Association Marketing

Associations and non-profits have the upper hand when it comes to content. Whether staff-, subject matter expert-, or practitioner-driven content, these organizations have the depth and breadth of intellectual capital to inspire ideas, set best practices, and answer questions that member, donors, or customers didn't even know they had.

No, content gen is never the pervasive issue when it comes to associations.

Instead, associations get tripped up when it comes to creating effective knowledge experiences that help members find answers quickly, whether they know what to search for or not. 

Most associations struggle because their resource centers are just file libraries with basic filters. They're not curated content centers that connect topics, tags, and keywords to real member goals.

By combining structured, accessible, intuitive navigation with strong search capabilities, associations can effectively appeal to those who know the "Dewey Decimal System" (i.e. know what filters and key words to use) and those who don't. 

I've centered a few blogs to date around the notion of agenticity within organizations. And there's good reason for it. If you're not at least exploring agentic teams within your operations, there's risk you'll be left behind in terms of competition, capacity, and culture.

The need for agentic operating models, particularly for associations and nonprofits where teams are slim and hats are many, is well established at this point. The grey area lies in the process orgs take to get to an AI-first position.

Not to worry. If there's a org-specific framework needed, HighRoad has your back. Here's a solid program for building and establishing an AI agentic operating model within your association or nonprofit.

In the enterprise for-profit world, sales teams often get droves of leads generated by often sturdy marketing teams. Some are sales-quality standard. Some are not. But the key is that there's steady volume and a systemized qualification in place from the marketing team. Sounds great, right?

Not so much for associations and nonprofits.

It's been an ongoing challenge for association sales and marketing teams to build proper smarketing programs based on association and nonprofit org charts and business models. Marketing teams are often focused on dues and program revenue—where's there's a conversion, not a close (i.e. membership , events, etc.). And Sales teams are focused on sponsorship, advertising, and other corporate programs. Both put in a great deal of effort but often don't work together on mutual goals. 

Until lean marketing & communications teams get more team members who are solely dedicated to feeding the top of the funnel, or sales teams add marketing resources under their budget line, this problem won't be solved.

This is where AI comes in. 

To some, an AI agentic operating model can seem intimidating. It's easy to picture Will Smith's early 2000s I, Robot film, where pools of willful machines took control of humanity. While that was a cool movie, that's not what we're talking about here. Not by a mile.

When we talk about AI agentic teams, the word "teams" is key. The human is still the dominant and strategic force relying on its AI counterpart to perform the more executional, reactive, and operational tasks. Humans have their place in stewardship. Agents have their place in planning and execution. Both work together based on mutualized goals. 

For associations, AI agents monitor member behavior, trigger engagement workflows, update records, and generate leads for acquisition. All with defined guardrails and human oversight. But what does it take to go from tipping your toe in the pool of agenticity, to transforming your org into a fully AI-Agentic Operating Model? Let's take a look.

AI maturity in associations and nonprofits isn't a one-and-done scenario. Checking the box off with AI adoption pilots just doesn't cut it.

For associations and nonprofits, AI transformation is defined and tied to one very simple thing - delivery. Whether member-driven or mission-driven, orgs can only define themselves as AI-mature if they've leveraged AI within every corner of their operations to deliver, and continue delivering, on their promise. 

Yes, operational efficiency plays a huge role in influencing productivity, driving revenue, reducing staff time, and relegating more administrative and otherwise repetitive tasks to automation. But, in the end, the most mature organizations get to tout that AI has influenced real decision-making on programming, new member models, member engagement, legislative movements, etc. - all factors that contribute to driving value to constituents. 

While every org is going to carry a different flavor, there are standard signals that indicate an association or nonprofit is AI mature.