Templates / RevOps · Clean & dedupe

Standardize and normalize CRM fields

Normalize industry, country, and employee count across every HubSpot record.

01 Companies

One row per HubSpot company. Normalize Country + Normalize Industry produce canonical values, Find Missing Data fills empty cells via AI lookup, and Update HubSpot Company writes the standardized fields back to the CRM.

HubSpot Companies Company name Country/Region Industry Normalize Country Country (Normalized) Normalize Industry Find Missing Data Update HubSpot Company
HubSpot Co. Voltio USA B2B SaaS Normalized US · United States COMPUTER_SOFTWARE Skipped Updated
HubSpot Co. Lenza germany saas Normalized DE · Germany COMPUTER_SOFTWARE Skipped Updated
HubSpot Co. Pulsenote United Kingdom Normalized GB · United Kingdom COMPUTER_SOFTWARE Found Updated
HubSpot Co. Trackbeam us Fintech Normalized US · United States FINANCIAL_SERVICES Skipped Updated
HubSpot Co. Cloud Pivot B2B SaaS Missing COMPUTER_SOFTWARE Found · CA Updated
HubSpot Co. Mosaic Labs USA agency Normalized US · United States MARKETING_AND_ADVERTISING Skipped Updated
HubSpot Co. Northwind USA B2B SaaS Normalized US · United States COMPUTER_SOFTWARE Skipped Updated

02 Contacts

One row per HubSpot contact. The same normalization passes apply to job title and seniority so segments and routing can rely on a clean vocabulary across every contact in the CRM.

HubSpot Contacts Full Name Job Title Normalize Title Title (Canonical) Seniority Update HubSpot Contact
HubSpot Co. Mara Jensen VP, Sales Normalized VP Sales VP Updated
HubSpot Co. Diego Romero Chief Revenue Officer Normalized CRO C-level Updated
HubSpot Co. Anya Patel CEO & Founder Normalized CEO C-level Updated
HubSpot Co. Kai Müller Senior Manager, Sales Ops Normalized Sales Ops Manager Manager Updated
HubSpot Co. Sara Chen Director Sales Normalized Sales Director Director Updated

How the workflow runs

Each step is a Baseloop action chained on a table. Clone the template and the whole sequence runs on your data, no wiring, no glue code.

  1. 01

    Pull every HubSpot company (or a target subset) into a Baseloop Companies table.

  2. 02

    AI normalizes the country into ISO codes + canonical names so reporting groups every "USA / United States / us" together.

  3. 03

    AI normalizes the industry into your canonical taxonomy (matches HubSpot enum or your custom list).

  4. 04

    For records missing industry or country, AI does a one-shot lookup against the company name + domain to fill the gap.

  5. 05

    Push the normalized industry, country, and any newly-found fields back to the HubSpot company record.

  6. 06

    Repeat across the Contacts table for any contact-level normalization (job titles, seniority).

What this gets you

Reporting, segmentation, and routing finally work because every company in HubSpot uses the same vocabulary. No more "USA" vs "United States" vs "us"; no more 14 ways to say "B2B SaaS".

Integrations used

This workflow connects to 2 Baseloop integrations. Click any to see all its actions.

Build this on Baseloop today

Clone the template and the whole flow runs on your data in minutes. Free to start, no credit card.