Our customers love using Parse.ly to understand their audience attention online.
From local news to large media companies to direct-to-consumer brands (and more!), we help 2,500+ websites use data to create the best content, distribution, and revenue-generating strategies.
If you’re curious how audience data can fit into your workflow, explore how these customers have used Parse.ly.
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.
Explore customer stories
Condé Nast property Ars Technica talks about how their whole team uses Parse.ly data.
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HelloFresh's content team uses their blog to stand out in a saturated market.
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In 2016, Mashable integrated Parse.ly’s raw data pipeline with the goal of obtaining more granular information about their data.
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Slate increased reader loyalty and grew subscriptions with a new north star metric.
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NAPCO Media empowered their content creators by giving them access to data about their readers.
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Listen to a webinar and learn how TechCrunch has been strategizing about video distribution.
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Time Inc. Overhauls Analytics To Make Content Creation Data-Driven
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Greentech Media used Parse.ly to conceive, market, and launch a successful new revenue stream.
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Trusted Media Brands amassed an audience on social media using Parse.ly to fuel their strategy.
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Based on Parse.ly data, The Drum decided to rearrange its content teams to capitalize on peak time and engagement.
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See how local sites got to know their readers better through data.
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WSJ counts on Parse.ly to arm their editors with information to be data-informed, not data-driven.
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