How RevStack Doubled Reply Rates Using Scrapine Data
50-200 employees
2x
Increase in reply rates
12+
Personalization data points per lead
80%
Reduction in bounce rate
"The depth of data Scrapine provides changed how we write cold emails. Every message feels personal because we actually know who we are talking to."
— Priya Patel , Head of Growth
Challenge
RevStack, a marketing attribution platform, was running high-volume outbound campaigns that felt generic. Their SDRs were sending 200 emails per day but averaging reply rates under 2 percent. The problem was not volume but relevance. Without rich prospect data, emails defaulted to templated messages that failed to connect with recipients. Bounce rates hovered around 15 percent, further damaging sender reputation and deliverability.
The growth team had access to basic contact data, but lacked the technology stack, company news, and role-specific insights needed for meaningful personalization at scale.
Solution
RevStack integrated Scrapine into their outbound workflow to enrich every lead with deep context before any email was sent. Scrapine provided verified emails, technology stack data, recent company news, funding information, job tenure, and team size for each prospect. The enrichment data was pushed directly into Outreach, where the team built dynamic email templates that pulled personalization variables from Scrapine fields.
Instead of generic openers, emails now referenced the prospect’s specific MarTech stack, recent company milestones, or team growth patterns. The team also used Scrapine’s email verification to clean their lists before sending, dramatically reducing bounces.
Results
Within six weeks, RevStack’s cold email reply rates doubled from 1.8 percent to 3.7 percent. Bounce rates dropped from 15 percent to under 3 percent, improving overall deliverability scores. The team found that emails mentioning a prospect’s technology stack had 4.2x higher reply rates than generic messages. Monthly pipeline from outbound grew by 45 percent, and the team was able to reduce daily send volume while generating more pipeline, a clear sign of quality over quantity.