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Gong

Revenue intelligence platform that records, transcribes, and analyzes sales conversations (calls, video meetings, emails) to surface deal insights, coaching opportunities, and competitive intelligence.

Capabilities

Integration Available Notes
API ✓ REST API, Basic Auth or OAuth2
MCP - Not available
CLI - Not available
SDK - REST API only; community Python client via dltHub

Authentication

API Endpoints

Most Gong API endpoints use POST with JSON request bodies for filtering. Check the official API docs for current endpoint availability.

Calls

# List calls (with date/user filters)
POST /v2/calls/extensive

# Get call transcripts (batch, by call IDs)
POST /v2/calls/transcript

Users & Stats

# List users
GET /v2/users

# Get activity stats (talk ratio, questions asked, longest monologue)
POST /v2/stats/activity/day-by-day

Engagement Flows

# List flows
GET /v2/flows

# Get flow analytics
GET /v2/flows/{id}/analytics

Key Data Points

Per Call

  • Full transcript with speaker labels and timestamps
  • Talk-to-listen ratio per participant
  • Topics discussed (auto-detected)
  • Questions asked (count and content)
  • Longest monologue duration
  • Next steps mentioned
  • Competitor mentions
  • Pricing discussions flagged

Per Deal

  • All associated calls and emails
  • Deal stage progression
  • Risk signals (gone dark, competitor mentioned, champion left)
  • Engagement score

Per Rep

  • Talk ratio trends
  • Question frequency
  • Topic coverage vs. playbook
  • Win rate correlation with behaviors

Common Agent Operations

Extract Competitive Intelligence from Calls

  1. Query calls mentioning competitor names
  2. Extract: objections raised, features compared, pricing discussed
  3. Synthesize into competitive battlecard updates
  4. Track competitor mention frequency over time

Mine Calls for Customer Research

  1. Pull transcripts from recent won/lost deals
  2. Extract: pain points, trigger events, decision criteria, language used
  3. Feed into persona building and messaging work
  4. Identify recurring objections for sales enablement

Revenue Attribution

  1. Pull call data alongside CRM deal data
  2. Map which content/pages were discussed in winning deals
  3. Identify which talking points correlate with closed-won
  4. Build content-to-revenue attribution reports

Rep Coaching Insights

  1. Compare top performer call patterns vs. team average
  2. Identify: talk ratio, question frequency, topic coverage gaps
  3. Surface specific call moments for coaching review
  4. Track improvement over time

Rate Limits

  • 3 API calls per second
  • 10,000 API calls per day
  • Pagination required for large result sets

When to Use

  • Mining sales call transcripts for customer research and VOC data
  • Extracting competitive intelligence from prospect conversations
  • Building revenue attribution models (content → deal influence)
  • Analyzing win/loss patterns across deal transcripts
  • Coaching sales reps based on conversation analytics
  • Identifying common objections and buying signals

Limitations

  • API access requires admin credentials
  • Transcript quality depends on call audio quality
  • Rate limits (10k/day) may constrain large-scale analysis
  • Pricing is enterprise-level (not publicly listed, typically $100+/user/month)
  • Requires team adoption — records calls via integrations, but also supports uploading calls from non-integrated telephony systems

Relevant Skills

  • customer-research
  • sales-enablement
  • competitors
  • revops
  • cold-email

Sources