By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.

The Integration Design Framework: Why Great HubSpot Migrations Start With Data Authority, Not Data Transfer

Leon Ibrahim
October 28, 2025

Most HubSpot–Salesforce integration failures aren’t caused by tools or APIs—they happen because teams start syncing data without defining ownership, governance, or behavior rules. When systems connect before data authority is designed, companies create duplicates, corrupt records, lose reporting accuracy, and destroy trust between departments. This article explains why integrations are governance projects—not technical ones—and outlines a five-step framework used by Cremanski & Company to prevent failure: mapping the real data model, defining ownership, designing sync behavior, naming a single integration owner, and testing in a safe environment before production. The result is fewer conflicts, clean data, faster alignment, and successful migrations.

Three days into their HubSpot-Salesforce sync, the VP of Sales notices 8,000 duplicate contacts. Marketing can't find half their leads. RevOps gets panicked Slack messages about "broken" workflows.

Sound familiar?

Here's what happened: The company went all in on licenses and setup costs. But nobody asked the critical question first. Who owns what data, and when?

We've worked with hundreds of companies on HubSpot integrations. Before they turn to us, we see that the pattern is always the same. Teams connect systems first, then figure out the rules later. They debate tools and API limits while ignoring the decisions that actually matter.

The real problem isn't technical. It's about control. Integrations are governance challenges dressed up as tooling projects. Until you see them that way, you'll spend months cleaning up expensive messes.

Why Most Integrations Start Backwards

The Tool-First Trap

Integration projects always start wrong. "Should we use Zapier or native connectors?"

That's not where to begin.

Teams waste weeks testing tools. They try Zapier. Then Workato. Then Make.com. Meanwhile, nobody asks: What data needs to move? Who can change it? What happens when systems disagree?

The result is predictable. Zapier times out on big data sets. The native connector can't handle custom objects. Your API solution ignores field permissions. Now you're switching tools mid-project and burning budget.

Nobody Owns the Data

"Which system is the source of truth—HubSpot or Salesforce?"

This question kills productivity. Two-hour meetings end with "let's discuss offline."

Why? You're asking the wrong question.

Instead, you need to look at alignment and accountability. Then figure out processes. Only then can you move on to answering the right questions: which systems owns which data? When does control transfer?

Without clear ownership rules, every sync conflict becomes a crisis. Sales updates Salesforce. Marketing changes HubSpot. The sync runs. Data corrupts. Teams fight. Trust dies.

The "Figure It Out Later" Disaster

"Do we need a test environment? Can't we just be careful in production?"

If you're asking this, you've chosen to learn the hard way.

Testing in production means this: Your first sync creates 50,000 duplicates. Sales can't find accounts. Marketing emails go to the wrong people. You spend six weeks fixing problems while bosses lose faith.

Five Decisions That Prevent Disasters

Forget about tools for now. You need five decisions first. These prevent 90% of integration failures.

Decision 1: Map Your Real Data Model

Your data model is a contract between systems. It defines how information connects.

Can you draw how Contacts, Companies, and Deals relate? Not HubSpot's way. YOUR way.

This matters because systems think differently. Salesforce has Accounts. HubSpot has Companies. Your "Account Type" field that drives sales? HubSpot might not have anything similar.

Map these before moving data:

  • How objects connect to each other
  • Which fields are required vs optional
  • Data types and validation rules
  • Custom objects and relationships
  • What historical data you actually need

Skip this and you'll discover problems later. Like when your opportunity stages don't match HubSpot's pipeline. Then every sales report breaks.

Cremanski's HubSpot team always starts with data mapping. There's no safe shortcut.

Decision 2: Define Who Controls What

Stop asking "which system is the source of truth?"

Ask this instead: Who controls each piece of data at each stage?

Real ownership rules can look like this (this will look different from company to company):

  • Salesforce owns Accounts after they become Customers
  • HubSpot controls all leads until MQL stage
  • Salesforce manages deal stages 3-5
  • Only HubSpot can change email addresses
  • Only Salesforce can edit contract values

What if someone changes the same record in both systems? Your rules decide who wins. Without rules, you're gambling with your data.

One software client made it simple. HubSpot owned everything until MQL. Then Salesforce took over. Clear handoff. No fights. Clean data.

Decision 3: Design How Data Behaves

Mapping fields is the easy part. The hard part is behavior.

"Half our contacts synced but deals didn't. What happened?"

Simple. Parents sync before children. Contacts exist before Deals. Companies exist before Contacts. Get the order wrong and everything breaks silently.

