Cold Email Automation Agency

Your B2B Pipeline Runs on AI. You Just Close.

Deep-Y builds and operates AI cold email systems that hit 89% open rates and fill your calendar with decision-makers who match your ICP. No headcount. No setup. Running from day one.

89%
Open rate - AirCentral
$540K
Pipeline in 90 days - AirCentral
18K
Leads at $0.30 each - Aliro
Get a Free Pipeline Audit → See client results
Why it matters

AI cold email beats traditional agencies on every metric that matters

Three upgrades, wired into the system from day one. Not bolt-ons.

The process

Zero to a running cold email system in 10 days

Four phases. Each one locks in the next. Results compound every month.

🌐
Domain Infrastructure
SPF / DKIM / DMARC Multi-domain Reputation shielding
🔥
Warm-Up Engine
AI sequences 4-6 week ramp Inbox monitoring
🧠
AI Personalization Layer
Signal-triggered copy ICP model trained Dynamic variables
📤
Sending Layer
Throttled delivery Time-zone smart CRM routing
✓ System Active 89% inbox placement Built in 7-10 days
1

Pipeline Audit

We map your ICP, offer, and competitive position to expose every friction point. We decide exactly which decision-makers to target before writing a single word.

2

Infrastructure Build

Multi-domain sending architecture, SPF/DKIM/DMARC, inbox warm-up, and AI personalization trained on your ICP. Built in 7 to 10 days. We don't fire one email until deliverability clears 95%+ inbox placement.

3

AI System Launch

AI-personalized sequences launch, referencing real-time prospect signals. Reply routing, CRM handoffs, and objection workflows fire automatically from day one.

4

Weekly Optimization

Every week we audit open rates, reply rates, and meeting rates. Underperforming variants get cut. New sequences launch. Month three always beats month one.

Client results

Real pipeline. Verified numbers.

Every number below came from a live client in the first 90 days. No projections. No averages.

Before Deep-Y
Open Rate
22%
Reply Rate
2%
Meeting Rate
0.4%
→
After Deep-Y
Open Rate
89%
Reply Rate
8.5%
Meeting Rate
2.8%

Open rates from 22% to 89% · Reply rates 4× higher · 60-day timeline

AirCentral - HVAC Services
$540K
Qualified pipeline built in 90 days

AirCentral had no commercial pipeline and no SDR. Deep-Y's system hit 89% open rates in 3 weeks and signed the first deal on day 18. Month 3: $540K in qualified pipeline, all from outbound. Zero headcount added.

Solar Direct - Residential Solar
85%
Email open rate - industry average is 20 - 25%

Solar Direct's previous agency hit 18% open rates on a shared domain. Deep-Y rebuilt the deliverability infrastructure and deployed AI-personalized copy. Open rates jumped to 85% - a 4x lift - and cost per qualified conversation dropped 71%.

Aliro Immigration - Legal Services
18K
Qualified leads at $0.30 per lead

Aliro needed volume, fast. Deep-Y's AI extracted 18,000 in-market immigration prospects via behavioral signals and launched segment-specific sequences. Cost per qualified lead: $0.30. No manual agency touches that cost at this scale.

In action

Live campaigns. Live inboxes. Verified results.

These numbers come from AI-built outbound systems Deep-Y operates for B2B clients right now.

Common questions

What B2B teams ask before hiring a cold email agency

A cold email automation agency builds and operates the full technical and creative infrastructure behind your cold outreach: domain architecture, inbox warm-up, AI-personalized messaging, multi-step sequences, reply handling, and continuous optimization. Unlike software tools, a done-for-you agency like Deep-Y owns the entire operation end-to-end - so you get booked meetings, not a login and a tutorial. Deep-Y clients consistently hit 85 - 90% open rates against an industry average of 20 - 25%, driven by proprietary deliverability engineering and AI personalization trained on real-time prospect signals.

Traditional cold email agencies manually write templates, manually build lists, and manually A/B test - which caps scale and kills speed. AI cold email automation personalizes every message from real-time prospect signals, adapts sequences based on reply behavior, monitors deliverability 24/7, and scores leads by buying intent without human bottlenecks. Deep-Y's approach generated 18,000 qualified leads at $0.30 each for Aliro Immigration - a result no manual agency touches at that cost or speed. Month 3 also outperforms month 1 automatically, without any additional input.

Most Deep-Y clients book their first meetings within 2 - 4 weeks of launch. The full system - domain warm-up, AI calibration, and sequence optimization - reaches peak performance within 60 - 90 days. AirCentral signed its first commercial contract on day 18 and built $540K in pipeline within the first 90 days. Results depend on your ICP clarity, offer strength, and market size, which is why Deep-Y audits your pipeline before building anything. We don't commit to a timeline we can't back with data from your specific situation.

Most cold email agencies give you software to run yourself, or hand over templates and disappear. Deep-Y is done-for-you from day one and beyond - we build the infrastructure, train the AI on your ICP and voice, write and launch sequences, monitor deliverability in real time, handle reply routing, and optimize weekly based on performance data. We also build proprietary multi-domain sending architecture that shields your primary domain and sustains 85 - 90% inbox placement rates at scale. AirCentral, Aliro, Solar Direct, and Adoric all run on systems Deep-Y built and still operates - not systems we handed off and walked away from.

2 spots left this month

Your pipeline, running on autopilot.

Book a 30-minute strategy call. We audit your outreach, expose the highest-ROI opportunity, and walk you through exactly what the system looks like for your ICP - no commitment required.

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The Name

The Y in Deep-Y is a question.

Every agency asks what - what campaigns, what tools, what content. We start from why. Why does your market respond to one message and ignore another? Why does your pipeline stall at the same point? Once we understand the why, we build the machine that acts on it.

What that means in practice →