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❌ Why Most Outreach Stacks Are Broken

And you’re still copying LinkedIn URLs manually.

The worst part?

You’re doing half the work that should’ve been automated 2 years ago.

✅ What This System Does Differently

This isn’t another cold email playbook.

This is a fully autonomous multichannel outbound engine — powered by AI agents, stitched together by n8n, and deployed through La Growth Machine.

• It finds leads.
• It qualifies them with GPT.
• It personalizes every message.
• Then it launches multichannel campaigns across LinkedIn, Email, Voice, Video, X, and even Calls.

No reps. No tabs. No missed replies.

🧠 The Outreach Engine Behind the Scenes

Here’s how it works under the hood:

🛠️ Tools You’ll Need (All Plug-and-Play)

• n8n ⟶ Automation brain
• Google Programmable Search ⟶ Lead capture
• Proxycurl API ⟶ Extract job & company data
• Dropcontact ⟶ Enrich with verified emails + phones
• GPT-4 API ⟶ AI scoring + messaging
• Google Sheets ⟶ Lead staging + enrichment
• La Growth Machine ⟶ Building lead lists, multichannel sequencing, follow-ups, unlimited enrichment (after campaign’s launch), unified inbox + automation
• Slack (optional) ⟶ Real-time alerts on replies

⚙️ Why This System Exists?

Legacy outbound = One person, One inbox, One tool.

Modern outbound = AI agents + modular systems + intelligent multichannel triggers.

The goal of this workflow is simple:

Automate every single step from lead sourcing → targeting → qualification → personalization… before you ever hit send.

By combining:

• Web scraping
• API enrichment
• Language model reasoning
• Intent detection
• and multichannel sequencing

You create a machine that can scale outbound like a team of SDRs — without actually hiring them.

STEP 1: Lead Discovery via Programmable Google Search

Extract LinkedIn URLs of potential prospects based on niche signals (e.g., titles, geography, company type).

🟡 Tools:

• Google Programmable Search Engine (CSE)
• Google Search API (via Google Cloud)
• n8n (to automate and orchestrate)
• Google Sheets (to capture and store results)

🔵 Setup:

A. Build Your Search Engine

• Go to: programmablesearchengine.google.com Create a search engine that only indexes: bash CopyEdit site:linkedin.com/in
• Enable “Image Search” (helps improve relevance)
• Save your CSE ID

B. Activate Search API in Google Cloud

• Go to console.cloud.google.com
• Enable Programmable Search API
• Create credentials → Save your API key

C. Build in n8n:

1. HTTP Request node → Calls Search API with your query: bash CopyEdit site:linkedin.com/in "Founder" "SaaS" "New York"
2. Loop node → Uses pagination to get more than 10 results
3. Wait node → Introduce delay (1-2s) to avoid rate limit
4. Set node → Clean data, extract URLs
5. Google Sheets node → Push URLs into your master lead sheet

| HTTP Request node |

bash
CopyEdit
site:linkedin.com/in “Founder” “SaaS” “New York”

💡You now have 100+ real-time LinkedIn URLs from public data.

STEP 2: Enrichment Layer — Convert URLs to Full Profiles

Now that you’ve collected raw LinkedIn URLs, the next task is to enrich those leads with actionable data — names, titles, companies, emails, and phone numbers.

🟡 Tools:

• Proxycurl (scrapes public LinkedIn info)
• Dropcontact (email and phone enrichment)
• Google Sheets
• n8n

🔵 Workflow:

A. Proxycurl API Integration

• Input: LinkedIn profile URL
• Output:
  • First Name
  • Last Name
  • Title
  • Company Name
  • Company Website
  • LinkedIn Handle
• In n8n:
  • Use HTTP node with Proxycurl API key
  • Parse JSON response and extract the above fields
  • Append to the same row in Google Sheets

B. Dropcontact API Integration

• Input: Full Name + Company Domain
• Output:
  • Work Email
  • Personal Email (if available)
  • Mobile Number
  • Verification Status
• In n8n:
  • Send each contact’s data to Dropcontact
  • Clean and normalize phone number formatting
  • Filter out bounced/unverified records

🧠 At this stage, you’ve built a dynamic, real-time database of enriched leads — verified and sales-ready.

STEP 3: AI-Based Lead Qualification (Using GPT)

Not every lead deserves to enter your campaign.

