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RecipeGoogle Ads

Forecast clicks and cost for a keyword list

Forecast metrics for a candidate list, read with their assumptions attached.

IntentWhat a keyword list would buy at a bid level, from Google's forecast.

2
Steps
1
Tools
1
Rules
1
Failure modes

When to use it

Use it when

  • Budgeting a new theme.
  • A client asks 'what would it cost to be on X'.

Do not use it when

  • Long-horizon promises: forecasts describe the current auction only.

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. Run the forecast on the list at intended bids.

  2. Present cost and clicks with the assumption set.

Decision rules

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

  • When

    The forecast is quoted to a client

    Conclude

    Attach the auction-stability caveat in the same sentence, not a footnote.

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.

  • Forecasts ignore your ad quality: real CPCs land differently once Quality Score exists.

What the answer contains

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