Lumana Case Study: 41 Meetings in the First Month, 3x More Qualified | Floqer

How Lumana's GTM team used Floqer to replace manual research with an automated motion that booked 41 qualified meetings in the first month

A conversation with

Omri Orgad
VP of GTM Engineering

Philip Arbeiter
Head of Sales Development

Idan Spiegler
Lead Intelligence and Pipeline Ops

Molly Young
Senior Manager of RevOps

At a glance

Lumana, an AI video security platform, used Floqer to automate account research and Salesforce enrichment across K-12, higher education, and senior living. In the first month, Lumana booked 41 qualified meetings (roughly 3x its prior monthly rate), enriched 10,000+ accounts, cut pre-call research from 15-20 minutes per account to zero, and saved $50K+ on event attendee lists.

Metrics Values
Meetings Booked in First Month 41
Accounts Enriched 10K+
Minutes of Manual Pre-Call Research 0
Active Workflows Running 4

About Lumana

Lumana is an AI-powered physical security platform that helps organizations monitor, manage, and respond to security events across multiple sites using intelligent video analytics. Their platform is built for multi-location environments: K-12 schools, higher education campuses, senior living communities, and enterprise facilities, where security complexity scales with every new building added.

The Challenge

Before Floqer, Lumana's research process looked like this:

On the rep side: before any cold call or discovery, an SDR would open four or five browser tabs, which took about 15 minutes. They had to piece together information about recent news, the prospect's website, incident reports, and procurement portals.

On the ops side: RevOps was manually classifying accounts in Excel, which was time-consuming and inaccurate, creating inefficient territory assignments.

The Fix

1. ABM Scoring

Floqer built an ABM scoring workflow that autonomously researches each account before a rep ever sees it, prioritizing high-fit opportunities.

2. CRM Maintenance & Automated Account Scoring

Floqer runs every account through automated enrichment, providing complete profiles without manual input.

3. Event List Building

Floqer automates the process of building attendee lists from LinkedIn activity, saving costs on manual research.

4. Automated Outbound Sequencing

Floqer's sequencing tool identifies target personas, enriches contacts with relevant information, and automates outreach.

Before and After Floqer

Metric Before After
Pre-call research 15-20 minutes per account 0 minutes; security context lands in Salesforce automatically
Industry classification Manual, in Excel Automatic vertical classification
Event lists Purchased lists Built from LinkedIn signal activity; $50K+ saved
Qualified meetings Roughly a third of today’s rate 41 in the first month, 3x the prior monthly rate

The Results

In its first month running Floqer, Lumana booked 41 qualified meetings, enriched more than 10,000 accounts and 100,000 contacts, and saved over $50,000 on event attendee list purchases.

What's Running Now

Workflow Status
ABM Account Scoring Live
CRM Enrichment & Account Scoring Live
Event List Building Live
Automated Outbound Sequencing Live
SFDC Adhoc Enrichment Button In Build
Intent Integration Roadmap
GovSpend & Pursuit SLED Research Roadmap

Why It Worked

Floqer automated the research process that traditional databases could not handle, providing essential security data directly in Salesforce before any call is made.