Real results from real pipelines
See how teams across industries use LeadsLogix to build verified prospect databases and drive sales pipeline.
From 0 to 3,102 verified contacts in 4 hours
Challenge
A manufacturing distributor needed to reach every exhibitor at a major trade show before the event. Manual research was taking 2 weeks and producing incomplete data.
Solution
Used the exhibition intelligence pipeline to extract all 847 exhibitors, crawl their websites, extract decision makers, discover and verify emails.
/expo -> /web-address -> /lead-scraper -> /google-emailscrape -> /verify -> merge
CRM data quality from 11% to 87% completeness
Challenge
A consulting firm had 2,400 companies in their CRM with only names and domains. 89% of contact fields were null. Sales reps were doing manual research for every prospect.
Solution
Ran the autonomous research pipeline with recursive enrichment (threshold: 80, max passes: 5) to fill missing contacts, emails, phones, and LinkedIn profiles.
CRM export -> autonomous_research.py --threshold 80 --max-passes 5 -> cleanup -> verify -> CRM reimport
77,000 exhibitor records in under 30 minutes
Challenge
A retail buyer network needed to map the entire exhibitor landscape across multiple trade shows in Asia. Thousands of companies across different portals and languages.
Solution
Deployed the WHR API scraper on VPS with 50 concurrent workers. Processed the full exhibitor database at 400 records/second.
WHR API scraper -> 50 workers on VPS -> JSON + CSV export -> enrichment pipeline
100K+ companies per day with the global engine
Challenge
A SaaS company needed to build a comprehensive database of potential customers across multiple verticals. Existing data providers had stale data and limited coverage.
Solution
Configured the global B2B engine with 4-queue Redis pipeline for continuous discovery, enrichment, and verification at scale.
Global engine (4-queue Redis) -> discovery -> enrichment -> verification -> intelligence graph