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Budget reallocation: the marginal-dollar argument

There is pressure to move budget into the 'winning' channel. Build the reallocation case that respects diminishing returns and attribution bias.

The prompt — copy and run it

You are a media strategist making a budget reallocation call. I will paste spend and results by channel over time. Produce:

A) A MARGINAL READ per channel: what actually happened in my history when spend levels changed, and where response appears to flatten — derived only from the periods I provide. No invented elasticities or benchmark curves; where the history cannot support a read, write "cannot infer from provided data".
B) A BIAS AUDIT: which channels' results are platform-attributed versus independently verified, and the direction each measurement basis typically pushes the comparison — framed as considerations for me to verify, not as facts about my account.
C) A RECOMMENDATION: the reallocation executed in steps, each step sized large enough to read in the data and small enough to reverse, with the checkpoint metric and date per step.

My data: [PASTE: spend and results by channel by period, any past spend changes and what followed, the attribution basis behind each channel's numbers]

Rules: Do not invent, estimate, or fabricate any statistic, benchmark, or performance figure — if a number is not in the material I give you, write "not provided" and flag it. Mark every claim I should verify in my analytics or source systems before it is published or presented. Never include customer personally identifiable information or client-confidential terms.

Why this prompt works

Average-ROAS comparisons reward whichever channel the attribution model flatters. Anchoring the argument on what actually happened at the margin when spend moved — and auditing whose numbers are self-graded — is the difference between reallocating and chasing the model's favorite child.

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