The $2.5M
Pipeline Machine
Qualified Leads
/mo
Cost Per Lead
$
Open Rate
%
Pipeline Value
$M
The Problem
CloudScale's SDR team was burning out. They were making 100 calls a day with a conversion rate of less than 1%. The data was bad, the scripts were generic, and morale was at an all-time low.
- 0.8% cold call conversion rate
- $380 cost per qualified lead
- 60% SDR team turnover annually
Our Fix
We replaced manual prospecting with a **Multi-Channel AI Outreach** system. We used enriched data to find exact decision-makers, then hit them with hyper-personalized sequences across LinkedIn, Email, and Twitter—simultaneously.
- AI-powered prospect enrichment
- Multi-channel automation (Email, LinkedIn, Twitter)
- Hyper-personalized messaging at scale
What We Did
Data Enrichment
Used Apollo.io and ZoomInfo to build a database of 50,000 decision-makers. Filtered by job title, company size, tech stack, and recent funding rounds.
AI Personalization Engine
Built GPT-4 prompts to generate personalized messages based on prospect's LinkedIn activity, company news, and pain points. Each message felt 1:1.
Multi-Channel Sequences
Set up 14-day sequences: LinkedIn connection → Email → Twitter DM → LinkedIn message → Email follow-up. Automated via Instantly.ai and Phantombuster.
CRM Integration
Connected HubSpot to track every touchpoint. SDRs only talked to warm leads who had engaged 3+ times. Conversion rate jumped to 18%.
The Results
Qualified Leads Per Month
$
Cost Per Lead (down from $380)
$M
Pipeline Value Generated
Key Achievements
- 88% reduction in cost per lead
- 78% email open rate (industry avg: 21%)
- 18% meeting booking rate
- $2.5M in pipeline value in 90 days