Emigrait utilizes machine learning to analyze over 600 legal data points, creating detailed behavioral profiles of consumers to predict their real estate needs. This approach enables real estate professionals to identify high-converting leads and optimize marketing efforts, significantly increasing customer acquisition rates.
Funding
$20K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Real estate professionals often struggle to identify and target potential clients who are most likely to buy or sell property, leading to inefficient marketing spend and lower conversion rates. Traditional demographic targeting lacks the precision needed to pinpoint individuals at key decision-making moments.
Solution
Emigrait employs machine learning to analyze over 600 legal and compliant data points, creating detailed behavioral profiles of consumers and predicting their real estate needs. This approach enables real estate professionals to identify high-potential leads with greater accuracy, optimizing marketing efforts and significantly increasing customer acquisition rates. The platform uses variables such as behavior, household characteristics, life events, changes in family, length of residence, property details, interest rates, and home value trends to generate predictive scores.
Target Audience
Emigrait primarily serves real estate professionals, including realtors, mortgage companies, and senior housing providers, seeking to improve lead generation and marketing ROI.
Features
- Machine learning model trained on 600+ legal and compliant data points
- Monthly data scrubbing for accuracy
- Behavioral and lifestyle "fingerprints" for each consumer
- Predictive scoring for identifying high-potential leads
- Custom lead generation markets
- Enhanced lead scoring to prioritize targets