Implementing Filters for Waterfall Enrichment on LinkedIn URLs | Clay

Implementing Filters for Waterfall Enrichment on LinkedIn URLs

Hello! I am using email to do Waterfall Enrichment of Linkedin Profile URL. One of the suppliers is giving me wrong information. I want to consider anything with a Company Confidence of less that 0.7 to be ignored and for the next enrichment service to kick in. Is this possible?

6 comments

Channeled
APP
·
·
Currently, our waterfall enrichment process doesn't have a built-in feature to automatically ignore results based on a specific confidence threshold. The waterfall typically stops when it finds any valid result, regardless of the confidence score. However, you can work around this by using a combination of enrichment steps and formulas: 1. Run your email enrichment waterfall as usual. 2. Add a separate enrichment step to get the "Company Confidence" score. 3. Use an AI formula to check if the confidence is below 0.7. 4. If it's below 0.7, use another formula to clear the email field, allowing the next enrichment service to run. This approach would require some manual setup but should achieve your desired outcome. Would you like more details on setting up these formulas or enrichment steps?
Sources: Enrich Companies (Waterfalls) [Automated Inbound] - Clay University Enrich Companies (Waterfalls) [Clay 101] - Clay University
Amit Z.
·
·
Yes
Channeled
APP
·
·
To set up your enrichment process to ignore results with a "Company Confidence" score below 0.7 and allow the next service to run, you can use AI formulas and conditional runs in Clay. Here's how: 1. Add an enrichment column for the "Company Confidence" score. 2. Create a new column for the next enrichment service. 3. In the new column's settings, click on "Run Settings" and then "Conditional Run". 4. Use the AI to generate a formula that only runs if the Company Confidence score is greater than or equal to 0.7. This setup ensures that the next enrichment service only runs when the confidence score meets your criteria, saving credits and improving data quality. If you need further assistance, please request human help by clicking "Talk to a person".
Sources: AI Formulas + Conditional Runs [Clay 101] - Clay University AI Formulas + Conditional Runs [Clay 101] - Clay University
Amit Z.
·
·
Nope. That is a good feature request.
Bruno R.
·
·
Hi Amit, thanks for your message. Do you mind sending the link (url) to the table so we can take a look?
(52 kB)
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.