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Check whether PMax cannibalises Search campaigns

The PMax-vs-Search overlap read: search terms both sides, cost per conversion compared where they collide.

IntentWhether PMax buys queries Search already wins, and at what cost difference.

3
Steps
3
Tools
2
Rules
1
Failure modes

When to use it

Use it when

  • PMax and Search coexist at meaningful spend.

Do not use it when

  • No specific contraindication beyond the preconditions below.

What it needs first

Required

Preconditions

  • The account is ticked in the dashboard, confirmed via list_accounts.

Inputs

window
Analysis window.Default: last 30 days.

Procedure

In order. Every tool named is one the gateway ships, and links to its reference.

  1. Pull Search campaign terms.

  2. Pull PMax search-like activity via GAQL where exposed.

  3. Compare efficiency on colliding query families.

Decision rules

The observable condition, what it lets you conclude, and what takes the conclusion back.

  • When

    PMax converts colliding queries cheaper

    Conclude

    Let it: cannibalisation with better economics is routing, not waste.

  • When

    Search wins the collision on cost

    Conclude

    Negative or restructure so intent flows to the winner: quantify the arbitrage.

Evidence every conclusion must carry

  • Every figure carries its account, metric and window.
  • Anything below a readable sample size is reported as unjudged, not as zero.

Where the agent stops

  • The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.

How it goes wrong quietly

The cases where the analysis is wrong and still looks right. Read them before trusting a number.

  • PMax query visibility is partial: overlap findings are floors, and must say so.

What the answer contains

01Readout
The figures, with windows and accounts named.
02Flags
What deserves a deeper skill or a human decision.