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retargeting-window-analysis

Analyzes your conversion lag data to determine the optimal retargeting window for each audience segment. Tells you whether your 30-day retargeting window should actually be 7 days, 14 days, or 60 days based on when people actually convert after their first visit. Platform: Meta.

Install / Use

npx skills add irinabuht12-oss/marketing-skills --skill retargeting-window-analysis

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

80/100

Supported Platforms

Universal

Tags

Our assessment of retargeting-window-analysis

retargeting-window-analysis scores 80/100 on our quality scale, 2294th of 3,680 Development & Engineering skills we index.

Its SKILL.md is 2.7 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.

With 1,836 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 6 days ago, so retargeting-window-analysis is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

retargeting-window-analysis compared with similar skills

All 4 of these similar skills score higher than retargeting-window-analysis; compare them before choosing.

SkillScoreStarsUpdatedFormat
retargeting-window-analysis (this skill)by irinabuht12-oss801.8k6d agoSKILL.md
ai-job-searchby MadsLorentzen10044.5k1d agoCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md

Frequently asked questions

How do I install retargeting-window-analysis?
Run npx skills add irinabuht12-oss/marketing-skills --skill retargeting-window-analysis. The install tabs above show the steps for each supported agent.
Which AI agents does retargeting-window-analysis work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is retargeting-window-analysis safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is retargeting-window-analysis still maintained?
The repository was last updated 6 days ago, so retargeting-window-analysis is actively maintained.

name: retargeting-window-analysis description: Analyzes your conversion lag data to determine the optimal retargeting window for each audience segment. Tells you whether your 30-day retargeting window should actually be 7 days, 14 days, or 60 days based on when people actually convert after their first visit. Platform: Meta. metadata: platform: Meta

22/ Retargeting Window Analysis — Meta

What it does

Analyzes your conversion lag data to determine the optimal retargeting window for each audience segment. Tells you whether your 30-day retargeting window should actually be 7 days, 14 days, or 60 days based on when people actually convert after their first visit.

How it works

Claude looks at time-to-conversion data across your retargeting audiences — how many days between first site visit and conversion. It segments this by traffic source, product category, and audience type to find the window where most conversions happen and where retargeting spend stops producing returns.

Practical example

Your default retargeting window is 30 days for all audiences. Claude's analysis shows that 78% of conversions from Meta prospecting traffic happen within 7 days, and only 4% happen after day 14. But for Google Search traffic, conversions are spread more evenly with 35% happening between days 14-30. Claude recommends splitting your retargeting: a 7-day high-bid window for Meta traffic (where urgency is highest), a 14-day standard window for search traffic, and cutting the 14-30 day window for Meta-sourced visitors entirely — saving $1,900/month in retargeting spend on users who weren't going to convert.

What you get back

  • Conversion lag distribution by traffic source and audience segment
  • Optimal retargeting window for each segment with confidence levels
  • Current spend in each window period with conversion contribution
  • Recommended window adjustments with projected savings
  • Bid adjustment recommendations by recency (higher bids for recent visitors, lower for older)

When to use it

  • When setting up retargeting campaigns for new accounts
  • When retargeting CPA is creeping up and audience pools need tightening
  • After significant changes in conversion funnel or product offering
  • Quarterly to check if conversion behavior patterns have shifted

Data access (Ryze MCP)

This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:

  • claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → https://connector.get-ryze.ai/mcp
  • Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
  • Cursor: Settings → MCP → add the same URL

Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

Related Skills

View on GitHub
GitHub Stars1.8k
CategoryDevelopment
Updated6d ago
Forks537

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium