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Agent skill

56 Retargeting Plan Global

by minhnv0807 in minhnv0807/ai-business-skills

A skill your agent uses when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion…

MITAuto-check passedMarketing & SEO

Install 56 Retargeting Plan Global

skills CLI
$ npx skills add minhnv0807/ai-business-skills --skill 56-retargeting-plan-global -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install minhnv0807/ai-business-skills 56-retargeting-plan-global --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/en/56-retargeting-plan-global .claude/skills/56-retargeting-plan-global && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
56-retargeting-plan-global
GitHub stars
609
Token cost
~2.8k tokens
SKILL.md length
1,199 words
Files
1
Skills in repo
142
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion…

  • Works in 7 steps: Build the durable first-party base first → Audience tiers → Message framework per tier → …
  • Warm audiences need a plan — retargeting tiers by intent and recency
  • SKILL.md covers Information gathering, Principles, Workflow and Output structure, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

56 Retargeting Plan Global is an agent skill from minhnv0807/ai-business-skills. Use when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion rules, and a first-party data base that survives iOS ATT and cookie deprecation. Trigger on 'retargeting', 'remarketing', 'warm audience', 'custom audience setup', 'retarget cart abandoners', 'my retargeting pool is too small'. Also use when the user says people visit once and never come back. Not for — cold prospecting audiences, see…

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Email marketing, Market research and Referral and retention marketing. It works with iOS. The repository describes itself as: 138 bilingual AI marketing skills (69 VN + 69 Global) for Claude Code, OpenCode, Codex, VS Code. Four role SOP packs — content, design, performance, leader ops — plus strategy… The licence is MIT.

When your agent uses it

  • Warm audiences need a plan — retargeting tiers by intent and recency
  • A different message per tier
  • Attribution windows
  • Lookalike seeds

Example prompts

  • “retargeting”
  • “remarketing”
  • “warm audience”
  • “/56-retargeting-plan-global”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Build the durable first-party base first
  2. Audience tiers
  3. Message framework per tier
  4. Creative formats
  5. Frequency caps
  6. Lookalike and similar audiences
  7. Exclusions

What it can do on your machine

Read from SKILL.md and the folder at commit 0360adc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

56 Retargeting Plan Global loads about 2.8k tokens when it runs. Until then it costs about 187 tokens; SKILL.md has 1,199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~187
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from minhnv0807/ai-business-skills at commit 0360adc, republished under its MIT licence (© minhnv0807). 1,199 words, ~2,833 tokens.

Download SKILL.mdSave it as .claude/skills/56-retargeting-plan-global/SKILL.md (or your agent's skills folder).
name
56-retargeting-plan-global
description
Use when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion rules, and a first-party data base that survives iOS ATT and cookie deprecation. Trigger on 'retargeting', 'remarketing', 'warm audience', 'custom audience setup', 'retarget cart abandoners', 'my retargeting pool is too small'. Also use when the user says people visit once and never come back. Not for — cold prospecting audiences, see `51-audience-research-global`; the pixel and events that feed these audiences, see `53-tracking-setup-global`; email win-back flows, see `14-email-marketing-global`; raising budgets, see `55-scaling-ads-global`.
metadata.version
1.0.1
metadata.category
performance
license
MIT
triggers
retargeting, remarketing, warm audience, custom audience, lookalike audience, retarget cart abandoners, my retargeting pool is shrinking, win back past…
output
File .md — retargeting strategy: audience tiers, message framework per tier, first-party list plan, lookalike brief, frequency caps, and exclusion rules
related
product-marketing-context-global, 51-audience-research-global, 53-tracking-setup-global, 55-scaling-ads-global, 05-ad-copy-global…

Retargeting Plan (Global)

Retargeting is a conversation with people who already know you. The message must differ completely from cold ads: handle objections, do not reintroduce the brand. Never serve the same ad to cold and warm audiences.

Information gathering

Ask up to 4 questions:

  1. Which platforms and which offer are being retargeted? Meta / Google / TikTok / YouTube / Pinterest / email and SMS?
  2. What event data already exists? Video views, page engagement, landing page visits, add to cart, checkout started, form submits, purchases. If none, run 53-tracking-setup-global first and let data accumulate.
  3. How large are the current warm pools, and how large is the first-party list? Pixel audience size plus email/SMS/CRM list size.
  4. Budget, and what is the main objection? Price, trust, timing, or "not now"?

Principles

  1. Message intensity follows audience heat. Hotter audiences get the offer and urgency; cooler audiences get trust and value.
  2. Shorter window means hotter audience means stronger message. Someone who visited yesterday is not someone who watched a video last month.
  3. First-party data is the durable base, not pixel audiences. Post-iOS ATT and with third-party cookies deprecated, pixel-built retargeting pools are materially smaller and decay faster than they used to. Email, SMS, and CRM lists you own do not disappear when a browser changes policy. Build the plan on owned lists and treat pixel audiences as an accelerator.
  4. Always exclude converters. Do not waste impressions on people who already bought, unless there is a genuine upsell.
  5. Frequency caps are mandatory. High-frequency retargeting produces irritation and negative feedback, which raises costs.
  6. Retargeting is 10-20% of budget (repo operating standard is 15%). The pool is finite; volume comes from cold.
  7. Seed quality beats seed size. A lookalike from purchasers beats a lookalike from viewers.
  8. Consent applies to every uploaded list. Custom Audience and Customer Match uploads require documented marketing consent, hashed data, and removal on opt-out — see the consent section in 53-tracking-setup-global.

