By Jedd Countey, Head of Partnerships at Ascend – a SMS and Instagram messaging tool made for nonprofits, unions, advocacy, and political campaigns.

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Research suggests that the more opportunities nonprofits create for meaningful, two-way conversations, the greater their potential to turn supporters into donors.

A NextGen America study found a 5.8% average response rate to open-ended outreach across 1 million texts. Ascend has seen similar results: programs that invite replies achieve 20% engagement rates and 2× click to donate conversion rates compared to programs that don’t.

For nonprofits, the takeaway is clear: conversations over SMS can turn supporters into donors, and increase the likelihood of converting those donors into long-term sustainers. But scaling those relationships can be difficult because reviewing thousands of replies and responding thoughtfully takes time many texting teams don’t have.

AI can help teams manage more conversations without losing the human connection. Here are five ways nonprofits can respond to more supporters and strengthen long-term fundraising:

1) Start With Open-Ended Questions That Invite Supporters to Share Their Perspectives

These open-ended questions give supporters a reason to engage on their own terms. They also provide organizations with valuable insight into the issues, motivations, and concerns that matter to their audiences. Over time, those insights can help inform more relevant fundraising messages and future calls to action.

Of course, asking more questions also means managing more responses. AI can help teams handle that workload by organizing incoming replies into relevant folders or categories. In Ascend, teams can use folders to separate responses from different outreach efforts, making it easier to review messages, follow up with supporters, and keep conversations organized.

The goal is to remove the administrative work that gets in the way of personal engagement, giving organizers more time to focus on the people behind each reply.

2) Use Sentiment Analysis to Understand What Supporters Care About

AI-powered sentiment analysis helps nonprofits assess how supporters feel about a topic, campaign, or question. Are people expressing frustration about the economy? Are they hopeful about a proposed policy?

Understanding these reactions can help advocacy teams identify emerging concerns, refine their messaging, and prioritize follow-up conversations. It can also help inform future donation asks by giving teams a better understanding of the issues supporters care about.

Some platforms, including Ascend, automatically assign sentiment scores to incoming responses, making it easier for teams to gauge the tone of an interaction without manually reviewing every message.

3) Cluster Similar Responses to Make Personal Engagement Easier to Scale

When hundreds or thousands of supporters respond to an open-ended question, recurring themes often emerge.

AI can help identify these patterns by clustering similar responses together. Instead of requiring staff to read every message individually, teams can quickly see which topics are coming up most often and which groups may benefit from follow-up.

For example, if 50 supporters express frustration about the economy, an organizing team can review those responses together, develop a relevant response, and identify opportunities for further engagement. This can reduce repetitive work and make it easier to tailor follow-up messages to a shared concern.

By reducing the time spent sorting through messages, AI can help teams spend more time responding thoughtfully and identifying opportunities to deepen supporter relationships.

4) Use AI Sentiment Prompts to Identify High-Priority Conversations

AI sentiment prompts can help teams find key conversations more efficiently. Organizations can define the types of responses they are looking for so AI can flag conversations that match those objectives.

For example, a nonprofit focused on economic justice might prioritize responses expressing concern about the rising cost of living. A climate advocacy group might look for messages indicating interest in local organizing opportunities. A fundraising team might flag supporters who express a strong connection to the organization’s mission making them more likely to donate in the future.

Sentiment prompts can help identify conversations that align with an organization’s priorities, making it easier for staff to focus on the replies most relevant to your team’s goals.

5) Make Advocacy and Fundraising Asks Relevant to your Subscriber’s Conversation History

The value of a supporter conversation does not end when the initial exchange is over. The information people share can help organizations build more relevant outreach and make future asks feel less transactional. As so, a supporter who has developed a stronger connection to an organization’s mission may be more receptive to a future donation request or call to action.

When nonprofits understand which issues resonate with their audiences, they can make their outreach relevant and hyper-personalized. This approach also creates a more useful feedback loop. Open-ended questions help organizations learn what their audiences care about; AI helps teams make sense of those answers; and those insights inform future conversations and campaign strategy.

Over time, nonprofits can use this process to build more responsive supporter engagement programs, strengthen relationships with their audiences, and create better opportunities for people to chip in.

Scale the Work Behind the Conversation

AI helps teams organize replies, understand sentiment, recognize common themes, and identify conversations that deserve attention. Organizers can then use those insights to respond more thoughtfully and develop outreach that reflects the issues their audiences actually care about.

For organizations looking to improve text message fundraising, the first step is to make your asks feel meaningful and personal.

With the right combination of conversational strategy and AI-powered tools, nonprofits can make hyper-personalized engagement more scalable, build stronger supporter relationships, and create a more informed foundation for future fundraising.

Frequently Asked Questions

How can nonprofits use AI to improve supporter engagement?

Nonprofits can use AI to make supporter engagement more personal, meaningful, and scalable. AI tools can help organizations analyze open-ended responses, identify common themes, assess supporter sentiment, and organize incoming messages for more effective follow-up.

By understanding what supporters care about and making time for more one-on-one conversations, nonprofits can build stronger relationships that increase the likelihood of turning engaged supporters into donors and long-term sustainers.

Can AI help advocacy organizations manage two-way texting?

Yes. AI can help advocacy organizations manage large volumes of incoming text messages without sacrificing meaningful supporter interactions. Teams can use AI to organize replies into categories, analyze sentiment, cluster similar responses, and flag high-priority conversations that warrant personal follow-up.

These capabilities reduce the manual work involved in managing SMS programs, giving organizers more time to respond thoughtfully, understand supporter needs, and build relationships at scale.

How can nonprofits use supporter conversations to inform fundraising?

Supporter conversations give nonprofits valuable insight into the issues, motivations, and concerns that influence people’s willingness to give. By asking open-ended questions and engaging supporters in one-on-one conversations, organizations can better understand what drives their audiences and identify opportunities for deeper engagement. AI can help analyze these interactions, creating feedback that informs more relevant, personalized fundraising outreach. This strategy can help nonprofits move beyond one-time contributions and build stronger relationships that encourage recurring support.