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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. Step 2: Explore – In addition to reviewing the data in their dashboard, IAEE asked members in its annual member survey and in post webinar surveys about topics they’d like to learn more about.

Data 210
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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?

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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. Solution : Solve this challenge by creating a data capture policy. Probably not, right?

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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.

Retention 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 Simply put, dirty data is data that is inaccurate, incomplete, inconsistent, duplicative, or outdated.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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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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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. Acquisition Channel.

Retention 192