How to find people who need to buy a house
In the real estate market, accurately finding customers with home purchase needs is the key to successful sales. This article will combine the hot topics and hot content on the Internet in the past 10 days to provide you with structured data and methodologies to help you effectively target target customers.
1. Analysis of hot topics in the current real estate market
According to the entire network data monitoring in the past 10 days, the following topics are the most discussed in the real estate field:
| hot topics | Discuss the popularity index | Relevant population characteristics |
|---|---|---|
| Mortgage interest rates cut | 92 | First-time home buyers, those in need of improvement |
| School district housing policy changes | 88 | Followers of young families and children’s education |
| urban renewal plan | 85 | Investment buyers, those in need of area improvements |
| Shared property housing | 78 | Low- and middle-income groups, newly employed college students |
| Facilitating second-hand housing transactions | 75 | Home replacement buyers, real estate investors |
2. Five major channels to accurately locate people in need of home buying
1.Accurate delivery of social media
According to user portrait data, the following platforms have a high degree of matching with the crowd:
| Platform | Active user characteristics | Delivery suggestions |
|---|---|---|
| WeChat Moments | 25-45 years old, with stable income | Targeted school district housing and improved housing advertisements |
| Douyin | 18-35 years old, most first-time home buyers | Short video showing down payment installment policy |
| little red book | Female between 25-40 years old, family decision-maker | Home Improvement + Home Buying Content Marketing |
| Zhihu | Highly educated, long decision-making cycle for home purchase | Professional real estate analysis articles to attract traffic |
2.Accurate customer acquisition in offline scenarios
High-converting offline touchpoint data:
| scene | Proportion of potential customers | Customer acquisition strategy |
|---|---|---|
| Newly launched project cases | 42% | Cross-selling, value-added services |
| Real estate transaction center | 38% | Resident consultation and policy interpretation |
| Large supermarket weekend | 25% | Pop-up exhibition halls and interactive activities |
| school closing time | 18% | Special publicity for school district housing |
3.Big data accurate portrait
Typical characteristic data of people interested in buying a house:
| Feature dimension | high intent indicator | Data source |
|---|---|---|
| search behavior | More than 5 real estate keyword searches | search engine data |
| spending power | There have been large financial redemptions recently | Financial institution data |
| family structure | There are children of school age | Educational institution data |
| job change | Recently changed workplace | Recruitment platform data |
4.Community operation transformation
Characteristics of highly active real estate communities:
| community type | average conversion rate | Operational focus |
|---|---|---|
| Regional home buying group | 12% | Local supporting information |
| School district room discussion group | 15% | School ranking analysis |
| New house information group | 8% | Limited time offer released |
| Mortgage policy group | 10% | Interpretation of interest rate changes |
5.Old customer referral system
Customer testimonials value data:
| indicator | data | Promotion strategy |
|---|---|---|
| Referral closing rate | 35% | Establish a graded reward system |
| referral cycle | average 23 days | Trigger recall mechanism regularly |
| Recommended quality points | 42% higher than ordinary leads | Accurately locate key people |
3. Key Behavioral Indicators for Determining House Purchase Intention
By analyzing the behavior trajectory of home buyers, the intensity of their home purchase intentions can be accurately identified:
| behavioral hierarchy | Specific performance | intensity of intention |
|---|---|---|
| primary interest | Browse 3 or more properties | 20% |
| active comparison | Collection and comparison of different house types | 40% |
| In-depth investigation | View the same community multiple times | 60% |
| decision preparation | Check loan calculator | 80% |
| Immediate needs | Make an appointment for offline viewing | 95% |
4. Three major strategies to efficiently transform housing purchase demand
1.Accurately touch pain points: Provide solutions based on the specific pain points of the target group. For example, for those who need housing in school districts, we provide early warning services for changes in school zoning.
2.Scenario-based content marketing: Produce home buying guides for different life stages, such as "Newlyweds' Guide to Avoiding House Buying Pitfalls", "Second-Child Families' Complete Guide to House Changing", etc.
3.Data-driven follow-up: Establish a customer intention grading system, adopt differentiated follow-up strategies for customers at different levels, and improve conversion efficiency.
Through the above structured data and methodologies, real estate practitioners can systematically establish a precise customer acquisition system and efficiently find people who really need to buy houses in a fiercely competitive market.
check the details
check the details
en
