Creating Custom Content Recommendation Engines For Delivering A Personalized Experience To Audience

Our Solution:
As a Google Cloud partner, Stilbon is dedicated to helping businesses leverage the full power of Google Cloud to achieve their goals. One area where we excel is in creating custom content recommendation engines using BigQuery and Looker.

At Stilbon, we understand that content is king, and that providing personalized content recommendations to your audience is essential to building engagement and driving revenue. That’s why we work closely with our clients to design and implement a customized content recommendation engine that meets their specific needs.

Using BigQuery, we can store and analyse vast amounts of data quickly and easily, allowing us to identify patterns and trends in user behaviour. We then use Looker to create customized dashboards and reports that provide real-time insights into how your content is performing and how your audience is engaging with it.

Our team of experts will work closely with you to understand your business and audience, and to design a content recommendation engine that meets your unique requirements. We can customize the engine to take into account factors such as user location, interests, and past behaviour, ensuring that your audience receives the most relevant and personalized content recommendations possible.