Instead of scoring manually or using dumb filters (like job title contains “founder”), we use GPT as a reasoning engine.

🟡 Tools:

• GPT-4 API (OpenAI or Claude via API)
• n8n
• Google Sheets

🧠 What the AI Should Do:

• Read job title, company type, industry, and funding history (if available)
• Compare it to your Ideal Customer Profile
• Return:
  • A score (1–10)
  • A match status (High, Medium, Low)
  • A justification (1-sentence reasoning)

🔵 Prompt Design:

You’re a sales assistant for a B2B SaaS company.

Our ICP is:

• Founders or GTM leads
• SaaS companies
• <$10M in revenue
• Based in the US/Canada
• Hiring SDRs or running outbound

Does this lead fit?

{lead_info_here}

Respond as JSON like this:

{

“score”: 8.7,

“match”: “High”,

“why”: “SaaS founder hiring for sales in NY”

}

In n8n:

• Set up an OpenAI API node
• Dynamically insert enriched data into the prompt
• Parse the JSON result
• Store values in the sheet (in columns: match_score, match_reason)

🎯 Now, every lead has an intelligent score — not based on filters, but on context.

STEP 4: Icebreaker Personalization at Scale (Using GPT)

Most outreach tools allow variables and custom attributes. Few generate human lines that stand out.

The Goal:

Create contextual, relevant intros for each lead’s first message — auto-generated via GPT.

🟡 Tools:

• GPT-4 API
• n8n
• Company website (from Proxycurl)

🔵 Prompt:

Go to this company website: https://{company_url}

Write a 1-line cold email intro that feels natural, personal, and relevant.

Reference tone, copy, value prop, or design. Avoid generic compliments.

Output:

“Loved how you called your product the ‘Notion for IT teams’ — clean, smart positioning.”

Add this icebreaker into a new {icebreaker_line} column in your Google Sheet.

📦 End of Part 1 Summary

At this point, you’ve built:

✅ A Google Search + n8n lead extractor

✅ A GPT-4-powered lead qualifier

✅ A Proxycurl + Dropcontact enrichment engine

✅ A dynamic personalization machine

All of this runs on autopilot and outputs a neatly organized Google Sheet with:

AI-first pre-pipeline engine that:

• Finds leads based on intent or role signals
• Enriches and verifies them
• Qualifies them using GPT
• Crafts icebreaker messages tailored to each lead

Now it’s time to deploy them into battle using La Growth Machine’s full stack — from first touch to multi-stage follow-up to dynamic optimization.

🔍 Full Walkthrough: How to Deploy Campaigns in La Growth Machine

1. Campaign Architecture: How LGM Thinks (Deep Dive) 🧱

La Growth Machine (LGM) runs campaigns as modular, multistep workflows—giving you total control and flexibility to design the perfect sequence for your market and channel mix.

Each campaign is built as a series of “steps” with four key attributes:

A. Channel-Specific Steps

Each step can target a unique channel:

C. Time-Controlled Logic

Delay logic is set between each step:

1. It prevents your messages and actions from coming across as automated or spammy. </aside>
3. You can set delays like “+3 hours after previous step,” “+1 day after DM,” or “+2 days if no reply.” </aside>

D. Data-Enriched Personalization

• Every action can use dynamic variables imported with your leads (e.g., {{firstName}}, {{company}}, {{role}}, {{icebreaker}}, {{score}}).
• Personalization can be injected into any message, follow, or touch, making every interaction contextually relevant and unique to each lead.
• Real-time data updates: variables can be edited mid-campaign as new info or responses are gathered.

E. Example Sequence (Showing Step-by-Step Flow)

| Profile Visit

With LGM’s modular campaign builder, you can design, test, and optimize any sequence—automating the routine, humanizing the critical, and driving replies at scale.

2. Set Up Your Campaign Workspace 🗂

A. Build Your Audience List

LGM gives you multiple ways to get leads into your campaign. Choose the method that matches your workflow or target audience:

1. Manual Import

• Upload a CSV file
• Ideal for leads you’ve already processed via your AI pipeline (e.g., Proxycurl + GPT-enriched)
• You can also import leads in LGM from a LinkedIn search (Basic or Sales Navigator)

2. CRM Sync

• Auto-import leads directly from any CRM or Databases via LGM native integrations (Pipedrive, HubSpot, Breakcold, Clay, PersanaAI, Phantombuster…) or custom connectors (Zapier, Make, n8n)
• It keeps your outreach aligned with your existing CRM lists and workflows

3. LGM Database & Lookalike

• Use the LGM Database to identify in one click companies that match your ideal client profile with a turnkey ABM solution
• Find new leads with the LGM Lookalike Engine: name your best client, and it finds the next ones for you based on your criteria and similarity score. But that’s not all — whenever a prospect responds positively, the tool suggests you similar companies to fill your pipeline.

