Integration design
Before any code, we define what syncs, in which direction, how often, and who wins a conflict.
Explore- Object and field mapping spec
- Source-of-truth rules per field
- Sync frequency and volume estimates
- Failure and retry behaviour
A connector that syncs happily for three weeks and then silently drops records is worse than no integration at all. We design for the failure cases first: conflict rules, retries, logging and someone actually watching the errors.
In short
There are three viable routes: a native or marketplace connector, an iPaaS middleware layer such as Workato, Make or Zapier, and a custom API build against HubSpot's CRM API. The right choice depends on data volume, direction of truth and how much transformation is needed. Capra Digitals scopes all three and recommends the cheapest option that will not break under load.
Signals
Reps ask finance in Slack whether an invoice is paid, because HubSpot has no idea.
The ERP and the CRM disagree on the customer record and nobody defined which wins.
The marketplace app works until a required field is empty, then quietly stops syncing.
Leadership wants HubSpot data joined with product and finance data in one place.
What you get
Before any code, we define what syncs, in which direction, how often, and who wins a conflict.
ExploreNative connector, iPaaS recipe or a custom API service — chosen on cost and durability, not on what is fashionable.
ExploreFailures go somewhere a human sees them, with enough context to fix the record rather than guess.
ExploreA written integration spec so the next person to touch it does not have to reverse-engineer your business rules.
ExploreHow it runs
What data exists where, which system owns which field, and what business decisions depend on the sync being correct.
We price native, iPaaS and custom against your volume and transformation needs, then recommend one with the reasoning written down.
Sandbox first, with deliberately broken records thrown at it to confirm the error handling works.
Go live with alerting in place, then review sync health after two weeks and tune the noisy rules.
Questions
The questions we get asked on almost every call about this work.
ERP systems such as NetSuite, Dynamics and Sage; billing platforms including Stripe, Chargebee and QuickBooks; support tools like Zendesk and Intercom; and warehouses such as BigQuery, Snowflake and Postgres.
Zapier and similar tools are excellent for low-volume, low-complexity flows. Once you need bulk syncs, conflict resolution or transformations, per-task pricing and reliability both start working against you.
Yes, but bidirectional sync needs strict field-level source-of-truth rules or the two systems will fight. We define those rules in the design phase before building anything.
Failed records land in an error queue with context, alerts fire to a channel you nominate, and the runbook covers the common causes. Nothing fails silently.
Under managed services or fractional RevOps, yes. Otherwise you get the documentation and runbook to maintain it in-house.
Next step
We will come back with the three ways to connect them, what each costs, and which one we would actually build.