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Case Study
Case study: 3x pipeline with automated outbound
December 20, 20246 min read
The challenge
A Series B SaaS company was struggling to scale their outbound motion. Their SDR team was spending 60% of their time on research and only 40% on actual outreach.
The solution
We implemented an automated research and prioritization system:
1.Signal Detection: Automated monitoring for buying signals (funding, hiring, tech stack changes)
2.Account Scoring: Custom model to rank accounts by fit and timing
3.Research Automation: Automated company and contact research with AI-generated insights
4.Personalization Engine: Dynamic content generation based on account attributes
The results
After 90 days:
•**Pipeline increased 3x** with the same team size
•**SDR research time dropped from 60% to 15%**
•**Email response rates improved by 40%**
Key learnings
The biggest impact came from better targeting, not just more outreach. By focusing SDR time on the highest-signal accounts, every touchpoint became more valuable.