I am working on a Job Title Classifier for our marketing and sales teams with a goal of identifying IBP's and help job title/seniority groups for targeted automated messaging. I wanted to use Clay to parse/consolidate a table of job titles from a list of enriched contacts where the output is sent to a new table of just the parsed/consolidated titles from the original contact list. The prompt is responsible for eliminating duplicates and variants of the same type of title, creating an—almost—normalized list of job titles. How could I build this out?
You can build this using AI formulas and the "Write to Other Table" feature. Here's the approach:
Step 1: Clean job titles with AI formulas
Step 2: Extract unique titles to new table
Use "Write to Other Table" to send the cleaned job titles to a new table. This will map each title as individual rows. [3]
Step 3: Deduplicate
In the new table, use another AI formula column to identify and consolidate duplicate/variant titles into standardized versions. [4]
Optional enhancement:
Consider using our "Map Job Title to Persona" integration to categorize titles by seniority levels (Director, VP, etc.) for your IBP identification. [5]
This creates a clean, normalized reference table of job titles you can use for targeted messaging campaigns.
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If you need any more help building out your job title classifier or have questions about the steps I shared, I’m here to assist. Would you like to provide more details about what you’re trying to achieve or any challenges you’re facing?
IBP likely refers to "Ideal Buyer Profile" - similar to an Ideal Customer Profile (ICP) but focused on the specific people within target companies rather than just the companies themselves. [1]
Our AI can also analyze your company domain to determine which job titles you typically sell to and automatically generate target lists based on similar companies. [4]
What specific job titles or seniority levels are you looking to target for your messaging campaigns?
Yes, IBP = Ideal Buyer Profile
Perfect! Now that we've clarified IBP = Ideal Buyer Profile, your job title classifier approach is spot on.
For your IBP identification, you can enhance the workflow by using AI formulas to categorize titles into seniority buckets like Junior ICs, Managers, Directors/VPs, and C-suite executives. [1] This standardization makes it much easier to identify decision-makers and tailor your automated messaging accordingly.
You can also use our "Map Job Title to Persona" integration to automatically categorize titles by seniority levels and personas using keyword matching. [2] This helps streamline your IBP identification process.
The AI formula approach for cleaning titles works great - just prompt it to extract seniority indicators like "Head," "VP," "Director," or "Lead" from messy job titles. [3]
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So your purpose is not to come up list of job titles but more about segmenting them based on their persona, right? (E.g. seniority level (C level, VP, IC), primary function (sales, product, dev, finance etc)
Exactly! The "Map Job Title to Persona" integration is designed for segmentation, not generating lists of titles. [1]
It categorizes existing job titles into predefined personas using keyword matching - like mapping "Software Engineer" to "Engineer (Individual Contributor)" or segmenting by seniority levels (Junior ICs, Managers, Directors/VPs, C-suite). [2]
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If you still need help refining your job title classification or segmentation, I’m here to assist. Would you like to share more about the specific challenges or goals you have with this project?
the idea is use a table of contacts enriched with job titles and use AI via Clay to simplify / parse / consolidate / normalize a list of job titles to another table. Eventually it will be tied to a persona, but that is not the current focus. The current focus is to us AI to help with the normalization or job titles specific to our industry of focus—construction.
Perfect! For construction-specific job title normalization, use AI formulas to clean and standardize titles before sending to your new table. [1]
Step 1: Add an AI formula column to your contacts table. Prompt it something like: "Normalize construction job titles by removing company-specific details and standardizing variants. Convert 'Site Supervisor - ABC Construction' to 'Site Supervisor', 'Project Mgr' to 'Project Manager', etc." [2]
Step 2: Use "Write to Other Table" to send the normalized titles to your new table as individual rows.
Step 3: In the new table, add another AI formula to further consolidate similar construction roles - like grouping "Foreman", "Site Foreman", "Construction Foreman" into a single standardized title. [3]
AI formulas are free (no credits used) and perfect for this type of deterministic cleaning work.
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