Case Study
Scaling to 500K Emails/
Month with EmailBison
By the Marketing Boutique team · Last updated: March 2026
Outbound infrastructure upgrade for a cybersecurity awareness training platform that scaled email capacity, meetings, and pipeline while reducing acquisition costs.
+316% Email Volume
+271% Qualified Meetings
–58% Cost per Meeting
Client
Cybersecurity Awareness Training Platform
Industry
Cybersecurity SaaS
Stage
Growth Stage
ACV
$18K – $45K
Case Snapshot

Email Volume 120K → 500K / month
Change: +316%
Pipeline Generated $420K → $1.6M / month
Change: +280%
Cost per Qualified Meeting $680 → $280
Change: –58%
Qualified Meetings 14 → 52 / month
Change: +271%
Key Results
At a Glance
Services Used: GTM Engineering, High Volume Outbound Timeline: 6 months ACV $18K $45K/year Stack: Email Bison · Clay · Make.com · HubSpot · Apollo · LinkedIn Sales Navigator
The Context
The Challenge
The outbound model required massive scale targeting 500K emails/month across 15,000+ contacts
Existing setup (80 domains, 160 mailboxes) capped at 120K emails/month, limiting growth
Shared sending infrastructure caused unstable deliverability, fluctuating week to week
Scaling required hundreds of domains and mailboxes, making operations complex and expensive

High volume outbound required scale the existing system couldn’t support.

Scaling volume required rethinking infrastructure, not just increasing output.
Constraint
The Core Problem
Scaling outbound was limited by shared infrastructure and unstable deliverability
The system couldn’t support high volume sending without operational complexity
Growth required a new infrastructure model, not incremental optimization
System Architecture
Our Approach
The solution was migrating to Email Bison moving from shared IP pools to single tenant dedicated IPs to stabilize deliverability, and using their API for bulk provisioning.
DRAG TO EXPLORE

Performance Breakdown
Reply rates by segment
Hot AI personalized : 3.8%
Security breach trigger news signal : 6.2%
Competitor displacement KnowBe4/Proofpoint : 4.1%
Standard Template : 1.6%
Cost Efficiency
Cost per qualified meeting
$280 per qualified meeting
Previous cost : $680 per meeting
Total engagement investment $87K over 6 months including infrastructure, automation, and AI operations

Lessons Learned
What Didn’t Work
and What We Changed
Building a multi agent pipeline required several iterations. Here are the key issues we encountered and how we fixed them.
Infrastructure Issue
Reply handling broke under custom Make.com setup
Replacing Smartlead’s native Unibox introduced complexity in handling reply data. Early-stage parsing issues caused duplication and inconsistent threading, impacting CRM accuracy and response tracking.
Problem
Custom reply handling caused duplicate records (~8%) due to improper parsing and multi-part reply issues.
Fix
Added deduplication using email + timestamp and a delay to allow proper consolidation before processing.
Deliverability Constraint
IP warmup lag limited inbox placement at scale
While domains were ready, IP reputation lagged behind, reducing inbox placement for high-sensitivity targets. This exposed IP warmup—not domain setup—as the real bottleneck at scale.
Problem
Low inbox placement (84%) due to underdeveloped IP reputation despite domain readiness.
Fix
Throttled traffic and extended IP warmup, prioritizing reputation before scaling volume.
Personalization Gap
Generic sequences triggered spam complaints
High-volume outreach without sufficient variation made emails feel automated. Lack of contextual personalization increased spam signals and reduced deliverability.
Problem
Standard sequences triggered a 0.4% spam complaint rate due to low personalization.
Fix
Introduced dynamic variables and industry-specific proof points, reducing complaints to 0.15%.
FAQ
Frequently
Asked Questions
Have questions? Our FAQ section has you covered with
quick answers to the most common inquiries.
What is the difference between shared IP and dedicated IP email sending?
How many sending domains do you need for high-volume outbound?
Is high-volume outbound just spam?

Get Started
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