How to Find Likely Movers: The Real Estate Agent's Guide to Predictive Seller Data (2026)

A likely mover is a homeowner who shows behavioral or demographic signals suggesting they may sell within the next 6–18 months — even though they have not listed yet and may not have even decided to move.

These signals are invisible to the naked eye. They come from data: life events, equity levels, time of ownership, neighborhood trends, income shifts, family size changes, and dozens of other variables that predictive platforms use to build a score.

The opportunity is significant. If you can identify a likely mover six months before they call an agent, you have a window to build trust, demonstrate expertise, and be the obvious choice when they are ready. Most of your competition is chasing people who are already interviewing three agents.

There is no single system for finding likely movers. Agents use a mix of four approaches depending on their budget, database size, and market.

The honest truth is that most agents who buy predictive data never act on it consistently enough to see results. The tool matters less than the system behind it. See Real Estate Follow Up Systems for how to build that system before spending on data.

Likely AI is built for agents who already have contacts — past clients, sphere relationships, old leads, open house sign-ins — and want to know which of those people are most likely to sell soon.

Instead of helping you find new names, it scores the names you already have. That distinction matters. A homeowner who knows you from a past transaction is easier to convert than a cold predictive hit from a territory you have never farmed. Likely AI leans into that advantage.

For agents with 200 or more contacts in a CRM, Likely AI is often the first tool worth testing before buying outbound predictive data. You may have likely movers in your database you are not paying attention to.

If your CRM is not yet set up or your contacts are disorganized, fix that first. See Best Crm Tools For Listing Agents for which CRM tools work best for listing agents.

Catalyze AI operates in a similar space to Likely AI, using AI to predict which homeowners are most likely to move. It is newer and less widely reviewed than other tools in this category, but it shows up in agent searches often enough to be worth comparing.

If you are evaluating Likely AI, putting Catalyze AI on your shortlist and requesting a demo from both is a reasonable approach before committing.

SmartZip and Offrs take a different approach. Rather than scoring people you already know, they score homeowners across a geographic territory and help you identify and market to the ones most likely to sell.

This is classic predictive farming. You claim a ZIP code or neighborhood, receive a ranked list of likely sellers, and then run a consistent outreach campaign — direct mail, digital ads, follow-up calls — over months until listings materialize.

Both tools require patience. Predictive farming rarely produces a listing in the first 60 days. The agents who get ROI from SmartZip and Offrs tend to be established, have a follow-up system already in place, and can sustain monthly spend for at least a year without immediate results.

For an honest breakdown of what SmartZip actually costs and who it is best for, see Is Smartzip Worth It. For a direct side-by-side of all predictive seller tools, see Best Seller Lead Generation Tools.

The failure pattern is consistent: an agent buys predictive data, sends one piece of mail, gets no immediate response, and concludes the tool does not work.

That is not a tool problem. That is a follow-up problem.

A homeowner who is 18 months from selling is not going to call you after one postcard. They need to see your name enough times, in enough contexts, that when they are finally ready to have a conversation about listing, you come to mind first.

That requires a CRM, a contact cadence, and the discipline to keep going when there is no immediate feedback. Agents who build that system turn predictive data into a reliable listing pipeline. Agents who do not build that system just spend money on lists.

If your follow-up process is weak, fix that before investing in likely mover data. See Real Estate Follow Up Systems for which systems actually work.

The right tool depends on what you already have and what you need. Start with your existing database before buying outbound data — most agents are sitting on likely movers they are not following up with.

If you need seller conversations faster than predictive farming allows, read How To Get Seller Leads 2026 for strategies that produce results in the next 30–90 days.