LEAD GENERATION

Enrich Badge Scans and Route into Salesforce Campaigns

Enriches sparse badge-scan records with firmographic data, matches them to the event's Salesforce campaign.

CategoryLead Generation
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled batch run on reconciled scans
  • ActionRead day's reconciled scans from AirtableAirtableAirtable
  • ActionEnrich company + firmographics by domainPerplexityPerplexity
  • LogicDedupe against existing Salesforce recordsSalesforce
  • ActionCreate attributed leads in SalesforceSalesforce
  • OutputAdd leads to event Salesforce campaignSalesforce

What it does

Turns thin badge scans (often just name and email) into enriched Salesforce campaign members. It fills in company, industry, and size, then attaches each lead to the right Salesforce campaign so marketing can prove pipeline influence from the show.

When to use it

Use it when your team runs revenue attribution in Salesforce and needs every event lead tied to a campaign with clean source data — essential for justifying event spend to finance.

How it works

  1. 1A scheduled batch run picks up the day's reconciled scans from Airtable.
  2. 2Each lead is enriched via a web-research lookup that resolves company, industry, and headcount from the email domain.
  3. 3A branch dedupes against existing Salesforce leads and contacts to avoid double-counting.
  4. 4New leads are created in Salesforce with full source attribution (event name, booth, scan date).
  5. 5Every lead — new or matched — is added as a member of the event's Salesforce campaign.
  6. 6A run report of enriched, created, and matched counts is appended to the Airtable batch log.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Connect SalesforceAccounts, opportunities, cases.
  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.

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