How To Setup A Matchmaking Database: Fields, Client Types, Lists & Advanced Search

Tips • April 9, 2026

By Kair Mourtazov, SmartMatchApp Product Specialist

Reading time: 7 minutes

30-Second Summary (TL;DR)

A well-structured matchmaking CRM makes it easy to deliver high-quality matches and scale your operations efficiently.

Align profile fields and match preference fields to power accurate matching
Use client types to organize segments and define matching logic
Automate tags/lists for consistent, hands-free segmentation
Apply AND/OR logic correctly for precise and flexible search results
Save key searches to streamline your team’s daily workflows

When set up correctly, your matchmaking software becomes a scalable matching engine—not just a database.

Who Is This Guide For?

If you are in the business of making meaningful connections, setting up a matchmaking software platform for your business or community correctly is mission-critical. Customizing these core elements to fit your specific use case ensures your platform performs at its best, delivers higher-quality matches, and scales efficiently as your network grows.

This guide is for any organization focused on connecting people, such as:

Dating matchmaking services
Business introduction networks
Mentoring programs
Professional or career networks
Membership associations
Peer and health support groups
Communities

Why Your CRM Setup Determines Your Matching Quality
Profile Fields: The Engine Behind Every Match
Match Preference Fields: How Criteria Drive the Algorithm
Client Types and Sidebar Groups: Organizing a Multi-Segment Database
Lists and Tags: Segmentation That Works on Autopilot
Advanced Search and AND/OR Logic for Precise Filtering
Quick-Reference Setup Checklist
Frequently Asked Questions

1. Why Your Database Setup Determines Your Matching Quality

A matchmaking CRM is built for flexibility — but that flexibility only works in your favour when the underlying structure is correct. The platform adapts to many business models, but it needs accurate, well-organized data to do so.

The three most common problems businesess and communities run into — and the ones this guide is designed to solve:

Searches return poor match results.

This almost always traces back to fields and match preferences that aren't properly aligned. If the algorithm can't compare two data points on opposite sides of a match, it simply won't surface that connection.

The database gets disorganized quickly.

Without consistent client types and tagging rules, profiles pile up without meaningful structure. Filtering becomes unreliable, and your team starts doing work the system should handle automatically.

Segmentation is manual and inconsistent.

If tags are only applied by hand, they'll be inconsistent. Automation fixes this — but only if tagging rules are set up correctly from the start.

This webinar episode, courtesy of the leading matchmaking platform, SmartMatchApp, walks through how to customize your matchmaking CRM database for peak productivity.

2. Profile Fields: The Engine Behind Every Match

What Are Profile Fields?

Profile fields are the fundamental data units inside every client record in a matchmaking CRM. They store everything your team knows about a person and directly inform what the matching engine can compare between profiles.

Profile fields describe who the person is: age, gender, location, industry, education level, relationship status, years of experience, company size, investment capacity — any attribute relevant to your business model.

Field Types Available in Modern Matchmaking Software

Most platforms support a wide range of field formats:

Dropdown (single-select): gender, membership status, country
Dropdown (multi-select): interests, skills, languages spoken
Text input: bio, personal notes, job title
Number: age, income range, years of experience, team size
Date: date of birth, registration date
URL: LinkedIn profile, company website
File upload: résumé, contract, ID, headshot

Most advanced matchmakiung platfroms, such as SmartMatchApp, allow to create an unlimited number of custom fields and group them into logical sections. Fields can also be reordered anytime, so your workflow can evolve without rebuilding your system.

User inteface highliging the ‘Profile Fields’ setting to easily build custom matchmaking profile fields. Courtesy SmartMatchApp

The Client Inspector: Faster Profile Scanning

Once your fields are configured, activate a quick-preview panel (often shown as an eye icon). This allows your team to view up to 10 key fields without opening a full profile.

Pro tip:

Select these fields based on what your team actually checks during matching sessions - not just what feels important to collect. The goal is speed, not completeness.

3. Match Preference Fields: How Criteria Drive the Algorithm

Match preference fields are a separate but equally important layer. While profile fields describe who the person is, match preference fields describe what they are looking for.

Together, these two layers power the matching algorithm.

Examples:

Preferred age range
Preferred location
Required industry
Relationship or engagement type
Budget or investment range
Language preference
Experience level

Match preference fields describe what your client is looking for

User inteface highliging the ‘Match Preference Fields’ setting being used in the matchmaking databse setup. Courtesy: SmartMatchApp.

