LEAD GENERATION

Score Scraped Attendees and Loom Only the Hot Tier

Scrapes event attendees with Apify, scores each against your ICP, writes all leads to Attio, but only records and queues a Loom intro for A-tier matches to protect rep time.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggermanual
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator starts run with event URL and ICP
  • ActionScrape attendee list with ApifyApify
  • LogicScore each lead A/B/C against ICP
  • ActionUpsert all leads into Attio with tier tagAttio
  • LogicBranch: proceed only for A-tier
  • ActionQueue Loom intro for A-tier leadsLoomLoom
  • OutputSave Loom link and tier to AttioAttio

What it does

Brings every event attendee into Attio while reserving the expensive step, a personalized Loom video, for leads that clear your ideal-customer-profile bar. B and C tiers still land in the CRM for nurture but skip video.

When to use it

Use when your attendee lists are large and mixed quality, and recording a Loom for everyone would waste hours. Best for teams that already have a defined ICP (industry, headcount, role seniority).

How it works

  1. 1You start the run with the event URL and your ICP criteria.
  2. 2Apify scrapes the full attendee list.
  3. 3Each lead is scored A/B/C using title seniority, company size, and industry fit.
  4. 4Every scored lead is upserted into Attio with its tier tag.
  5. 5A branch checks the tier: only A-tier proceeds.
  6. 6For A-tier leads, a personalized Loom intro is queued referencing their role and company.
  7. 7The Loom link and tier are saved on the Attio record so reps work the hottest leads first.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect AttioReal-time CRM with structured data + powerful views.
  3. 3
    Connect LoomVideo transcripts, libraries.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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