The editorial team at Cheezburger wanted to grow their
readership
The product team wanted to increase reader circulation
on the website
The entire organization needed to know more about their
readers, what stories worked and which were less popular
Challenges
Before Parse.ly, the editorial team only had their
gut feeling to rely on and felt they were making
guesses about what their readers would like
Readers would arrive from social media sources directly on
an article page, and could only find more content by visiting
the homepage
After Parse.ly Implementation
Cheezburger built real-time traffic information directly into
their CMS
New “Hot Today” and “Top Posts” content recommendation features
built with Parse.ly’s API endpoints helped readers visit more
stories and increased internal referrals by 122%
Their editorial team says they understand which topics and types
of posts do better with their readers enabling the creation of
even more successful content
The organization was able to direct more attention to social
media with these systems in place and increased social referrals
by 71% in 2013