AI Event & Conference Lead Machine — Turn Any Industry Event Into 50 Qualified Leads in 24 Hours

Scrapes and scores event attendees, speakers, and sponsors to generate 50 qualified leads with personalized outreach and a networking video within 24 hours.

Security Scan

The skill's stated behavior (heavy use of Apify, InVideo, Claude, and scraping LinkedIn/Twitter plus automated outreach) is plausible, but the package declares no credentials, no install, and gives broad-scope scraping/outreach instructions — the pieces don't line up and this raises privacy/operational concerns.

Purpose & Capability

The skill's purpose (scrape attendee/speaker/sponsor data, score contacts, and send personalized outreach + produce videos using Apify, InVideo AI, and Claude) is internally coherent as a concept. However, the registry entry declares no required environment variables, no primary credential, and no install steps — yet the SKILL.md explicitly references third‑party services (Apify, InVideo, Claude) that normally require API keys/accounts. That mismatch (no declared credentials for services the skill depends on) is a concrete incoherence.

Instruction Scope

The instructions direct broad web scraping (event sites, LinkedIn, Twitter/X, Google searches) and contact enrichment and then creation of personalized outreach. This scope includes collecting and transmitting personal data and performing outbound communications. The SKILL.md is permissive about scraping large data sets and generating outreach but does not state how/where credentials are provided, where scraped data is stored, nor whether the agent will require user approval before sending messages — raising red flags for privacy, ToS compliance (LinkedIn/Twitter), and potential spam.

Install Mechanism

There is no install specification and no code files (instruction-only). That is lower technical risk because nothing is downloaded or executed by default from untrusted URLs. The primary surface is the textual runtime instructions.

Credentials

Despite explicit dependence on Apify, InVideo AI, and Claude, the skill declares zero required environment variables or primary credential. Real usage of these services would require API keys/tokens and likely credentials for LinkedIn scraping tools. The absence of declared secrets is disproportionate and inconsistent with the described external integrations.

Persistence & Privilege

always:false (normal) and the skill allows autonomous invocation (default). Autonomous invocation combined with broad scraping and outbound outreach increases operational risk if the agent sends messages or harvests data without explicit user approval; however, autonomous invocation by itself is normal and not being flagged alone.

What to consider before installing

Do not install or run this skill until the developer clarifies key operational details. Ask for: (1) a complete list of required API keys/env vars (Apify, InVideo, Claude, any messaging/LinkedIn integrations) and why each is needed; (2) where scraped personal data will be stored, who can access it, and retention/deletion policy; (3) whether the skill will send outreach messages autonomously or only prepare drafts for user approval; (4) explicit statement about compliance with LinkedIn/Twitter/website Terms of Service and privacy laws (e.g., GDPR/CCPA) for scraping and contacting people; (5) logging/consent mechanisms and rate-limiting to avoid account suspension. If you need this functionality but want lower risk: require the developer to add declared env vars, a minimal install spec that requests API keys at install time, and a confirmation step preventing any outbound messages without explicit user action. If the developer cannot or will not provide those clarifications, treat the skill as unsafe to use because it can harvest personal data and perform outreach without transparent credential/consent handling.

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📋 ClawHub Info

Slug: ai-event-conference-lead-machine

Display Name: AI Event & Conference Lead Machine — Turn Any Industry Event Into 50 Qualified Leads in 24 Hours

Changelog: v1.0.0 — Scrapes event websites, LinkedIn, Twitter and speaker databases to find every attendee, speaker and sponsor at any industry conference, scores each contact by deal potential, maps their role and buying authority, generates hyper-personalized pre-event and post-event outreach referencing their specific session or talk, and produces a conference networking video via InVideo AI. Powered by Apify + InVideo AI + Claude AI.

Tags: event-marketing conference b2b-leads networking apify invideo sales linkedin outreach pipeline trade-show speaker

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Category: B2B Sales / Event Marketing
Powered by: Apify + InVideo AI + Claude AI

Input any industry conference or event. Get 50 qualified leads from attendees, speakers and sponsors — contact details found, buying authority scored, personalized outreach written referencing their specific session or talk, and a networking intro video produced. Every conference is a goldmine. Most people leave with 10 business cards. This skill leaves with 50 pipeline opportunities.

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💥 Why This Skill Is a B2B Sales Monster

Industry conferences are the highest-concentration of qualified buyers on earth. Every attendee self-selected as someone who cares about your industry. Every speaker is a thought leader with budget. Every sponsor is a company actively investing.

Yet most sales teams treat conferences as networking events — collecting cards, sending generic follow-ups, converting 2% of contacts.

