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  • HubSpot
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Field Mappings

  • Creating Mappings
  • Field Transformations
  • Bidirectional Sync
  • Conflict Resolution

Syncing Data

  • How Syncs Work
  • Scheduling
  • Webhooks
  • Error Handling

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  • HubSpot + Jobber
  • Deals to Jobs
  • Address Mapping

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HubSpot + Jobber Integration Guide

This guide walks you through setting up a complete integration between HubSpot (CRM) and Jobber (field service management). By the end, your contacts and clients will sync seamlessly between both platforms.

Overview

Goal: Keep HubSpot contacts and Jobber clients in sync, so your sales and field service teams always have access to the same customer information.

What You'll Achieve:

  • New HubSpot contacts automatically create Jobber clients
  • New Jobber clients appear in HubSpot for sales follow-up
  • Updates in either system sync to the other
  • Phone numbers and addresses stay consistent

Time Required: 15-20 minutes

Prerequisites

Before starting, ensure you have:

  • [ ] A FluxCascade account (sign up free)
  • [ ] Admin access to your HubSpot portal
  • [ ] Admin access to your Jobber account
  • [ ] Both platforms connected to FluxCascade

If you haven't connected your platforms yet, follow this guide first.

Step 1: Plan Your Field Mapping

Before creating the mapping, decide which fields to sync:

Recommended Field Pairs

HubSpot FieldJobber FieldNotes
firstnamefirst_nameDirect mapping
lastnamelast_nameDirect mapping
emailemailUsed for matching records
phonephoneAdd phone_e164 transform
companycompany_nameOptional

Address Handling

Addresses require special attention because HubSpot stores them in separate fields while Jobber uses a structured format:

Option A: Sync individual fields

  • HubSpot address → Jobber billing_address.street
  • HubSpot city → Jobber billing_address.city
  • HubSpot state → Jobber billing_address.province
  • HubSpot zip → Jobber billing_address.postal_code

Option B: Use address transformation

  • Combine HubSpot address fields with address_single_line transform

Step 2: Create the Mapping

  1. Go to Mappings in FluxCascade
  2. Click New Mapping
  3. Configure the basics:

Source:

  • Connection: Your HubSpot connection
  • Object: Contacts

Target:

  • Connection: Your Jobber connection
  • Object: Clients

Direction: Bidirectional (recommended)

  1. Click Continue

Step 3: Configure Field Pairs

Basic Fields

Add these field pairs:

  1. First Name

    • Source: firstname
    • Target: first_name
    • Transform: None
  2. Last Name

    • Source: lastname
    • Target: last_name
    • Transform: None
  3. Email (Matching Field)

    • Source: email
    • Target: email
    • Transform: lowercase (for consistent matching)
    • Mark as Matching Field
  4. Phone

    • Source: phone
    • Target: phone
    • Transform: phone_e164
    • Default country: US (or your country)

Address Fields

Add address mapping based on your chosen approach:

For separate fields:

  1. Street Address

    • Source: address
    • Target: billing_address.street1
  2. City

    • Source: city
    • Target: billing_address.city
  3. State/Province

    • Source: state
    • Target: billing_address.province
  4. Postal Code

    • Source: zip
    • Target: billing_address.postal_code

Optional Fields

Add based on your needs:

  • Company: company → company_name
  • Notes: hs_notes → notes (one-way, HubSpot → Jobber)

Step 4: Set Matching Strategy

Configure how records are matched between systems:

  1. In mapping settings, find Matching Strategy
  2. Select Email as the primary matching field
  3. Enable Case Insensitive Matching

This ensures John@Example.com and john@example.com are treated as the same person.

Step 5: Configure Conflict Resolution

For bidirectional sync, decide how to handle conflicts:

Recommended Settings:

  • Overall Strategy: Last Write Wins
  • Email field: Source (HubSpot) wins – CRM owns email
  • Phone field: Last Write Wins – both teams update
  • Address field: Target (Jobber) wins – field teams have accurate addresses

Step 6: Test the Mapping

Before going live:

  1. Click Test Sync

  2. Review the preview showing what would sync

  3. Check for:

    • Correct field mapping
    • Expected record counts
    • Any transformation errors
  4. If issues, adjust configuration and test again

Step 7: Run Initial Sync

Once testing looks good:

  1. Click Sync Now
  2. Choose Full Sync for initial population
  3. Monitor progress in real-time
  4. Review completion statistics

Expected Results:

  • HubSpot contacts created as Jobber clients
  • Jobber clients created as HubSpot contacts (bidirectional)
  • Existing matches updated with consistent data

Step 8: Enable Scheduled Sync

Set up automatic syncing:

  1. Go to mapping Settings
  2. Enable Scheduled Sync
  3. Choose frequency: Every 15 minutes (recommended)
  4. Save

Step 9: Enable Real-time Sync (Optional)

For instant synchronization:

  1. Go to mapping Settings
  2. Enable Real-time Sync
  3. FluxCascade registers webhooks with both platforms
  4. Changes sync within seconds

Verification

Check HubSpot

  1. Open a contact that should have synced
  2. Verify Jobber-created contacts appear
  3. Check field values match

Check Jobber

  1. Open a client that should have synced
  2. Verify HubSpot-created clients appear
  3. Check field values match

Review Sync Logs

  1. Go to Syncs
  2. Click on recent sync jobs
  3. Verify success rates and any errors

Common Issues & Solutions

Phone Numbers Not Syncing

Cause: Format mismatch

Solution: Add phone_e164 transform to normalize formats

Duplicate Clients Created

Cause: Matching not finding existing records

Solution:

  1. Ensure email is the matching field
  2. Enable case-insensitive matching
  3. Verify emails are populated in source records

Addresses Incomplete

Cause: Field mapping incomplete or address parsing issues

Solution:

  1. Map all address components individually
  2. Or use address transformation
  3. Check source data has complete addresses

Sync Errors on Specific Records

Cause: Missing required data or validation failures

Solution:

  1. Check sync logs for specific error
  2. Fix data in source system
  3. Re-run sync

Best Practices

  1. Start with essential fields – Add more later after verifying basics work

  2. Use email for matching – Most reliable unique identifier for contacts

  3. Normalize phone numbers – Prevents mismatches and duplicates

  4. Consider field ownership – Decide which team owns which data

  5. Monitor regularly – Check sync health weekly

Next Steps

  • Create Deals to Jobs mapping – Sync opportunities to jobs
  • Field Transformations – Advanced data transformation
  • Error Handling – Handle sync failures
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