Troubleshooting Lead Scoring for Inconsistent Variable Capture

Jesse B. · 2025-04-30 13:52:39.267247+00

Hi team - I am trying to pull off a lead scoring of 7 variables but for some reason it does not catch all 7 of them. Some rows catch some, other rows catch others. Any idea how I can trouble shoot it?

Troubleshooting Lead Scoring for Inconsistent Variable Capture | Clay

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To troubleshoot your lead scoring setup in Clay, follow these steps: 1. Review your formula: Make sure your custom formula in the Formula Generator includes all 7 variables correctly. 2. Check data consistency: Ensure all 7 variables have data for each row. Missing data can cause inconsistent scoring. 3. Verify data types: Confirm that the data types for each variable match your formula's expectations (e.g., numbers for numeric scoring, text for categorical scoring). 4. Test with sample data: Create a small dataset with known values to validate your formula's behavior. 5. Use conditional statements: If some variables are optional, use IF statements to handle missing data. If issues persist, consider sharing your formula and a sample of your data for further assistance. If you need more help, request human assistance by clicking on "Talk to a person" in this chat.
Sources: Lead Scoring [Clay 101] - Clay University Lead scoring overview | Documentation | Clay University
Jesse B.
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Almost fixed! But for some reason the company size does not come through. Do you know why?
Jesse B.
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Here is a screenshot
Channeled
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There could be a few reasons why the company size variable isn't coming through in your lead scoring setup: 1. Data enrichment issue: Ensure you've properly enriched your data with company size information. This typically involves using company domains to fetch headcount data. 2. Formula problem: Review your custom formula in the Formula Generator. Make sure it correctly includes the company size variable. 3. Data consistency: Check if the company size data is available for all rows. Missing data can cause inconsistent scoring. To fix this: 1. Verify your data enrichment process for company size. 2. Double-check your formula in the Lead Scoring modal. 3. Ensure company size data is present for all leads. If you need more help, request human assistance by clicking on "Talk to a person" in this chat.
Sources: Lead Scoring [Clay 101] - Clay University Lead scoring overview | Documentation | Clay University
Jesse B.
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talk to a person.
Channeled
APP
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This thread was picked up by our in-app web widget and will no longer sync to Slack. If you are the original poster, you can continue this conversation by logging into https://app.clay.com and clicking "Support" in the sidebar. If you're not the original poster and require help from support, please post in 02 Support.

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Channeled
APP
·
·
To troubleshoot your lead scoring setup in Clay, follow these steps: 1. Review your formula: Make sure your custom formula in the Formula Generator includes all 7 variables correctly. 2. Check data consistency: Ensure all 7 variables have data for each row. Missing data can cause inconsistent scoring. 3. Verify data types: Confirm that the data types for each variable match your formula's expectations (e.g., numbers for numeric scoring, text for categorical scoring). 4. Test with sample data: Create a small dataset with known values to validate your formula's behavior. 5. Use conditional statements: If some variables are optional, use IF statements to handle missing data. If issues persist, consider sharing your formula and a sample of your data for further assistance. If you need more help, request human assistance by clicking on "Talk to a person" in this chat.
Sources: Lead Scoring [Clay 101] - Clay University Lead scoring overview | Documentation | Clay University
Jesse B.
·
·
Almost fixed! But for some reason the company size does not come through. Do you know why?
Jesse B.
·
·
Here is a screenshot
Channeled
APP
·
·
There could be a few reasons why the company size variable isn't coming through in your lead scoring setup: 1. Data enrichment issue: Ensure you've properly enriched your data with company size information. This typically involves using company domains to fetch headcount data. 2. Formula problem: Review your custom formula in the Formula Generator. Make sure it correctly includes the company size variable. 3. Data consistency: Check if the company size data is available for all rows. Missing data can cause inconsistent scoring. To fix this: 1. Verify your data enrichment process for company size. 2. Double-check your formula in the Lead Scoring modal. 3. Ensure company size data is present for all leads. If you need more help, request human assistance by clicking on "Talk to a person" in this chat.
Sources: Lead Scoring [Clay 101] - Clay University Lead scoring overview | Documentation | Clay University
Jesse B.
·
·
talk to a person.
Channeled
APP
·
·
This thread was picked up by our in-app web widget and will no longer sync to Slack. If you are the original poster, you can continue this conversation by logging into https://app.clay.com and clicking "Support" in the sidebar. If you're not the original poster and require help from support, please post in 02 Support.