4. Intent-Based Triggers

Dynamically pull in contacts who have shown engagement signals on LinkedIn.

You can target:

👍 Anyone who commented or liked any LinkedIn post (yours or your competitors’)

📅 Anyone who registered for any LinkedIn event (yours or your competitors’)

💻 Your company page followers (great for warm outbound or community nurturing)

Pro tip:

If you’re just getting started, we recommend beginning with a CSV import from your AI-powered pipeline once you’ve mastered your workflow, layer in CRM sync and intent-based triggers to capture more opportunities and warmer leads.

Good To Know: LGM enriches leads automatically after your campaign is launched and it’s unlimited (no token or credit): work emails powered by waterfall enrichment ****(7 providers), personal emails, phones, LinkedIn and X profiles are found.

B. Create a New Campaign

Give it a name using the syntax:

[Persona]-[Offer]-[Channel]-[Quarter]

Examples:

• Founders-OutboundPlaybook-MULTI-Q2
• HiringCMOs-VoiceIntro-EmailOnly-Q3 </aside>

This helps later with testing and dashboard tracking.

3. Define Step-by-Step Sequences (Exact Breakdown) 🧩

Below is a proven 10-day multichannel sequence inside La Growth Machine.

Each step is designed for maximum engagement and reply rates:

Step 1: LinkedIn Profile Visit

• Type: Auto-action
• Goal: Passive touch—show up in prospect’s “Who viewed your profile” notifications
• Delay: 0h (immediate)
• Personalization: None
• Why: Warms up lead before any messaging

Step 2: LinkedIn Follow

• Type: Auto-action
• Goal: Increase future DM and connection request acceptance rate
• Delay: +3 hours after profile visit
• Personalization: None
• Why: Builds passive familiarity
• Pro Tip: Also triggers notification, subtly signaling your interest

Step 3: Social Warming — Like a Recent Post

• Type: Auto-action
• Goal: Appear in the prospect’s notifications with a relevant, value-aligned action
• Delay: +2 hours after follow
• Personalization: Like their latest post
• Why: Most people check “who liked my post”—your name now appears for a third time
• Bonus Move: Like a post on a mutual connection’s timeline or one of their company’s announcements (shows research and intent)

Step 4: LinkedIn Message 1 — Connection Request (with Personalization)

• Type: Connection request message
• Dynamic fields:
  • {{firstName}}
  • {{company}}
  • {{icebreaker}} (GPT-powered, unique to each lead)
• Delay: +1 day after like
• CTA: Subtle offer or open-ended “curiosity” nudge
• Example: <aside> “Hey {{firstName}}, came across {{company}} — super interesting space. Curious if you’re testing outbound workflows internally or still refining? I have something you might find useful if you’re open to it.” </aside>
• Out-of-Box Option:
  • Mention something specific from the post you liked (e.g., “Saw your take on outbound automation in your last post—really aligned with how we’re thinking about scaling sales teams.”)

Step 5: LinkedIn Message 2 — “Thank You”/First DM

• Type: DM after connection accepted
• Goal: Open a real conversation (not a pitch)
• Delay: +1 day after accepted connection
• Personalization: Reference the post or icebreaker again
• Example: <aside> “Thanks for connecting, {{firstName}}! Quick one: saw you recently posted about {{topic}}. Curious—what’s your #1 focus in outbound right now?” </aside>
• Pro Tip: Use the LGM Chat Mode to mimics human behaviour. It splits your long message into short messages spaced out naturally, just like a natural chat.

