Re:I analyzed 200 e-commerce sites and found 73% of their tr...
by simul007 on Thursday October 16, 2025 @04:55AM
(#45603004)
Hi HN,
I posted yesterday thinking nobody would care and was ready to just leave it alone. Waking up today to see all these comments absolutely shocked me.
Here are answers to the main questions I'm seeing:
Regarding the writing style: Look, I used AI to edit the article for clarity and professionalism only for the blog. This is a business website, not a personal blog. If you want the raw, unedited version, check this Reddit link:
I find it ironic that some people are more focused on criticizing the writing style than addressing the actual problem I'm documenting.
About sharing the script: Sophisticated bot detection can't rely on Microsoft Clarity or traditional analytics alone. It requires multiple data points:
Modern bots use specific behavioral patterns at scale with customized browser configurations (not just basic headless browsers). You need to understand frameworks like Puppeteer, Playwright, and Selenium very well to detect them.
You need access to live global datacenter IP databases.
Even when click farms use real phones with real browsers, IP intelligence helps distinguish human from automated behavior. Each device needs a unique IP, when it runs its target activity to avoid fraud detection.
Detection involves analyzing dozens of factors simultaneously.
The data in this article is real. I stand by the findings.
Here are answers to the main questions I'm seeing:
Regarding the writing style: Look, I used AI to edit the article for clarity and professionalism only for the blog. This is a business website, not a personal blog. If you want the raw, unedited version, check this Reddit link:
https://www.reddit.com/r/DataCops/s/vieMBQO8Lg
I find it ironic that some people are more focused on criticizing the writing style than addressing the actual problem I'm documenting.
About sharing the script: Sophisticated bot detection can't rely on Microsoft Clarity or traditional analytics alone. It requires multiple data points:
Modern bots use specific behavioral patterns at scale with customized browser configurations (not just basic headless browsers). You need to understand frameworks like Puppeteer, Playwright, and Selenium very well to detect them.
You need access to live global datacenter IP databases.
Even when click farms use real phones with real browsers, IP intelligence helps distinguish human from automated behavior. Each device needs a unique IP, when it runs its target activity to avoid fraud detection.
Detection involves analyzing dozens of factors simultaneously.
The data in this article is real. I stand by the findings.