The Rule That Most Users Miss

If a data dimension exists only as a profile field but has no corresponding match preference field (or vice versa), it cannot be used as a matching criterion. The algorithm needs both sides of the equation.

👉 For example: if you collect "Industry" as a profile field, you also need "Preferred Industry" as a match preference field for that attribute to influence who gets matched with whom.

Whenever you add a new field to your database, ask: 👉 does this need a preference counterpart? If the answer is yes, create both at the same time.

If a data point exists only as a profile field—or only as a preference—it cannot be used for matching.

The system needs both sides.

4. Client Types and Sidebar Groups: Organizing a Multi-Segment Database

What Are Client Types?

Not every contact in your matchmaking database is the same kind of person. The Types system lets you define distinct categories and apply them to profiles — so that the platform treats each segment appropriately. Client types define categories such as:

Individual clients (dating, mentoring, peer support)
Corporate partners or employers
Investors or accelerators (business matching)
Event attendees or applicants
Association or network members
Unscreened leads (pre-approval queue)

Assigning a type to a profile controls three things automatically:

Which fields are visible on that profile
Which submission form is associated with that category
How the matching engine treats them

For instance, paid clients can be matched with each other while unscreened leads are held in a separate queue.

Use types to separate your database in SmartMatchApp (employee, founder, company)

User inteface example, custom Client Types applied in settings inside the matchmaking databse setup. Courtesy: SmartMatchApp

Customizing the Profile Sidebar

Every client profile has a left sidebar that provides an at-a-glance summary when the profile is open. This sidebar is fully customizable — your team decides which fields appear there.

Best practice is to use the sidebar for identity and contact information: name, email, phone number, location, and 2–3 key qualifying attributes. The goal is to answer the question "who is this person?" in under five seconds.

Keep the sidebar to around 10 fields. More than that starts to slow down the review process. Deeper information belongs inside the full profile, not in the sidebar.

The sidebar should answer: “Who is this person?” in under 5 seconds.

Why Types Matter for Matching Logic

Types do more than just organize your database visually. They also define matching boundaries and can be configured so that only certain types are compared against each other — which prevents irrelevant results and keeps your algorithm working on meaningful connections.

For example:

Paid clients match with paid clients
Leads are excluded

This ensures the algorithm focuses only on relevant matches.

If you run a hybrid platform (for example, matching individual clients with corporate partners), types are what allow you to maintain separate field structures, separate forms, and separate matching rules — all within the same database.

5. Lists and Tags: Segmentation That Works on Autopilot

What Are Lists ?

Lists — also referred to as tags — let you group and segment profiles across your database without altering their type, fields, or any other attribute. A single profile can belong to multiple lists simultaneously, making tags a highly flexible segmentation tool.

Tags can be applied manually by your team at any time, or automatically through submission form rules, Zapier integrations, or built-in automation engine.

Practical Tag Categories for Matchmaking

Source tracking — Know where every profile came from Website Form, Referral — [Partner Name], Event — [Event Name], Added via Zapier, Imported from CSV
Status and tier — Know where every client stand: Paid Client, Free Trial, VIP, Inactive, Pending Payment
Funnel stage — Know where every lead is in your pipeline New Lead, Screened, Onboarded, Actively Matching, Paused, Completed
Campaign and outreach — Track engagement and responses: Newsletter Subscriber, Responded to Campaign — Q1 2025, Attended Webinar

Automatic Tagging at the Point of Entry

The most effective tagging strategy is automation at the moment a profile is created. Every submission form can be configured to automatically apply one or more tags when a new profile enters your database.

This means:

A client who fills your website contact form is instantly tagged Website Lead
A profile synced from a Zapier integration is tagged Zapier — [Source Name]
An attendee who registers for an event is tagged Event — [Event Name]

No manual work. No inconsistency. Every profile is correctly categorized from the moment it enters your system.

Using Tags to Manage Matching Pools

Tags aren't just for organization — they're also an active filtering tool during the matching process. You can restrict a match search to profiles that carry a specific tag.

Tags also control matching visibility. For example - only show Paid Client profiles as potential matches), or exclude profiles that carry a tag you don't want included (for example, exclude On Hold or Inactive).

Include: Paid clients
Exclude: On hold, inactive

This creates clean, controlled matching pools without needing separate databases.

This lets you create curated matching pools without needing separate databases or complex workarounds. Lists (tags) let you segment profiles without changing structure. A single profile can belong to multiple lists, making tags extremely flexible.

