dv360-advanced-analytics-adh

Analyze Display & Video 360 event-level data in BigQuery via Ads Data Hub.

1|Updated Jun 24, 2026
One-click install
npx skills add https://github.com/scumunna/programmatic-skills --skill dv360-advanced-analytics-adh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dv360-advanced-analytics-adh
Source: https://github.com/scumunna/programmatic-skills/tree/main/skills/dv360-advanced-analytics-adh
Command: npx skills add https://github.com/scumunna/programmatic-skills --skill dv360-advanced-analytics-adh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables privacy-safe, event-level analysis of Display & Video 360 data in BigQuery with Ads Data Hub, allowing users to run in-depth analytics without exposing user-level data.

Core Features & Use Cases

  • Event-Level Analytics: Perform de-duplicated reach analysis, custom attribution, incrementality, audience overlap, and segment-level ROAS using first-party data.
  • Ads Data Hub Integration: Query event-level Google advertising data joined with first-party data within BigQuery, without exposing user-level rows.
  • Privacy Compliance: Enforce privacy checks and aggregation requirements to ensure compliance with privacy regulations.
  • Use Case: If a user wants to analyze cross-device reach or custom attribution for a specific campaign, this skill can generate the required analysis using ADH without compromising privacy.

Quick Start

Use the dv360-advanced-analytics-adh skill to analyze the reach of campaign X using Ads Data Hub.

Frequently Asked Questions about dv360-advanced-analytics-adh

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

FAQPage Schema
How do I perform privacy-safe event-level analytics on DV360 campaign data?▼

Privacy-safe event-level analytics on DV360 data is performed by querying Display & Video 360 data in BigQuery via Ads Data Hub. This approach enables de-duplicated reach and custom attribution without exposing user-level rows.

Can I join first-party data with DV360 data in BigQuery to calculate segment-level ROAS?▼

Yes, you can join first-party data with DV360 data in BigQuery using Ads Data Hub. This integration allows you to calculate segment-level ROAS and perform audience overlap analysis while enforcing strict privacy aggregation requirements.

What is the best way to measure cross-device reach and incrementality for DV360 campaigns?▼

The best way to measure cross-device reach and incrementality for DV360 campaigns is using Ads Data Hub. It processes event-level Google advertising data within BigQuery to generate de-duplicated reach metrics and incrementality analysis without compromising user privacy.

Does Ads Data Hub enforce privacy checks when running custom attribution queries?▼

Yes, Ads Data Hub enforces privacy checks and aggregation requirements when running custom attribution queries. This ensures that all event-level DV360 data analysis remains compliant with privacy regulations by preventing the exposure of individual user rows.

When do I need Ads Data Hub instead of standard BigQuery for DV360 data analysis?▼

You need Ads Data Hub instead of standard BigQuery when analyzing event-level DV360 data that requires privacy-safe aggregation. It is necessary for de-duplicated reach, custom attribution, and incrementality analysis where exposing user-level rows violates privacy regulations.