The problem

• Conferences = huge pipeline opportunities.
• Attendee lists are messy PDFs or CSVs.
• Manual research takes weeks.

Step 1: Import the List

• Pull attendee list (PDF or CSV).
• Upload into Clay.
• Parse into clean rows: name, company, title, location.

Step 2: Enrich the Data

• Run Clay waterfall:
  • LinkedIn profile URN.
  • Company firmographics.
  • Emails + direct dials.
  • Tech stack + funding.
• Output = full ICP profile per attendee.

Step 3: Segment the List

• Split into tiers:
  • Tier 1: Exact ICP buyers.
  • Tier 2: Influencers/partners.
  • Tier 3: Non-ICP (log only).
• SDRs focus on Tier 1 + 2.

Step 4: Pre-Event Booth Invites

• Use AI to draft 1-liners:
  • “Saw you’re attending [Conference]. Swing by booth #42.”
  • Keep <40 words.
• Sequence 2 touches: email + LinkedIn DM.

Step 5: Onsite Plays

• Export Tier 1 into mobile-friendly Clay view.
• Add notes field for live interactions.
• SDRs can mark “met in person” → sync to Salesforce.

Step 6: Post-Event Follow-Up

• Prompt Claygent: “Draft a 2-sentence follow-up referencing [conference name] and tie back to [product value].”
• Send within 48 hours.
• Multi-channel: email + LinkedIn + call.

Step 7: Multi-Language Personalization (Bonus)

• Translate copy for global conferences.
• Prompt Claygent: “Translate into German/French/Spanish, keep tone professional.”
• Personalization feels local, even if SDR isn’t fluent.

Why this matters

• Attendee lists become outbound gold.
• No wasted time on manual research.
• Outreach is contextual, timely, and multilingual.

Pro tips

• Filter out competitors early.
• Add sponsor logos → trigger more opens.
• Run ROI report: pipeline generated vs cost of conference.

Outcome

• Clean attendee data in hours, not weeks.
• SDRs hit prospects before, during, and after the event.
• Clay + Agentic AI makes conferences predictable pipeline engines.