92%
Increase in User Engagement
How Jagran Increased User Engagement with Tatvic’s Content Recommendation Engine
About Client
Jagran is one of the largest and most widely circulated Hindi-language daily newspapers in India. It is known for its extensive readership and is published in various editions across different states in India. Jagran publishes more than 500 articles from their digital desk and 5000 news articles from their print desk over a day across multiple categories like Taaza, Cricket, Politics, Tech, etc.
Business Challenge
- Selecting the relevant content as per a reader’s preferences archived from the reader’s history
- Dependency on paid channels
Goal
- Recommending more relevant content to readers
- Increasing the size of their loyal reader base
Subscribe to
Tatvic's newsletter!
Don’t miss the latest trends in Marketing, Technology, and Analytics
Download Case Study
Share Case Study on
Other Case Studies
2.9X
Increase in test ride bookings
27%
Cost optimization through automation
7.69%
Increase in app opens from inactive users
318%
Increase in e-retailer exits via Facebook Ads