Use lists to tag your clients and organize your database

Example, how custom Client Lists and Tags are applied in settings inside the matchmaking databse setup. Courtesy: SmartMatchApp

6. Advanced Search and AND/OR Logic for Precise Filtering

An advanced search engine lets you filter your entire database in seconds using any combination of profile fields, match preferences, location, client type, and tags. Results update instantly, and searches can be saved and reused — so your most frequently used filters are always one click away.

Building Compound Searches with Multiple Conditions

The real power of search comes from combining multiple conditions using AND/OR logic. Understanding the difference is critical to getting accurate results.

AND logic narrows results — every condition must be true for a profile to appear. Use AND when you need precision:

Paid Client AND Profile Complete AND Not Yet Matched
Industry: Finance AND Location: New York AND Available for Introduction

OR logic broadens results — any matching condition qualifies a profile. Use OR for wider outreach:

Free Trial OR Lead — Pending Screening
Responded to Campaign A OR Responded to Campaign B

Exclusion logic removes specific profiles from results regardless of other conditions:

Has tag Active but NOT tag On Hold
Has tag Paid Client but NOT tag Matched — Pending Feedback

Common mistake: Combining AND and OR logic in a single search without thinking through the order of operations. If your results seem too broad or too narrow, revisit which conditions are AND and which are OR.

Saving and Reusing Searches

Once you've built a useful filter combination, save it. The matchmaking database stores advanced searches and reapplies them in a single click. Over time, your team builds a library of pre-configured views — one for daily matching reviews, one for follow-up outreach, one for monthly reporting — without rebuilding filters from scratch each time.

What You Can Filter By

Advanced search supports filtering across variety of matching criteria :

Any profile field (dropdowns, numbers, dates, text keywords)
Any match preference field
Client type
Lists and tags (with AND/OR/exclusion logic)
Location (city, region, country, radius)
Profile completeness and activity status
Date ranges (created, last updated, last contacted)

7. Quick-Reference Matchmaking Software Setup Checklist

Use this checklist when setting up or auditing your matchmaking CRM, a proven reference from leading matchmaking platforms like SmartMatchApp, to ensure your database structure is optimized for accurate matching and efficient workflows.

Profile Fields

Fields created for all core client attributes
Fields organized into logical groups
Fields reordered to match team workflow
Client Inspector configured with the 10 most time-critical fields

Match Preference Fields

Preference counterparts created for every filterable profile field
Both sides of each matching dimension confirmed (profile field + preference field)

Client Types

Types defined for each distinct audience segment
Correct fields mapped to each type
Matching boundaries configured (which types match with which)

Lists and Tags

Standard tags defined for source, status, funnel stage, and campaign tracking
Automatic tagging configured on all submission forms
Zapier/API tags defined for every external integration
Tag exclusion rules reviewed for matching pool accuracy

Advanced Search

Common filter combinations built and saved
AND/OR logic verified for each saved search
Exclusion tags applied where needed

8. Frequently Asked Questions

How many custom matchmaking fields can I create in a matchmaking plaform?
Modern matchmaking platforms provide unlimited custom fields and preferences.

Can different client types have different fields?
Yes. It is the main point of the matchmaking process to enable versitile matching.

What is profile vs preference fields?
Profile = who they are. Preference = what they want

How many tags per profile?
Advanced matchmaking platforms provides unlimited lists and tags for the best matching results.

Can matchmaking software use tags to automate the process?
Yes. It is a key feature of a high quality matchmaking engine.

What fields support matching?
Today pretty much al the fields play role in matching. Such as dropdowns, numbers, dates, location, and open text.

Do matchmaking CRM platforms support multiple languages?
Modern platforms such as SmartMatchApp provides multi-language options to their clients worldwide.

Summary

A well-structured matchmaking CRM database is the foundation of effective matching.

When your fields are aligned, your client types are clearly defined, your tags are automated, and your search logic is correct, your system becomes a true extension of your matchmaking process—not just a place to store contacts.

Key principles:

Profile and preference fields must mirror each other
Client types define structure and matching boundaries
Automated tagging eliminates inconsistency
AND/OR logic enables precise filtering

Continue Reading

This guide is part of a series on how communities increase engagement using AI matchmaking software. The full framework covers five proven steps — from building a structured member database, to automating introductions and feedback collection, scaling with automation, and capturing member data with seamless intake forms.

👉 👉 Start with the full framework: How Communities Increase Engagement Using AI Matchmaking Software — 5 Proven Steps

Next Step

If you want to explore how AI matchmaking can be tailored to your community, modern platforms like SmartMatchApp provide end-to-end solutions for managing data, automating introductions, and scaling engagement.

👉 Book a demo to see how it works in your specific use case.