HubSpot data cleanup and deduplication.
Reporting is only as honest as the data. Deduplication with a rule somebody signed, property consolidation, association repair, and the automation that stops it degrading again. Usually the first paid project after an audit.
Four properties meaning the same thing.
Industry, Industry Type, industry and Vertical, each populated by a different import, each feeding a different report. Nobody can delete any of them because something might depend on it, so all four stay and the reports quietly disagree.
Four fields. One fact.
Data — the accretionCleanup that does not break the portal.
Deduplication with survivorship rules
The matching rule and the rule for which value wins, both agreed and dry-run before anything merges. Merging is not reversible, which is why nobody should do it hopefully.
Property consolidation
Duplicate properties merged, values reconciled, dependencies traced first. The tracing is the work; deleting is the easy part and the dangerous one.
Association repair
Contacts with no company, deals with no contact, orphaned tickets. These break reporting silently because the record exists and simply never appears in a filtered view.
Formatting and validation
Phone numbers, country names, job titles and company names normalised, then kept normalised by automation rather than by a quarterly project.
Marketing contact rationalisation
Who is genuinely marketable. This usually pays for the engagement on its own and has no downside for anyone.
Keeping it clean
Validation at entry, deduplication on create, and monitoring on the fill rates your reports depend on. Otherwise you are back here in eighteen months.
Audit, architect, build, hand over.
Audit
The portal read end to end — objects, properties, automation, permissions, integrations and the reports leadership actually opens.
Architect
The model written down before it is built: objects, lifecycle, ownership and the definitions every report has to agree on.
Build
Configuration, automation and integration built to that model, in a sequence that leaves the team working throughout.
Hand over
Documentation, enablement for the people who run it daily, and a period operating alongside your team until it is genuinely theirs.
Merged first. Traced afterwards.
A bulk merge run without tracing dependencies takes out the property a lifecycle workflow was reading, and the damage surfaces weeks later as leads that stopped progressing. Every cleanup runs as a dry run you review before anything is written.
What people ask before they commit.
How bad is our data really?
The audit quantifies it: duplicate rate, orphan rate, fill rates on the properties your reports depend on, and marketing contact split. Most portals are worse than the team expects and better than they fear.
Will merging lose data?
Merging is destructive by nature, which is why the survivorship rule is agreed first and the dry run is reviewed before anything runs. We keep a record of what was merged.
Do you use Insycle or similar tools?
Where they fit, yes — good tooling for bulk operations. Scripted work handles the cases tools cannot express. The tool matters much less than the rule.
How long does it take?
Two to six weeks for most portals, including the dry runs and the review cycles. The automation that keeps it clean is a smaller additional piece.
Will it stay clean?
Only if entry is controlled. Cleanup without validation, deduplication on create and monitoring is a project you repeat, and we would rather build the second half.
Where people go from here.
Clean it, then keep it clean.
Tell us what you are running
What the system does today, where it breaks, and when it has to work. An engineer reads it — you get an answer inside one business day, not a sequence.