HubSpot + JobTread integration

JobTread is built for the contractor who estimates carefully. A remodeler or custom builder uses it to take off quantities, price the job from a cost catalogue, send a proposal the client signs online, and then run the budget, the purchase orders and the invoices against that same estimate. It also carries a lead pipeline of its own, with web-to-lead forms, leads tracked by status on kanban boards, and follow-up tasks for the sales team.

Teams add HubSpot when their marketing outgrows that pipeline. A design-build firm running paid search, a home show calendar and email nurture for clients a year away from signing needs campaign attribution, sequences and a website that recognizes a returning visitor. JobTread cannot say which of those campaigns produced a signed customer order, and HubSpot cannot see the order at all.

The join sits at two moments. A qualified lead has to become a customer, a location and a job in JobTread without anyone retyping it, and a signed order and its invoices have to come back so HubSpot can report revenue by source. JobTread calls itself an API first company and publishes an open API for exactly this, in a query language of its own that shapes the whole build.

Five records carry it. JobTread accounts of the customer type become HubSpot companies and their contacts become HubSpot contacts. Accounts include vendors too, so every read filters on type, or subcontractors end up on a marketing list. The contact type in JobTread’s schema has no email or phone field, so those details come from the contact’s custom field values, read by field.

The job becomes the deal. A JobTread job exists from the first estimate, holds the budget, and carries the documents that price it, so it is the pursuit before the sale and the project after it. The deal amount is the sum of approved customer orders on the job, the same query JobTread’s documentation publishes as an example, and the first approval moves the deal to closed won. Later approvals raise that sum rather than opening new deals. Customer invoices land on a custom object associated to the deal, and pending ones read as the open balance.

Keys are JobTread ids held in custom HubSpot properties. Names and job numbers are for people to read.

The runtime is a webhook queue, and here the queue is the only way to see edits. JobTread’s schema records when accounts, contacts, jobs, documents and locations were created, but gives them no updated timestamp, so a poll can find new records and cannot find changed ones.

JobTread posts an event to our endpoint for each type we subscribe to, such as account, contact, job and document updates and new payments. The endpoint acknowledges at once and queues the event. A consumer reads the full record by id through the single Pave endpoint, asking only for the fields the mapping uses, and upserts into HubSpot on the JobTread id, with a link store holding each pair of ids.

The other direction starts in HubSpot. When a deal reaches the stage the sales team agrees on, a workflow calls the service, which creates the account, the contact, the location and the job in JobTread in that order, because each call needs the id the previous one returned. A nightly pass re-reads open jobs and their documents and compares them with HubSpot.

The deciding question is how much has to move after the handoff. JobTread’s own Zapier integration, which names HubSpot among its CRM pairings, is a sound way to create a JobTread customer from a new HubSpot lead, and some firms need nothing more. Once approvals, amounts and invoices have to reach HubSpot, the flow needs webhooks, a link between ids and a way to recover a missed event. That is a service we build and run, since no app in the HubSpot App Marketplace offers a shortcut for JobTread.

The cost of choosing wrong runs in one direction. A Zapier flow that grows a second and third zap to chase edits ends up as an unowned integration with no reconciliation, and replacing it later means untangling duplicates first.

1. Scope. We list the custom fields on accounts, contacts and jobs, the document types and statuses in use, and the deal stage that should create a job.
2. Architect. Jobs as deals, approved orders summed into the amount, invoices on a custom object, JobTread ids as keys, and the event types we subscribe to.
3. Build. JobTread publishes no sandbox, so the service is written against test records in a JobTread organization we agree with you, with the API’s notify input set to false so test writes alert nobody. The HubSpot side is a sandbox behind a portal allowlist that fails closed.
4. Validate. We reconcile a backfill of recent jobs for counts and amounts, and run one lead end to end to prove it creates exactly one customer, contact, location and job.
5. Operate. We watch the error JobTread records on each webhook, grant key age and the nightly reconciliation, and replay the queue after an outage.