The Spam Filters Are Winning

Google and Yahoo have tightened the screws with their recent "Bulk Sender" updates. If you send 1,000 generic "Just checking in" emails, you will land in the Spam folder. Your domain reputation will be ruined.

• The Statistic: Open rates for generic cold outreach have dropped from ~40% in 2020 to <15% in 2024.
• The Reality: The "Spray and Pray" method is dead.

But Cold Email isn't dead. Lazy Cold Email is dead. The top 1% of B2B companies are getting better results than ever. How? They shifted from "Volume" to "Relevance."

The "Segment of One" Strategy

The only way to hit the Primary Inbox is Hyper-Personalization. You must treat every single prospect as a "Market of One."

You cannot just change the {FirstName}. You need to change the context.

• Lazy: "Hi {FirstName}, I see you work at {Company}..." (Immediate delete).
• Vect AI Protocol: "Hi Alex, saw your recent LinkedIn post about the shift to usage-based pricing—completely agree that seat-based models are dying..." (Curiosity piqued).

The Technical Foundation: Don't Skip This

Before you write a single word, you need a technical fortress. If your backend isn't secure, your copy doesn't matter.

1. DKIM, SPF, DMARC: These are non-negotiable DNS records. They tell Google "I am who I say I am."
2. Subdomain Strategy: Never send cold email from your main domain (vect.pro). Use a dedicated sending domain (getvect.com or vect-partners.com) to protect your primary SEO & deliverability.
3. Warm-up: You must "warm" your inbox for 14 days before sending volume. Vect AI's backend handles this simulation automatically.

The Scaling Problem

Writing a "Segment of One" email manually takes 15 minutes of research per prospect.

• 15 mins x 100 prospects = 25 hours.
• That’s 3 full workdays just to send 100 emails.

This is where the AI Outreach Protocol comes in. It allows you to automate the intimacy at scale.

The "Waterfall Enrichment" Workflow

Vect AI uses a "Waterfall" approach to data gathering (similar to tools like Clay or Datagma), but integrated directly into the writing engine.

Step 1: The Deep Scan

When you upload a lead list (CSV or LinkedIn URL), the Agent visits:

• Their LinkedIn Profile (Recent activity, About section).
• Their Company Website (Pricing page, Case studies).
• Recent News (Funding rounds, Press releases).

Step 2: The "Hook" Generation

The AI looks for a "Reason to Reach Out" (RRO).

• Found funding news? -> Hook: "Congrats on the Series B."
• Found a hiring post? -> Hook: "Saw you're scaling the engineering team."
• Found nothing? -> Fallback to "Observation about their tech stack."

Step 3: The Value-First Offer

Do not ask for a meeting. Give value.

• Bad: "Can we hop on a 15-min call?"
• Good: "I created a 3-minute audit of your current checkout flow specifically for you. Mind if I send it over?"

The 4-Part Framework for High Replies

We train our models on the "PSA Framework":

1. Personalization (The Hook): Proves you aren't a bot. "Saw you went to Duke—Go Blue Devils."
2. Segway (The Bridge): Connects the hook to your offer. "Speaking of competitive teams..."
3. Authority (The Proof): One sentence case study. "We helped Linear scale this same workflow."
4. CTA (The Ask): Low friction. "Is this a priority for Q3?"

The Newsletter Asset

The goal isn't always a direct sale. It's often to move them to an owned channel. Use your cold outreach to drive people to your Newsletter.

Once they are on your list, you can nurture them with weekly "Blueprints" (like this one). When they are ready to buy, you will be Top of Mind.

Upgrade Your Outreach

Stop spamming. Start connecting. The technology is here to reach 1,000 people with the intimacy of a handwritten note.

Launch Smart Outreach Campaign