Using Data to Drive Nonprofit Decisions

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Summary

Using data to drive nonprofit decisions means incorporating data and analytics into decision-making processes, enabling organizations to focus resources, measure impact, and achieve their missions more strategically. By leveraging data, nonprofits can make informed choices and align efforts with goals that create meaningful change.

  • Define clear objectives: Establish specific, measurable goals for your organization, such as donor retention, engagement levels, or program impact, to guide data collection and analysis.
  • Focus on actionable metrics: Prioritize tracking data that directly supports your mission, like cost per dollar raised or lifetime donor value, rather than less meaningful metrics.
  • Use data for insights: Regularly analyze data to identify trends, assess your impact, and adjust strategies as needed to improve outcomes and drive your mission forward.
Summarized by AI based on LinkedIn member posts
  • View profile for Willem Koenders

    Global Leader in Data Strategy

    15,966 followers

    Last week, I posted about data strategies’ tendency to focus on the data itself, overlooking the (data-driven) decisioning process itself. All it not lost. First, it is appropriate that the majority of the focus remains on the supply of high-quality #data relative to the perceived demand for it through the lenses of specific use cases. But there is an opportunity to complement this by addressing the decisioning process itself. 7 initiatives you can consider: 1) Create a structured decision-making framework that integrates data into the strategic decision-making process. This is a reusable framework that can be used to explain in a variety of scenarios how decisions can be made. Intuition is not immediately a bad thing, but the framework raises awareness about its limitations, and the role of data to overcome them. 2) Equip leaders with the skills to interpret and use data effectively in strategic contexts. This can include offering training programs focusing on data literacy, decision-making biases, hypothesis development, and data #analytics techniques tailored for strategic planning. A light version could be an on-demand training. 3) Improve your #MI systems and dashboards to provide real-time, relevant, and easily interpretable data for strategic decision-makers. If data is to play a supporting role to intuition in a number of important scenarios, then at least that data should be available and reliable. 4) Encourage a #dataculture, including in the top executive tier. This is the most important and all-encompassing recommendation, but at the same time the least tactical and tangible. Promote the use of data in strategic discussions, celebrate data-driven successes, and create forums for sharing best practices. 5) Integrate #datascientists within strategic planning teams. Explore options to assign them to work directly with executives on strategic initiatives, providing data analysis, modeling, and interpretation services as part of the decision-making process. 6) Make decisioning a formal pillar of your #datastrategy alongside common existing ones like data architecture, data quality, and metadata management. Develop initiatives and goals focused on improving decision-making processes, including training, tools, and metrics. 7) Conduct strategic data reviews to evaluate how effectively data was used. Avoid being overly critical of the decision-makers; the goal is to refine the process, not question the decisions themselves. Consider what data could have been sought at the time to validate or challenge the decision. Both data and intuition have roles to play in strategic decision-making. No leap in data or #AI will change that. The goal is to balance the two, which requires investment in the decision-making process to complement the existing focus on the data itself. Full POV ➡️ https://lnkd.in/e3F-R6V7

  • View profile for Cameron Ripley

    CEO @ Community Boost | Scaling Nonprofits with Proven Digital Strategies | $150M Generated for 1500+ Nonprofits

    9,871 followers

    Why do analytics and KPIs matter for nonprofits? 📊 They say "What gets measured, gets improved." And I couldn’t agree more. In nonprofit marketing... You could have a small team and make a huge impact if you track the right metrics. So how do you make sure you're on the right path? I focus on 5 key steps to ensure our analytics drive success: 1️⃣ Set Clear Goals: Know what success looks like. Define KPIs—donations, volunteer sign-ups, event attendance. 2️⃣ Track the Right Metrics: Focus on metrics that align with your goals. What are the leading indicators of success you can track? 3️⃣ Analyze Regularly: Don’t just collect data. Dive deep into it. Look for patterns and insights to guide your strategy. 4️⃣ Adjust Your Strategy: Use your findings to make informed decisions. If something isn’t working, pivot quickly. 5️⃣ Report Back: Share your results with your team and stakeholders. Transparency builds trust and keeps everyone aligned. In other words... Don’t just collect data → Use it to make smarter decisions. Don’t be reactive → Be proactive with your strategy. It’s not about guessing → It’s about knowing. Data is your guide, friends. So... use it wisely. 👍

  • Some nonprofits obsess over the wrong numbers. Open rates. Social likes. Event RSVPs. And then wonder why 𝘳𝘦𝘷𝘦𝘯𝘶𝘦 𝘪𝘴 𝘧𝘭𝘢𝘵 and donors are disappearing. Here’s the truth: 𝗡𝗼𝘁 𝗮𝗹𝗹 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝗮𝗿𝗲 𝗺𝗼𝗺𝗲𝗻𝘁𝘂𝗺. I call them 𝘃𝗮𝗻𝗶𝘁𝘆 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝗶𝗻 𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗰𝗹𝗼𝘁𝗵𝗲𝘀. They look good in a dashboard. But they don’t move the mission. Here’s what high-performing organizations track instead: 𝗗𝗼𝗻𝗼𝗿 𝗿𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 Because keeping a donor is cheaper—and more powerful—than chasing a new one. 𝗦𝗲𝗰𝗼𝗻𝗱 𝗴𝗶𝗳𝘁 𝗿𝗮𝘁𝗲 Because a second gift turns interest into belief. 𝗟𝗶𝗳𝗲𝘁𝗶𝗺𝗲 𝘃𝗮𝗹𝘂𝗲 Because impact multiplies when donors stay, grow, and refer. 𝗖𝗼𝘀𝘁 𝗽𝗲𝗿 𝗱𝗼𝗹𝗹𝗮𝗿 𝗿𝗮𝗶𝘀𝗲𝗱 Because sustainability matters more than the hype of “big numbers.” 𝗗𝗼𝗻𝗼𝗿 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗱𝗲𝗽𝘁𝗵 Not how many saw it. How many felt it. Shared it. Acted on it. Data should serve decisions, not just presentations. The best fundraisers don’t just measure what’s easy. They measure what 𝘮𝘢𝘵𝘵𝘦𝘳𝘴. 𝗪𝗵𝗮𝘁 𝗺𝗲𝘁𝗿𝗶𝗰𝘀 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗿𝗮𝗰𝗸 𝘁𝗵𝗮𝘁 𝗺𝗼𝘃𝗲 𝘆𝗼𝘂𝗿 𝗻𝗼𝗻𝗽𝗿𝗼𝗳𝗶𝘁 𝗳𝗼𝗿𝘄𝗮𝗿𝗱?

  • Measuring #impact is critical for #nonprofits; it is the most powerful mechanism they have to prove value to potential #donors and #volunteers. But it is also not straightforward. What metrics are the most important to measure? How do you know when something is working?  And, importantly, how should how you make impact inform the donors and volunteers you target?   One of our customers, Environmental Voter Project, has taken a particularly data-driven approach to combine #voter mobilization with measuring and optimizing impact. EVP uses voter analytics and predictive modeling to identify environmentalists who don’t vote, and reach out to them year-round with targeted, non-partisan messages encouraging voting in local, state, and federal elections. All voter mobilization campaigns are part of randomized, controlled trials to identify the most successful strategies and measure impact independent of outside variables like candidate campaigns or geography.    Using Bonterra's EveryAction solution, EVP has built a website to showcase success metrics and publish trial insights to show supporters how their efforts drive continuous learning and increased voter turnout. This transparent test-and-learn approach is a fantastic way to encourage involvement and bring your supporters along on your journey.     EVP is a textbook example of the value of combining targeted outreach with impact measurement and using each to inform the other. Awesome work!

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