Workflow

1. Build the durable first-party base first

Before designing pixel tiers, confirm these exist:

AssetWhy it mattersMinimum action
Email list with consentSurvives cookie and ATT changes; usable on every platformCapture email before or during checkout, and on the lead magnet
SMS list with consentHigh-intent channel in US marketsExplicit opt-in with a documented double confirmation where required
CRM with source fieldsConnects retargeting to actual revenueSource, campaign, stage, revenue, opt-out flag
Logged-in or account usersStable identifier across devicesEncourage account creation post-purchase
Server-side event streamRecovers events browsers dropConversions API / Events API (53-tracking-setup-global)

If pixel pools are too small to run, the first-party list is what keeps retargeting alive. Upload it as a Custom Audience and Customer Match list, and run email and SMS flows in parallel through 14-email-marketing-global.

2. Audience tiers
TierAudienceSignalWindowMessage direction
1 (hottest)Add to cart / checkout startedPixel + server event7-14 daysStrong offer, urgency, guarantee
2Lead form opened but not submitted, open sales conversationPixel, CRM3-7 daysReminder, remove the next-step friction
3Landing page visitors who did not convertPixel + server event14-30 daysTrust, social proof, objection handling
4Video viewers above 50%Platform engagement audience14-30 daysDeepen interest, educate, prove
5Page and post engagersPlatform engagement audience30-60 daysSoft offer, value add
6Email / SMS / CRM listFirst-party uploadContinuousNurture through owned channels, ads as reinforcement
7Past customersPurchase event + CRM180 daysUpsell, cross-sell, replenishment, loyalty

Note on durability: tiers 1-5 are pixel-dependent and will be smaller than the platform-reported estimate suggests. Tiers 6 and 7 are the ones you control. If tiers 1-3 are too small to spend the planned budget, merge them into a single hot tier rather than running several starved ad sets.

3. Message framework per tier
  • Tiers 1-2 (about to buy): offer, urgency, guarantee. CTA: "Complete your order", "Finish signing up". Formats: dynamic product ads, countdown, limited availability, abandoned-cart email plus SMS in sequence.
  • Tiers 3-4 (interested): objection handling, social proof, soft CTA. CTA: "See how it works", "Read the reviews". Formats: testimonial video, FAQ, comparison, founder explainer.
  • Tiers 5-6 (aware): value add and soft offer. CTA: "Learn more", "Get the free [resource]". Formats: educational content, case study, newsletter.
  • Tier 7 (existing customers): upsell, cross-sell, replenishment, member-only pricing. CTA: "Your exclusive offer". Formats: bundle, subscription, referral (see 18-referral-program-global).

Message-to-audience map to hand to 05-ad-copy-global:

AudienceCore message
Video viewers 75%Education plus proof
Site visitors, last 3 daysStrong offer plus urgency
Page visitors who did not convertAddress the objection plus scarcity
Open sales conversationPersonal, last chance
Email subscribers, never purchasedFirst-purchase incentive
Past customersUpsell, cross-sell, replenishment
Show full SKILL.md (420 more words)Show less
4. Creative formats
  • Dynamic product ads (catalog required): re-show exactly what was viewed.
  • Testimonial and review video: answers "can I trust this".
  • Comparison and FAQ: answers a specific, named objection.
  • Urgency creative: countdown, limited stock — tiers 1-2 only, and only when the scarcity is real.
  • Founder or behind-the-scenes: works well on tiers 4-5 where the barrier is familiarity.
5. Frequency caps
PlatformRecommended cap
Meta2-3 impressions per 7 days (hot tiers may run slightly higher)
TikTok3-4 impressions per 7 days
YouTube2 impressions per day
Any platform, absolute ceiling2-3 impressions per person per day
6. Lookalike and similar audiences
SeedMinimum seed sizeLookalike %PlatformPurpose
Purchasers>= 1001%MetaHighest-quality prospecting
High-value purchasers (top revenue decile)>= 1001-2%MetaValue-based lookalike
Qualified leads>= 5001-3%MetaScale lead generation
Video viewers 75%>= 1000BroadTikTokScale awareness
Email / CRM list>= 3001-5%Meta, Google Customer MatchExtend from owned data

Lookalikes are cold campaigns and sit in the 5% lookalike slice of the 30/50/15/5 split, not in the retargeting budget — but their seeds are produced by this system. Build value-based lookalikes wherever revenue data is available; they consistently beat flat purchaser seeds.

