BQ & CONTENT RECOMMENDATIONS USING AI

Background

Astro is a leading media organization based in Malaysia with business holdings in satellite TV, radio, events, outdoor advertising, and video-on-demand. They own and operate hundreds of news websites and mobile apps to bring news, sports updates, and entertainment to Malaysians at home and overseas.

With so much content being created and produced, one of Astro’s key challenges was making its digital content more relevant and engaging to audiences on its sites and apps.

Capture Audience Content Consumption Patterns

Using advanced techniques, we were able to treat GA 360 like a Data Management Platform (DMP) and track the articles & videos consumed by each user

Extract User Journey to Big Query

The user journey was exported into Big Query, which is a cloud based data warehouse, where we could use AI & ML to predict each user’s preferences

Using AI to Personalize Content

Once each user’s preference was calculated, these predictions were exposed onto the client’s CMS, so that the most relevant articles were shown based on the audience’s interest

Evaluating Success

Documented results exhibited a healthy increase with more than a 200% increase in content engagement coupled with an uplift of more than 55% in articles being shared by users who resonated with the topics they read

How can I deliver relevant content on my website or mobile app?

Through GA 360’s native integration with BQ, leverage AI & ML to understand the intent of each person who arrives to your website & mobile application to suggest relevant topics that drive consideration

WANT TO FIND OUT MORE?

Read the original Article from Google

https://bit.ly/2M6yO3f
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