Customer Experience With Personalized Recommendations
Recombee eases the journey of finding the right property, increases customer satisfaction, and aims at higher amounts of successful viewings.
Use Cases
Top Listings For You
Let your customers discover the best properties on the market and stay up-to-date with the latest trends in real estate.
Recommended Blog Posts
Provide new ideas and inspiration on the latest trends and insights in areas of interest.
Search Results
Make sure customers find the best homes and investment opportunities in their desired city or neighborhood.
Faceted Search
Narrow the search to a specific radius or polygonal area of a particular location.
Recently Viewed
Keep track of recently viewed listings and make it easy to access and interact with them again.
Similar Listings
Present various alternatives to the searched properties.
Nearby Listings
Expand the search with listings near the properties of interest.
More From This Broker
Recommend more listings from preferred brokers.
Popular & Trending
Highlight popular and in-demand properties in a given city or neighborhood.
Top Picks For You
Provide a personalized feed of listings from a given city or neighborhood based on search history and preferences.
Watchdog Recommendations
Run campaigns through personalized emails with newly added listings matching individual criteria.
Daily Listings Feed
Prepare personalized email campaigns with the latest listings based on customers' history and preferences.
Increase number of generated leads with real estate personalization
With diverse customers’ tastes and flourishing offerings in real estate, it may be challenging to find the right fit for each customer. This is why Recombee concentrates on individualization of each journey. Personalization increases customer satisfaction, and makes your services more efficient leading to higher amounts of broker contact and tour requests, successful viewings and properties sold.
Our deep learning recommendations show the most relevant listings to each of your visitors. Recombee doesn’t only analyze the visitor’s behavior and choices but also their geo-location preferences to be the leading recommendation engine for real estate. Our AI also analyzes property features such as year built, images or property descriptions.
Recombee’s robust recommendation engine analyzes item properties such as geolocation, number of rooms, floor number and amenities, and interactions like viewing the vacancies or likes. Optionally, additional property information can be translated through natural language processing (NLP) as well as image processing.
Real Estate Integration TipsCore Technology
Adapting to your data
A robust system that can utilize all data available to generate great recommendations for your users, including collaborative filtering and content-based models.
Dynamically Retrained Models
Real-time content personalization to fit every home-seeker's tastes and adapt to constantly changing content.
Specific Functionalities for Real Estate
Filtering based on polygons in a map incorporating the user's geolocation and earth distance ReQL functions to operate in a set radius.
AI-powered A/B Testing
In-house AutoML AI applied to keep maximal KPIs and advance the deep learning algorithm functions.
Advanced Business Rules
Boosters or filters to push forward desired listings and easy to manipulate, adjustable rules for additional optimization of your content.
Real AI Inside
Using Deep Learning to understand similarity of properties from images and attributes. Ensembles of real-estate tailored recommendation algorithms based on historical on-site behavior.
