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Digging Into Data: 7 Key Metrics to Track + Common Data Questions

Allegiance Group

One piece of data taken alone doesn’t tell the whole story. To truly understand the health of your organization, there are seven key metrics you should track in your database: Year-on-year revenue Donor file growth Donor retention Gifts per donor Average gift Revenue per donor Cost to acquire Data can be overwhelming.

Metrics 52
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How To Perform a Database Cleanse

NonProfit PRO

When it comes to direct response, data is truly your most valuable asset. But far too often, nonprofit databases are filled with random (and often meaningless) fields while also failing to track and report on key data fields for the purpose of analysis and strategic planning.

Database 204
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Database management for nonprofits

fusionSpan

As a nonprofit, keeping track of your supporters and donors and managing member relationships is an essential part of how you fulfill your mission. Contents : Why should an organization have a database? fusionSpan worked to update antiquated data systems with a new nonprofit Salesforce implementation.

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Donor Database Management: A Quick Guide to Prospect Setup and Tracking

Qgiv

Few things are as important to successful fundraising teams as clean data around your prospect portfolio and moves management. However, many organizations fail to properly track gift officer portfolios, gift officer actions and donor pipeline management within their donor database management. Step 3: Prepare Your Database.

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6 Tips to Transform Your Dirty Data in 2024

Association Analytics

We likely don’t need to convince you that in today’s digital age, data is the lifeblood of any successful association. And you’re likely to agree that ensuring the cleanliness and accuracy of that data is key. But what happens if your data isn’t clean? Data should be directional Your data may be disorganized.

Data 169
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Don’t Fear Your Dirty Data

Association Analytics

The concept of “dirty data” and how to approach it can be daunting. Simply put, dirty data is data that is inaccurate, incomplete, inconsistent, duplicative, or outdated. At Association Analytics, we sometimes hear concerns about data quality in the context of associations starting their journey into analytics.

Data 169
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Is Your Association Using Data to Increase Event Revenue?

Association Analytics

Whichever format you choose, you should consider your historical event data as you develop your event marketing strategy. Be deliberate as you start to dig into the data you need. In our previous blog posts on retention and product value , we illustrated how data isn’t one dimensional. Does it fluctuate?