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Feature

HubSpot Data Quality Automation

Keep records clean, deduplicated, and report-ready so your automation and dashboards stay trustworthy as your CRM grows.

HubSpot data quality automation is a set of always-on tools in Operations Hub that automatically format, deduplicate, and fix CRM records as they enter or change. Property formatting, duplicate management, and data sync clean up names, phone numbers, and country values without manual edits, so your reporting, lists, and workflows run on records you can trust.
What it does

Clean records, handled automatically

Operations Hub watches your data as it flows in and corrects common issues before they reach your reports.

Format property values

Fix capitalization, trim whitespace, and standardize names and emails automatically.

Standardize phone numbers

Apply consistent country codes and formatting for Thai, regional, and international numbers.

Deduplicate contacts and companies

Surface likely duplicates with AI-powered suggestions and merge them in a few clicks.

Fix country and date fields

Normalize free-text country entries and date formats into the values your reports expect.

Monitor data health

A central command center shows formatting issues, duplicate counts, and sync errors in one view.

Trigger fixes in workflows

Use data quality actions inside automation so records are corrected the moment they change.

Visibility

One place to see what needs attention

The data quality command center groups every issue by type so your team works through them in priority order. Instead of discovering bad data when a report looks wrong, you catch it where it lives.

  • Duplicate suggestions for contacts and companies in one queue
  • Property formatting issues grouped by field
  • Sync health for connected apps and integrations
  • Unused and rarely-populated properties flagged for cleanup
Sales dashboard
Pipeline value
฿2.45M
▲ 12%
Deals won
18
▲ 4
Avg. response
14m
▼ faster
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Setup

How to turn it on

  1. Open the data quality command centerFind it under your CRM settings in Operations Hub. This is where formatting, duplicates, and sync issues surface together.
  2. Turn on format property automationsEnable default formatting recommendations for names, emails, and phone numbers, then adjust to fit how your SEA team records data.
  3. Review and merge duplicatesWork through the AI-suggested duplicate list for contacts and companies, confirming merges so your reporting counts stay accurate.
  4. Add data quality steps to workflowsUse format-data actions inside workflows so records get corrected automatically as they enter or update.
  5. Check the dashboard on a regular cadenceSet a recurring review so new issues get cleared before they affect lists, scoring, or campaigns.
Related

Explore the rest of Operations Hub

Data quality automation is one of the tools that keeps your operational data layer reliable across the platform.

Operations HubSmart CRMMarketing HubLINE to HubSpot for Thailand
FAQ

Common questions

What does HubSpot data quality automation actually fix?
It handles the most common record problems automatically: inconsistent capitalization in names, extra whitespace, mismatched phone number formats, free-text country values, and date formatting. It also surfaces duplicate contacts and companies for review. The goal is to keep records consistent so segmentation, scoring, and reporting behave the way you expect.
Which HubSpot tier includes data quality automation?
The full set of data quality tools, including the command center and format property automations, lives in Operations Hub. Some duplicate management features are available more broadly, while the deeper automation and health monitoring come with the paid Operations Hub tiers. Check your current subscription to confirm what is enabled.
Will it deduplicate records automatically without my approval?
Duplicate management is suggestion-based for most records. HubSpot identifies likely duplicates and presents them, and your team confirms the merges. This keeps a human in the loop for judgment calls, which tends to matter most for company records and high-value contacts where a wrong merge would be costly to undo.
Why does data quality matter for automation and AI?
Workflows, lead scoring, and AI features act on whatever data is in the CRM. If country values are inconsistent or duplicates split a contact’s history, the automation makes decisions on a partial or wrong picture. Clean, deduplicated records give your automation and reporting a reliable foundation to work from.
Does it work for Thai and regional data like LINE contacts?
Yes. Formatting automations apply to records no matter the source, including contacts that enter through channels common in Southeast Asia. Phone formatting can standardize Thai and regional numbers, and country normalization helps when contacts arrive with varied or free-text location values.

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