Bot filtering is the process of identifying and excluding automated, non-human traffic from analytics data so that metrics like visitors, sessions, and conversion rate reflect real user behavior. It’s essential for accurate reporting, especially during high-traffic events like launches or airdrops.

Examples

• A dashboard applies bot filtering before reporting weekly unique visitors.

• A team enables stricter bot filtering after noticing inflated traffic during a token launch.

• Bot-filtered conversion rate is compared to raw conversion rate to see how much bot activity was skewing results.

FAQs

How does bot filtering work?

It typically combines known bot signatures, behavioral patterns, and heuristics to flag and exclude non-human traffic.

Can bot filtering be too aggressive?

Yes. Overly strict filtering can accidentally exclude legitimate users, so it needs to be tuned carefully.

Does bot filtering catch Sybil wallets?

Bot filtering typically targets web traffic; identifying Sybil wallets onchain requires separate wallet-behavior analysis.