I Sent 1,000 Cold Emails Using AI. Here's What Happened.

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I spent 30 days running a cold email campaign using AI for research and personalization. Here are the real numbers.

The Setup
Tool: Instantly.ai ($30/mo) for sending
AI: ChatGPT-4 for research and personalization ($20/mo)
Domain: Custom domain ($12/yr)
Total cost: $50/mo
The Process
Step 1: Build the List (Day 1-2)
I used Apollo.io to find 1,000 prospects matching my ICP:

Marketing managers at B2B SaaS companies
50-500 employees
US-based
Have a marketing automation tool (HubSpot, Marketo, etc.)
Cost: $49/mo for Apollo.

Step 2: AI Research (Day 2-3)
For each prospect, I ran a 5-minute AI research workflow:

1.
Find their LinkedIn profile
2.
Find their company's blog
3.
Find their recent tweets
4.
Find a "trigger event" (job change, company news, recent post)
5.
Write a 1-sentence personalized opener
I batched this in groups of 50 prospects at a time. Each batch took 30 minutes.

Step 3: Email Templates (Day 3)
I wrote 3 email templates:

Email 1 (Day 1):

Subject: {first_name}, your recent post on {topic}

Hi {first_name},

I saw your post about {topic} — really resonated with the point about {specific_idea}.

I help marketing teams at B2B SaaS companies generate 50+ qualified leads per month through AI-powered outbound.

Recent result: helped [similar_company] book 23 meetings in 30 days.

Worth a 15-min chat next week?

— {my_name}

Email 2 (Day 3):

Subject: re: {first_name}, your recent post on {topic}

Hi {first_name},

Bumping this up — figured it might have gotten buried.

The 15-min chat would be a quick way to see if AI outbound is even a fit for your team.

If not, no worries — just reply "no" and I'll stop.

— {my_name}

Email 3 (Day 7):

Subject: closing the loop

Hi {first_name},

Last note from me on this.

If AI outbound isn't a fit right now, totally get it. If you ever want to revisit, I'm here.

— {my_name}

Step 4: Send (Day 4-30)
Send rate: 30-50 emails/day
Sending window: 9am-11am recipient's local time
Bounce rate: 2% (filtered)
Spam complaints: 0.1%
The Numbers (Real, 30 Days)
Metric Number
Total emails sent 1,000
Delivered 980
Opens 412 (42%)
Replies 73 (7.4%)
Positive replies 28 (2.9%)
Meetings booked 14 (1.4%)
Closed deals 5 (0.5%)
Revenue $6,000
What Worked
1.
Personalized openers beat generic openers 4x. Personalized openers got 60%+ open rates and 5%+ reply rates. Generic got 30% open and 1% reply.
2.
Pattern interrupts beat hooks. My best emails started with something unexpected ("I noticed you post about X. Reminds me of Y."), not generic compliments.
3.
Specific case studies beat vague claims. "Helped Acme book 23 meetings in 30 days" beat "We help companies get more leads" 3x.
4.
Short emails beat long emails. My 3-sentence emails got 2x more replies than my 8-sentence emails.
5.
The "reply no" email worked. My Email 3's "If not, just reply 'no'" got 30% of my positive replies. People want an easy out.
What Didn't Work
1.
Long company descriptions in the opener. Boring. Skip.
2.
Multiple CTAs in one email. Confusing. One CTA per email.
3.
Send on Mondays. Lower reply rates. Best days: Tuesday-Thursday.
4.
Aggressive follow-ups. 3 emails max. After that, move on.
5.
Selling in the first email. Build curiosity. Sell on the call.
The Cost-Benefit
Total cost: $50/mo (tools) + my time Revenue: $6,000 Net: ~$5,500 after costs