Turn Signals Into Pipeline

ABM research dossiers save reps hours per account: Automated workflow finds lookalike companies from closed-won deals, enriches accounts with funding, competitors, and website highlights, finds key buyers, and delivers complete research packages to reps via Slack - eliminating manual prospecting time

Waterfall enrichment fixes the 40-60% data gap: Clay's native waterfall pulls contact and company data from multiple sources sequentially (Builtwith → TechStack → Similar Web) until complete data is found, maximizing coverage while controlling credit costs

Event leads need automation, not manual follow-up: Post-event CSV imports can be enriched, scored with custom formulas (HubSpot/Salesforce = higher score, other CRMs = negative), routed to reps for high-value accounts, or sent to AI-powered sequences for mass follow-up

AI lead scoring uses formulas, not guesswork: Clay combines headcount filters, tech stack presence, sales territory mapping, and signal triggers (Kwanzoo intent, page visits, hiring activity) into weighted scoring formulas that determine auto-follow-up vs. manual outreach

Credits are the real cost - sandbox before deploying: Every enrichment, AI prompt, and waterfall step consumes Clay credits; production workflows can burn 10,000+ credits on a single batch if not tested first - sandbox mode prevents expensive mistakes

Templates eliminate build-from-scratch time: Both ABM lookalike research and event lead automation workflows are available as cloneable templates at clay.stackandscale.ai with full video walkthroughs