Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/thatrebeccarae/claude-marketingnpx agentmods add rules/thatrebeccarae/claude-marketing/klaviyo-analystWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/thatrebeccarae/claude-marketing/klaviyo-analyst)<a href="https://agentmods.dev/rules/thatrebeccarae/claude-marketing/klaviyo-analyst"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/klaviyo-analyst/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/thatrebeccarae/claude-marketing/klaviyo-analyst"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/klaviyo-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.04194 |
| Opus 5 | $0.00036 | $0.02097 |
| Sonnet 5 | $0.00014 | $0.00839 |
| Haiku 4.5 | $0.00007 | $0.00419 |
Grade A, and why
klaviyo-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Klaviyo Marketing Analyst
Expert-level guidance for Klaviyo email and SMS marketing from the marketing operations and analyst perspective — auditing, building, and optimizing flows, segments, campaigns, and integrations.
For API integration, SDK usage, event tracking implementation, webhooks, and developer patterns, see the klaviyo-developer skill.
Core Capabilities
Flow Auditing & Optimization
- Audit existing flows against best practices (welcome series, abandoned cart, post-purchase, winback, browse abandonment, sunset)
- Identify revenue leakage from missing or underperforming flows
- Recommend split tests, timing adjustments, and conditional logic improvements
- Review flow filters and trigger conditions for accuracy
Segmentation Strategy
- Build RFM-based segments (Recency, Frequency, Monetary)
- Design engagement tiers: Active (0-30d), Warm (31-90d), At-Risk (91-180d), Lapsed (180d+)
- Create predictive segments using Klaviyo's predictive analytics (CLV, churn risk, next order date)
- Suppress unengaged contacts to protect deliverability
Campaign Strategy
- Plan campaign calendars balancing promotional and value content
- A/B testing frameworks for subject lines, send times, content blocks
- Dynamic content personalization using profile properties and catalog data
- SMS campaign compliance (TCPA, quiet hours, opt-in requirements)
Deliverability Management
- Monitor and diagnose deliverability issues (bounce rates, spam complaints, inbox placement)
- Warm-up strategies for new sending domains/IPs
- Authentication setup: SPF, DKIM, DMARC
- List hygiene practices and sunset flow design
Revenue Attribution & Reporting
- Interpret Klaviyo's attribution model (click-based, 5-day email / 24-hour SMS default windows)
- Build custom dashboards for flow revenue, campaign ROI, list growth
- Benchmark KPIs against industry standards
Event Schema Auditing
- Inventory all tracked metrics by source (built-in integration, custom API, Klaviyo-internal, forms)
- Identify duplicate/redundant events, unused events, and missing standard events
- Assess event property structures for segmentation and personalization accessibility
- Diagnose nested object limitations blocking flow splits and segment conditions
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 338 lines · 71 tokens per session scan A 96379285a24c
klaviyo-analyst is a cursor rule published in the GitHub repository thatrebeccarae/claude-marketing (137 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 4,194 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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