LEAD GENERATION

Score webinar attendees for ICP fit and log to Airtable

Takes a freshly uploaded webinar attendee CSV, enriches each contact, scores them against your ICP definition, and writes a ranked, color-coded lead list to Airtable.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew attendee CSV in watched folderFilesystem
  • ActionParse CSV into normalized contacts
  • ActionEnrich company firmographics via ExaExa
  • ActionScore each contact against ICP rulesOpenAI
  • LogicSplit into A/B/C tiers by score
  • OutputUpsert ranked leads into AirtableAirtableAirtable

What it does

Turns a raw post-webinar attendee export into a ranked, scored lead list in Airtable. Each attendee is enriched with company firmographics, scored 0-100 against your ideal-customer-profile rules, tagged with the reasons behind the score, and dropped into a sortable base your SDRs can work top-down.

When to use it

Run it the morning after a webinar when marketing hands you a CSV of registrants and attendees. Instead of eyeballing job titles, you get a defensible fit score and a single source of truth your reps can filter and claim.

How it works

  1. 1A new attendee CSV lands in a watched cloud folder and triggers the run.
  2. 2The flow parses each row into a normalized contact record (name, email, company, title).
  3. 3For every contact, Exa pulls company size, industry, and recent signals.
  4. 4OpenAI scores each enriched record against your written ICP criteria and returns a score plus a short rationale.
  5. 5A filter splits records into A/B/C tiers by score threshold.
  6. 6Each scored, tiered lead is upserted into Airtable with a color-coded fit column and the rationale text.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FilesystemRead and write files in the workspace volume.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.