Rezi effectively uses mined data to manage preferences and maintain relationships with clients. This is particularly important in a market where only 1 in 8 buyers return to their original agent. Rezi helps agents reconnect with past clients, nurturing these relationships to increase repeat business.

By analysing client data, including past purchases, preferences, and search patterns, estate agents can create calculated and closely targeted marketing campaigns. For example, data on a client’s preferred locations, property types, and budget range can tailor specific listings to their needs.

Data mining also helps in predicting which clients are likely to buy or sell soon, for example by analysing data like the duration since the last purchase. This helps estate agents focus their effort on maintaining relationships with potential repeat clients at the right time.

Some examples of the key data indicators for predicting whether clients might be ready to buy or sell their house include:

• Duration Since Last Purchase: One of the primary indicators is the time elapsed since the client’s last property purchase. Historical data patterns might show, for example, that homeowners in a particular demographic tend to sell or upgrade their homes every 7-10 years.
• Market Conditions: Analysis of broader market trends, such as rising property values in a client's area or low-interest rates, can indicate optimal selling or buying times. Clients who are aware of these trends might be more inclined to act.
• Property Equity Levels: Clients who have built substantial equity in their current homes may be more likely to consider selling and purchasing a new property. Data on mortgage payments and property appreciation rates can help identify such clients.
• Interaction and Engagement Data: Monitoring clients' interactions with marketing materials, property listings, and communication can provide clues about their readiness. For instance, an increase in a client’s engagement with property listings or real estate market news can be a strong indicator of their intent to buy or sell.
• Property Maintenance and Improvement Data: A sudden spike in home improvement activities, often gathered from home improvement retailer data or permit filings, can sometimes indicate preparation for a sale.
• Neighborhood and Community Trends: Data indicating a trend of people moving in or out of a neighbourhood, perhaps due to changes in local employment opportunities or school district ratings, can be a precursor to more sales or purchases in that area.