences. For example, it was found that users in the city center of Bangkok were more concerned with delivery speed, while users in the suburbs cared more about the strength of the offer.

Frequently Asked Questions QA

Q: Why are there price fluctuations in data collected in the same area?
A: Users of different network operators may see differential pricing, it is recommended to enable AIS, DTAC, TrueMove three major Thai operator IPs at the same time in the ipipgo backend for comparison.

Q: How do I handle anti-crawl validation of my website?
A: Enable ipipgo's browser fingerprinting simulation function with dynamic IP to automatically replace the User-Agent and keep the device parameters of each request matching the IP location.

Q: How does cross-border data ensure uniformity in timeliness?
A: Use the timed task function of ipipgo to set all the collection nodes to execute at the same time at 2:00 a.m. of the target country time to avoid data bias due to differences in user activity.