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.