Handling Missing Fields for Email Campaigns: Workarounds and Solutions

Sahil Senapaty · 2025-02-18 20:54:47.051482+00

What do you guys do when there are missing fields for Emails or Recent News etc? A lead cannot be pushed to campaign if there is no email id. Is there a workaround here?

Handling Missing Fields for Email Campaigns: Workarounds and Solutions | Clay

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Channeled
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When dealing with missing fields, Clay offers a solution through its data enrichment capabilities: 1. For missing email addresses and other basic information: • Clay can format and fill in missing data • Convert personal emails to work emails • Fill in firmographic data gaps 2. You can build a data foundation by: • Starting with basic "corner pieces" like names, email domains, and LinkedIn URLs • Using Clay's reverse waterfall enrichment on emails to find LinkedIn profile URLs • Employing Claygent to scrape the web for missing profile URLs • Extracting company domains from LinkedIn profiles • Using company enrichment for additional information This systematic approach helps ensure you have the necessary information before pushing leads to campaigns, allowing you to fill in missing data points through various enrichment methods.
Sources: Enrich, score, and message inbound leads automatically | Clay.com Lead Scoring [Clay 101] - Clay University
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Sahil Senapaty
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how is the above process different than the waterfall provided by default?
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Let me clarify the difference. The default waterfall process is a straightforward automated sequence where data providers are checked one after another until the desired information is found. For example, when looking for funding stage data, it might check Intellizence first, then Dealroom, then Harmonic, and so on. The process I described earlier was more about the overall data enrichment strategy, which involves: 1. First identifying your "corner pieces" - the fundamental data points like domains and company social URLs 2. Then using these corner pieces as a foundation to: • Round out the edges using waterfalls • Fill in trickier data points using AI Web Scraping (Claygent) This comprehensive approach combines multiple techniques to enhance your data quality and coverage, rather than relying solely on the waterfall sequence.
Sources: Enrich Companies (Waterfalls) [Automated Outbound] - Clay University Enrich Companies (Waterfalls) [Clay 101] - Clay University What is Data Enrichment? | Clay
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Hi Sahil Senapaty! This thread was recently closed by our Support team. If you have a moment, please share your feedback:

Channeled
APP
·
·
When dealing with missing fields, Clay offers a solution through its data enrichment capabilities: 1. For missing email addresses and other basic information: • Clay can format and fill in missing data • Convert personal emails to work emails • Fill in firmographic data gaps 2. You can build a data foundation by: • Starting with basic "corner pieces" like names, email domains, and LinkedIn URLs • Using Clay's reverse waterfall enrichment on emails to find LinkedIn profile URLs • Employing Claygent to scrape the web for missing profile URLs • Extracting company domains from LinkedIn profiles • Using company enrichment for additional information This systematic approach helps ensure you have the necessary information before pushing leads to campaigns, allowing you to fill in missing data points through various enrichment methods.
Sources: Enrich, score, and message inbound leads automatically | Clay.com Lead Scoring [Clay 101] - Clay University
Channeled
APP
·
·
Did that answer your question?
Sahil Senapaty
·
·
how is the above process different than the waterfall provided by default?
Channeled
APP
·
·
Let me clarify the difference. The default waterfall process is a straightforward automated sequence where data providers are checked one after another until the desired information is found. For example, when looking for funding stage data, it might check Intellizence first, then Dealroom, then Harmonic, and so on. The process I described earlier was more about the overall data enrichment strategy, which involves: 1. First identifying your "corner pieces" - the fundamental data points like domains and company social URLs 2. Then using these corner pieces as a foundation to: • Round out the edges using waterfalls • Fill in trickier data points using AI Web Scraping (Claygent) This comprehensive approach combines multiple techniques to enhance your data quality and coverage, rather than relying solely on the waterfall sequence.
Sources: Enrich Companies (Waterfalls) [Automated Outbound] - Clay University Enrich Companies (Waterfalls) [Clay 101] - Clay University What is Data Enrichment? | Clay
Channeled
APP
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Was that helpful?
Channeled
APP
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Hi Sahil Senapaty! This thread was recently closed by our Support team. If you have a moment, please share your feedback: