skill-156-first-party-data-collection-activation-strategy

skill-156-first-party-data-collection-activation-strategy is a skill for Claude Code from TrueClicks/claude-plugins. It costs 31 tokens per session (654 once invoked), scanned A, original, MIT.

A strategy review for collecting and using customer-owned information, such as email signups, loyalty records, and CRM data, in Google Ads. First-party data is information collected directly from a business's customers or visitors.

In plain words
What is it for?
Use it to review Customer Match lists, enhanced conversions, offline conversion imports, audience creation, CRM records, e-commerce data, and email subscribers.
Why use it?
It helps businesses assess data quality and activation as access to third-party tracking data declines.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the google-ads plugin — 145 skills, 4 commands shipped together

Good fit Use it to review Customer Match lists, enhanced conversions, offline conversion imports, audience creation, CRM records, e-commerce data, and email subscribers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trueclicks/claude-plugins/skill-156-first-party-data-collection-activation-strategy
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 TrueClicks/claude-plugins --skill skill-156-first-party-data-collection-activation-strategy
Clone the repo
git clone --depth 1 https://github.com/TrueClicks/claude-plugins

Made for: Claude Code.

Or install google-ads, the plugin that ships this one along with the rest of its 145 skills, 4 commands.

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 skill-156-first-party-data-collection-activation-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-156-first-party-data-collection-activation-strategy/github.svg)](https://agentmods.dev/skills/trueclicks/claude-plugins/skill-156-first-party-data-collection-activation-strategy)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/trueclicks/claude-plugins/skill-156-first-party-data-collection-activation-strategy"><img src="https://agentmods.dev/badge/skills/trueclicks/claude-plugins/skill-156-first-party-data-collection-activation-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 654 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.
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 $0.00031 $0.00654
Opus 5.5 $0.00012 $0.00262
Sonnet 5.5 $0.00006 $0.00131
Haiku 4.5 $0.00003 $0.00065

Measured 21d ago against content hash 2fb26fd8a64c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-156-first-party-data-collection-activation-strategy 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 21d 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.

plugins/google-ads/skills/skill-156-first-party-data-collection-activation-strategy/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill 156: First-Party Data Collection and Activation Strategy

Purpose

Assess first-party data collection and activation for Google Ads targeting and measurement. As third-party cookies decline, first-party data becomes essential for Customer Match, Enhanced Conversions, offline conversion import, and audience creation.

Data Requirements

Data Source: Custom GAQL Required

Standard export doesn't include Customer Match audience configuration or match rates.

Reference GAQL (Customer Match Audiences):

SELECT
  user_list.name,
  user_list.type,
  user_list.size_for_search,
  user_list.size_for_display,
  user_list.membership_status
FROM user_list
WHERE user_list.type = 'CRM_BASED'

Run via /google-ads:get-custom to inventory Customer Match lists.

Additional Data Sources:

  • CRM system (Salesforce, HubSpot) - email counts, data quality
  • E-commerce platform - customer records, transaction data
  • Email marketing platform - subscriber counts, engagement data
  • Google Ads Data Manager status

Analysis Steps

  1. Inventory data sources: Document all first-party data currently collected (CRM, e-commerce, email, loyalty)
  2. Assess data quality: Evaluate email validity rates, phone formatting, data recency
  3. Review activation status: Check Customer Match audiences, Enhanced Conversions, offline imports
  4. Identify collection gaps: Find missing collection points and low opt-in rates
  5. Evaluate privacy compliance: Verify consent mechanisms and data retention policies

Thresholds

Condition Severity
Enhanced Conversions not implemented Critical
Customer Match lists stale (>30 days since refresh) Critical
Match rate <50% on uploaded lists Warning
CRM data available but not uploaded to Google Ads Warning
Email capture rate <3% on key pages Warning
No consent management for data collection Info

Output

Short format (default):

## First-Party Data Audit
**Account:** [Name] | **Data sources:** [X] | **Activation gaps:** [Y]

### Critical ([Count])
- **Enhanced Conversions**: Not implemented -> Enable for +5-10% conversion capture
- **Customer Match**: Last refresh [X] days ago -> Automate weekly sync

### Warnings ([Count])
- **[Data source]**: Available but not activated -> Upload to Google Ads
- **Match rate**: [X]% on [list] -> Improve data quality

### Data Inventory
| Source | Records | Quality | Activated |
|--------|---------|---------|-----------|
| CRM | X | High/Med/Low | Yes/No |

### Recommendations
1. [Specific activation with expected impact]

Read the full file on GitHub · 84 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. 21d ago First seen · 84 lines · 31 tokens per session scan A 2fb26fd8a64c

Subscribe to this mod's changes

skill-156-first-party-data-collection-activation-strategy is a skill published in the GitHub repository TrueClicks/claude-plugins (2 stars, last pushed 22d ago), licensed MIT. It adds 31 tokens to every session and 654 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-08.

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