Case Study
Scaling a SaaS Startup's Pipeline
The Challenge: A B2B SaaS startup was struggling to book product demos. Their internal SDR team was using broad, untargeted data lists, leading to high bounce rates and low open rates. They were wasting thousands of dollars on ineffective ads and generic outreach sequences.
The Solution
I completely overhauled their lead generation infrastructure. Instead of scraping generic employee databases, we built a highly targeted, multi-tier list. We identified companies using competing software by analyzing technographics, then manually extracted the contact details for the VP of Sales and Directors of Revenue.
The Execution
- Technographic Scraping: Identified 1,200 companies actively using a competitor's tool that lacked a specific feature our client offered.
- Deep Verification: Extracted 2,500 decision-maker emails using Apollo.io, manually verified them against LinkedIn Sales Navigator, and scrubbed them through NeverBounce.
- Personalization: Added custom data points for each lead, such as the specific software they were currently using, to allow for highly personalized outreach sequences.
The Results
- Bounce rate dropped from 12% to under 0.8%.
- Open rates skyrocketed to 65% due to improved deliverability.
- Generated 42 qualified product demos in the first 30 days.