The winners do 3 things differently: research attendees before arriving, reference something specific in outreach, and follow up within 24 hours. This skill automates all three.

Target audience: B2B sales teams, SaaS founders, agencies, consultants, anyone attending or sponsoring industry events. Every B2B company attends at least one conference per year.

What gets automated:

• 🔍 Scrape every attendee, speaker & sponsor from any event
• 🎯 Score contacts by buying authority + deal potential
• ✍️ Generate pre-event outreach — "looking forward to your session on X"
• 📬 Generate post-event follow-up — referencing specific moments from their talk
• 🤝 Build networking agenda — who to meet, when, what to say
• 🎬 Produce conference intro video via InVideo AI

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🛠️ Tools Used

Tool	Purpose
Apify — Event Website Scraper	Speaker list, agenda, sponsors, attendee list
Apify — LinkedIn Profile Scraper	Attendee roles, companies, seniority, contact
Apify — Twitter/X Scraper	Event hashtag — who's posting about attending
Apify — LinkedIn Company Scraper	Sponsor company intel — budget signals
Apify — Google Search Scraper	Speaker's past talks, articles, opinions
Apify — Website Content Crawler	Attendee company intel — what they sell, who they target
InVideo AI	Produce conference intro / networking video
Claude AI	Contact scoring, outreach personalization, agenda building

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⚙️ The Conference Lead Formula

THE 3-PHASE CONFERENCE LEAD SYSTEM:

📅 PHASE 1 — PRE-EVENT (1-2 weeks before)
  └─ Find every speaker: research their topic + recent posts
  └─ Find sponsors: detect their budget level + ICP alignment
  └─ Find attending companies: LinkedIn event attendees
  └─ Send pre-event outreach: "Looking forward to your session on X"
  └─ Goal: 20% book a meeting BEFORE the event even starts

🤝 PHASE 2 — AT THE EVENT (day-of)
  └─ Prioritized hit list: who to meet in what order
  └─ Conversation openers per person: based on their session/post
  └─ QR code to your networking video (instant credibility)
  └─ Goal: 30 meaningful conversations, not 100 card swaps

📬 PHASE 3 — POST-EVENT (within 24 hours)
  └─ Reference something SPECIFIC from their talk or conversation
  └─ LinkedIn connection + personal note
  └─ Email with value add (article, tool, or relevant insight)
  └─ Goal: 50%+ reply rate vs 5% with generic "great to meet you"

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⚙️ Full Workflow

INPUT: Event name + your offer + your ICP
        ↓
STEP 1 — Event Intelligence Scrape
  └─ Event website: speaker list, agenda, sponsor list
  └─ LinkedIn: companies and people registered for event
  └─ Twitter: event hashtag — who's announced they're attending
  └─ Extract: names, titles, companies, session topics
        ↓
STEP 2 — Contact Scoring
  └─ Buying authority: C-suite / VP / Director / Manager
  └─ Company fit: does their business match your ICP?
  └─ Budget signal: company size + growth + funding
  └─ Accessibility: are they speaking? (easier to approach)
        ↓
STEP 3 — Session Research
  └─ For each speaker: what is their session about?
  └─ What's their angle? Controversial? Aligned with your offer?
  └─ Their recent LinkedIn posts: what do they care about this week?
  └─ This = your personalization weapon
        ↓
STEP 4 — Pre-Event Outreach (2 weeks before)
  └─ LinkedIn connection request per target
  └─ Personal note references their session topic
  └─ Goal: meeting booked before event = highest quality conversation
        ↓
STEP 5 — Event Day Agenda
  └─ Prioritized hit list: who to find at which session/break
  └─ Conversation starter per person
  └─ Suggested meeting slots + locations
        ↓
STEP 6 — Post-Event Follow-Up (within 24 hours)
  └─ For speakers: reference specific thing they said in their talk
  └─ For attendees: reference your conversation or shared session
  └─ Email + LinkedIn + value-add resource
        ↓
STEP 7 — InVideo AI Produces Networking Video
  └─ 60-second "who I am and what I do" video
  └─ Share as QR code at event
  └─ Send in follow-up emails = 4x response rate
        ↓
OUTPUT: 50 scored contacts + pre-event outreach + day-of agenda + post-event follow-ups + video

