Turn a Messy Job Title Field Into a Segmentation Superpower
The data is there. It’s just not usable.
Here’s a situation I run into constantly.
A client wants to send an email to their VP-level contacts. Reasonable request. So we go to build the list in HubSpot, filter by job title, type in “VP” — and get back about a third of the people we expected.
The rest? They’re in there. They just got entered as “Vice President,” “V.P. of Sales,” “VP, Marketing,” “vice president of operations,” or — my personal favorite — “VP (retired, consulting).”
Same role. Six different values. HubSpot has no idea they’re related.
This is the free-text job title problem, and it quietly undermines segmentation, lead scoring, and personalization for a lot of teams who don’t realize it’s happening.
How It Happens
Nobody set out to create chaos. The job title field in HubSpot is open text by default, which means every contact record gets whatever someone typed — or whatever came through on a form, or however it appeared in a LinkedIn import, or what a sales rep entered in a hurry between calls.
Over time, you end up with dozens of variations of the same handful of roles. And because HubSpot filters on exact values, all those variations are invisible to each other.
Your “Director-level” email campaign misses half the directors. Your lead scoring rule for C-suite contacts only fires on some of them. Your sales rep’s filtered view looks complete — but it isn’t.
The data is there. It’s just not usable.
The One Thing That Works: Create a Job Title Bucket Property
Instead of trying to enforce consistency in the free-text field (a battle you will not win), create a second, separate property — a dropdown — that categorizes contacts into a clean set of role-based buckets.
Something like:
- Executive / C-Suite
- VP / Senior Leader
- Director
- Manager
- Individual Contributor
- Business Owner
- Other / Unknown
Then, use a workflow to scan the existing Job Title field for keywords and automatically populate the new bucket property. HubSpot’s workflow “contains” logic works well here — if Job Title contains “CEO,” “Chief,” or “Founder,” set Seniority Level to Executive / C-Suite. If it contains “VP,” “Vice President,” or “V.P.,” set it to VP / Senior Leader. And so on.
You’re not cleaning the original field. You’re building a usable layer on top of it.
Why This Approach Works
The free-text field captures what people actually type, which is valuable context. But it’s terrible for filtering. The bucket property flips that — it’s not pretty raw data, but it’s extraordinarily useful for segmentation.
Once this is in place:
- Building a list of Director-and-above contacts takes about ten seconds
- Lead scoring can trigger on a clean dropdown value instead of a messy text match
- Personalization tokens and email targeting become reliable
- You can actually report on your contact base by seniority without manually sorting through 200 job title variations
This is one of those fixes that feels almost too simple once it’s done. The before and after is dramatic.
While You’re At It: Industry Has a Similar Problem
If the Industry field is on your radar too, the same concept applies — just from a different angle.
HubSpot’s default Industry dropdown has over 140 options. That sounds comprehensive. In practice, it means your contacts might be tagged across “Computer Software,” “Information Technology and Services,” “Internet,” and “Computer & Network Security” when they all just work in tech.
Rather than fight the default list, create a custom Industry Category dropdown with the 8–12 verticals that actually matter to your business. Then use a workflow to map the HubSpot defaults into your categories. You’re not replacing the original data — you’re making it workable.
Same principle. One clean layer on top of messy raw data.
What to Try This Week
Pull a contact report in HubSpot and export the Job Title field. Open it in a spreadsheet and skim through the values. You’ll immediately see the patterns — the VP variations, the Director spellings, the titles that tell you nothing useful.
Use that list to define your buckets. Even five or six categories will transform how usable that field is.
Then build the property, set up the workflow, and let HubSpot do the cleanup for you.
One property. One workflow. Dramatically better segmentation.
Want help setting up the workflow logic or defining your bucket categories? Grab some time and let’s figure it out together.
The data is there. It’s just not usable.
Here’s a situation I run into constantly.
A client wants to send an email to their VP-level contacts. Reasonable request. So we go to build the list in HubSpot, filter by job title, type in “VP” — and get back about a third of the people we expected.
The rest? They’re in there. They just got entered as “Vice President,” “V.P. of Sales,” “VP, Marketing,” “vice president of operations,” or — my personal favorite — “VP (retired, consulting).”
Same role. Six different values. HubSpot has no idea they’re related.
This is the free-text job title problem, and it quietly undermines segmentation, lead scoring, and personalization for a lot of teams who don’t realize it’s happening.
How It Happens
Nobody set out to create chaos. The job title field in HubSpot is open text by default, which means every contact record gets whatever someone typed — or whatever came through on a form, or however it appeared in a LinkedIn import, or what a sales rep entered in a hurry between calls.
Over time, you end up with dozens of variations of the same handful of roles. And because HubSpot filters on exact values, all those variations are invisible to each other.
Your “Director-level” email campaign misses half the directors. Your lead scoring rule for C-suite contacts only fires on some of them. Your sales rep’s filtered view looks complete — but it isn’t.
The data is there. It’s just not usable.
The One Thing That Works: Create a Job Title Bucket Property
Instead of trying to enforce consistency in the free-text field (a battle you will not win), create a second, separate property — a dropdown — that categorizes contacts into a clean set of role-based buckets.
Something like:
- Executive / C-Suite
- VP / Senior Leader
- Director
- Manager
- Individual Contributor
- Business Owner
- Other / Unknown
Then, use a workflow to scan the existing Job Title field for keywords and automatically populate the new bucket property. HubSpot’s workflow “contains” logic works well here — if Job Title contains “CEO,” “Chief,” or “Founder,” set Seniority Level to Executive / C-Suite. If it contains “VP,” “Vice President,” or “V.P.,” set it to VP / Senior Leader. And so on.
You’re not cleaning the original field. You’re building a usable layer on top of it.
Why This Approach Works
The free-text field captures what people actually type, which is valuable context. But it’s terrible for filtering. The bucket property flips that — it’s not pretty raw data, but it’s extraordinarily useful for segmentation.
Once this is in place:
- Building a list of Director-and-above contacts takes about ten seconds
- Lead scoring can trigger on a clean dropdown value instead of a messy text match
- Personalization tokens and email targeting become reliable
- You can actually report on your contact base by seniority without manually sorting through 200 job title variations
This is one of those fixes that feels almost too simple once it’s done. The before and after is dramatic.
While You’re At It: Industry Has a Similar Problem
If the Industry field is on your radar too, the same concept applies — just from a different angle.
HubSpot’s default Industry dropdown has over 140 options. That sounds comprehensive. In practice, it means your contacts might be tagged across “Computer Software,” “Information Technology and Services,” “Internet,” and “Computer & Network Security” when they all just work in tech.
Rather than fight the default list, create a custom Industry Category dropdown with the 8–12 verticals that actually matter to your business. Then use a workflow to map the HubSpot defaults into your categories. You’re not replacing the original data — you’re making it workable.
Same principle. One clean layer on top of messy raw data.
What to Try This Week
Pull a contact report in HubSpot and export the Job Title field. Open it in a spreadsheet and skim through the values. You’ll immediately see the patterns — the VP variations, the Director spellings, the titles that tell you nothing useful.
Use that list to define your buckets. Even five or six categories will transform how usable that field is.
Then build the property, set up the workflow, and let HubSpot do the cleanup for you.
One property. One workflow. Dramatically better segmentation.
Want help setting up the workflow logic or defining your bucket categories? Grab some time and let’s figure it out together.