How to Create a Simple Database Structure.
A good database structure should make contacts easy to understand, find and follow up. Keep the main groups simple, then use tags and filters for more detail.
A good database structure should make the CRM easier to use.
It should help you quickly understand:
Who the contact is
Their relationship with the agency
What they may need
When they should be followed up
The mistake is trying to create a separate category for every possible situation.
Keep the main structure simple, then use tags, fields and filters for the detail.
Start with your main contact groups.
Your core groups might include:
Sellers
Current vendors or people actively preparing to sell.
Future sellers
Property owners who have indicated they may sell later.
Past sellers
Previous vendors who have sold through the agency.
Buyers
People currently looking to purchase.
Past buyers
People who have previously purchased through the agency.
Investors
Contacts who own or are looking to purchase investment property.
Landlords
Property owners with rental properties.
Developers
Developers, builders or project contacts relevant to the agency.
Referrers
People who regularly refer business or have introduced clients.
Local homeowners
Property owners in your core area who may not currently be active sellers.
Use activity or opportunity groups where useful.
Some contacts may also need to be identified by what has happened.
Examples include:
Appraisal contacts
Open-home attendees
Expired opportunities
Withdrawn properties
Long-term nurtures
These may be categories, tags or opportunity stages depending on how your CRM works.
Record the strength of the opportunity.
Some agencies also segment contacts by timing or likelihood.
For example:
Hot
There is an active opportunity now.
Warm
There is genuine interest, but the timing is not immediate.
Long-term
The opportunity may be months or years away.
These labels only work if the team agrees on what each one means.
Avoid calling everyone “hot” simply because they once made an enquiry.
Add geographic segmentation.
Location is particularly useful in real estate.
You may want to identify contacts by:
Suburb
Postcode
Farm area
School zone
Estate
Apartment building
This can help with local prospecting, market updates and property matching.
Where possible, use property data or location fields rather than creating dozens of manual categories.
Property-type segmentation.
You may also want to identify contacts connected to particular property types.
For example:
Apartments
Family homes
Townhouses
Acreage
Luxury property
Development sites
Investment property
This can be useful for both buyer matching and future seller communication.
Price-range segmentation.
Price range can also be useful, particularly for buyers.
Examples might include:
Under $750,000
$750,000 to $1 million
$1 million to $1.5 million
$1.5 million plus
These ranges should suit your local market.
If your CRM already has structured buyer price fields, use those rather than creating extra tags.
Use tags for interest and intent.
Tags are useful for information that cuts across the main categories.
Examples include:
Downsizer
First home buyer
Relocating
Renovator
Off-market interest
Wants an appraisal
Selling within 12 months
Needs to sell before buying
Investor
Developer
A contact can have several tags without needing several separate categories.
A simple example.
A contact might be structured like this:
Category: Future seller
Property: 24 Smith Street, Belmont
Opportunity: Warm
Location: Belmont
Property type: Family home
Tags: Downsizer, selling within 12 months
That gives you useful detail without making the database complicated.
Keep the structure consistent.
Whatever system you choose, the whole team needs to use it the same way.
Agree on:
Main categories
Opportunity stages
Common tags
Naming conventions
When each should be used
Review the structure from time to time and remove anything that is no longer useful.
The best database structure is not the most detailed one.
It is the one your team can understand and use consistently.