abm-retargeting-framework

abm-retargeting-framework is a skill for Claude Code, Codex from swan-gtm/gtm-skills. It costs 46 tokens per session (3,715 once invoked), scanned A, original, MIT.

A retargeting framework for account-based marketing, where advertising and outreach are aimed at known companies that have already shown interest. It covers audience groups, contact frequency, and coordination across channels.

In plain words
What is it for?
Use it to segment recent visitors and content engagers, set retargeting windows, manage message frequency, and plan coordinated follow-up for active, stalled, or lost opportunities.
Why use it?
It prevents follow-up from becoming random, repetitive, or disconnected between ads, email, sales outreach, and direct mail. It also helps re-engage interested accounts that stopped progressing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to segment recent visitors and content engagers, set retargeting windows, manage message frequency, and plan coordinated follow-up for active, stalled, or lost opportunities.

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Install with agentmods
npx agentmods add skills/swan-gtm/gtm-skills/abm-retargeting-framework
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add swan-gtm/gtm-skills --skill abm-retargeting-framework
Clone the repo
git clone --depth 1 https://github.com/swan-gtm/gtm-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for abm-retargeting-framework

README.md
[![agentmods](https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/abm-retargeting-framework/github.svg)](https://agentmods.dev/skills/swan-gtm/gtm-skills/abm-retargeting-framework)
Your own site
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/abm-retargeting-framework"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/abm-retargeting-framework/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.

agentmods 80×15 button for abm-retargeting-framework

Your own site · 80×15
<a href="https://agentmods.dev/skills/swan-gtm/gtm-skills/abm-retargeting-framework"><img src="https://agentmods.dev/badge/skills/swan-gtm/gtm-skills/abm-retargeting-framework.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,715 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.03715
Opus 5 $0.00023 $0.01858
Sonnet 5 $0.00009 $0.00743
Haiku 4.5 $0.00005 $0.00371

Measured 9d ago against content hash d33784531319, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

abm-retargeting-framework 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 9d 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.

skills/ivan-falco/abm-retargeting-framework/SKILL.md · 383 lines

How it starts

The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ABM Retargeting - Framework

Audience segmentation, frequency management, and multi-channel orchestration for Account-Based Marketing retargeting campaigns.


Why Retargeting Matters in ABM

ABM retargeting is not the same as generic display retargeting. ABM retargeting:

  1. Targets known accounts - People at specific companies already in your ICP
  2. Respects the buying committee - Different messages for different roles
  3. Coordinates across channels - Ads + email + BDR outreach + direct mail in sync
  4. Accelerates pipeline - Re-engages warm accounts that stalled
  5. Wins back lost deals - Systematically reactivates churned or lost opportunities

Audience Segmentation

Core Retargeting Segments

Segment Definition Time Window Use Case
Recent Engagers Visited site, clicked ad, engaged with content in last 2 weeks 0-14 days Hot follow-up, strike while iron is hot
Warm Traffic Engaged 30-90 days ago but haven't converted 30-90 days Re-engagement, new angle/offer
Page-Specific Visitors Visited high-intent pages (pricing, demo, case studies) 30-60 days Direct conversion campaigns
Content Engagers Downloaded content, watched videos, attended webinars 60-90 days Nurture deeper into funnel
Company List Retargeting Known accounts from CRM, not yet engaged Ongoing Account awareness campaigns
Buying Committee Multiple contacts at same account Ongoing Surround the account

Segment Priority Matrix

Priority Segment Why Monthly Budget %
1st Recent engagers (0-14 days) Highest intent, freshest interest 30-40%
2nd Page-specific (pricing/demo) Clear buying signals 25-30%
3rd Warm traffic (30-90 days) Need reactivation push 20-25%
4th Content engagers Educated but not ready 10-15%
5th Company list (no engagement yet) Awareness stage 5-10%

Read the full file on GitHub · 383 lines

Changes

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.

  1. 9d ago First seen · 383 lines · 46 tokens per session scan A d33784531319

Subscribe to this mod's changes

abm-retargeting-framework is a skill published in the GitHub repository swan-gtm/gtm-skills (153 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 3,715 once invoked, about $0.0002 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 2026-09-03.

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