Define these for each sync:

  • One-way or two-way?
  • Real-time or scheduled?
  • What order do objects sync?
  • What if parent records are missing?
  • How do you match duplicates?

Figure this out now or learn it painfully later.

Decision 4: Name One Owner

"Who owns the integration—IT, RevOps, Marketing, or Sales?"

One person. With a name. On the documentation.

Not "the team." Not "IT and Marketing together." One human who owns sync health.

They need:

  • Technical skills to read error logs
  • Power to tell teams "no"
  • Trust from sales and marketing
  • Love for documentation

No single owner means orphaned integration. Problems hide for weeks. Documentation dies. Knowledge leaves when people quit.

Decision 5: Test in a Safe Place

"We started syncing and have 50,000 duplicates. Can we undo?"

No. You can only clean up. Slowly. Painfully. Publicly.

Testing saves you from:

  • Finding your ERP can't export relationships
  • Learning special characters break syncs
  • Discovering your dedupe logic loops forever
  • Watching two-way sync corrupt data

Minimum test environment:

  • Copy your real data structure
  • Test 100+ records per object
  • Break things on purpose
  • Check custom relationships
  • Run parallel for two weeks

You can end up with widely varying scenarios. Company A tests for 3 weeks, finds a couple of major problems and fixes them safely. Company B skips testing to "save time" and is still cleaning up nine months later. We have had clients come to us after a dreadful launch with no testing.

When Two Systems Make Sense

"Should we keep both Salesforce and HubSpot?"

Sometimes yes. If each system does something the other can't.

Maybe Salesforce handles complex enterprise deals. HubSpot runs marketing. Or HubSpot manages simple sales while your ERP does fulfillment.

Two systems can work. But only with strict ownership rules. Otherwise you have two versions of truth fighting each other.

Real Success Story:

A manufacturer had €1M+ deals in Salesforce. Marketing needed automation.

The solution: HubSpot owns contacts until they qualify. Then Salesforce takes over. Simple handoff. Clear rules.

Result: 40% better lead tracking. Zero conflicts. Happy teams.

How? They spent four weeks designing before connecting anything. Cremanski's framework guided every decision.

The Phase Everyone Skips (But Shouldn't)

"How long does migration take?"

Wrong question. Ask: "How long does SUCCESSFUL migration take?"

Add three weeks before moving any data. For planning. For design. For decisions.

Yes, it feels slow. Yes, people will complain. But look at the math:

  • Planning cost: 3 weeks of controlled work
  • No planning cost: 3-6 months of cleanup and angry users

Planning isn't delay. It's disaster prevention. You document decisions now instead of making them during a crisis.

Red Flags That Mean Stop

Check yourself before you wreck yourself. More than three red flags? Don't sync yet.

Data Model Warnings:

  • Can't draw your data relationships quickly
  • Haven't decided about data cleaning
  • Don't know if HubSpot fits your needs

Ownership Warnings:

  • Still arguing about "source of truth"
  • No plan to stop manual changes
  • Multiple teams claim the same data

Management Warnings:

  • Nobody named as owner
  • "Document later" mindset
  • No audit trail plan

Testing Warnings:

  • Thinking about production testing
  • No test environment ready
  • No written test plan

These aren't suggestions. They're disaster predictors.

Your 30-Day Success Plan

Want to avoid joining the failure club? Here's your month-by-month plan:

Week 1-2: Map Your Data

  • Draw object relationships
  • List field requirements
  • Find custom objects
  • Decide what to keep

Week 2-3: Assign Ownership

  • Define who controls what
  • Mark handoff points
  • Write conflict rules
  • Get everyone's agreement

Week 3-4: Design the Technical Parts

  • Create sync diagrams
  • Write behavior rules
  • Build test environment
  • Plan test scenarios

Week 4: Validate Everything

  • Run full tests
  • Document problems
  • Train your owner
  • Write runbooks

This isn't red tape. It's engineering. Cremanski has used this exact process with over hundreds of companies. It works.

Need help? Cremanski's HubSpot team turns complex migrations into smooth transitions. 

Design first. Connect second. Thank yourself later.

Your future self will appreciate the boring planning work you do today. Your team will trust the system. Your data will stay clean.

The choice is yours. Rush now, suffer later. Or plan now, succeed forever.

Make the smart choice.

Read the full report

Who We Serve

Presenting our distinguished clientele! We collaborate closely with visionary B2B tech and software companies, intricately shaping their comprehensive Revenue Architecture. Take a look at who we have already served.

Have a Question?

You have questions? Our Founder and Managing
Partner Michael is looking forward to hearing from
you.

Michael Jäger
Managing Partner