Parse.ly's ability to easily monitor real time story performance and analyze long-term trends has encouraged our whole newsroom to take data and audience insights more seriously in every step of the editorial process.
Our writers and editors now have the tools to really understand our readers' interests and productively plan the best strategy for assigning, writing, and distributing content.
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Condé Nast property Ars Technica talks about how their whole team uses Parse.ly data.
HelloFresh's content team uses their blog to stand out in a saturated market.
In 2016, Mashable integrated Parse.ly’s raw data pipeline with the goal of obtaining more granular information about their data.
Slate increased reader loyalty and grew subscriptions with a new north star metric.
NAPCO Media empowered their content creators by giving them access to data about their readers.
Listen to a webinar and learn how TechCrunch has been strategizing about video distribution.
Time Inc. Overhauls Analytics To Make Content Creation Data-Driven
Greentech Media used Parse.ly to conceive, market, and launch a successful new revenue stream.
Trusted Media Brands amassed an audience on social media using Parse.ly to fuel their strategy.
Based on Parse.ly data, The Drum decided to rearrange its content teams to capitalize on peak time and engagement.
See how local sites got to know their readers better through data.
WSJ counts on Parse.ly to arm their editors with information to be data-informed, not data-driven.
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