Job title normalization
Turn the free-text job titles in a CRM or event list into department and seniority fields you can filter on.
Columns to upload
Name the columns in your CSV like this. Extra columns are fine: every column of the row is sent with the questions.
| Column | What it holds |
|---|---|
name | Contact name |
title | Job title as entered |
Questions
Each question adds a column to your file. The answer is one of the listed values, or Unsure when the model's confidence is below the cutoff: 70% for pick-one and scale questions, 80% for yes or no.
| New column | Question | Possible answers |
|---|---|---|
departmentPick one | Which department does this job title belong to? |
|
seniorityScale | How senior is this job title? |
Lowest to highest |
decision_makerYes or no | Would a person with this title usually sign off on a purchase for their team? |
|
Example row
| Column | Value |
|---|---|
name | Priya Shah |
title | Sr. Mgr, Growth Mktg |
Answers from a test run on this row
| Column | Answer | Confidence |
|---|---|---|
department | marketing | 100% |
seniority | manager | 99% |
decision_maker | Unsure | 64% |
More sales use cases
| Use case | What it does | New columns |
|---|---|---|
| Inbound lead qualification | Score the leads from your contact or demo form so sales calls the right ones first. | request seniority fit timeline |
| Cold email replies | Sort replies to an outbound sequence so interested prospects and referrals get a follow-up the same day. | reply_type referral date_given |
| Deal notes risk review | Read the notes on open deals and flag the ones at risk before the forecast call. | risk objection next_step competitor_named |
| Company list segmentation | Segment a list of prospect companies by business model and industry from their descriptions. | business_model sells_to_businesses sells_alcohol |
| Lost deal reasons | Code the notes on lost deals into loss reasons and find the ones worth another try. | reason win_back competitor_named |