Context
Michael Rodriguez is a senior technical recruiter at a boutique agency dedicated to software engineering, data science, and DevOps positions. He works exclusively with venture backed startups and high-growth tech firms who are looking to fill senior engineer, tech lead, and specialized technical roles.
Michael, like most recruiters, felt the sting of a sourcing bottleneck. It was not about lack of qualified candidates, it was about getting their contact details. He would spend hours scrolling through LinkedIn finding ideal candidates then spend hours searching in tool after tool, website after website looking for an email address or a phone number. He had a success rate of about 40%. My “perfect candidates” by the way, 6 out of 10, were unreachable.
Time-to-fill metrics suffered dramatically. Michael estimated that 60-70% of his time spent on sourcing, finding contact details, etc. — basically everything but the actual recruiting conversation. When it took 45–60 days to fill these roles, client relationships soured. Inactive applicants took different positions before Michael could reach them.
His agency director then set a quarterly milestone: reduce average time-to-hire by 40% in Q3, while increasing placement volume by 30%. What he was doing now — LinkedIn sourcing + jerry rigging contact finding — Michael knew wasn’t going to cut it. What he really needed was a database that linked candidates to verified contact information.
Introduction
Michael discovered SignalHire for recruiting while researching talent intelligence platforms. The comprehensive database promised 850M+ profiles with verified emails and phone numbers—exactly what he needed. After starting a free trial, he immediately saw how it could eliminate his sourcing bottleneck.
He was simply looking to:
- a) locate qualified candidates and their contact details in one click;
- b) save hours spent on seeking out emails and numbers;
- c) have ready talent pools for reoccurring deals;
- d) devote less time to candidate research and more time to candidate conversations.
Out of all the alternatives they tried, Michael chose SignalHire for three specific reasons. It contained difficult to acquire contact information and was exhaustive on technical talent. With the help of advanced filters, you can filter candidates based on the required technical skills and experience. Lead Lists allowed us to manage talent pools systematically and for multiple searches at a time.
Solution
Here’s what Michael needed from our Database. The platform integrated finding candidates with verifying contact info into one seamless workflow.
By full technical talent coverage, Michael meant the characteristics that he placed greatest value on. SignalHire 850M+ Profiles: software engineers, data scientists, DevOps, and technical leads for every programming language, framework and technology stack. Far more coverage than went visible on LinkedIn.
Niche or laser targeted candidate search option He was able to filter by particular technical skills (Python, React, Kubernetes), years of experience, company where the person was currently working, location, job title, and dozens of other factors. In just a few minutes he matched clients with candidates perfectly matching their exact specifications.
The key breakthrough was direct contact verification in real-time. It provided verified email address for 90% of the candidates and phone numbers for 80%. It led to real-time validation of every contact with 95% accuracy Gone were the days of bounced emails and disconnected numbers.
Bulk profile enrichment — This greatly increased his productivity. Michael could also enrich every one of their contact data and identify as many as 1,000 potential candidates. It had gone from more than a week — to 1 hour and 37 minutes. He could create full talent pools for client searches without endless rounds of laborious research.
The Lead Lists provided a very orderly way of handling your talent pools. Michael simply set up new lists, broken down by technical specialties, levels of experience, and geographic markets. He created permanent talent pools for customers with repeat requirements. Organized Talent Search by Candidate Search, Client & Skills
Template-ATS integration has been a one-click process all along — no double data entry required there. With all contact information, skills, and experience details, SignalHire exported up to 1,000 candidate profiles directly to their applicant tracking system. This non-stop integration led to quicker candidate interactions.
Talent pools were continuously updated with the automatic profiling updates. Applied — and every time candidates changed jobs SignalHire tracked that. Data represented the truth when they would have new skills or certifications. Talent pools that Michael creates stayed relevant automatically, without needing a human to log in and maintain them.
Process
Michael’s first assignment was a dedicated client brief searching for 5 senior React developers at Series B firm. Here’s his systematic approach.
The first thing he did was in the search box of SignalHire, and he set precise criteria for candidates. He searched for titles of “Senior Software Engineer” or “Lead Engineer” and used React, TypeScript and Node filters. js skills. Specifically he was looking for people with 5+ years experience, who work at tech companies with 50–500 employees, and who are located in the US.
The execution on the search resulted in 2,847 candidates matching as a return. Michael zeroed in filters like candidates at companies with great engineering cultures, and at companies that had recently raised money. That gave him 743 candidates for the job.
He went through the top 200 profiles, shortlisted 150 that perfectly matched his client’s criteria. Then, with one click he saved all 150 to a Lead List titled “Xyz Client Series B React Engineers.”
As soon as the 150 profiles were imported, SignalHire enriched them with contact details. We were able to locate email addresses for 137 of those candidates (91%). Phone numbers for 119 (79%). Every profile contained extensive information: current position and duration, technical skill set, previous employment history, education, and social profiles.
David exported the complete list to his ATS with a single click. It moved all of our candidate info, phone numbers, and skills over with no issues. Bang — his ATS was now filled with 150 relevant, reachable candidates ready for outreach.
