MarketingGrowth & CRO

Marketing Loops

When the user wants to set up a recurring, self-running marketing workflow — a repeatable loop an AI agent runs on a cadence (weekly, daily, on a trigger) rather than a one-off task.

CCorey Haines·Marketing·MIT

Library skill — the default version is maintained in GitHub; edits you make live in your own clone.

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Marketing Loops

You help set up marketing loops — repeatable marketing workflows an AI agent runs on a cadence, each with a defined trigger, a bounded set of steps, a self-check, and an explicit stopping condition. A loop turns a marketing task you'd otherwise do manually (and forget) into an always-on system: the weekly SEO opportunity scan, the ad-fatigue refresh, the churn-signal watch.

This is the operational cousin of marketing-ideas. Ideas tell you what to try once. Loops tell you what to keep doing on a schedule — and wire the other marketing skills together to do it.

How to Use This Skill

Check for product marketing context first: if .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md), read it before asking questions. Use that context and only ask for what's missing.

Then: 1. Clarify the job. What outcome should this loop protect or grow? (rankings, ad efficiency, activation, retention, revenue, referrals) 2. Pick a loop from the catalog in references/loop-catalog.md — or adapt the closest one. 3. Tune the cadence to how fast the underlying signal actually changes (see the cadence rule below). 4. Confirm the human checkpoint. Decide what the loop does autonomously vs. what it stages for human approval before publishing or spending — see references/loop-guardrails.md. 5. Schedule it (see "Scheduling a loop" below).

Building more than one loop, or a whole marketing operating system? See references/loop-orchestration.md for how loops compose and the order to adopt them (start with tracking + a weekly review; don't build 43 at once).

Anatomy of a Marketing Loop

Every loop in the catalog has these nine parts. When you author or adapt one, fill all of them — a loop missing a stop condition, a self-check, or its state handling is a liability, not an asset.

Part What it defines
Check cadence How often the loop looks (weekly / daily / on-trigger). Match it to signal speed.
Acts when The action condition — what must be true to actually do something, vs. just check and skip. Most runs of a good loop are "checked, nothing to do."
Purpose The one outcome this loop exists to move.
Skills used Which marketing skills the loop orchestrates each iteration.
Loop body The ordered steps run each iteration.
Self-check The verification done before acting — so the loop doesn't act on noise, seasonality, or a tracking bug.
State / idempotency What the loop remembers between runs: last-run marker, dedupe key, cooldown window, "already handled" set. Without this, loops double-act, re-nag the same people, or re-alert the same thing. Non-negotiable for anything scheduled — see references/loop-state.md for where state lives and the idempotency patterns.
Stop / bail-out When the loop skips, halts, escalates to a human, or disables itself — plus what it does on error. Every loop needs one, including heartbeat loops (their stop is "manual disable + error-halt," never "n/a").
Output Where results go: a file, a PR, a staged draft, a notification, a report.

The Check cadence / Acts when split matters: a churn-signal loop might check daily but only act when an account crosses a risk threshold it hasn't been contacted about inside the cooldown window. Conflating the two produces loops that either miss the window or spam.

The cadence rule

Match cadence to how fast the signal actually changes — not to how often you'd like an update.

Signal Realistic cadence Why
Rankings, backlinks, domain authority Weekly Move slowly; daily checks are noise
Ad creative fatigue, CPA drift Every 2–3 days Meta/Google feedback loops are days, not hours
Activation / onboarding funnel Weekly Needs enough signups to be significant
Churn signals Daily or on-trigger Early intervention window is short
Content / copy decay Monthly Traffic erosion is gradual
Competitor changes Weekly Pricing/positioning shifts are infrequent but matter
Social listening / mentions Daily Engagement windows close fast

Over-frequent loops are the most common failure mode: they generate busywork, burn budget, and train you to ignore the output.

When NOT to loop

Not everything should be automated on a cadence. Skip a loop — or add a mandatory human checkpoint — when:

For any loop that sends, spends, publishes, or touches personal data, apply references/loop-guardrails.md — the two-tier action model (autonomous-safe vs. gated), spend/send caps, CAN-SPAM/GDPR/FTC/ToS rules, the always-escalate list, and a required kill switch.

Scheduling a loop

These loops are agent-agnostic — the body works in any agent. The scheduling depends on your environment:

Default to time-of-day cron for review-style loops (weekly review, ranking watch) and dynamic pacing for monitor-until-threshold loops (churn watch, launch-day tracking).

The Catalog

references/loop-catalog.md holds the full library — 43 marketing loops with thorough funnel coverage: SEO & Content, Paid, Earned/Social/Partnerships, Activation, Retention, Revenue, Referral & Advocacy, and Ongoing Ops. Each is a complete, adaptable spec. Start there, pick the closest match, and tune it to the user's product, stage, and tooling.

Authoring a new loop

When nothing in the catalog fits, author a new loop from references/loop-template.md — a copy-paste template with fill-in prompts, a worked before/after example, and a ship checklist. Fill all nine anatomy parts; if you can't answer the self-check, state/idempotency, and stop/bail-out concretely, the loop isn't ready to run.

Anti-patterns

Banned vocabulary

Avoid: "set it and forget it," "fully autonomous marketing," "AI does everything," "10x on autopilot," "growth hacking machine." Loops are disciplined systems with checkpoints, not magic. Describe them honestly.

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