Optimize Referrals

Analyzes referral performance, fraud risk, and partner health to recommend improvements.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·

Command: optimize-referrals

Inputs

  • window – analysis horizon (7d, 30d, 90d).
  • detail – summary | full to control output length.
  • dimensions – optional breakdowns (channel, persona, partner-tier, region).
  • experiments – optional list of tests to evaluate.
  • alert_threshold – optional KPI threshold for escalations.

GTM Agents Pattern & Plan Checklist

Mirrors GTM Agents orchestrator blueprint @puerto/plugins/orchestrator/README.md#112-325.

  • Pattern selection: Optimization review typically runs pipeline (data refresh → diagnostics → risk review → partner health → action plan). If diagnostics + risk review can run concurrently, note a diamond block with merge gate in the plan header.
  • Plan schema: Save .claude/plans/plan-<timestamp>.json capturing window, datasets, task IDs, dependency graph (BI, fraud, partner ops), error handling, and success metrics (conversion lift, fraud reduction, partner NPS).
  • Tool hooks: Reference docs/gtm-essentials.md stack—Serena for schema diffs, Context7 for referral SOPs/partner comms, Sequential Thinking for retro cadence, Playwright for offer flows or portal QA.
  • Guardrails: Default retry limit = 2 for failed data pulls or fraud model runs; escalation ladder = Referral Architect → Partner Ops → Exec sponsor.
  • Review: Run docs/usage-guide.md#orchestration-best-practices-puerto-parity before distributing recommendations to confirm dependencies and approvals.

Workflow

  1. Data Refresh – pull referral submissions, conversions, payouts, fraud flags, and NPS per dimension.
  2. Performance Diagnostics – inspect funnel (invites → referrals → pipeline → revenue) and incentive efficiency.
  3. Risk Review – run fraud heuristics, identify suspicious cohorts, confirm compliance logs.
  4. Partner Health – evaluate top/bottom partners, share-of-voice, and engagement levels.
  5. Playbook Output – recommend experiments (incentive tweaks, messaging, partner enablement) with expected impact.

Outputs

  • Performance dashboard snapshot with annotated insights.
  • Fraud/risk summary referencing fraud-detection skill outputs.
  • Optimization backlog with owners, ETA, and projected lift.
  • Plan JSON entry stored/updated in .claude/plans for audit trail.

Agent/Skill Invocations

  • referral-architect – prioritizes experiments + approvals.
  • lifecycle-ops – implements tooling or messaging changes.
  • fraud-detection skill – validates risk findings.
  • partner-ops skill – coordinates partner communications.

GTM Agents Safeguards

  • Fallback agents: document substitutes (e.g., Lifecycle Ops covering Architect) when leads unavailable.
  • Escalation triggers: if alert_threshold breached twice or fraud risk spikes, trigger GTM Agents rip-cord escalation and record actions in plan JSON.
  • Plan maintenance: update plan JSON/change log whenever metrics, thresholds, or partner tiers change to maintain audit continuity.

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