ClawDeployPersonalized Outreach in 4 Steps
A step-by-step AI workflow that researches every prospect and drafts personalized emails, LinkedIn messages, and follow-up sequences.
The Problem
Writing genuinely personalized outreach takes 15-30 minutes per prospect. At that rate, an SDR can only send 15-20 personalized emails per day. Generic templates get ignored. There's no middle ground — until now.
Step-by-Step Workflow
The AI agent researches each prospect's company, role, recent activity, and relevant context from public sources.
Research this prospect: Maria Santos, VP of Customer Experience at CloudKitchen (restaurant tech, Series B, 150 employees). Find their recent activity, company news, and likely pain points.
Prospect profile: **Maria Santos, VP CX at CloudKitchen** - LinkedIn: Posted about "scaling support for multi-location restaurants" 2 weeks ago - CloudKitchen raised $45M Series B in November. Expanding to 3 new markets. - Recent G2 reviews mention "slow response times" as top complaint (3 reviews in 30 days) - Company blog announced "500+ restaurant partners" milestone last month **Likely pain points:** - Support volume scaling with restaurant partner growth - Multi-language support across new markets - Maintaining response times with lean team post-fundraise **Hook:** Their G2 reviews show response time issues. She literally posted about scaling support. Perfect timing.
Based on research, the agent identifies the specific pain point and crafts a value proposition tailored to this prospect.
Based on Maria's profile, what's the strongest value hook for ClawDeploy? Frame it around her specific situation, not generic benefits.
Strongest hook: **Response time at scale** Maria's team is growing from a known customer base to 500+ restaurant partners across multiple markets. Their G2 reviews already flag slow response times. With expansion, this will get worse. Value prop: "Deploy an AI agent that handles tier-1 support for your restaurant partners in their language. Reduce response times from hours to seconds — without hiring for each new market." Why it works: References her specific scale challenge (500+ partners, new markets), addresses the exact complaint showing up in reviews, and solves it without the headcount she probably doesn't have budget for post-raise.
The agent writes a personalized first-touch email that references specific research and leads with the identified value hook.
Write a cold email to Maria Santos using the research and value hook. Reference something specific. Keep it under 120 words. Subject line should be relevant, not clickbait.
Subject: Scaling support across 3 new markets (without 3x the team) Hi Maria, Saw CloudKitchen just crossed 500 restaurant partners — congrats on the growth. Expanding to new markets with that kind of partner base is exciting but I imagine support volume is scaling faster than headcount. A few restaurant tech companies use ClawDeploy to deploy AI agents that handle tier-1 support in their partners' language — reducing response times from hours to under a minute. No engineering required, live in 2 minutes. Worth a 10-minute chat to see if it fits your expansion plan? Best, [Name]
The agent creates a 2-3 email follow-up sequence that adds new value without repeating the first message.
Maria didn't reply. Generate a 2-email follow-up sequence. Add new value each time, don't just "bump" the first email.
**Follow-up #1 (4 days later):** Subject: Re: Scaling support across 3 new markets Hi Maria — quick follow-up. I pulled together a 2-minute case study from another restaurant platform that cut their average response time by 80% with an AI agent. Happy to send it over if useful. **Follow-up #2 (8 days later):** Subject: One thought on the G2 feedback Hi Maria — I noticed a few recent G2 reviews mentioning response times. Totally understand if the timing isn't right, but if support speed is on your radar, I'd love to show you how it takes 2 minutes to set up. Link: [demo]. No pressure either way — wishing CloudKitchen continued growth!
Time Saved
Save 20+ hours per week by automating prospect research and email drafting. Scale from 15 personalized emails/day to 100+ without sacrificing quality.
Frequently Asked Questions
Does this send emails automatically?
No. The agent researches and drafts — you review and send. This keeps you in control of your sender reputation and lets you add your personal touch.
How personalized are the emails really?
Every email references specific details about the prospect's company, role, recent activity, or public statements. It's not "Hi {firstName}" personalization — it's genuine context.
Can it write LinkedIn messages too?
Yes. The agent can draft LinkedIn connection requests, InMails, and follow-ups using the same research. Different format constraints are automatically applied.
What if the prospect information is wrong?
The agent uses publicly available information and clearly flags confidence levels. Always do a quick sanity check before sending — the research is a starting point, not the final word.