How to Fix 20-25% Wrong Emails Found by the Waterfall Tool

Reyhan Khan · 2024-11-22 10:05:59.483147+00

Hey guys, I noticed the waterfall is returning about 20-25% wrong emails, by that I mean it finds the wrong persons email in the company. How do I solve this? Table: Loom:

How to Fix 20-25% Wrong Emails Found by the Waterfall Tool | Clay

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Channeled
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Here are a few steps you can take to improve the accuracy of your email results: 1. Enable the "only mark safe to send" option in your email validation settings. This will exclude catch-all emails, which can sometimes be aliases rather than belonging to specific individuals. 2. Check the validation columns in your table to understand why certain emails are being marked as valid or invalid: • Unhide the validation columns to see how ZeroBounce (or your chosen validator) is processing the emails • Look for patterns in emails that fail validation checks 3. Ensure you have the correct "corner pieces" of data for each person: • Verify you have the accurate full name • Include the correct LinkedIn profile URL 4. Consider adding more providers to your waterfall to increase coverage and cross-validate results. By default, you have access to six providers, but you can customize this by adding more. Sources: Enrich People (Waterfalls) [Automated Inbound] - Clay University Enrich People (Waterfalls) [Clay 101] - Clay University Enrich People (Waterfalls) [Automated Outbound] - Clay University
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Hi Reyhan Khan! This thread was recently closed by our Support team. If you have a moment, please share your feedback:
Channeled
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Thanks! We've reopened this thread. You can continue to add more detail directly in this thread.
Reyhan Khan
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I'm not sure why this was closed automatically, I dont have my answer since its not about the quality of the email but it finds the wrong person
Channeled
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To improve the accuracy of email matching to the correct people, make sure you have accurate "corner pieces" of data for each person before running the waterfall: 1. Verify you have the correct full name of the person 2. Include their accurate professional profile identifier (like LinkedIn URL) 3. Confirm you have the right current company and domainThe waterfall works by matching a person's professional profile with their company domain to find the correct work email. If any of these key data points are incorrect or missing, it may lead to finding emails for the wrong people.You can check the validation process by unhiding the waterfall columns to see exactly how the matching is working and identify where potential mismatches might be occurring. Sources: Enrich People (Waterfalls) [CRM Enrichment] - Clay University Personalize outbound to former bosses of recent job movers | Clay
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Hi Reyhan Khan! This thread was recently closed by our Support team. If you have a moment, please share your feedback:
Bruno (Clay)
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Hi Reyhan, thanks for reaching out. Taking a look at this now!
Bruno (Clay)
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It seems you might be encountering some issues with column inputs in your setup. I’ve recorded this video to walk you through my findings and explain the error in detail: https://www.loom.com/share/b4f23e00a37c400f94d5eec728763ac9?sid=18dd8701-44a6-4d3b-bde6-80d41a922233

Channeled
APP
·
·
Here are a few steps you can take to improve the accuracy of your email results: 1. Enable the "only mark safe to send" option in your email validation settings. This will exclude catch-all emails, which can sometimes be aliases rather than belonging to specific individuals. 2. Check the validation columns in your table to understand why certain emails are being marked as valid or invalid: • Unhide the validation columns to see how ZeroBounce (or your chosen validator) is processing the emails • Look for patterns in emails that fail validation checks 3. Ensure you have the correct "corner pieces" of data for each person: • Verify you have the accurate full name • Include the correct LinkedIn profile URL 4. Consider adding more providers to your waterfall to increase coverage and cross-validate results. By default, you have access to six providers, but you can customize this by adding more. Sources: Enrich People (Waterfalls) [Automated Inbound] - Clay University Enrich People (Waterfalls) [Clay 101] - Clay University Enrich People (Waterfalls) [Automated Outbound] - Clay University
Channeled
APP
·
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Hi Reyhan Khan! This thread was recently closed by our Support team. If you have a moment, please share your feedback:
Channeled
APP
·
·
Thanks! We've reopened this thread. You can continue to add more detail directly in this thread.
Reyhan Khan
·
·
I'm not sure why this was closed automatically, I dont have my answer since its not about the quality of the email but it finds the wrong person
Channeled
APP
·
·
To improve the accuracy of email matching to the correct people, make sure you have accurate "corner pieces" of data for each person before running the waterfall: 1. Verify you have the correct full name of the person 2. Include their accurate professional profile identifier (like LinkedIn URL) 3. Confirm you have the right current company and domainThe waterfall works by matching a person's professional profile with their company domain to find the correct work email. If any of these key data points are incorrect or missing, it may lead to finding emails for the wrong people.You can check the validation process by unhiding the waterfall columns to see exactly how the matching is working and identify where potential mismatches might be occurring. Sources: Enrich People (Waterfalls) [CRM Enrichment] - Clay University Personalize outbound to former bosses of recent job movers | Clay
Channeled
APP
·
·
Hi Reyhan Khan! This thread was recently closed by our Support team. If you have a moment, please share your feedback:
Bruno (Clay)
·
·
Hi Reyhan, thanks for reaching out. Taking a look at this now!
Bruno (Clay)
·
·
It seems you might be encountering some issues with column inputs in your setup. I’ve recorded this video to walk you through my findings and explain the error in detail: https://www.loom.com/share/b4f23e00a37c400f94d5eec728763ac9?sid=18dd8701-44a6-4d3b-bde6-80d41a922233