GTM Engineering

PMax Placement & Budget Distribution Breakdown

This playbook has been merged into 'The PMax De-Risking Framework' for a more comprehensive approach. See play_026.

Goal: Improve PMax budget efficiency through placement analysis

Complexity

Medium

Tools

Context

The Problem

You have little visibility into where your PMax budget is actually spent.

Resolution

The Solution

This content is now part of 'The PMax De-Risking Framework' (play_026), which includes placement breakdown alongside brand cannibalization detection and zombie asset identification.

Expected Metrics

15%

CVR through channel exclusions

-10%

Wasted spend

Tools & Tech

Google Ads Scripts

Sheets

Ask Mazorda AI

>_Pipe to your AImazorda.com/playbooks/pmax-placement-and-budget-distribution-breakdown.md

# in your repo, from a Claude Code session:$ curl -s "https://mazorda.com/playbooks/pmax-placement-and-budget-distribution-breakdown.md" | claude -p "Apply the Mazorda playbook \"PMax Placement & Budget Distribution Breakdown\" to my context."

→ Claude fetches the playbook, reads your context, and returns a tailored implementation plan.

Ccopy

Previous Next

Related Playbooks

GTM Engineering

RevOps

Autonomous GTM Experimentation

Built on the karpathy/autoresearch loop pattern, this playbook applies autonomous feedback loops to GTM assets — emails, ads, landing pages, nurture flows — tested against revenue-linked metrics. Replace manual A/B testing with agent-driven loops that compound ICP-specific learnings across channels.

AI-Powered Revenue Intelligence

Build a unified revenue intelligence system that merges billing, CRM, product analytics, and enrichment data into a single account-level view — with AI-powered ICP scoring, churn prediction, and expansion signals. Replace fragmented dashboards with one system that tells you which accounts to save, grow, and acquire.

Deep Product Data Integration with Paid Ads

Train ad platform algorithms to find retained users — not bouncers — by optimizing CAPI for Synthetic Conversion Events correlated with Day 7 retention. Composite signals triggered when users hit their 'Product Aha Moment,' not just signups. CAPI + Pixel recovers up to 19% more attributed conversions and reduces CPA by up to 13%.

High

4-6 weeks

View