Case Study: FindaTopDoc achieves tenfold traffic growth and fine‑grained editorial control with Ibexa

A Ibexa Case Study

Preview of the FindaTopDoc Case Study

FindaTopDoc Fine-grained editorial controls and content matched to reader needs

FindaTopDoc is a content-rich doctor search and bookings site that needed to drive organic traffic and engagement for both patients and paying doctors. To become a hybrid of Zocdoc and WebMD, the company had to produce and manage very high volumes of optimized content while enforcing editorial workflows, fine-grained permissions and plagiarism checks—requirements that outgrew its basic in-house system and ruled out one-size-fits-all platforms.

FindaTopDoc partnered with Mugo Web to build an Ibexa-based CMS that added fine-grained editorial controls, built-in plagiarism scanning, SEO automation, auto-generated location- and topic-based pages, doctor profiles with appointment requests, and streamlined approval workflows. The new platform supported rapid content growth (over 1,000 posts per month) and helped drive traffic up tenfold to more than a million page views per month; the site is now expanding monetization, iterating features regularly, and maintaining an ongoing development partnership.


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FindaTopDoc

Siobhan O’Grady

COO


Ibexa

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