Mine call data for competitor signals
ai-sales-intelligence-and-outreachskillsetup L3★6
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