How the Multi-Table Data Model Works in Brevo (Explained Simply)
SEO Meta Title: How the Multi-Table Data Model Works in Brevo | Simple Explained Guide
SEO Meta Description: Learn how Brevo’s multi-table data model actually works. A clear, simple, and practical breakdown of entities, relationships, segmentation, syncing, and analytics for high-quality data decisions.
Brevo’s multi-table data model is one of the most underrated but powerful features inside the entire platform. Most marketers don’t understand it, sales teams underutilize it, and business owners don’t realize how much money they’re losing by running everything from a flat, messy contact list.
In reality, the multi-table model is the foundation that powers clean segmentation, stronger automation, unified analytics, and reliable customer insights. If you want better targeting, better triggers, and more profitable campaigns, this is the structure that makes it possible.
KEY TIP: The multi-table model is not “advanced tech.” It’s simply a structured way to keep your Brevo data clean, organized, and actionable.
Why the Multi-Table Model Matters (Even if You’re Not Technical)
The biggest mistake beginners make is assuming all contacts belong in one list with endless custom fields. That approach works only if your business is small, simple, and unscalable. The moment you add:
- multiple products
- multiple sales funnels
- multiple customer types
- multiple events or behaviors
Your “single-table” contact list becomes impossible to manage.
The multi-table model fixes all of that by separating your data into meaningful entities. Instead of stuffing everything inside one contact, you structure it like a real business.
WHY IT MATTERS: Better structure = better segmentation = better automation = more revenue.
The Core Elements of Brevo’s Multi-Table Data Model
Think of the model as multiple connected tables that each store one type of information. The main components are:
1. Contacts Table
This contains your main subscribers, leads, and customers. Every person gets one row. This is the “center” of the data model.
2. Companies Table
If you run B2B, each company gets its own row. One company can be linked to multiple contacts.
3. Deals / Pipelines Table
Every ongoing opportunity is its own row. A deal belongs to one contact or one company.
4. Events Table
All behaviors—page visits, purchases, email opens, automation triggers—are stored here.
5. Conversations / Inbox Table
Every chat, email, or conversation thread is stored separately but linked to the contact.
STRUCTURE MATTERS: Each table exists to reduce clutter inside your main contact record and keep data logically separated.
How These Tables Connect (The Relationship Model)
Brevo uses three relationship types:
1. One-to-One
A contact may have ONE associated default field group. Example: contact → address.
2. One-to-Many
This is where the magic happens. Examples:
- One contact → many deals
- One contact → many events
- One company → many contacts
3. Many-to-Many
Brevo uses tags and segments to simulate this relationship.
REAL IMPACT: These relationships allow automation flows to trigger from specific events, not generic behaviors.
Why the Multi-Table Model Is Better Than a Simple List
| Simple List | Multi-Table Model |
|---|
| Flat, messy structure | Organized and scalable |
| Hard to segment | Advanced segmentation becomes easy |
| Bad reporting | Accurate dashboards |
| Limited automation | Smarter event-driven flows |
| Hard to maintain | Clean and predictable |
This is the difference between running a “newsletter list” and running a real marketing engine.
Practical Example: An E-commerce Store
Let’s say you have 10,000 buyers. With a simple list, you’d only see email + a few custom fields. But with a multi-table setup:
- Contact record → name, email, opt-in info
- Events table → each purchase is a separate row
- Products table → each SKU is structured
- Deals table → high-value orders are tracked
- Segments → created automatically from behavior
This means you can automatically create a segment like:
“Contacts who purchased a product in the last 30 days AND viewed a product but didn’t check out this week.”
Practical Example: A SaaS Business
SaaS companies benefit even more:
- Contact → user account
- Company → corporate customer
- Events → feature usage, logins, trial start
- Deals → upgrades and renewals
Now your automation becomes powerful:
- “User hasn’t logged in for 7 days → send activation email.”
- “User triggers event X → unlock onboarding steps.”
- “Deal moves to ‘Negotiation’ → notify sales.”
The Real Power: Segmentation + Automations + Analytics
Once your data is structured, the real fun begins.
1. Advanced Segmentation
You can create segments like:
- users who viewed 3 product pages
- customers who made 2+ purchases
- leads who requested a demo but didn’t convert
2. Event-Driven Automation
Automations can be triggered from table-level events.
3. Unified Analytics
You get dashboards that actually make sense—because the data model is organized.
If your segmentation sucks, your automation will always suck. Fix the data model, and everything improves automatically.
How to Actually Set Up the Multi-Table Model in Brevo
STEP 1: Clean Your Existing Contacts
- Remove duplicates
- Fix incorrect fields
- Standardize naming
STEP 2: Build Your Entities (Tables)
- Contacts
- Companies (if B2B)
- Deals
- Events
STEP 3: Map Fields Properly
This is where most people mess up. Every field MUST belong to the correct entity.
STEP 4: Sync Your Data Sources
Integrate:
- Shopify / WooCommerce
- CRM
- Payment platform
- SaaS backend
STEP 5: Build Segments From Your Table Logic
Use:
- events
- tags
- deal stages
- company filters
What NOT to Do (Beginner Mistakes)
- Creating too many tables
- Using custom fields instead of events
- Mixing personal + business data
- Not using tags and segments together
RULE: If something repeats, it belongs in its own table. Not in a custom field.
Final Verdict
Brevo’s multi-table data model is the backbone of every clean, scalable, profitable marketing system. Whether you’re running e-commerce, SaaS, coaching, B2B, or services — this structure gives you predictable, clean, and automation-ready data.
If you want better segmentation, stronger automation, and real analytics, the multi-table model is not optional. It’s required.
Your Next Steps
- Map your contact + company structure
- Define events you want to track
- Create segments from behaviors, not guesses
- Rebuild automation using event triggers
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