AI Is Changing What Campaigns Should Expect From Voter Outreach 

For decades, campaigns, nonprofits and other organizations have measured success by how many people they could reach. That broadcast mentality has shaped communications strategies for years.

Something interesting I’ve found while building in this space is how much of the measurement stack was basically inherited from broadcast media and never really questioned. Metrics like impressions, open rates and reach made sense when two-way conversation at scale was technically impossible. 

Over time, that reality shaped more than reporting dashboards. It shaped communications strategy. Success became synonymous with maximizing distribution because reaching more people was the only part of the equation organizations could realistically control.

But that constraint is gone now, and many organizations haven’t updated their metrics. They’re still optimizing for a bottleneck that no longer exists.

Artificial intelligence is fundamentally changing those expectations. People no longer expect to simply receive messages. They expect to be able to respond, ask questions and engage in a conversation. The real power of AI isn’t creating more content, but increasing your capacity to respond.

For example, sending a message to 100,000 people was never really the hard part. The hard part is handling the 20,000 replies and ensuring each one receives a response and feels engaged. AI helps remove that wall, and that’s a much bigger shift than many organizations realize. The conversation has largely focused on AI’s ability to generate emails, social posts or marketing copy more efficiently. 

We’re already seeing this shift play out across industries. Whether someone is responding to a political campaign, texting a business with a question or messaging customer support, there’s a growing expectation that if they take the time to respond, they’ll also get a response.

Response rates on text-based outreach are considerably higher than most organizations are used to. That used to be more of a headache than a win, because more replies just meant more work piling up for a team that couldn’t keep pace. But once you can sustain that back-and-forth in real time, the equation flips. All of those replies are from your most engaged audience, giving you an opportunity. The bottleneck disappears, leaving only people willing to engage in conversation with you.

That also changes how organizations should think about a call to action. A call to action is far more likely to succeed after some rapport has been built through a genuine conversation than when the very first message is asking someone to click a link, donate, volunteer or take action. After a few back-and-forths, the call to action feels like a natural next step instead of a cold ask.

The shift doesn’t stop there. It should also change the way organizations think about measurement. Traditional metrics like impressions, open rates and click-through rates are becoming less meaningful on their own. Instead, the focus should shift toward engagement, conversation quality, responsiveness and relationship-building. Those are stronger indicators of whether communication is actually accomplishing what it was intended to do.

The real competitive advantage won’t come from using AI to create more content faster. It will come from using AI to make meaningful, two-way conversations possible at scale. That doesn’t mean every communication needs to become a conversation. There will always be a place for one-way messaging, whether it’s an emergency notification, a product recall or information that simply needs to reach people quickly. 

But AI fundamentally changes what’s possible after that message is sent. For the first time, organizations can realistically respond to thousands of people simultaneously without requiring thousands of people behind the scenes.

People expect real answers now, whether they’re texting a business or messaging a friend. Once that expectation sets in, a standard text blast feels almost rude, like being talked at instead of talked to.

Organizations and campaigns that don’t adjust to this shift risk losing relevance. It probably won’t happen all at once. It’ll look more like people quietly disengaging, unsubscribing, tuning out or going somewhere else because the format no longer matches what they expect from any kind of communication.

I don’t think the biggest story in AI is content generation. It’s that we’re moving from an era where organizations competed to reach the most people to one where they’ll compete to have the best conversations.

The organizations that recognize that shift early won’t just communicate differently. They’ll build stronger relationships because they’ll finally be able to listen at the same scale they’ve always been able to speak.

Andrew Missey is the co-founder and CTO of Convos, a two-way AI-powered texting platform that helps political strategists, campaigns, nonprofits, and advocacy groups deliver personalized, fact-based voter conversations at national scale. Before co-founding Convos, Andrew worked as a software engineer developing AI-powered applications and scalable web platforms for venture-backed technology companies serving national brands.