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Case Studies

Real teams. Real workflows. Real results. See how professionals across recruiting, sales, and agency use LeadzTrak to turn LinkedIn from a browsing tool into a pipeline engine.

How We Measure Impact

Every case study follows the same framework. We measure what changes before and after adopting LeadzTrak — not in abstract claims, but in specific, observable improvements to the daily workflow.

Time Per Lead
Before: 3–5 min manual entry
After: <10 sec one-click capture
Follow-Up Coverage
Before: 20–40% remembered
After: 95%+ with automated queue
Data Completeness
Before: 60–70% fields filled
After: 95%+ with AI enrichment
Team Collisions
Before: 2–5 per week (estimated)
After: 0 with conflict detection
Technical Recruiting

Senior Technical Recruiter

Team size: 1 (solo)

Pain Point

Reviewing 80+ LinkedIn profiles daily for engineering roles. Manually copying candidate data into an ATS was eating 2+ hours per day.

Solution

One-click profile extraction into role-specific groups (Frontend, Backend, DevOps). AI enrichment fills missing skills and company details.

Result

Candidate data capture reduced from 2+ hours to ~15 minutes daily. Pipeline organized by role and seniority without manual sorting.

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SaaS Sales

VP of Sales

Team size: 5 SDRs

Pain Point

Five SDRs prospecting the same ICP on LinkedIn. Duplicate outreach was embarrassing the team. No visibility into who was contacting whom.

Solution

Shared team workspace with conflict detection. Public groups organized by ICP segment. Shared message templates for consistency.

Result

Zero duplicate outreach incidents. 40% more qualified conversations per SDR per month. Pipeline visibility without micromanagement.

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Marketing Agency

Agency Owner

Team size: 8 (3 on outreach)

Pain Point

Managing LinkedIn prospecting for 6 clients simultaneously. Leads were getting mixed between client accounts. Client reporting was manual and took hours.

Solution

Per-client private groups with shared templates. Team members assigned to specific client pods. Export annotated lead data for client reports.

Result

Cross-client contamination eliminated. Client reporting time reduced from 3 hours weekly to 20 minutes. Added 2 new clients without hiring.

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Fintech Startup

Founder & CEO

Team size: 1 (solo)

Pain Point

Founder doing all sales. 200+ LinkedIn connections but no system to track who was warm, who needed follow-up, or what was discussed.

Solution

All existing connections imported as leads. Notes added per contact. Follow-up queue ensures no conversation goes cold.

Result

Response rate improved from ~12% to ~28% by following up consistently. Pipeline of 40 qualified conversations maintained without a CRM.

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Time Saved Calculator

Estimate how much time your team could recover by capturing leads in one click instead of manual entry.

Leads saved per day
20
~60 min saved/day
Leads saved per day
50
~2.5 hrs saved/day
Leads saved per day
100
~5 hrs saved/day

Based on 3 minutes of manual entry per lead vs. 10-second one-click capture.

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