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Fintech

How FinEdge Generated $4M in Pipeline from Scrapine Leads

100-500 employees

$4M

Pipeline generated

2,500+

CFO-level contacts discovered

8.5%

Conversion rate from lead to meeting

"Finding and verifying CFO contact data was our biggest bottleneck. Scrapine solved it completely and our pipeline has never been healthier."

— David Okafor , VP Sales

Challenge

FinEdge, a financial operations platform for mid-market companies, needed to reach CFOs, Controllers, and VP Finance contacts at companies with 100 to 2,000 employees. These finance leaders are conservative buyers who respond poorly to mass outreach. The sales team needed highly accurate contact data combined with financial context like recent funding rounds, IPO filings, and growth metrics to craft relevant, credible outreach.

Their existing data provider covered fewer than 40 percent of their target contacts with verified emails, and phone number coverage was even worse. The team was burning through budget on data that did not convert.

Solution

FinEdge deployed Scrapine to build a comprehensive database of finance leaders at their target companies. Scrapine scraped SEC filings, company about pages, LinkedIn profiles, finance conference attendee lists, and industry directories to identify and verify contacts. Each lead was enriched with company revenue estimates, recent funding events, technology stack, and financial reporting tools in use.

The enriched data fed into Salesforce and Salesloft, where reps used financial context from Scrapine to personalize every touchpoint. Outreach emails referenced specific financial milestones, tools in use, or compliance requirements relevant to each prospect’s situation.

Results

FinEdge discovered over 2,500 verified CFO-level contacts in their target market within the first quarter. Personalized outreach using Scrapine’s financial context data achieved an 8.5 percent conversion rate from lead to booked meeting, nearly triple their previous rate. Total pipeline generated from Scrapine-sourced leads reached $4M within six months. The cost per qualified meeting dropped by 47 percent compared to their previous data provider.

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