Agent skill

Retargeting Strategy

by indranilbanerjee in indranilbanerjee/digital-marketing-pro

Design a retargeting strategy: audience windows, sequencing, frequency caps.

MITAuto-check passedMarketing & SEO

Install Retargeting Strategy

skills CLI
$ npx skills add indranilbanerjee/digital-marketing-pro --skill retargeting-strategy -a claude-code

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

GitHub CLI
$ gh skill install indranilbanerjee/digital-marketing-pro retargeting-strategy --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/indranilbanerjee/digital-marketing-pro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/retargeting-strategy .claude/skills/retargeting-strategy && 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
retargeting-strategy
GitHub stars
862
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
831 words
Files
1
Skills in repo
162
Repo updated
First seen
Licence
MIT

At a glance

Design a retargeting strategy: audience windows, sequencing, frequency caps.

  • Works in 12 steps: Load brand context: Read… → Check campaign history: Run python… → Audit tracking infrastructure: Verify… → …
  • Marketing & SEO work in your project
  • SKILL.md covers Purpose, Input Required, Process and Output, plus 1 more section
  • Calls python

What it does

Retargeting Strategy is an agent skill from indranilbanerjee/digital-marketing-pro. Design a retargeting strategy: audience windows, sequencing, frequency caps. "plan our remarketing campaigns"

Its SKILL.md is about 1.7k 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. The repository describes itself as: An open-source AI marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CRM, and analytics - grounded in brand context, human approval, and verifiable… The licence is MIT.

When your agent uses it

  • Marketing & SEO work in your project

Example prompts

  • “plan our remarketing campaigns”
  • “/retargeting-strategy”

Requirements

  • Python 3

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load…
  2. Check campaign history: Run python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns to review…
  3. Audit tracking infrastructure: Verify pixel and tag installation status across platforms. Identify gaps in tracking that would prevent…
  4. Define retargeting audience segments: Create segments based on funnel stage (awareness visitors, product viewers, cart abandoners, past…
  5. Design creative sequence per segment: Map a messaging sequence for each audience segment that progresses the user toward conversion…
  6. Set frequency caps per platform: Define impression frequency limits per user per day and per week for each platform. Balance visibility…
  7. Plan cross-platform coordination: Orchestrate retargeting across platforms so users see a coherent journey rather than redundant messages…
  8. Design exclusion lists: Define converter exclusion windows (exclude purchasers for 7-30 days post-conversion), cross-segment exclusions…
  9. Set budget allocation per segment: Distribute the retargeting budget across segments based on audience size, proximity to conversion, and…
  10. Configure dynamic retargeting: If a product catalog is available, specify dynamic ad setup -- feed requirements, template design, product…
  11. Define KPIs and optimization triggers: Set success metrics per segment and platform (ROAS, CPA, view-through conversions, frequency, CTR)…
  12. Create UTM structure for tracking: Build a UTM naming convention that enables granular tracking of retargeting performance by segment…

What it can do on your machine

Read from SKILL.md and the folder at commit 9e949f3. 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

    Shell commands in SKILL.md call:

    • python

    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

Retargeting Strategy loads about 1.7k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 831 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 indranilbanerjee/digital-marketing-pro at commit 9e949f3, republished under its MIT licence (© indranilbanerjee). 831 words, ~1,733 tokens.

Download SKILL.mdSave it as .claude/skills/retargeting-strategy/SKILL.md (or your agent's skills folder).
name
retargeting-strategy
description
Design a retargeting strategy: audience windows, sequencing, frequency caps. "plan our remarketing campaigns"

/digital-marketing-pro:retargeting-strategy

Script location. If your host does not set ${CLAUDE_PLUGIN_ROOT}, the scripts are in this plugin's scripts/ folder, next to skills/.

Purpose

Design a cross-platform retargeting strategy with audience segmentation by funnel stage and behavior, creative sequencing, frequency management, and budget allocation. Produces a complete retargeting playbook ready for implementation across advertising platforms.

Input Required

The user must provide (or will be prompted for):

  • Website traffic volume: Monthly unique visitors and page views (approximate is fine)
  • Conversion funnel stages: The key stages in the user journey (visit, product view, add to cart, checkout, purchase -- or equivalent for lead gen funnels)
  • Platforms in use: Which advertising platforms are active or available (Google Ads, Meta, LinkedIn, TikTok, programmatic DSPs, etc.)
  • Retargeting budget: Monthly budget allocated or available for retargeting campaigns
  • Product catalog: For dynamic retargeting -- whether a product feed exists and on which platforms it is configured
  • Average purchase cycle: Typical time from first visit to conversion (days, weeks, months)
  • Current retargeting setup: Any existing retargeting campaigns, pixel/tag status, audience definitions already in place, and current performance
  • Pixel and tracking status: Which pixels/tags are installed and firing correctly (Meta Pixel, Google Tag, LinkedIn Insight Tag, TikTok Pixel, etc.)

