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Scrapine by GTM S t a c k
Agency

How GrowthLabs Agency Automated Client Prospecting with Scrapine

10-50 employees

40

Qualified opportunities per month

25

Hours saved on prospecting weekly

55%

Client acquisition cost reduction

"As an agency, we practice what we preach. Scrapine lets us run the same data-driven prospecting we build for our clients on our own pipeline."

— Elena Vasquez , Founder & CEO

Challenge

GrowthLabs, a growth marketing agency specializing in B2B SaaS, faced the classic agency paradox: they were so busy delivering for clients that they neglected their own business development. The founding team was handling prospecting manually between client calls, resulting in inconsistent pipeline and feast-or-famine revenue cycles. They needed a systematic approach to finding new clients but could not justify hiring a full-time business development rep.

Their ideal clients were B2B SaaS companies in the Series A to Series C stage that were scaling their marketing function, but identifying these companies manually was time-consuming and unreliable.

Solution

GrowthLabs set up Scrapine to automate their entire prospecting engine. They configured scraping rules to identify SaaS companies that had recently raised funding, were hiring their first marketing roles, or had launched new products. Scrapine monitored Crunchbase, LinkedIn, product launch platforms, and tech press for these signals.

Each identified company was enriched with founder and VP Marketing contact data, technology stack, and company size. The leads were synced to a Google Sheets-based pipeline tracker and Slack channel, where the founding team could review and approve leads for outreach. Approved leads were automatically pushed to their Outreach sequences.

Results

GrowthLabs went from generating eight to twelve qualified opportunities per month to a consistent 40. Weekly prospecting time dropped from 25 hours across the team to near zero. Client acquisition cost decreased by 55 percent as the founders shifted from manual hustle to automated, data-driven prospecting. The predictable pipeline allowed them to plan hiring and capacity with confidence for the first time.

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