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5 More-Important-Than-Ever Digital Marketing Metrics for Nonprofits

Nonprofit Tech for Good

By Josh Kashorek , Director of Marketing at Journity , and advocate for using data to create high-performance nonprofit marketing campaigns. Traffic has been called a vanity metric by some, because it is relatively easy to generate new traffic if you are not concerned about the quality. 1) Traffic. 2) Conversion Rates. 3) Engagement.

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How to Demonstrate ROI to Your Nonprofit Board Members

Nonprofit Tech for Good

Your board may well be aware of metrics surrounding the cost to raise a dollar and be keen to understand what that number is for your nonprofit. Be aware, however, that in the world of nonprofit research, many experts discount that this metric has any real value in rating a nonprofit. However, gaps in management (i.e.,

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How to Leverage LMS Data Analytics for Better Decision-Making in Corporate Training

Gyrus

How to Leverage LMS Data Analytics for Better Decision-Making in Corporate Training GyrusAim LMS GyrusAim LMS - In today’s competitive business landscape, Learning and Development (L&D) programs are key drivers of employee growth, retention, and overall business success. billion in 2020–21.

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Come join Benchmarks 2022! Help us map the whole year in data.

M+R

The annual M+R Benchmarks Study is a wide-ranging exploration of digital fundraising, advocacy, and marketing data. We’d like to invite you to come along by participating in our upcoming 2022 M+R Benchmarks. . The window to sign up as a Benchmarks participant is open NOW. Related Links: Benchmarks UK is here!

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AI for good: How you can help Candid Labs empower nonprofits 

Candid

Benchmarks created to assess the performance of AI tools compared with humans on tasks such as image classification, visual reasoning, and English understanding show the gaps narrowing. As of May 2024, the MMMU benchmark , which evaluates responses to college-level questions, scored GPT-4o at 60%, compared with an 83% human average.

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Early-stage benchmarks for young cybersecurity companies

TechCrunch

Though every company’s journey is unique, we can tease out trends and patterns to establish performance benchmarks for the cybersecurity ecosystem as a whole. To most entrepreneurs, however, the sensitive data required to understand the early success of a company is often unavailable or obscured.

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Data-centric ML benchmarking: Announcing DataPerf’s 2023 challenges

Google Research AI blog

The key to both is a deeper understanding of ML data — how to engineer training datasets that produce high quality models and test datasets that deliver accurate indicators of how close we are to solving the target problem. Despite the importance of data, ML research to date has been dominated by a focus on models. LAION or The Pile ).