7. Exclusions
  • Existing purchasers (unless a genuine upsell path exists)
  • Submitted leads and closed deals
  • Email and SMS unsubscribes, and anyone who exercised an opt-out right
  • Audiences currently running in prospecting campaigns (exclude in both directions)
  • Cross-tier: hotter tiers excluded from cooler tiers, so each person sits in exactly one tier

Output structure

File name: retargeting-plan-[product]-[YYYYMMDD].md

markdown
# Retargeting Plan — [Product/Campaign]
Platforms: [x] · Budget: [amount] ([%] of total) · Primary window: [days]

## 1. First-party base      [lists owned, size, consent status, growth plan]
## 2. Audience tiers        [tier, audience, signal, window, estimated size]
## 3. Message per tier      [tier -> message -> CTA -> format]
## 4. Creative brief        [what to produce; hand to 05-ad-copy-global]
## 5. Frequency caps        [per platform]
## 6. Lookalike brief       [seed, %, purpose, refresh cadence]
## 7. Exclusion rules       [converters, opt-outs, prospecting overlap, cross-tier]
## 8. Expected KPIs         [retargeting CPA and ROAS, typically 2-3x better than prospecting]
  • 51-audience-research-global: defines the original cold/warm/hot tiering.
  • 53-tracking-setup-global: pixel, server-side events, and consent are the raw material for every custom audience.
  • 05-ad-copy-global: writes the copy for each tier's message.
  • 52-account-structure-global: retargeting sits in its own campaign with cross-exclusions.
  • 55-scaling-ads-global: scaling cold grows the warm pool — raise retargeting budget in step.
  • 14-email-marketing-global: the owned-channel half of tiers 6 and 7.
  • 16-marketing-psychology-global: objection handling, social proof, and honest scarcity.

Quality checklist

  • First-party list plan documented before pixel tiers, with consent status per list
  • Only tiers with enough people to actually spend are created; thin tiers merged
  • Each tier has its own message, CTA, and format — no shared creative with cold
  • Windows match audience heat: hotter means shorter window and stronger message
  • Frequency caps stated per platform
  • Lookalike seeds meet minimum size, with value-based seeds used where revenue data exists
  • Exclusions complete: purchasers, closed leads, opt-outs, prospecting overlap, cross-tier
  • Retargeting budget within 10-20% of total (standard 15%)
  • Plan acknowledges pixel pool decay and does not depend on pixel audiences alone

© minhnv0807, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/en/56-retargeting-plan-global of minhnv0807/ai-business-skills.

Open the folder on GitHubat commit 0360adc

Compare with similar skills

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Works with

Categories

Questions about 56 Retargeting Plan Global

What does 56 Retargeting Plan Global do?

A skill your agent uses when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion…. 56 Retargeting Plan Global is an agent skill from minhnv0807/ai-business-skills. Use when warm audiences need a plan — retargeting tiers by intent and recency, a different message per tier, frequency caps, attribution windows, lookalike seeds, exclusion rules, and a first-party data base that survives iOS ATT and cookie deprecation.

When should I use 56 Retargeting Plan Global?

56 Retargeting Plan Global fits situations like: warm audiences need a plan — retargeting tiers by intent and recency; A different message per tier; attribution windows; lookalike seeds.

How do I install 56 Retargeting Plan Global in Claude Code?

Run `npx skills add minhnv0807/ai-business-skills --skill 56-retargeting-plan-global -a claude-code`. Or copy the skill folder (skills/en/56-retargeting-plan-global in minhnv0807/ai-business-skills) into .claude/skills/56-retargeting-plan-global in your project. Claude Code loads it when a task matches its description.

How do I install 56 Retargeting Plan Global in Codex?

Run `npx skills add minhnv0807/ai-business-skills --skill 56-retargeting-plan-global -a codex`. Or copy the skill folder (skills/en/56-retargeting-plan-global in minhnv0807/ai-business-skills) into .agents/skills/56-retargeting-plan-global in your project. Codex loads it when a task matches its description.

Can I use 56 Retargeting Plan Global in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minhnv0807/ai-business-skills --skill 56-retargeting-plan-global -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/56-retargeting-plan-global, .gemini/skills/56-retargeting-plan-global, .github/skills/56-retargeting-plan-global and .opencode/skills/56-retargeting-plan-global in your project.

What does 56 Retargeting Plan Global need to run?

SKILL.md names no scripts, command-line tools or credentials: 56 Retargeting Plan Global is instructions for the agent only.

Does 56 Retargeting Plan Global access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is 56 Retargeting Plan Global safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does 56 Retargeting Plan Global use?

56 Retargeting Plan Global is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 56 Retargeting Plan Global use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to 56 Retargeting Plan Global?

Skills that share tags, products or a category with 56 Retargeting Plan Global: Email Sequence Designer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Revops (AvdLee/RocketSimApp, 806 stars), Email Generation (extruct-ai/gtm-skills, 109 stars) and Suede Emails (JasonColapietro/suede-creator-skills, 127 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 56 Retargeting Plan Global?

minhnv0807 (a GitHub user) maintains it in minhnv0807/ai-business-skills, which has 609 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on September 12, 2026.

Source: minhnv0807/ai-business-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.