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply voice, compliance, industry context. Check guidelines/_manifest.json for restrictions, messaging, channel styles, voice-and-tone rules, and templates. If a template matching this command exists in ~/.claude-marketing/brands/{slug}/templates/, apply its format. If no brand exists, prompt for /digital-marketing-pro:brand-setup or proceed with defaults.
  2. Check campaign history: Run python "${CLAUDE_PLUGIN_ROOT}/scripts/campaign-tracker.py" --brand {slug} --action list-campaigns to review existing retargeting campaign performance and identify what has already been tested.
  3. Audit tracking infrastructure: Verify pixel and tag installation status across platforms. Identify gaps in tracking that would prevent audience building or conversion attribution before designing the strategy.
  4. Define retargeting audience segments: Create segments based on funnel stage (awareness visitors, product viewers, cart abandoners, past purchasers, lapsed customers), behavior signals (pages visited, time on site, visit frequency, content consumed), and recency windows (1-3 days, 4-7 days, 8-14 days, 15-30 days, 31-90 days). Size each segment based on traffic volume.
  5. Design creative sequence per segment: Map a messaging sequence for each audience segment that progresses the user toward conversion -- awareness segments get educational and value-prop messaging, consideration segments get social proof and differentiation, cart abandoners get urgency and incentive, past purchasers get upsell and cross-sell, and lapsed customers get re-engagement offers.
  6. Set frequency caps per platform: Define impression frequency limits per user per day and per week for each platform. Balance visibility against ad fatigue -- typically 3-5 impressions per day for display, 1-2 per day for social feed placements, and 15-20 per week maximum across all placements combined.
  7. Plan cross-platform coordination: Orchestrate retargeting across platforms so users see a coherent journey rather than redundant messages. Assign primary and secondary roles per platform (e.g., Meta for awareness retargeting, Google Display for mid-funnel, search remarketing for high-intent, LinkedIn for B2B decision-makers).
  8. Design exclusion lists: Define converter exclusion windows (exclude purchasers for 7-30 days post-conversion), cross-segment exclusions (prevent users from seeing both awareness and cart abandonment ads simultaneously), and negative audience rules to prevent waste and brand fatigue.
  9. Set budget allocation per segment: Distribute the retargeting budget across segments based on audience size, proximity to conversion, and expected ROAS. Bottom-funnel segments (cart abandoners) typically receive the highest per-user spend despite smaller audience sizes.
  10. Configure dynamic retargeting: If a product catalog is available, specify dynamic ad setup -- feed requirements, template design, product recommendation logic (viewed items, complementary products, best sellers), and fallback creatives for users without product-level data.
  11. Define KPIs and optimization triggers: Set success metrics per segment and platform (ROAS, CPA, view-through conversions, frequency, CTR). Define optimization triggers -- when to refresh creative, adjust bids, reallocate budget, or expand/contract audience windows.
  12. Create UTM structure for tracking: Build a UTM naming convention that enables granular tracking of retargeting performance by segment, platform, creative variant, and funnel stage in analytics.
Show full SKILL.md (166 more words)Show less

Output

A structured retargeting strategy document containing:

  • Audience segment definitions with sizing estimates, recency windows, and behavioral criteria
  • Creative brief per segment with messaging themes, ad formats, and sequencing logic
  • Frequency cap recommendations per platform with rationale for each limit
  • Cross-platform coordination plan showing which platform serves which funnel role
  • Exclusion list definitions with converter suppression windows and cross-segment rules
  • Budget allocation table by segment and platform with expected ROAS targets
  • Dynamic retargeting setup guide with feed requirements and product recommendation logic
  • KPI framework with targets per segment, optimization triggers, and review cadence
  • UTM structure and naming conventions for retargeting campaign tracking
  • 30/60/90-day optimization roadmap with milestone checkpoints and scaling criteria
  • Privacy and compliance considerations (cookie consent, GDPR/CCPA audience restrictions, platform-specific privacy limitations)
  • Tracking infrastructure checklist with pixel/tag verification requirements per platform

Agents Used

  • media-buyer -- Audience segmentation, platform-specific retargeting setup, frequency management, budget allocation, bid strategy, dynamic retargeting configuration, and campaign structure design
  • marketing-strategist -- Creative sequencing strategy, cross-platform coordination, funnel-stage messaging architecture, and optimization roadmap planning

© indranilbanerjee, 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/retargeting-strategy of indranilbanerjee/digital-marketing-pro.

Open the folder on GitHubat commit 9e949f3

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in indranilbanerjee/digital-marketing-pro, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Retargeting Strategy

What does Retargeting Strategy do?

Design a retargeting strategy: audience windows, sequencing, frequency caps. Retargeting Strategy is an agent skill from indranilbanerjee/digital-marketing-pro. Design a retargeting strategy: audience windows, sequencing, frequency caps.

When should I use Retargeting Strategy?

Retargeting Strategy fits situations like: marketing & SEO work in your project.

How do I install Retargeting Strategy in Claude Code?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill retargeting-strategy -a claude-code`. Or copy the skill folder (skills/retargeting-strategy in indranilbanerjee/digital-marketing-pro) into .claude/skills/retargeting-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Retargeting Strategy in Codex?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill retargeting-strategy -a codex`. Or copy the skill folder (skills/retargeting-strategy in indranilbanerjee/digital-marketing-pro) into .agents/skills/retargeting-strategy in your project. Codex loads it when a task matches its description.

Can I use Retargeting Strategy 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 indranilbanerjee/digital-marketing-pro --skill retargeting-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/retargeting-strategy, .gemini/skills/retargeting-strategy, .github/skills/retargeting-strategy and .opencode/skills/retargeting-strategy in your project.

What does Retargeting Strategy need to run?

Going by SKILL.md and its folder, Retargeting Strategy needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Retargeting Strategy 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 Retargeting Strategy 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 Retargeting Strategy use?

Retargeting Strategy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Retargeting Strategy use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Retargeting Strategy?

Skills that share tags, products or a category with Retargeting Strategy: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Retargeting Strategy?

indranilbanerjee (a GitHub user) maintains it in indranilbanerjee/digital-marketing-pro, which has 862 GitHub stars. The repository holds 162 skills in this directory. The repository was last updated on October 9, 2026.

Source: indranilbanerjee/digital-marketing-pro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.