Skip to content
Automation
Command

/monitor-loyalty

Evaluates loyalty program performance, member health, and experiment impact.

From plugin
gtm-agents
368199 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/monitor-loyalty

Context preview

What this command does when you run it.

Evaluates loyalty program performance, member health, and experiment impact.

Command definition

monitor-loyalty.md
name: monitor-loyalty
description: Evaluates loyalty program performance, member health, and experiment impact.
usage: /loyalty-lifecycle-orchestration:monitor-loyalty --window 30d --detail full --dimensions "tier,region"

Command: monitor-loyalty

Inputs

  • **window** – time range (7d, 30d, quarter) for analysis.
  • **detail** – summary | full report depth.
  • **dimensions** – optional breakdowns (tier, cohort, region, channel).
  • **experiments** – optional list of campaigns/tests to review.
  • **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**: Monitoring typically runs **pipeline** (data → diagnostics → experiments → action plan). If diagnostics and experiment review can run in parallel, document a **diamond** segment with merge gate in the plan header.
  • **Plan schema**: Save `.claude/plans/plan-<timestamp>.json` capturing window, feeds, task IDs, dependency graph (BI, CRM, experimentation), error handling, and success metrics (retention, liability, engagement lift, alert remediation time).
  • **Tool hooks**: Reference `docs/gtm-essentials.md` stack—Serena for metric definition diffs, Context7 for SOPs/dashboards, Sequential Thinking for retro cadence, Playwright for verifying embedded dashboards.
  • **Guardrails**: Default retry limit = 2 for failed data pulls or chart renders; escalation ladder = Member Insights Analyst → Loyalty Strategist → Exec sponsor.
  • **Review**: Run `docs/usage-guide.md#orchestration-best-practices-puerto-parity` before distributing outputs to ensure dependencies + approvals captured.

Workflow

1. **Data Pull** – collect enrollment, engagement, redemption, CSAT, and revenue metrics by selected window. 2. **Health Diagnostics** – evaluate tier mix, churn risk, point liability, and reward breakage. 3. **Member Insights** – surface segments needing nudges, upgrade opportunities, or win-back plays. 4. **Experiment Review** – summarize test results with lift, guardrails, and recommendations. 5. **Action Plan** – produce prioritized backlog (journey tweaks, rewards refresh, messaging updates).

Outputs

  • Dashboard snapshot with KPI trends and drilldowns.
  • Risk/Opportunity list referencing data points and owners.
  • Experiment readouts plus next-test suggestions.
  • Plan JSON entry stored/updated in `.claude/plans` for audit trail.

Agent/Skill Invocations

  • `member-insights-analyst` – owns analysis + insights.
  • `loyalty-strategist` – validates roadmap adjustments.
  • `member-insights` skill – ensures segmentation + reporting standards.

GTM Agents Safeguards

  • **Fallback agents**: document substitutes (e.g., Loyalty Strategist covering Analyst) when analysts unavailable.
  • **Escalation triggers**: if alert_threshold is breached twice or liability spikes, trigger GTM Agents rip-cord escalation and record remediation in plan JSON.
  • **Plan maintenance**: update plan JSON/change log when metrics, thresholds, or tooling stack shift to keep audit history accurate.

---

Read more
Ships withgtm-agents

Free AI automation for sales, marketing, and growth teams. No coding required.

Get the whole plugin