100+ datasets found
  1. d

    NEW HOMEOWNERS DATA - US DATABASE OF ALL HOMEOWNERS. MORE THAN 130 MILLION...

    • datarade.ai
    .json, .xml, .csv
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    VentiveIQ, NEW HOMEOWNERS DATA - US DATABASE OF ALL HOMEOWNERS. MORE THAN 130 MILLION DATBASE OF PROPERTIES INCLUDING, HOME, COMMERCIAL PROPERTY. [Dataset]. https://datarade.ai/data-products/new-homeowners-data-us-database-of-all-homeowners-more-tha-ventiveiq
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset authored and provided by
    VentiveIQ
    Area covered
    United States of America
    Description

    Multiple advantages with Home Owner Data Set: Increase campaign ROI with personalized and targeted engagements. Utilize predictive real estate data attributes such as home value, purchase date, property descriptors, and mortgage information. Focus resources on high-value prospects and their preferences Maximize conversions with personalized marketing campaigns featuring relevant real estate intelligence. Engage your target audience with messaging tailored to their interests and needs.

  2. l

    Top States With Recent New Homeowners Data

    • leadsplease.com
    Updated May 7, 2025
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    Leadsplease (2025). Top States With Recent New Homeowners Data [Dataset]. https://www.leadsplease.com/email-lists/new-homeowner
    Explore at:
    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Leadsplease
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    Leadsplease
    Description

    Find people who have recently purchased a home in any neighborhood anywhere in the USA. This covers only homeowners - not renters. Filter by people who moved in-state or out-of-state, in-city or out-of-city, in-zip-code or out-of-zip-code. Also filter by dwelling type and recency of their move.

  3. d

    New Homeowner Contact Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
    Updated Aug 18, 2023
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    BatchData (2023). New Homeowner Contact Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/new-homeowner-contact-data-usa-coverage-74-right-party-c-batchdata
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    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    BatchData
    Area covered
    United States
    Description

    New Homeowner Data is a subset of our comprehensive property intelligence database that can be segmented by specific property criteria, household demographics, mortgage, and real estate portfolio information.

    Companies in the home services, financial products, and consumer products industries use BatchData to identify new homeowners who have purchased a property in the last 90 days and uncover their direct phone number, email, and mailing address for timely marketing of products and services new homeowners need. New homeowner data can also be segmented property type (residential real estate or commercial real estate), length of ownership, owner occupancy status, and more!

    New homeowner data is available in a variety of data delivery and data enrichment modes: API (you pull data from us using an API), webhook (we push data to you using an API), AWS S3 upload (we deliver the data to you), S3 download (you download the data from our S3 bucket), SFTP.

    BatchData is both a data and technology solution helping companies in and around the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate contact information for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, and power their products and services.

  4. d

    Alesco 30 Day New Mover (New Homeowner) Data US based emails, phones and...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jul 31, 2023
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    Alesco Data (2023). Alesco 30 Day New Mover (New Homeowner) Data US based emails, phones and addresses of people who have moved in the last 30 days. Licensing Available! [Dataset]. https://datarade.ai/data-products/alesco-30-day-new-mover-database-us-based-with-emails-and-p-alesco-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 31, 2023
    Dataset authored and provided by
    Alesco Data
    Area covered
    United States of America
    Description

    Harness the Power of Fresh New Homeowner Audience Data

    Our comprehensive New Homeowner Audience Data file is a meticulously curated compilation of Direct Marketing data, enriched with valuable Email Address Data. This essential resource offers unparalleled access to Consumers and Prospects who have recently moved into new homes or apartments.

    Averaging an impressive 1.1 million records monthly, our dataset is continually updated with the latest information, including a dedicated 30-day hotline file for the most recent movers. This ensures you're always working with the freshest and most relevant data.

    With an average income surpassing $55K and a high concentration of families, these new homeowners present a prime opportunity for businesses across various sectors. From healthcare providers and home improvement specialists to financial advisors and interior designers, our data empowers you to identify and reach your ideal customer.

    Benefit from our flexible pricing options, allowing you to tailor your data acquisition to your specific business needs. Choose from transactional purchases or opt for annual licensing with unlimited use cases for marketing and analytics.

    Unlock the full potential of your marketing campaigns with our New Homeowner Audience Data.

