Case Study: How We Helped DevSpark Studio (Formerly Tetrobyte) Increase Qualified Meetings by 325% Using AI-Powered Job Scraping and Automated Outreach
DevSpark Studio was struggling to find companies actively hiring developers and DevOps engineers.
Their manual prospecting process was time-consuming and ineffective. By implementing our Clay-powered system to automatically identify companies with active job listings and engage them with personalized outreach, we helped them:
Increase qualified meetings by 325% (from 4 to 17 qualified meetings per quarter)
Reduce prospecting time by 86% (from 35 hours/week to just 5 hours/week)
Improve close rate by 32% (from 22% to 29% conversion from meeting to deal)
Generate $132,000 in additional annual recurring revenue
Disclaimer: The results documented in this case study aren't guaranteed for everyone.
1. Before Working With Us: Manual Prospecting Hell
DevSpark Studio operates in a specialized niche - providing remote software development and DevOps talent to companies across the Europe. Before working with us, their lead generation process was extremely manual:
3 full-time salespeople spending 7+ hours per week manually searching job boards like Indeed and Glassdoor
No systematic way to identify companies actively hiring
Time wasted pursuing companies that weren't actually hiring
Relying on generalized messaging that didn't address specific hiring needs
Sales team spending more time on prospecting than actual selling
No consistent follow-up process leading to dropped opportunities
Difficulty tracking outreach effectiveness across multiple channels
Their CEO explained: "We had someone manually going through job portals trying to find companies looking for developers and DevOps engineers. It was incredibly time-consuming, and we felt like we were missing opportunities because we couldn't keep up."
2. Technical Setup: Building the Automated Engine
We built a comprehensive technical infrastructure using Clay as the foundation:
Job Scraping Setup:
Created custom Clay workflows to scrape LinkedIn, Indeed, and other job boards for specific technical roles (Full-Stack Developer, Front-End Engineer, DevOps Specialist, etc.)
Implemented AI filtering to remove staffing agencies and focus only on direct employers
Set up automatic daily refreshes to catch new job postings immediately
Data Enrichment Pipeline:
Built a decision-maker finder to identify tech company leadership and engineering managers
Implemented validation systems for email verification
Created company classification by size, industry, and tech stack
Outreach Automation:
Established secondary outreach domains with proper authentication
Developed email warming protocols to ensure deliverability
Created multi-touch sequence with proper spacing and follow-up logic
Built dashboard for tracking responses and meetings
The entire system runs automatically, requiring minimal oversight while delivering consistent results.
3. Deliverability Principles: Ensuring Messages Get Through
We implemented industry-best practices to ensure high deliverability:
Domain Separation: Created outreach-specific domains that redirect to the main website
Technical Authentication: Properly configured SPF, DKIM, and DMARC records
IP Warming: Gradually increased send volume to establish sender reputation
Engagement Tracking: Monitored open and reply rates to optimize sending schedules
Anti-Spam Compliance: Ensured all messages followed CAN-SPAM guidelines
Email Rotation: Used multiple sending accounts to maintain healthy sending ratios
Content Optimization: Tested subject lines and message content for spam triggers
These measures resulted in consistent 68%+ open rates and 4%+ reply rates throughout the campaign.
4. Tweaking Their Offer: Cold-Traffic Friendly Positioning
Before working with DevSpark, we noticed their messaging focused too heavily on their internal processes rather than customer outcomes. We helped reposition their offering to be immediately compelling to companies actively hiring:
BEFORE: "We have developed a team of software developers in Georgia who are trained in EU and US standards and can work remotely as extended team members."
AFTER: "When your company posts a developer job but can't find qualified talent for 60+ days, our EU-trained remote developers can start within 7 days at 35% of traditional hiring costs, with no long-term commitment and 2 week trial period."
Key changes included:
Emphasizing speed to deployment (7 days vs. typical 60+ day hiring cycles)
Highlighting cost savings with specific percentages
Addressing risk concerns with "no long-term commitment" language
Adding proof elements from similar firms
Creating a low-friction initial offer (2-week trial period)
5. Building a Lead List: AI-Powered Job Discovery
This was the most critical component of the system. We created a sophisticated Clay workflow that:
Identified Target Roles:
Full-Stack Developer
Front-End Engineer
Back-End Developer
DevOps Engineer
Cloud Architect
Software Engineer
Automated Daily Searches:
Set up 24-hour refresh cycles to find new job postings immediately
Implemented location filtering for US-based positions only
Created company-type filtering to focus on tech companies, startups, and enterprises with in-house development
AI-Powered Classification:
Used AI to analyze job descriptions for specific tech stack requirements (React, Node.js, AWS, etc.)
Identified seniority level to match with appropriate messaging
Determined urgency based on posting language and reposting frequency
Decision-Maker Identification:
Built workflows to find hiring managers, department heads, and executives
Validated contact information through multiple sources
Prioritized direct hiring managers over HR when possible
Engagement Scoring:
Created a proprietary scoring system to prioritize leads based on:
Recency of job posting (< 7 days scored highest)
Seniority of position (senior positions scored higher)
Company size and potential value
Specific keywords indicating urgency
This system now generates 5+ highly qualified placement interviews per month with minimal oversight.
6. Inbox Management: Staying Organized at Scale
As the campaign scaled, inbox management became critical. We implemented:
Centralized Response Dashboard: All replies from multiple sending accounts in one interface
AI-Powered Categorization: Automatic tagging of responses as interested, objection, not interested, etc.
Team Assignment: Routing responses to appropriate team members based on company size and needs
Follow-up Tracking: Automated reminders for responses requiring action
Meeting Scheduling: One-click scheduling links with calendar integration
Performance Analytics: Tracking of response rates, meeting conversions, and revenue attribution
This system reduced response handling time by 74% and ensured no opportunity was missed.
7. The Results: Transformed Business Development
After 90 days of implementation, DevSpark Studio achieved:
325% increase in qualified meetings (from 4 to 17 per quarter)
86% reduction in prospecting time (from 35 hours/week to 5 hours/week)
32% improvement in close rate (from 22% to 29%)
$132,000 in additional annual recurring revenue
2 new clients per month (up from 0.5 previously)
4.3-month payback period on the entire system investment
Their CEO reported: "The system has completely transformed our business development. We're now connecting with the right companies at exactly the right time - when they're actively looking to hire. Our sales team now spends their time selling instead of prospecting, and our growth has accelerated dramatically."
Ready to Transform Your Outreach?
If you're tired of manual prospecting and want to automatically connect with companies actively looking to hire for the positions you can fill, let's talk. Our system can be customized to your specific needs and typically delivers ROI within the first 90 days.
Schedule a consultation today to see how we can help you achieve similar results 👇
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