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Function: Lead capture

Event Lead Capture

Deployment Brief

Start with contact, company, event, interest, conversation note, consent, lead rating, owner, and next step. Keep follow-up promises under review.

Related Field Report

  • Speed-to-lead AI workflow: A field report on faster lead response without losing evidence, routing, consent, or owner review.

Quick Answer

An event lead capture workflow turns badge scans, QR forms, booth conversations, and session activity into qualified follow-up records. AI can clean, summarize, classify, and route the lead, but a person should review promised next steps, unclear consent, strategic accounts, and custom requests before sales outreach.

TL;DR

An event lead capture workflow turns badge scans, QR forms, booth conversations, and session activity into qualified follow-up records. AI can clean, summarize, classify, and route the lead, but a person should review promised next steps, unclear consent, strategic accounts, and custom requests before sales outreach.

What is event lead capture?

Event Lead Capture is a lead intake workflow that captures enough context to decide what should happen next. The useful version does not just create a contact record. It records the source, intent signal, consent, owner, duplicate status, and any promise made before follow-up.

Who is this workflow for?

This workflow is for service businesses, agencies, SaaS companies, consultants, construction firms, event teams, and sales teams that receive leads from forms, events, social channels, referrals, or demo requests. It is most useful when speed matters but bad routing wastes sales time.

What breaks in the manual process?

Lead capture breaks when every name looks the same. A badge scan, a referral, a social comment, and a demo request need different handling. Without consent, context, owner, and next step, teams either over-follow up weak leads or miss the leads that were ready to talk.

How does the AI-enabled process work?

AI cleans the record, summarizes the source context, checks duplicates, classifies fit and intent, and suggests the next route. A person still reviews high-value accounts, unclear consent, disqualification, public replies, referral attribution, pricing questions, and any customer-visible promise.

What does this look like in practice?

Example scenario: A booth rep scans a badge after a pricing conversation and notes that the prospect asked for an implementation timeline. The workflow captures event, company, role, interest, consent, conversation note, and promised next step. It routes the lead to sales with a same-day follow-up task and flags the promised timeline question for review.

What decision rules should govern this workflow?

  • Do not score a scan as high intent without conversation, session, or next-step evidence.
  • Require consent or a documented business basis before follow-up.
  • Deduplicate before creating a new CRM record.
  • Route promised meetings, pricing requests, and strategic accounts to an owner.
  • Send low-context scans to nurture unless a person upgrades them.

What are the implementation steps?

1. Trigger: A badge scan, QR form, booth note, event app submission, meeting request, or session interaction creates a new event lead. 2. Inputs collected: capture contact details, source context, consent, fit evidence, duplicate status, owner, and requested next step. 3. AI/system action: clean the record, summarize intent, enrich context, check duplicates, suggest route, and flag missing evidence. 4. Human review point: A sales or event owner reviews unclear consent, strategic accounts, promised follow-up, custom requests, partner conversations, and disqualification before customer-facing outreach. 5. Output generated: create the approved CRM record, owner task, follow-up route, safe reply, referral task, or demo routing action. 6. Follow-up or next action: assign owner, log consent, track first response, and measure whether the lead reached the right path.

Required inputs

  • Contact and company information
  • Event name, booth, session, campaign, or source
  • Conversation note, interest area, and stated need
  • Consent status and communication preference
  • Lead rating, timeline, next step promised, and owner
  • Duplicate CRM match and account context

Expected outputs

  • Clean event lead record
  • Intent and fit summary
  • Suggested route and owner
  • Follow-up task or sequence assignment
  • Exception flag for missing consent, duplicate, or promised next step

Human review point

A sales or event owner reviews unclear consent, strategic accounts, promised follow-up, custom requests, partner conversations, and disqualification before customer-facing outreach.

Risks and stop rules

  • Treating every badge scan as buying intent
  • Losing conversation context before CRM sync
  • Following up without consent
  • Routing a strategic lead to a generic nurture sequence
  • Letting booth promises disappear after the event

Stop the workflow when consent is missing, source context is too thin, identity is unclear, duplicate ownership conflicts, the route affects a strategic account, or the next action would make a pricing, timing, scope, referral, or public-facing promise.

Best first version

Start with contact, company, event, interest, conversation note, consent, lead rating, owner, and next step. Keep follow-up promises under review.

Advanced version

The advanced version connects forms, CRM, enrichment, calendar routing, source attribution, consent, and follow-up performance. It can prioritize and route faster, but it still needs review for strategic accounts, disqualification, attribution, and customer-visible commitments.

Related workflows

Measurement plan

  • Leads with conversation notes
  • Consent completion
  • Duplicate rate
  • Time to first follow-up
  • Meetings booked from event leads
  • Leads routed to wrong owner

What not to automate

  • Do not send follow-up when consent is unclear.
  • Do not invent booth conversation details.
  • Do not disqualify strategic accounts without review.
  • Do not make pricing, timeline, or implementation promises automatically.

FAQ

What is event lead capture?

It is the process of collecting event contacts with enough context to qualify, route, and follow up instead of dumping badge scans into a spreadsheet.

What should AI capture from event leads?

AI should capture event source, conversation note, interest area, consent, fit, urgency, duplicate status, owner, and promised next step.

What should stay under human review?

Unclear consent, strategic accounts, promised meetings, pricing questions, partner conversations, and custom requests should stay under review.

What is the simplest first version?

Start with a short event form that captures contact, company, interest, conversation note, consent, rating, owner, and next step.

How should event lead capture be measured?

Track note completion, consent completion, duplicates, response time, meetings booked, and wrong-route corrections.