Jobber + Make

Stop Copying Data Between Jobber and Make - Automate It

Sync data between Jobber and Make automatically. Eliminate manual data entry, reduce errors, and save 8+ hours/week with a custom integration built by Harvard-educated automation experts.

8+ hours/week

Saved weekly

2 weeks

Setup time

12+

Years experience

One-way

Sync direction

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Why Connect Jobber to Make?

Site crews rely on Jobber while the office uses Make, so neither team sees the full picture until end of day

Patient appointment data in Jobber and billing records in Make require double entry, risking compliance issues

Make adds complexity: steeper learning curve than Zapier, particularly for non-technical users unfamiliar with the concepts of routers, iterators, and data mapping

Manually copying data between Jobber and Make wastes hours every week that could be spent on revenue-generating work

Job scheduling in Jobber and invoicing in Make are disconnected, delaying payments for completed work

Reporting across Jobber and Make requires painful manual exports and spreadsheet merges

New team members take longer to onboard because they must learn manual workarounds to keep Jobber and Make aligned

No single source of truth when jobs live in two disconnected tools, so staff second-guess which system has the correct information

How We Help

Based in Gippsland, Victoria, Clever Ops understands the tools Australian Trades & Construction and Healthcare & Allied Health businesses depend on. We connect Jobber to Make with purpose-built integrations that handle jobs and clients sync reliably at scale. On the technical side, Jobber uses a REST + Webhook API with OAuth authentication, which our team handles as part of the build.

Unlock Make Value

Make stands out because visual scenario builder with a node-based interface is more intuitive for complex multi-step workflows than Zapier linear approach. Integrating it with Jobber means your team gets this benefit with complete, accurate data flowing in automatically.

Custom-Built for Your Workflow

Unlike generic connectors, we build integrations tailored to how your business actually uses Jobber and Make. Custom field mappings, business rules, and error handling included.

Built-In Error Handling and Alerts

Our integrations include automatic retries, error queuing, and real-time notifications. If something fails between Jobber and Make, your team knows immediately and the system self-recovers where possible.

Real-Time Visibility Across Teams

When a record updates in Jobber, every team member working in Make sees the change instantly. No lag, no stale dashboards, no conflicting reports.

Jobber to Make Use Cases

Automated error handling and retry for Jobber/Make sync

When a sync between Jobber and Make fails due to a rate limit, network issue, or validation error, the integration retries automatically with exponential backoff. Your team is alerted only when intervention is genuinely needed.

Data Mapping

How data flows between Jobber and Make

Jobber	→	Make	Notes
Jobber Record IDs	→	Make External References	Cross-reference identifiers stored on both records for bidirectional lookups and deduplication
Jobber Timestamps	→	Make Audit Log	Created and modified timestamps preserved for sync conflict resolution and compliance
Jobber Owner/Assignee	→	Make Owner/Assignee	Record ownership mapped between platforms using email address as the matching key
Jobber Invoices	→	Make Custom Fields	Invoices data from Jobber stored in Make custom fields for reference
Jobber Visits	→	Make Custom Fields	Visits data from Jobber stored in Make custom fields for reference
Jobber Clients	→	Make Custom Fields	Clients data from Jobber stored in Make custom fields for reference
Jobber Quotes	→	Make Custom Fields	Quotes data from Jobber stored in Make custom fields for reference
Jobber Jobs	→	Make Custom Fields	Jobs data from Jobber stored in Make custom fields for reference

Jobber + Make Integration FAQ

Absolutely. Custom field mapping is a core part of every integration we build. Whether it is custom properties in Jobber or user-defined fields in Make, we map them precisely to your requirements. We can also transform data formats, apply business rules, and handle conditional mappings.

Our integrations include retry logic and error queuing. If Make is temporarily down, changes are queued and replayed once the system recovers. You will receive alerts for any sync failures that need attention. No data is lost during outages.

Integration pricing depends on complexity, including the number of data objects synced (jobs, clients, quotes), sync direction, custom business rules, and volume. Most Jobber to Make integrations fall within our standard integration tier. Book a free assessment to get a specific quote for your requirements.

We use a combination of direct REST + Webhook API connections and automation platforms like Make, Zapier, or n8n, depending on your requirements and budget. For complex workflows, we build custom middleware. The right approach depends on your volume, sync frequency, and business rules.

We map industry tools data like jobs and clients from Jobber to the corresponding automation structures in Make. Our team handles data transformation, validation, and conflict resolution between the two system types.

Yes. We routinely build conditional logic, field transformations, data enrichment, and approval workflows into integrations. For example, only sync jobs that meet certain criteria, or transform data formats before writing to Make. Your business rules drive the integration design.

Yes. We have built integrations for Trades & Construction businesses that rely on both Jobber and Make. The integration is customised to your industry-specific workflows, data structures, and compliance requirements. Book Free Assessment to discuss your specific needs.