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📥 Inputs

{
  "event": {
    "name": "SaaStr Annual 2026",
    "website": "saastr.com/annual",
    "date": "September 10-12, 2026",
    "location": "San Francisco, CA",
    "type": "B2B SaaS conference"
  },
  "your_profile": {
    "name": "Alex Kim",
    "company": "PipelineIQ",
    "offer": "AI sales forecasting platform for B2B SaaS companies",
    "target_buyer": "VP Sales, CRO, Head of Revenue Operations",
    "company_size_target": "50-500 employees"
  },
  "goals": {
    "meetings_target": 15,
    "pipeline_target": 500000,
    "priority": "quality over quantity"
  },
  "production": {
    "invideo_api_key": "YOUR_INVIDEO_API_KEY",
    "video_style": "professional_founder_intro"
  },
  "apify_token": "YOUR_APIFY_TOKEN"
}

---

📤 Output Example

{
  "event_intelligence": {
    "event": "SaaStr Annual 2026",
    "total_contacts_found": 847,
    "qualified_for_your_icp": 134,
    "speakers_identified": 89,
    "sponsors_identified": 67,
    "top_50_prioritized": true,
    "estimated_pipeline_if_15_meetings_convert_20pct": "$1,500,000"
  },
  "top_contacts": [
    {
      "rank": 1,
      "priority_score": 97,
      "contact_type": "Speaker",
      "person": {
        "name": "Sarah Chen",
        "title": "CRO at ScaleHQ",
        "company": "ScaleHQ — HR Tech SaaS, 180 employees, $22M Series B",
        "linkedin": "linkedin.com/in/sarah-chen-scalehq",
        "email": "[e-mail]",
        "twitter": "@sarahchen_saas"
      },
      "session": {
        "title": "Why 60% of SaaS Sales Teams Miss Quota — And What The Top 10% Do Differently",
        "time": "Day 1, 2:30pm, Main Stage",
        "sarah_angle": "Argues that CRMs give data but not insight — teams need predictive signals not historical reports",
        "your_connection": "PERFECT — she's describing exactly the problem PipelineIQ solves"
      },
      "pre_event_outreach": {
        "linkedin_connection": "Hi Sarah — your SaaStr session on why 60% of sales teams miss quota caught my eye. I work on exactly this problem — AI-driven forecasting for SaaS sales teams. Would love to connect before the conference.",
        "email_subject": "Your SaaStr session — we're solving the same problem from different angles",
        "email_body": "Hi Sarah,\n\nI saw you're speaking on sales quota attainment at SaaStr — specifically the gap between CRM data and actual insight.\n\nWe built PipelineIQ around exactly that problem. 89% forecast accuracy vs the 61% industry average.\n\nI'd love to grab 15 minutes before your session or at the conference — would be great to compare notes on what you're seeing in the market.\n\nAlex Kim | PipelineIQ"
      },
      "post_event_follow_up": {
        "subject": "Re: your SaaStr talk — the stat about pipeline visibility hit home",
        "body": "Hi Sarah,\n\nYour point about teams flying blind on pipeline resonated with the whole room. The stat about 73% of reps not knowing their actual win rate until deal close — that's the exact behavior PipelineIQ was built to fix.\n\nI'd love to show you what it looks like for a team ScaleHQ's size. 20 minutes?\n\nAlex"
      }
    },
    {
      "rank": 2,
      "priority_score": 93,
      "contact_type": "Sponsor Decision Maker",
      "person": {
        "name": "Marcus Webb",
        "title": "VP Sales at Vaultify",
        "company": "Vaultify — Fintech SaaS, $8.2M Series A (6 weeks ago)",
        "session_attending": "The Modern RevOps Stack — Day 2 panel"
      },
      "pre_event_outreach": {
        "linkedin_connection": "Hi Marcus — congrats on the Series A. I'll be at SaaStr and see you're attending the RevOps Stack panel. Relevant to what we're building at PipelineIQ — would love to connect."
      },
      "post_event_follow_up": {
        "subject": "From SaaStr — the RevOps panel + your forecasting challenge",
        "body": "Marcus — great panel yesterday. Your point about needing predictive signals not just historical data was exactly on point. That's the core of what PipelineIQ does. Worth 20 minutes after the conference dust settles?"
      }
    }
  ],
  "event_day_agenda": {
    "day_1": [
      { "time": "9:00am", "action": "Coffee break networking — find Marcus Webb from Vaultify (confirmed attending opening keynote)", "location": "Main lobby" },
      { "time": "2:15pm", "action": "Position near Sarah Chen before her 2:30pm session — natural conversation opener", "location": "Main stage corridor" },
      { "time": "5:00pm", "action": "Sponsor area — 3 target companies: Vaultify, ScaleHQ, RevenuePilot. All have booths.", "opener_tip": "Reference something from today's sessions, not your product" }
    ],
    "day_2": [
      { "time": "10:30am", "action": "Attend RevOps Stack panel — note specific statements from your targets to reference in follow-up" },
      { "time": "12:00pm", "action": "Lunch networking — priority: 5 contacts you haven't met yet from hit list" }
    ]
  },
  "networking_video": {
    "script": "Hi — I'm Alex Kim, founder of PipelineIQ. We help B2B SaaS sales teams go from 61% forecast accuracy to 89%. Not by adding another CRM field — by detecting the signals in your existing data that predict which deals will close and which are at risk, 3 weeks before your team knows.\n\nIf you're a VP Sales or CRO dealing with pipeline that looks full until it suddenly isn't — I'd love 15 minutes. Grab my calendar link from the QR code.",
    "duration": "60s",
    "status": "produced",
    "qr_code_destination": "calendly.com/pipelineiq"
  }
}

