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Association Brain Food: 3.8.24

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The weekly list of free educational events and resources for the association community… 2024 association trends. In 2024, the data continues to show how the historical assumptions that drove association strategy are less and less valid.” As you might expect, AI is on the list, but they look beyond the usual discussion points.

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Association Brain Food: 3.1.24

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– Beyond the Hype: Harnessing the Power of AI and BI in Your AMS (Washington DC) Explore strategic insights and practical applications of Artificial Intelligence and Business Intelligence you need to transform your association. Location: Washington DC. to map out a new vision of association volunteer systems. 1 CAE credit.

Education 259
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Association Brain Food: 2.23.24

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Gen Z and millennial marketing. – GLAM Happy Hour (Washington DC) Join us for another GLAM (Gays and Lesbians in Association Management) happy hour to catch up with your LGBTQ+ friends and colleagues in the association community. Location: Washington DC. Event sponsorships. More info/register. 1 CAE credit.

DC 265
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Association Brain Food: 9.29.23

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If you’re trying to figure out how to market to Gen Z and millennials, Mercury Creative Group explains how to build an association brand that attracts and retains younger members. PAR Member Meet-Up: How to Approach Revenue Forecasts for 2024 Hear how associations plan and deliver revenue forecasts from the basic to the advanced.

Revenue 276
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Association Brain Food: 10.27.23

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Trying to figure out how to market more effectively to Gen Z and millennials? Learn how to weed your data garden, improve staff efficiency, common use cases supported by data integrations, how to identify the use cases you will need, and basic steps you can take to validate those use cases against a system API when selecting a new system.

LMS 259
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Association Brain Food: 9.22.23

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Amanda Lea Kaiser ) Two mobile engagement strategies to help your association increase Gen Z and millennial membership. Visualizing the Future: AI, Dataviz, and Real-World Impact (Washington DC) Learn how AI is being designed for trust and feedback, examining features in everyday technologies. Location: Washington DC.

LMS 271