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Level Up Your Marketing with Analytics

Association Analytics

Fortunately, with data, we can better understand members’ behavior and which marketing channel is most effective to reach our members. In this blog, we share tips on how to take your marketing to the next level with the help of analytics. In today’s world, success is measured by more than just clicks and open rates.

Analytics 169
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The Power of Learning Analytics: Maximizing the Impact of Your Education Programs

Association Analytics

By harnessing the power of learning analytics, decision-makers can gain valuable insights into learner behavior, course effectiveness, and overall program success. Let’s dive into how learning analytics can drive engagement, improve course completion rates, identify gaps in learning programs, and optimize the learning experience.

Analytics 169
professionals

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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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Demographics via Candid: Building a movement to promote equity in the social sector

Candid

A lack of standardized demographic data not only hinders our collective work to create a more equitable sector; it also requires nonprofits to take time away from their mission-driven work to respond to disparate requests by funders for this information.

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Four Steps to Align Data with Your Mission and Goals

Association Analytics

Data provides actionable insights and can give associations a navigable path to make better informed business decisions. And yet, the ability to use data to serve your association’s mission has never been more important and timely. Developing a SMART goal is seldom complex from a data standpoint. Formulate SMART Goals.

Goal 192
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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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Member Retention Strategies For Professional Associations

Association Analytics

You should segment your membership by the metrics that matter most to you, such as demographics, tenure, behavior, at-risk status, periods of time and more. Understanding why these members engage more — or digging into data around less engaged members — will help you to determine how to build effective membership retention strategies.

Retention 169