Real Intent
  • Real Intent
  • Onboarding Documents
    • 📑Data Dictionary
    • 💻Onboarding Videos
      • Decoding the Intent Categories
      • Are the Personal Information Verified?
      • How are Location Insights Determined?
      • AI Powered Insights
      • How to Avoid Spam Emails?
      • Turn Conversations to Conversions
    • ❓FAQs
  • Integration Support
    • 🟡Follow Up Boss
    • 🔵kvCORE
    • 🟢GoHighLevel
    • 🪝Webhook
    • 🌐Other Integrations
      • Lofty
      • Propertybase GO
      • Real Geeks
      • Realty Juggler
      • Wise Agent
  • Best Practices
    • 📝Strategies & Tips
      • How To Set Up SPF, DKIM, DMARC
      • Get Traffic to Your Website Using SEO
      • How to Optimize a Facebook or Google Pay-Per-Click Campaign
      • Email Warmup Techniques and Boosting Sender Domain
      • The DO's and DONT's of Email Marketing: CanSpam, DKIM, SPF, Email Tools, and More
      • What is Consumer Intent?
      • Marketing Automation for Real Estate Agents
      • Lead Generation and Pipeline Automation for Real Estate Agents
      • Measuring Lead Source ROI: Tracking & Analysis
    • 📬Scripts
      • Approach Scripts
      • Additional Scripts
    • ❤️Founders' Picks
  • Featured Videos
    • Get ChatGPT To Recommend You As A Realtor
    • How To Turn Likes Into Leads
    • Run Facebook Ads
    • Facebook Retargeting Ad Strategy for Realtors
    • Rank As #1 Realtor In Your Area On Google for Free
    • Open House Strategies That Converts
    • How To Win Luxury Listing Presentations
    • Finding Your Niche in Real Estate
    • Customize Drip Campaigns with ChatGPT
  • Blog Articles
    • The FCC 1-to-1 Consent Update: How Will It Impact Your Marketing Strategy in 2025?
    • Leveraging Emotional Connection in Real Estate Negotiations
    • How Intent Data Reveals Your Buyer's Decision-Making Style
    • Uncovering the Unconscious Patterns Behind Real Estate Choices
    • Unlocking Hidden Demand in Niche Real Estate Markets
    • Anticipate and Address Buyer Resistance Using Intent Data
    • How Intent Data Helps You Anticipate Concession Requests
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On this page
  • Intent Categories
  • Personal Information Columns
  • Location Data
  • Demographic Information
  • Homeownership and Financial Information
  • MD5 Hash (Hashed Email)

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  1. Onboarding Documents

Data Dictionary

This document provides a detailed breakdown of Real Intent’s lead data, designed to help real estate professionals connect with motivated buyers and sellers. It covers intent-based categories, verifie

Intent Categories

Pre Mover

Indicates visits to moving-related websites (e.g., U-Haul, Public Storage). Users have shown intent to move.

Broker and Agent

Represents visits to large brokerage websites (e.g., eXp Realty, Century 21), suggesting a user is seeking a real estate broker or agent.

Educational Content for Real Estate

Users visiting educational websites for first-time homebuyers or looking for information on mortgages (e.g., HELOC loans, FHA loans). Not necessarily first-time buyers but researching financing or housing options.

Mortgage

Visits to mortgage-related websites (e.g., Rocket Mortgage, LendingTree).

Residential

Represents visits to real estate listing websites (e.g., Zillow, Redfin), indicating intent to purchase property.

Sellers

Indicates visits to websites where users are searching for information on the value of their house, a sign of potential selling interest. This category is less frequent but very valuable.

Note:

  • Each intent category is marked with an "X" in the Google Sheet if the individual has visited a related website, showing their interaction within that specific category.

  • For a user to be included in the data, they must have shown activity on at least two different occasions within the same category.

  • The data provided is no more than 7 days old at the time it is sent out, ensuring that the leads are fresh and relevant.


Personal Information Columns

First Name

The individual's first name collected from the user data.

Last Name

The individual's last name.

Emails (Up to 3):

Email addresses collected based on the user’s activity online. All emails undergo SMTP validation to ensure they are active and valid.

If an email is absent, it is likely scrubbed due to invalidity.

Phone Number (Up to 3)

Phone numbers validated to ensure they are active and correct.

Do Not Call List

True: The number is on the Do Not Call List (cannot be contacted for cold calls).

False: The number is not on the Do Not Call List (safe to contact).


Location Data

Address

Represents the residence of the individual.

City, State, ZIP Code

Basic geographical information to target leads by location.

ZIP Code

Useful for campaigns targeting specific ZIP codes.


Demographic Information

Gender

This field captures the gender of the individual, providing insight into household dynamics.

Age

This field indicates the individual’s age, typically focusing on older demographics who are more likely to opt into data collections.

Children

This binary data point indicates whether children are present in the household:

  • 1 (Yes): There are children in the household.

  • 0 (No): There are no children in the household. This data is crucial for targeting family-oriented properties or communities.


Homeownership and Financial Information

Homeowner Status

This field indicates whether the individual owns a home. It is particularly significant for identifying potential sellers, as homeowners may be considering selling their property, upgrading, or downsizing.

Income Range

Provides a household income range, offering insights into the financial capacity of the individual.

Marital Status

Contains information on the individual’s marital status, indicating whether they are married or single.

Net Worth

This field provides an estimate of the individual’s net worth. It helps agents assess the financial stability and purchasing power of potential clients, allowing for more targeted and relevant service offerings.

Occupation

Captures the individual’s current occupation, if available. This information can offer insights into the individual’s lifestyle and financial capacity, aiding agents in tailoring their approaches and property recommendations.


MD5 Hash (Hashed Email)

This field contains a unique identifier for each individual, achieved through hashing their email address. This hashed email allows for targeted digital advertising, enabling agents to run campaigns specifically aimed at the individual’s household across connected devices (e.g., Amazon Fire, Google Chrome, Safari) or custom audience targeting on platforms like Facebook. By using the MD5 hash, agents can respect privacy while effectively reaching their target audience with personalized ads.

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