cyberneticlibrary

Mine call data for competitor signals

ai-sales-intelligence-and-outreachskillsetup L36
the-nam-shub/e5-real-skills
What it does

Mine sales call transcripts for attribution, competitor signals, and objection patterns at scale

Best for

Marketing teams using call data to validate multi-touch attribution and identify emerging competitors + objection themes

Inputs
  • · sales call recording links (from Gong, Fathom, Granola)
  • · optional call keywords for alert setup
Outputs
  • · attribution signal list (how leads heard about you)
  • · competitor mention + context tracking
  • · objection pattern clustering by category + severity
Requires
  • · Gong or Fathom (call recording + transcription)
  • · Zapier Agent (workflow for extraction)
Preconditions

Call recordings accessible; LLM access for transcript parsing

Failure modes

90-day filter may miss seasonal signals; extraction errors (self-mentions, misspellings) need QC; Zapier workflow prompt iteration required

Trust signals
  • · attribution signal extraction (contradicts GTM attribution models)
  • · keyword alert setup in Gong/Fathom (auto-transcription + LLM chat)
  • · structured extraction to spreadsheet (date, meeting ID, competitor, context, sentiment, objection category, severity, addressed?)
  • · dashboards tracking brand share of voice + new competitor emergence + objection patterns