Case Study: Diwanee achieves protection from content theft and ad fraud with DataDome

Diwanee fights ad fraud with DataDome

Diwanee, a Beirut-founded publisher of e-commerce and content sites for Middle Eastern women that draws about 11 million monthly visitors across five sites, faced widespread content theft and ad fraud — scraper bots republishing recipes and inflated advertising traffic metrics. To protect its editorial assets and maintain transparent ad reporting, Diwanee turned to DataDome and its automated bot-filtering service.

DataDome replaced Diwanee’s unmanageable manual IP blacklisting with an automated, low-latency bot protection layer that integrated seamlessly into their architecture and runs in the background. As a result of DataDome’s deployment, content theft stopped, the traffic sent to advertisers is now valid and verifiable, site performance improved, and server load dropped by 10–15%, reducing hosting costs.

Diwanee

Ivan Petrovic

Chief Scientist