  5. Home Warranty Data | 1.6MM Opt-In Consumer Records

    • data.mcgrawnow.com
    Updated Nov 5, 2024
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    McGRAW (2024). Home Warranty Data | 1.6MM Opt-In Consumer Records [Dataset]. https://data.mcgrawnow.com/?page=2
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    Dataset updated
    Nov 5, 2024
    Dataset provided by
    McGraw Hillhttp://mheducation.com/
    Authors
    McGRAW
    Area covered
    United States
    Description

    McGRAW offers 1.6 million high-quality opt-in home warranty leads that connect providers with homeowners actively seeking warranty solutions. Our real-time and aged leads come from exclusive, non-incentivized leads tailored for effective outreach and scalable solutions.

  6. d

    New Homeowner Data | USA Coverage | 74% Right Party Contact Rate | BatchData...

    • datarade.ai
    Updated Jun 11, 2023
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    BatchData (2023). New Homeowner Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/professional-data-services-access-600-data-points-on-160m-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset authored and provided by
    BatchData
    Area covered
    United States
    Description

    Set Up We’ll help ensure you’re set up to get the data you need, how you need it. We’ll help you through provisioning the extraction, enrichment, formatting, delivery/update schedule, and reporting around your data. With hundreds of unique data points available, the information you need to find leads fast is at your fingertips - new homeowner data, home ownership data, B2C contact data and more, built for professional services companies.

    Custom Development We provide technical resources to support integration and delivery requirements specific to your business needs, augmenting developer resources to keep your team focused on other tasks.

    Enrichment Services Enrichment services improve the accuracy, completeness, and depth of your dataset by regularly filling in blank values, and updating outdated records. We’ll help ensure that the specific data points, update candances, and replacement rules fit your GTM strategy.

    Analysis Healthcheck We’ll audit your organization’s data health and usage strategy, and make sure you’re focused on the right KPIs and performance metrics.

    Implementation Support From technical architecture to scheduled and flexible delivery of data in multiple formats, we make it easy to realize the value of better data.

    Data Blending & Enhancement Combine multiple data sources to create a single, new dataset to standardize operations and enable better reporting.

  7. m

    190K Weekly Movers, Pre-Movers & Under Contract MLS Postal Mailing List |...

    • data.mcgrawnow.com
    Updated Jan 18, 2025
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    McGRAW (2025). 190K Weekly Movers, Pre-Movers & Under Contract MLS Postal Mailing List | Home Ownership Data [Dataset]. https://data.mcgrawnow.com/?page=3
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    Dataset updated
    Jan 18, 2025
    Dataset authored and provided by
    McGRAW
    Area covered
    United States
    Description

    The McGRAW 190K Weekly Movers, Pre-Movers & Under Contract files provide detailed data on individuals preparing to move, actively moving, or under contract. Updated weekly, monthly, and annually directly from the MLS and Zillow Weekly Realtor File.

  8. S

    Property Assessment Data from Local Assessment Rolls

    • data.ny.gov
    • datasets.ai
    • +3more
    application/rdfxml +5
    Updated May 7, 2025
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    Department of Taxation and Finance (2025). Property Assessment Data from Local Assessment Rolls [Dataset]. https://data.ny.gov/Government-Finance/Property-Assessment-Data-from-Local-Assessment-Rol/7vem-aaz7
    Explore at:
    json, application/rssxml, tsv, xml, application/rdfxml, csvAvailable download formats
    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Department of Taxation and Finance
    Description

    This dataset is comprised of the final assessment rolls submitted to the New York State Department of Taxation and Finance – Office of Real Property Tax Services by 996 local governments. Together, the assessment rolls provide the details of the more than 4.7 million parcels in New York State.

    The dataset includes assessment rolls for all cities and towns, except New York City. (For New York City assessment roll data, see NYC Open Data [https://opendata.cityofnewyork.us])

    For each property, the dataset includes assessed value, full market value, property size, owners, exemption information, and other fields.

    Tip: For a unique identifier for every property in New York State, combine the SWIS code and print key fields.