Step 6: Email #1 (Multichannel Touch)

• Type: Personalized cold email
• Delay: +1 day after first DM
• Dynamic fields:
  • {{firstName}}, {{company}}, {{role}}, {{icebreaker}}
• Subject Line Tip: Use an A/B test (e.g., “Quick idea for {{company}}” vs. “{{company}} + AI-powered outbound?”)
• Body Example: <aside> “Saw what you’re building at {{company}}—especially liked your approach to {{icebreaker}}. We recently helped a team in your space triple their reply rates using a multichannel AI workflow. Worth a look?” </aside>

Step 7: LinkedIn Message 3 (Follow-Up/Value Add)

• Type: Follow-up DM
• Delay: +2 days after initial email
• Goal: Add a resource, mini-case study, or just a soft bump
• Example: <aside> “Just sharing this playbook we used with {{otherCompany}}—happy to send details if helpful for you!” </aside>

Step 8: Email #2 (Follow-Up/Content Drop)

• Type: Follow-up email
• Delay: +2 days after LinkedIn follow-up
• Goal: Share a relevant article, teardown, or video—positioned as helpful, not salesy
• Bonus: Reference a unique signal you spotted in their posts or company news

Step 9: LinkedIn Voice Note (Optional but Powerful)

• Type: With or without AI-cloned voice
• Delay: +1 day after follow-up
• Goal: Stand out from text-based noise
• Content: <aside> “Hey {{firstName}}, wanted to share a quick voice note—loved your recent post on {{topic}}. Thought this might be a fit for {{company}}…” </aside>

Step 10: Call Task/Manual Touch

• Type: Manual task assigned in LGM
• Delay: +2 days after voice note
• Goal: Call only high-scoring or engaged leads
• Tip: Include quick context and last touchpoint in your notes

Bonus/Out-of-the-Box Unique Steps:

👉 Send a relevant podcast episode or invite to a community

“Saw you’re scaling {{company}}’s GTM. If you’re into growth ops, we host a monthly founder roundtable—DM me if you want an invite!”

👉 Share a short loom/teardown video personalized to their company/website “Recorded a quick breakdown on how we’ve automated LinkedIn + email for similar teams—here’s the 2-minute clip.”

👉 Trigger intent retargeting (using LGM’s Lookalike Engine) After a positive reply, instantly queue up a new campaign for similar companies or buyer personas.

4. Variable Mapping & Personalization in LGM 🔗

In LGM’s import sheet, define the following columns:

These variables and custom attributes are usable across all steps and can be updated mid-campaign if needed.

5. Automation Settings & Optimization Features ⚙️

✅ Inbox Rotation

🧊 OOO Detection

🔬 A/B Testing (Built-in)

6. Real-Time Monitoring with LGM Inbox 📬

LGM’s Unified Inbox lets you:

✅ View all conversations across channels

✅ See previous touchpoints in timeline view

✅ Reply manually or trigger automated sequences

✅ Use response templates (customize per campaign)

✅ Qualify leads instantly (mark as Interested, Follow up, Not a fit)

You can even assign leads to teammates with comments.

7. Auto-Pipeline Expansion with Lookalike Engine 🧬

When a lead responds positively:

• LGM identifies similar companies based on:
  • Industry
  • Keywords
  • Headcount
  • Tech Stack
• Suggests new leads in-app
• You can one-click import them into new or existing campaigns

8. Campaign Duplication for Scaling 📦

Once a campaign hits product-market resonance:

• Clone it
• Change:
  • Persona
  • Geography
  • Offer positioning
  • Copy angle

Each LGM campaign becomes a sales asset that can be redeployed with small changes to hit new verticals.

🧠 Final Recap: What You’ve Built

You now know how to:

Architect and deploy a full multichannel campaign in LGM

Optimize sequences via testing, enrichment, and personalization

Reactivate and expand using LGM’s lookalike engine

Map enriched AI-generated data into scalable outreach flows

Manage replies across all channels in one place with the LGM inbox

⚡ Ready to Build Your Own Multichannel SDR Machine?

You’ve just walked through a playbook that replaces $1,000+/mo in tools and hours of SDR grunt work — with one lean, AI-enhanced system.

Now you can:

✅ Find leads from anywhere

✅ Enrich them with verified data

✅ Personalize messages at scale

✅ Reach them across LinkedIn, Email, Voice, Video, X and Call

✅ Optimize replies with GPT-powered learning

✅ Expand your TAM with Lookalike triggers

All from a single dashboard. No switching tools. No duct-tape workflows.

Stop wasting leads.

Start running outbound that gets replies.

<aside>

🎁 Sign up for La Growth Machine now with this magical link

and get 30 days free instead of 14 days. No credit card needed.

→ Try La Growth Machine