CLIENT CASE STUDY · LINKEDIN OUTREACH · B2B PIPELINE GENERATION
How OpsMx Built a Predictable LinkedIn Outreach Engine
A structured, human-supervised LinkedIn outreach system helped OpsMx move from inconsistent meeting generation to a scalable pipeline program across multiple cybersecurity and engineering audiences.
5,609
Prospects across 12 campaigns
54%
Reply rate among accepted connections
76
Meetings booked or requested
3.1 days
Median time to first reply
About OpsMx
OpsMx provides an AI security remediation platform for identifying, prioritizing, and remediating risk across code, software delivery, Kubernetes, cloud, and runtime environments.
The company needed a more consistent way to reach senior engineering, DevSecOps, application-security, vulnerability-management, and information-security decision-makers through LinkedIn.
The Challenge
Before the engagement, LinkedIn outreach was producing approximately zero to one qualified meeting per week. Scaling the work manually required substantial time, and the team needed greater consistency across ideal-customer-profile selection, prospect research, messaging, campaign execution, follow-up, and appointment generation.
“When we started, one of our key challenges was generating a consistent flow of qualified meetings with the right Ideal Customer Profiles. Our outreach efforts were yielding barely 0–1 meetings per week.”
Shashank Srivastava, Country Director, OpsMx
The Outreach System
1. Refine the ICP
Identify relevant buyer groups, decision-makers, industries, locations, and seniority levels for each campaign.
2. Segment Campaigns
Build dedicated campaigns for CTOs, CISOs, engineering leaders, AppSec leaders, vulnerability-management leaders, and BFSI security buyers.
3. Manage Sequences
Configure structured outreach and follow-up while keeping human review available for important decisions and conversation handling.
4. Optimize Continuously
Review acceptance, reply quality, outcomes, response timing, meeting-link usage, and campaign-level performance to improve the system.
Campaign Results
3,478 Contacted
Sixty-two percent of the 5,609 prospects had entered active outreach at the time of the export.
480 Replies
The campaigns produced 480 replies from 883 accepted connections, representing a 54% reply rate.
195 Warm Leads
Forty-one percent of replies were classified as interested, positive, or information-seeking conversations.
52 Meetings Booked
Another 24 replies had reached the meeting-request stage, for 76 booked or requested meetings in total.
80% Replied Within a Week
The median response time was 3.1 days, showing that most engagement happened soon after outreach began.
Step 2 Led Replies
The second sequence step generated 180 of the 388 replies with identifiable step data, or 46%.
From Inconsistent Meetings to a Repeatable System
“We went from struggling to generate even one meeting a week to consistently securing 2–3 meetings weekly, occasionally reaching as many as 5. More importantly, she replicated this success across our sales team.”
Shashank Srivastava, Country Director, OpsMx
Client Testimonial
Shashank Srivastava
Country Director, OpsMx
What Made the Engagement Work
- Clear ownership of ICP research, campaign setup, sequences, and optimization
- Campaign segmentation for distinct security and engineering buyer groups
- Automation combined with human review and approval
- Continuous analysis of replies, outcomes, and conversion bottlenecks
- A focus on qualified meetings and measurable pipeline outcomes rather than activity alone
Build Your Own LinkedIn Appointment Engine
If you want to create a more focused, measurable, and repeatable outbound system, let’s map the right approach for your market and offer.
Results shown are from the referenced campaign export and client testimonial. Individual results vary based on market, offer, list quality, messaging, execution, follow-up, and sales process.