The behavioral signals primer.

Most databases are demographic snapshots. Behavior is the firehose you've been missing - the actual moment someone starts thinking about a move.

We instrument your valuation page, monitor public records, and watch for pattern shifts. The output is a score and a reason.

Five families of signal feed every Yapii score, refreshed nightly and same-day when something material fires:

• Valuation page visits. Yours and public MLS pages. We see the address, the frequency, and the pattern.
• Home-value refreshes. A homeowner who keeps checking what their place is worth is telling you something.
• Public-records changes. Equity bands, tenure milestones, transfer history, tax events.
• Life events. Job change, new child, divorce - opt-in data feeds that explain why timing shifts.
• Listing-status moves. A tracked address goes active, off-market, withdrawn, or back on. The signal is instant.

We combine public-record signals (equity, tenure, transfer history, tax events) with behavioral signals from your database (valuation views, email engagement, search patterns) and produce a daily score per contact. Every score has a reason attached - no black boxes.

The model was validated against closed data from seven pilot teams. For full transparency on features and weights, see How the predictive seller model works.

Open Yapii IQ. Ask for the top 25 warmest contacts with a signal in the last 14 days. Review the drafted email. Edit three words. Approve. Done.

The same loop closes campaigns: IQ surfaces the segment, drafts the message, suggests an A/B split, and queues the tasks across your team. You approve what ships.

Stop blasting the entire database every quarter. Stop ranking by last activity date. Stop assuming the loudest contact is the warmest one - the next seller is usually quiet, just clicking valuation pages on a Tuesday night.