He mapped out his outreach approach based upon the detail abundant data of SignalHire. One messaging approach to candidates at direct competitors Others at nearby companies got a different one. That in-depth profile info allowed for real personalized outreach.
Michael activated multi-channel candidate engagement over the coming week. He shot out bespoke emails and pointed to specific areas of their journey. He sent the LinkedIn connect with a little context. He called able-bodied individuals. Because the contact data was verified, he knew he was actually messaging humans.
Michael conducted a distinct enterprise client search using the company database feature on SignalHire. He then mentioned the 50 companies which he knew for their better DevOps engineering teams. Then he pulled Senior DevOps Engineers at those companies. That second, top-down way revealed passive candidates who where not looking for the job.
Hall also created evergreen talent pools for repeat client requirements. He made Lead Lists of the most requested roles like Senior Python Engineers, Machine Learning Engineers, Engineering Managers, etc. When new candidates showed up in the search results, he popped them into the appropriate pools. This evergreen lists allowed us to respond quickly to new client queries.
Outcomes
Michael was very surprised at the results. Using SignalHire’s database, he found 847 candidates in 12 client searches across over 60 days. He went from 40% to 89% success with contact info. Eight in ten of the candidates contacted had usable contact details.
Even more importantly, 183 candidates responded to his outreach in a substantive way. That’s a 22% engagement rate. His old sourcing methods got 8–10% engagement, on average. Coupled with great targeting, verified contact data made all the difference.
Michael set up no fewer than 94 phone screens with real candidates. These yielded 68 candidates who were then sent for client interviews. Thirty-two interviews resulted in offers. We placed 23 successful offers.
Time savings proved transformational. Michael shortened the time it takes you to source from 30 hours per search to 4 hours. He removed the back and forth slaving for contact on different sites/tools. Over here, SignalHire steps up by providing verified results all in one place.
Time-to-fill metrics improved dramatically. Time-to-hire was halved from 52 days to just 26 days average. Faster sourcing meant faster submissions. Faster submissions meant faster interviews. Quicker interviews yielded quicker job offers before candidates would take other opportunities.
Client satisfaction soared. There were noticeably better candidates and quicker delivery that hiring managers liked. Due to Michael’s great work, a number of clients increased their partnership. There was a 40% spike in referrals for new clients.
It changed the way he organized himself. Talent pools of skills, experience, and client type were organized in Lead Lists So, when new searches came in, Michael was able to quickly identify candidates in a good range who were suitable for the position; then he could move on. And so no more rebooting the whole experience for each new role.
In under six months, Michael had created 23 distinct technical talent pools. He had over 5,000 qualified, reachable candidates in his various databases. He increased placement volume by 2.8x YOY, while cutting sourcing hours by 60%.
Sales teams creating prospect databases and marketing teams building out account lists achieved similarly strong results. Well, serious, big companies were using these kinds of tools, and it was really just the power of the old. But the access to accurate, complete data raised the performance of every go-to-market function.
The Verdict
Michael realized that good recruiting begins with good data — specifically, complete and correct data. Using SignalHire’s Database, he went from being a recruiter who was buried in manual research to a strategic talent advisor who takes data-backed decisions and guarantees output time after time.
To uncover the intelligence behind his success, it was never merely the technology. He spent time precisely defining what he needed in a candidate. He organized talent pools by field and seniority so streamline it systematically. He created one to one outreach based on detailed profile data. It was a database of verified contacts and detailed profiles, but Michael’s strategy was to convert data to placements.
Michael also has three tips for any recruiters with similar sourcing struggles. Instead of going with the next best thing, make use of the advanced filters to identify the candidates who fit your requirements to a T. Accelerate new searches for recurring client needs by creating evergreen talent pools Skip the friction and keep the momentum going with an export directly to your ATS.
SignalHire’s Database gave Michael his time back while dramatically improving results. His manual contact hunting is eliminated. His candidate reachability frustrations are solved. His placement rate is higher than ever.
Start your free trial today and transform your recruiting sourcing into a predictable, scalable system.
Frequently Asked Questions
Q: What makes SignalHire the best database?
A: SignalHire offers extensive & actionable B2B contact database for you. 850M+ profiles – real-time sourced profiles with a verified email address, a suite of recruiting features to make sourcing and outreach as easy as it’s ever been.
Q: Can I find contacts for niche industries and roles?
A: Absolutely, we do have specialists in all the niche professionals across industries. You can filter searches by job titles such as account executive, marketing and founder, to get the precise sales contact details you seek. This means recruiters are tasked with finding whatever specialized technical talent they can in any programming language or technology stack.
Q: How accurate is the sales contact data?
A: Check 95% of all contacts are checked and verified in real-time. It offers reliable data augmentation and reduces outreach that falls on deaf ears. You can find email addresses for 90% of people and phone numbers for 80% of people.
Q: Is there a free way to test the database?
A: How do new users get credits to use the platform? It allows startups and growing teams to prospect the correct contacts and allows the recruitment agencies to test the platform before purchasing.
