How Bad Is Bot Traffic Destroying Your Analytics?
I'm curious about everyone's experience with this: How much of your traffic is actually bots?
We've been seeing a pattern where teams are making campaign decisions based on analytics that are heavily skewed by bot traffic. It's not just the obvious stuff, it's fingerprinting, scrapers, and sophisticated traffic that looks legitimate at first glance. And it's poisoning conversion rates, skewing ROI, and making it impossible to trust dashboard data.
Some context: I'm working on a solution for this (intelligent edge-routing that validates traffic before it hits your analytics), but before I talk about that, I'm genuinely curious about the problem from your perspective:
- How do you currently detect bot traffic?
- What's the biggest impact you've seen on your metrics?
- Are you doing anything to clean your data, or just accepting the noise?
- Would a solution that filters bots at the edge (before they reach your analytics) actually solve your problem?
I think there's a real gap here, and I want to understand the community's needs as well.
Looking forward to hearing what you're all dealing with.
project: https://lynkb.ee
Replies
The worst part isn't the bots you catch, it's the ones that look human and quietly skew your conversion data for months before you notice.
For CoreSight, we rely heavily on engagement metrics to understand how users interact with the platform, and cleaning that data is an ongoing battle. Tbh, edge filtering before it hits analytics sounds super helpful!
@andreitudor14 It absolutely is Andrei. All done right at the edge, so pure junk traffic doesn't even hit you. We have a free offering, something I think you'll like.
@proaifounder We're excited about what this means for businesses, an active real-time bouncer for short links that evolves as threats evolve. Glad you like!