Discrepancy in Employee Count: Request for Insights

Gustavo S. · 2025-11-11 09:50:04.149594+00

Hi team, I noticed the size (# employees) + the employee count are not actually matching. Any ideas why? Please check screenshot.

Discrepancy in Employee Count: Request for Insights | Clay

7 comments

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Clay Support
APP
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This mismatch occurs because company headcount data often comes in different formats from various sources. [1] When Clay enriches company information, it sometimes returns headcount ranges like "50-100 employees" rather than exact integer values, which creates inconsistencies in categorization.
AI prompts in Clay may yield different results across columns due to variations in selected options or functionalities. To fix this, you can use an AI formula to standardize the data by cleaning headcount ranges and ensuring consistent categorization logic.
For boundary values like company_size = 50, test your conditional statements to avoid misclassification. [2] Make sure to handle unexpected formats properly - if company_size shows "unknown" or inconsistent data, set up proper defaults. [3]
You can create a new column with standardized logic to align the size categories with actual employee counts.
Clay Support
APP
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·
Is that what you were looking for?
Clay Support
APP
·
·
If you still need help resolving the mismatch between employee counts and size categories, I’m here to assist. Would you like to provide more details about what you’re trying to achieve or any specific challenges you’re facing?
Gustavo S.
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this is not what I meant. What I mean is, after enriching a company we get multiple datapoints including "employee count" and size. Company size always gives us ranges. This is fine. Employee count always gives us concrete numbers. This is fine as well. My question is: Many times, the size gives us "11-50" but "employee count" gives is 52. That doesn't match.
Clay Support
APP
·
·
This mismatch occurs because different data providers use different methodologies and data sources for company size ranges versus exact employee counts. [1]
The "Size" field typically comes from one data source that categorizes companies into predefined ranges, while "Employee Count" comes from another source that provides specific numbers. These sources may have different update frequencies, collection methods, or definitions of what constitutes an "employee."
This is a known data inconsistency issue when enriching company information from multiple providers. You can use an AI formula to standardize this data by creating logic that aligns the size categories with the actual employee counts for more consistent categorization.
Clay Support
APP
·
·
Was that helpful?
Clay Support
APP
·
·
If you still need help understanding or resolving the mismatch between the "Size" ranges and "Employee Count" numbers, I’m here to assist. Would you like to share more about your specific use case or any other details you want to clarify?

Clay Support
APP
·
·
This mismatch occurs because company headcount data often comes in different formats from various sources. [1] When Clay enriches company information, it sometimes returns headcount ranges like "50-100 employees" rather than exact integer values, which creates inconsistencies in categorization.
AI prompts in Clay may yield different results across columns due to variations in selected options or functionalities. To fix this, you can use an AI formula to standardize the data by cleaning headcount ranges and ensuring consistent categorization logic.
For boundary values like company_size = 50, test your conditional statements to avoid misclassification. [2] Make sure to handle unexpected formats properly - if company_size shows "unknown" or inconsistent data, set up proper defaults. [3]
You can create a new column with standardized logic to align the size categories with actual employee counts.
Clay Support
APP
·
·
Is that what you were looking for?
Clay Support
APP
·
·
If you still need help resolving the mismatch between employee counts and size categories, I’m here to assist. Would you like to provide more details about what you’re trying to achieve or any specific challenges you’re facing?
Gustavo S.
·
·
this is not what I meant. What I mean is, after enriching a company we get multiple datapoints including "employee count" and size. Company size always gives us ranges. This is fine. Employee count always gives us concrete numbers. This is fine as well. My question is: Many times, the size gives us "11-50" but "employee count" gives is 52. That doesn't match.
Clay Support
APP
·
·
This mismatch occurs because different data providers use different methodologies and data sources for company size ranges versus exact employee counts. [1]
The "Size" field typically comes from one data source that categorizes companies into predefined ranges, while "Employee Count" comes from another source that provides specific numbers. These sources may have different update frequencies, collection methods, or definitions of what constitutes an "employee."
This is a known data inconsistency issue when enriching company information from multiple providers. You can use an AI formula to standardize this data by creating logic that aligns the size categories with the actual employee counts for more consistent categorization.
Clay Support
APP
·
·
Was that helpful?
Clay Support
APP
·
·
If you still need help understanding or resolving the mismatch between the "Size" ranges and "Employee Count" numbers, I’m here to assist. Would you like to share more about your specific use case or any other details you want to clarify?