data-export-formats

Standardizes CSV export formats for Google Ads and Meta platforms.

1|Updated Dec 11, 2025
One-click install
npx skills add https://github.com/FunnelEnvy/agents_webinar_demos --skill data-export-formats
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-export-formats
Source: https://github.com/FunnelEnvy/agents_webinar_demos/tree/main/.claude/skills/data-export-formats
Command: npx skills add https://github.com/FunnelEnvy/agents_webinar_demos --skill data-export-formats

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill standardizes the exact CSV export formats required by major ad platforms (Google Ads, Meta) and aligns project data schemas, reducing onboarding errors and manual reformatting.

Core Features & Use Cases

  • Defined CSV formats: Covers Enhanced Conversions, Customer Match, and project data schemas with required columns and hashing rules.
  • Platform-ready templates: Provides ready-to-use CSV templates for Google Ads and Meta, ensuring correct field ordering and encoding.
  • Use Case: A marketer exports a weekly customer list and event data to produce compliant feeds for offline conversion imports.

Quick Start

Create a compliant CSV export for Enhanced Conversions and Customer Match, including required columns, hashing rules, and sample data.

Frequently Asked Questions about data-export-formats

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I format CSV exports for Google Ads Enhanced Conversions?

To format CSV exports for Google Ads Enhanced Conversions, you must include specific required columns and apply strict hashing rules to user data. This skill enforces those formatting constraints to produce compliant, platform-ready data feeds.

What CSV template is needed for Meta Customer Match audiences?

The CSV template for Meta Customer Match requires exact field ordering and encoding to align with platform data schemas. This skill provides ready-to-use templates that enforce required columns and hashing constraints for ad-ready outputs.

When do I need to apply hashing rules to marketing analytics data for ad platforms?

You need to apply hashing rules to marketing analytics data when onboarding customer lists or offline conversion data into Google Ads and Meta. This ensures standardized, compliant inputs for ad platforms requiring specific data schemas.

Can I use this approach to standardize data schemas for both Google Ads and Meta?

Yes, you can standardize data schemas for both Google Ads and Meta using defined CSV export formats. This skill covers Enhanced Conversions and Customer Match, enforcing required columns and formatting constraints to reduce manual reformatting.

What's the best way to prevent onboarding errors when exporting offline conversion data?

The best way to prevent onboarding errors is to use standardized CSV export formats with enforced field ordering, encoding, and hashing rules. This ensures your offline conversion imports match the exact requirements of major ad platforms.

Why are my CSV feeds being rejected by ad platforms during data onboarding?

CSV feeds are often rejected during data onboarding due to misaligned columns, incorrect encoding, or missing hashed values. This skill defines exact export formats to enforce compliant data schemas and prevent manual formatting errors.