  9. w

    New Mexico Property Tax Districts

    • data.wu.ac.at
    • s.cnmilf.com
    • +3more
    csv, excel, geojson +9
    Updated Jun 25, 2014
    + more versions
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    Earth Data Analysis Center, University of New Mexico (2014). New Mexico Property Tax Districts [Dataset]. https://data.wu.ac.at/schema/data_gov/ZWFkZmExODEtNzhmYy00YTVhLThlZGUtMjJiOTJlZDI3Y2Zh
    Explore at:
    html, json, excel, xml, csv, wms, kml, gml, shp, zip, geojson, wfsAvailable download formats
    Dataset updated
    Jun 25, 2014
    Dataset provided by
    Earth Data Analysis Center, University of New Mexico
    Area covered
    c2800f800baeb4d11ae911e239b180b05e55efd3
    Description

    This layer represents boundaries for New Mexico tax district "OUT" categories and incorporated/municipal "IN" categories as identified on the "Certificate of Tax Rates" published for each of the State's thirty-three counties by the Department of Finance and Administration's Budget and Finance Bureau. Initial municipal boundaries acquired from RGIS and based on layers developed by the Earth Data Analysis Center (EDAC) at UNM. TRD revisions have been made by acquiring updated boundaries from data stewards at local jurisdictions. Data is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. Known issues: This data layer may contain unintended inaccuracies and omissions.

  10. l

    Top States With Recent New Movers Data

    • leadsplease.com
    Updated Apr 22, 2025
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    Leadsplease (2025). Top States With Recent New Movers Data [Dataset]. https://www.leadsplease.com/email-lists/new-mover
    Explore at:
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Leadsplease
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    Leadsplease
    Description

    Find people who have recently moved into any neighborhood anywhere in the USA. This covers both renters and homeowners. Filter by movers in-state or out-of-state, in-city or out-of-city, in-zip-code or out-of-zip-code. Also filter by dwelling type and recency of their move

  11. p

    Homeowners' associations Business Data for New Hampshire, United States

    • poidata.io
    csv, json
    Updated Aug 27, 2025
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    Business Data Provider (2025). Homeowners' associations Business Data for New Hampshire, United States [Dataset]. https://www.poidata.io/report/homeowners-association/united-states/new-hampshire
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 27, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    New Hampshire
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 20 verified Homeowners' association businesses in New Hampshire, United States with complete contact information, ratings, reviews, and location data.

  12. Annual New Property Prices - Dataset - data.gov.ie

    • data.gov.ie
    Updated Mar 5, 2006
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    data.gov.ie (2006). Annual New Property Prices - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/annual-new-property-prices
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    Dataset updated
    Mar 5, 2006
    Dataset provided by
    data.gov.ie
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    National and Other Areas figure changed for 2015 on 27/6/15 as revised data received from Local Authorities Prices includes houses and apartments measured in €

  13. NZ Properties: Property-Untitled Land Reference (pilot)

    • data.linz.govt.nz
    csv, dbf (dbase iii) +4
    Updated Dec 10, 2024
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    Land Information New Zealand (2024). NZ Properties: Property-Untitled Land Reference (pilot) [Dataset]. https://data.linz.govt.nz/table/118830-nz-properties-property-untitled-land-reference-pilot/
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    dbf (dbase iii), mapinfo mif, geopackage / sqlite, csv, geodatabase, mapinfo tabAvailable download formats
    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    New Zealand
    Description

    This pilot dataset provides a non-spatial relationship between unit_of_property_id and untitled_land_id from the NZ Property Untitled Land (pilot) dataset. This table can be used to connect to parcels using the NZ Untitled Land-Primary Parcel Association List. This table provides a PDMF-compliant link between property and untitled land record.

    The term "Untitled Land" has been chosen to represent land for which no known record of title exists. Title to the land may exist, but if so, it is unknown or unrecorded. The administrator of this land may be evidenced by records other than a title, such as a gazette notice pursuant to a statutory action.

    The land parcels incorporated in an untitled land record may be the same as those that are incorporated in a title. Frequently such titles effectively constitute a package of rights to resources on the land, rather than the land itself, which for this purpose we consider to remain untitled until a title is issued for it.

    While efforts have been made to address accuracy and data quality, Toitū Te Whenua LINZ does not provide a guarantee that there is no existing title to the land incorporated in an untitled land record.

    The data is updated on a weekly basis.

    Related tables Please refer to the NZ Properties Data Dictionary for detailed metadata and information about this table and its relationships to other tables in this collection.

  14. d

    Alesco New Homeowner Data - 208K+ US based addresses of people who have...