---

🧠 Claude AI Master Prompt

You are a world-class B2B event marketing and conference lead generation specialist.

EVENT DATA: {{speakers_agenda_sponsors_attendees}}
LINKEDIN DATA: {{contact_profiles_and_companies}}
SOCIAL DATA: {{twitter_event_hashtag_posts}}
COMPANY INTEL: {{attendee_company_websites}}

YOUR PROFILE:
- Name: {{name}}
- Company: {{company}}
- Offer: {{offer}}
- Target buyer: {{target_buyer}}
- ICP company size: {{company_size}}

GENERATE COMPLETE CONFERENCE LEAD MACHINE:

1. Event intelligence summary:
   - Total contacts found + qualified for ICP
   - Speakers vs sponsors vs attendees breakdown

2. Top 50 contacts scored (0–100):
   - Buying authority (35%): title + seniority
   - Company fit (30%): ICP match + size + funding
   - Personalization opportunity (25%): speaking? specific session?
   - Accessibility (10%): easy to approach? pre-existing connection?

3. Per contact generate:
   - Session/talk research (if speaker): their angle + your connection
   - Pre-event LinkedIn connection note (< 300 chars)
   - Pre-event email (subject + body, 150 words max)
   - Post-event follow-up (references SPECIFIC thing from their talk/conversation)

4. Event day agenda (day by day):
   - Time-blocked priority meetings
   - Where to find each priority contact
   - Conversation opener (references their session or recent post)

5. 60-second networking video script:
   - Clear who you are + what problem you solve
   - Specific result (number)
   - Low-friction CTA (calendar link via QR)

OUTREACH RULES:
- Pre-event: reference their session topic specifically
- Post-event: reference a SPECIFIC moment from their talk
- Never generic "great to meet you" follow-up
- Always lead with THEIR world, not your product

OUTPUT: Valid JSON only. No markdown. No preamble.

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💰 Cost Estimate

Run	Apify Cost	InVideo Cost	Total	Pipeline Value
1 event — 50 leads	~$0.80	~$3	~$3.80	$500K–$2M pipeline
5 events per year	~$4	~$15	~$19	$2.5M–$10M pipeline
Agency (5 clients)	~$4	~$15	~$19	$5K–$25K in fees

💡 Start free on Apify — $5 credits included 🎬 Produce your networking video with InVideo AI

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🔗 Revenue Opportunities

User	Strategy	Value
B2B Sales Rep	15 qualified meetings per conference	$500K+ pipeline per event
SaaS Founder	Pre-research every attendee at key events	10x conference ROI
Agency Owner	Sell event lead gen as conference service	$2,000–$8,000 per event
Startup at Booth	Know every visitor before they arrive	3x booth conversion
Speaker	Research every attendee before your talk	Maximum post-talk pipeline

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📊 Why This Beats Generic Networking

Feature	Badge Scanning	LinkedIn Events	AI Event Lead Machine
Pre-event research	❌	Partial	✅
Session-specific personalization	❌	❌	✅
Post-event reference follow-up	❌	❌	✅
Buying authority scoring	❌	❌	✅
Networking video produced	❌	❌	✅
Day-of agenda built	❌	❌	✅

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🚀 Setup in 3 Steps

Step 1 — Get your Apify API Token
Go to: Settings → Integrations → API Token

Step 2 — Get your InVideo AI account
Go to: Settings → API → Copy your key

Step 3 — Input your event + ICP & run
Event name + your offer + target buyer. Full conference kit in minutes.

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⚡ Pro Tips

• Speakers are your best leads — they self-selected as experts with budget + authority
• Pre-event outreach wins 20% of meetings before day 1 — the best conversations are pre-booked
• Reference something SPECIFIC from their talk — "your stat about X" converts 8x vs "great talk"
• QR code networking video = instant credibility — they watch it at dinner that night
• Follow up within 24 hours — conference memory decays fast, same-day is best

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Powered by Apify + InVideo AI + Claude AI