How to Cut Clay Credit Burn by 40-50% on Large Tables: Quick Cost Optimization Guide

How to cut Clay credit burn by 40-50% on large tables (Quick Guide) 💸 Credit wastage is a huge issue when building high-volume tables. Here are 4 strict rules I use to optimize costs: Strict Conditional Runs (Run Column If...): Never run an enrichment column if the data already exists or if the website URL is empty. Re-Order Waterfalls: Always run cheaper/native integrations first. Only trigger premium providers or Claygent if previous steps return NULL. Scrape First, AI Second: Don't use Claygent for raw page scraping. Use native HTTP/Scrapers first, then pass text to Claygent purely for synthesis.. Formula Pre-filtering: Clean and drop bad records using free Formula columns before hitting any API. Hope this helps anyone trying to keep their credit usage lean! Let me know if you want the formula setup for conditional waterfalls.