    • datarade.ai
    .csv, .xls, .txt
    Updated Jun 20, 2024
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    Alesco Data (2024). Alesco New Homeowner Data - 208K+ US based addresses of people who have purchased a home in the last 30 days. Licensing Available! [Dataset]. https://datarade.ai/data-products/alesco-new-homeowner-data-us-based-addresses-of-people-who-alesco-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jun 20, 2024
    Dataset authored and provided by
    Alesco Data
    Area covered
    United States of America
    Description

    Averaging 200,000 records per month, this file of people who recently purchased a new home is a multi-sourced compilation and is one of the most complete new homeowner files available in the market.

    With an average income of $90,000+ and a high presence of children, these new homeowners have the need for multiple products and services in their new location, including medical professionals, home improvement, furniture, accountants, lawyers, banks and interior designers.

    Flexible pricing available to meet all your business needs. Data is available on a transactional basis, or for yearly licensing with unlimited use cases for marketing and analytics.

    B2C Contact Data Prospect Data Direct Marketing Data

  15. F

    Homeownership Rate in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 28, 2025
    + more versions
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    (2025). Homeownership Rate in the United States [Dataset]. https://fred.stlouisfed.org/series/RHORUSQ156N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q2 2025 about homeownership, housing, rate, and USA.

  16. p

    Homeowners' Associations in New Jersey, United States - 79 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 27, 2025
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    Poidata.io (2025). Homeowners' Associations in New Jersey, United States - 79 Verified Listings Database [Dataset]. https://www.poidata.io/report/homeowners-association/united-states/new-jersey
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 27, 2025
    Dataset provided by
    Poidata.io
    Area covered
    New Jersey, United States
    Description

    Comprehensive dataset of 79 Homeowners' associations in New Jersey, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  17. Residential property buyers: Demographic data, first-time home buyer status,...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Dec 9, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Residential property buyers: Demographic data, first-time home buyer status, and price-to-income ratio [Dataset]. http://doi.org/10.25318/4610006201-eng
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    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

  18. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  19. T

    United States New Home Sales

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 25, 2025
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    TRADING ECONOMICS (2025). United States New Home Sales [Dataset]. https://tradingeconomics.com/united-states/new-home-sales
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Aug 25, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1963 - Jul 31, 2025
    Area covered
    United States
    Description

    New Home Sales in the United States decreased to 652 Thousand units in July from 656 Thousand units in June of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  20. d

    Revised Notice of Property Value (RNOPV)

    • catalog.data.gov
    • data.cityofnewyork.us
    • +3more
    Updated Sep 2, 2023
    + more versions
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    data.cityofnewyork.us (2023). Revised Notice of Property Value (RNOPV) [Dataset]. https://catalog.data.gov/dataset/revised-notice-of-property-value-rnopv
    Explore at:
    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Description

    Every January, Finance mails New York City property owners a Notice of Property Value (NOPV). This important notice has information about your property’s market and assessed values. Finance determines your property’s value every year, according to State law. The Cityʼs property tax rates are applied to the assessed value to calculate your property taxes for the next tax year. You get your first tax bill for the year in June. If you believe the values or property descriptions on the NOPV are not correct.

Share
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TwitterTwitter
Email
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Close
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VentiveIQ, NEW HOMEOWNERS DATA - US DATABASE OF ALL HOMEOWNERS. MORE THAN 130 MILLION DATBASE OF PROPERTIES INCLUDING, HOME, COMMERCIAL PROPERTY. [Dataset]. https://datarade.ai/data-products/new-homeowners-data-us-database-of-all-homeowners-more-tha-ventiveiq

NEW HOMEOWNERS DATA - US DATABASE OF ALL HOMEOWNERS. MORE THAN 130 MILLION DATBASE OF PROPERTIES INCLUDING, HOME, COMMERCIAL PROPERTY.

Explore at:
.json, .xml, .csvAvailable download formats
Dataset authored and provided by
VentiveIQ
Area covered
United States of America
Description

Multiple advantages with Home Owner Data Set: Increase campaign ROI with personalized and targeted engagements. Utilize predictive real estate data attributes such as home value, purchase date, property descriptors, and mortgage information. Focus resources on high-value prospects and their preferences Maximize conversions with personalized marketing campaigns featuring relevant real estate intelligence. Engage your target audience with messaging tailored to their interests and needs.

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