Clarification on Company Listings and C-Suite Profiles Discrepancy

Abdullah A. · 2025-01-29 18:05:00.242338+00

hey - I am 100% sure that companies like Google, LinkedIn, Salesforce, Adobe are not on my list - curious why I see these people in the preview? Secondly all 310 companies has employee size 11-200 but I see 30k C suite profiles out of 310 companies!!

Clarification on Company Listings and C-Suite Profiles Discrepancy | Clay

10 comments

· Sorted by Oldest

Channeled
APP
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The data discrepancies you're seeing could be due to a few factors: 1. Data Provider Limitations: The employee data might show inaccuracies because our data providers don't use active sessions or cookies to scrape LinkedIn data live. Some LinkedIn fields are only visible when logged in, which can affect data accuracy. 2. Likelihood Score Impact: The accuracy of company matches depends on the likelihood score setting. A lower score (around 2) has only a 10-30% chance of being the correct company. For higher accuracy, you should use a likelihood score of 6 or higher.To get more accurate results, you can: ** Adjust the minimum likelihood score in your search criteria ** Double-check your company identifiers and filters * Ensure your role and country filters are properly setThese steps will help you get more precise matches for your target companies and their employees. Sources: Companies, People, and Jobs x Clay integration | Clay.com Get Employee Count by Criteria with People Data Labs
LuisArturo
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Hey there Abdullah thanks for reaching out, to give some context here this is a known issue that the team is addressing where smaller sized companies may have their website hosted on a larger company's web hosting server. What ends up happening is the provider we use attempts to find the most likely final page for the companies which in some cases means it ups believing that these larger companies such as Google and Salesforce can be tracked. This issue also contributes to why you are finding a ridiculously high number of C Suite profiles, as these larger companies such as Google and Salesforce are included, and their C suite members end up being pulled as well.
Abdullah A.
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is it fixed now?
Abdullah A.
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I am still having the same problem. Any updates please???
Bo (.
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Hey Abdullah! You're right to wonder about when this will be fixed. Just so you know - this won't be an immediate one since it requires our team to 1. spot it 2. remove it. When you see these issues, please use the left click > leave feedback option so our data team can address them faster In the meantime, here are your two immediate options: 1. Remove those incorrect domains manually (quick tip: use cmd/ctrl + F to find them) 2. Switch to LinkedIn enrichment for more accurate results right now Let me know if you'd like help setting up either of those workarounds! https://downloads.intercomcdn.com/i/o/w28k1kwz/1360876568/eb1b4ad65f701b7283cabefc9a7f/CleanShot+2025-02-01+at+_510Hnm8npb.gif?expires=1738415700&signature=01f8730a8bb762569c406e5d1ed52986afcfa211e4ff39454815ae91ea3cc89c&req=dSMhFsF5m4RZUfMW1HO4zVUd7SG1p4Xu3dZtVOcDA39n0TuurpTolthkTX79%0AprcI%0A
Channeled
APP
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Hi Abdullah A.! This thread was recently closed by our Support team. If you have a moment, please share your feedback:
Abdullah A.
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hey - use the same problem again even though i selected :LinkedIn Profile Link again. It's been 20 days and isn't it resolved yet?
Bo (.
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abdullah - Do you mind sending the link (url) to the table so we can take a look?
(52 kB)
Abdullah A.
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https://app.clay.com/workspaces/327860/tables/t_Rv2CuVDMCauF/views/gv_bWdjJdRah4Gj
Bo (.
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Hi Abdullah! I apologize for this issue. Our data team is working on the data when it's being flagged like in this gif, but it it can take time since it need to update multiple data sources. For now, I suggest removing those columns from your view and I've also left feedback for those rows with errors. Let me know if you need help adjusting your view here.
(1082 kB)

Loading comments

Channeled
APP
·
·
The data discrepancies you're seeing could be due to a few factors: 1. Data Provider Limitations: The employee data might show inaccuracies because our data providers don't use active sessions or cookies to scrape LinkedIn data live. Some LinkedIn fields are only visible when logged in, which can affect data accuracy. 2. Likelihood Score Impact: The accuracy of company matches depends on the likelihood score setting. A lower score (around 2) has only a 10-30% chance of being the correct company. For higher accuracy, you should use a likelihood score of 6 or higher.To get more accurate results, you can: ** Adjust the minimum likelihood score in your search criteria ** Double-check your company identifiers and filters * Ensure your role and country filters are properly setThese steps will help you get more precise matches for your target companies and their employees. Sources: Companies, People, and Jobs x Clay integration | Clay.com Get Employee Count by Criteria with People Data Labs
LuisArturo
·
·
Hey there Abdullah thanks for reaching out, to give some context here this is a known issue that the team is addressing where smaller sized companies may have their website hosted on a larger company's web hosting server. What ends up happening is the provider we use attempts to find the most likely final page for the companies which in some cases means it ups believing that these larger companies such as Google and Salesforce can be tracked. This issue also contributes to why you are finding a ridiculously high number of C Suite profiles, as these larger companies such as Google and Salesforce are included, and their C suite members end up being pulled as well.
Abdullah A.
·
·
is it fixed now?
Abdullah A.
·
·
I am still having the same problem. Any updates please???
Bo (.
·
·
Hey Abdullah! You're right to wonder about when this will be fixed. Just so you know - this won't be an immediate one since it requires our team to 1. spot it 2. remove it. When you see these issues, please use the left click > leave feedback option so our data team can address them faster In the meantime, here are your two immediate options: 1. Remove those incorrect domains manually (quick tip: use cmd/ctrl + F to find them) 2. Switch to LinkedIn enrichment for more accurate results right now Let me know if you'd like help setting up either of those workarounds! https://downloads.intercomcdn.com/i/o/w28k1kwz/1360876568/eb1b4ad65f701b7283cabefc9a7f/CleanShot+2025-02-01+at+_510Hnm8npb.gif?expires=1738415700&signature=01f8730a8bb762569c406e5d1ed52986afcfa211e4ff39454815ae91ea3cc89c&req=dSMhFsF5m4RZUfMW1HO4zVUd7SG1p4Xu3dZtVOcDA39n0TuurpTolthkTX79%0AprcI%0A
Channeled
APP
·
·
Hi Abdullah A.! This thread was recently closed by our Support team. If you have a moment, please share your feedback:
Abdullah A.
·
·
hey - use the same problem again even though i selected :LinkedIn Profile Link again. It's been 20 days and isn't it resolved yet?
Bo (.
·
·
abdullah - Do you mind sending the link (url) to the table so we can take a look?
(52 kB)
Abdullah A.
·
·
https://app.clay.com/workspaces/327860/tables/t_Rv2CuVDMCauF/views/gv_bWdjJdRah4Gj
Bo (.
·
·
Hi Abdullah! I apologize for this issue. Our data team is working on the data when it's being flagged like in this gif, but it it can take time since it need to update multiple data sources. For now, I suggest removing those columns from your view and I've also left feedback for those rows with errors. Let me know if you need help adjusting your view here.
(1082 kB)