Case Study: Leading Job Site achieves 99.9% human ad traffic and accurate metrics with Distil Networks

Leading Job Site Blocks Bots with Distil Appliance

A leading jobs website and online directory was seeing unwanted bot activity that skewed web metrics, undermined the integrity of its advertising platform, drove up infrastructure costs and hurt site performance. Existing CDN tools and a homegrown solution were reactive—blocking IPs or user agents after problems surfaced—leaving engineering unable to proactively protect data or confidently report clean metrics to customers.

The company deployed a high-availability Distil appliance integrated with its CloudFlare CDN and F5 load balancers to proactively block malicious bots using Distil’s global network intelligence. The appliance stops bad bots before they reach application servers, restoring accurate metrics and data control, cleaning ad traffic to 99.9% real human traffic, preventing performance issues and reducing infrastructure overhead.