Workflow diagram: CRM A and CRM B exchange Contacts, Accounts, and Deals through a two-way sync, ending at a No Conflicts badge.
Sales / Marketing

HubSpot Salesforce Sync Automation

Keep HubSpot and Salesforce in perfect sync — in real time.

Two systems, one record

Consistency

Contacts, accounts, and opportunities agree across both platforms instead of diverging between syncs.

No sync loops

Stable data

Field ownership is decided up front, so bidirectional sync converges rather than overwriting in circles.

Conflicts surface

Visible disagreements

When both sides change the same field, the conflict is recorded and resolved by rule rather than by timing.

One governed workflow across systems that never talked.

Who it's for
Revenue operations teams running marketing in one platform and sales in another, needing both to agree.
What it does
A bidirectional integration that keeps contacts, accounts, and pipeline consistent with explicit ownership per field.
Systems involved
Your marketing automation and CRM platforms — connected through the REST Client, with dedicated activities built on request.
How it stays governed
Field ownership and conflict rules in decision tables, verified writes both ways, and a record of every sync.

What this looks like today

The friction that makes this workflow expensive to run by hand.

01

Divergence

The same contact, two versions

Marketing and sales each update their own platform, and the records drift until nobody can say which is right.

Conflicting dataManual fixes
02

Loops

Bidirectional sync fights itself

Without defined ownership, each system overwrites the other in turn, producing churn that looks like activity but changes nothing.

OverwritesWasted API calls
03

Attribution

The handoff loses its history

Campaign context does not survive the trip into the CRM, so closed revenue cannot be traced to what generated it.

Lost contextAttribution gaps

The workflow

How Koodisi runs it

Koodisi automates the bidirectional sync between HubSpot and Salesforce — contacts, deals, campaign attribution, and custom fields — without the limitations of the native HubSpot Salesforce connector.

01

Decide ownership field by field

Each field gets one authoritative system, which is what stops bidirectional sync from becoming a loop of mutual overwrites.

Ownership rules defined in a decision table.

02

Match records reliably

Contacts and accounts are matched on normalised identifiers rather than raw values, so the sync updates rather than duplicates.

Normalisation before matching; unmatched records are flagged.

03

Sync in both directions

Each platform receives the fields it does not own, in the shape it expects, on the cadence that fits how quickly those fields change.

Field mapping and format conversion per direction.

04

Resolve conflicts by rule

When both sides changed the same field, the ownership rule decides and the losing value is recorded rather than discarded silently.

Conflicts are logged for review, not just resolved.

05

Carry the context across

Campaign and engagement history travels with the record, so revenue can be traced back to what generated it.

Mapped into CRM fields the reporting model already uses.

06

Verify and record

Every write is read back and confirmed, and each cycle leaves a record of what synced, conflicted, and failed.

Retry policies for transient failures; execution logging per record.

Connectivity

The systems in this workflow

Koodisi orchestrates the platforms this workflow touches — through the REST Client today, and through a dedicated activity whenever you need one.

The capability underneath

Every workflow above is assembled from the same governed building blocks — which is why connecting one more system is a day of work, not a project.

Connect to anything

  • REST and webhook connectivity with managed authentication (4 activities)
  • Secure file transfer over SFTP (5 activities)
  • Direct database reads and writes (4 activities)

Move and reshape data

  • Translate between CSV, JSON, XML, and fixed-width formats (6 activities)
  • Field-level mapping between systems that model data differently
  • High-volume batch processing with per-record tracking (7 activities)

Decide and protect

  • Decision tables for approval and routing rules your team can read
  • Encryption, hashing, and signature verification on sensitive fields
  • Retry policies, error handling, and full execution logging

Business systems connect through Koodisi’s REST Client, and our team builds dedicated activities for the ones you depend on — typically within a day of you asking.

Request a system →

Governance

Automated, but still under control

Every run is authorised, recorded, and observable — the part that decides whether automation survives an audit.

Ownership rules in the open

Which platform owns each field is written in a decision table, which is the difference between stable sync and endless overwrites.

Every sync recorded

Each cycle logs what was read, written, and conflicted, with before and after state per record.

Contact data masked

Personal contact details are masked in logs so sync records can be reviewed without exposing your database.

Scoped permissions

Permission scopes separate who runs the sync from who changes ownership and conflict rules.

Credentials in Key Vault

Both platforms' credentials are stored in Key Vault and referenced at run time.

Traced per direction

Traces distinguish inbound from outbound failures rather than reporting one aggregate status.

FAQ

Frequently asked questions

Still have a question? Talk to our team.

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