Two dashboards, two numbers, no way to tell which is right. The fix is a pipeline you can trace, not another export. From $4,999.
- Map
- Normalize
- Sync
scope-based
Who this is for
Operations or revenue lead who cannot get HubSpot and the source systems to report the same number and has no way to see where the divergence starts.
The pain today
- Two dashboards report different numbers for the same week
- A sync failed quietly and nobody noticed for days
- Records update in one system and never reach HubSpot
- Someone runs a manual export to patch the gap
- No one can trace a HubSpot record back to what created it
The outcome you get
- The match and merge rules agreed in writing before any record moves
- Normalization and deduplication applied before anything reaches HubSpot
- An audit trail from any HubSpot record back to its source payload
- Sync monitoring with per-source pause control, inside your own account
- Code, infrastructure, and documentation yours as work made for hire
Silent failure is the real problem
Most sync problems are not dramatic. Nothing throws an error a human sees. A rate limit response gets swallowed, a malformed payload is skipped, a job dies halfway through a batch, and the systems drift apart slowly enough that nobody catches it until a report looks wrong.
By then the question is not what broke, it is when. Without a batch history and a per-record trail, answering that means guessing. Teams usually respond by rebuilding the data from a manual export, which fixes the number and leaves the cause untouched.
The match and merge rules agreed in writing before any record moves
What a traceable pipeline gives you
Every ingestion cycle logged. Every HubSpot record linked back to the source batch and the original payload that produced it. Every write safe to repeat without creating duplicates, so a retry after a failure cannot create duplicates or double-count.
On top of that, a control panel that shows pipeline health, lets you pause one source without stopping the others, and lets you inspect a single record end to end. When a number looks wrong you get an answer in minutes instead of a working theory, and when a source system has an outage you can stop that one feed and keep the rest running.
2M+: Records processed.
This has been solved at scale
Reevia ran four separate platforms feeding HubSpot with raw records, inconsistent formatting, and no shared identifiers. I built the layer that normalizes and maps every record to the correct object type before it lands, with full association handling and a traceable batch history. Over 2 million records processed. A lead from any of the four systems reaches HubSpot, standardized, in under 50 seconds, and the whole integration went to production in under four weeks.
What fixing this costs
The published floor is $4,999 and the real number comes from a mapping audit, in writing, before any build work starts. Scope moves with how many systems feed HubSpot, how many records exist, whether data flows one way or both, which objects are involved, and how much history needs cleaning. You can price your own scope on the calculator first. Every engagement carries a 14-day money-back guarantee and a 1-year bug warranty.
Recent proof
A comparable engagement, delivered and documented.
Four systems, one source of truth: HubSpot visibility for one of Brazil's largest vet networks
Built a custom integration layer connecting four source systems into HubSpot for one of Brazil's largest veterinary companies. Leads sync in under 50 seconds.
Read the case studyRelated services
The same work, framed for a different situation.
Frequently asked questions
The questions prospects ask before they book.
Monitoring shows pipeline health per source, and failures surface rather than passing silently. The point of the batch log is that a gap is visible before a report is wrong.
Often yes. The audit covers what exists, what it does, and whether repairing it or replacing it is the better value. Sometimes the honest answer is that the existing pipeline is fine and the mapping is wrong.
Writes are safe to repeat without creating duplicates and retries are safe, so a temporary outage delays records rather than losing them. You can pause the affected source and keep the others running.
Rarely. Most teams need reliable and traceable more than instant. Reevia moves a record end to end in under 50 seconds, which is well inside what a sales workflow needs.