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Is Your Association Using Data to Increase Event Revenue?

Association Analytics

The pandemic unexpectedly transformed how organizations hosted their events and meetings, forcing event planners to quickly pivot and move their meetings to virtual platforms. Whichever format you choose, you should consider your historical event data as you develop your event marketing strategy.

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Three Data-Informed Strategies for Better Member Engagement

Association Analytics

Most associations don’t have an easy way to measure member engagement across all their different systems and touch points. You’ll come away with specific examples from the team at the International Association of Exhibitions and Events (IAEE) that you can use to inform your own strategy.

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Top Ten Data Challenges (And Solutions) for Associations

Association Analytics

But when it comes to a troubling relationship with your data, can you turn to those same people? If you’re struggling to find someone to share your data woes with, we’re here to help you decipher the signs and get you back on track. Older models tended to be AMS-centric, leading to siloed data, static reports, and that trapped feeling.

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Are you getting the most out of your retention data?

Association Analytics

Analyzing this data is challenging as it typically resides in multiple systems (e.g. your AMS, event registration system, your community platform, even spreadsheets). While wrangling all of this data into one place for analysis can be quite the challenge, it’s worth figuring out how to do it.

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How to Manage Event Registration for Your Next Fundraiser

Get Fully Funded

Picture this: You’re about to hold the fundraising event of a lifetime. However, with so many people interested in attending, you’re quickly realizing that managing registration is becoming more and more difficult. Plus, your registrants aren’t getting the information they need to learn about your event. Let’s begin.

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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.

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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.

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