Use Codex to turn Google Ad Manager forecast reporting into campaign decisions

Frame the forecast as a decision

A forecast report is useful only when it answers a campaign decision: can we sell this package, should we narrow targeting, or do we need more inventory?

In Google Ad Manager reporting, Future Sell-Through and inventory views help estimate capacity and pressure. Codex can prepare the MCP request, compare scenarios, and explain the trade-off without changing live trafficking objects.

• State the commercial question before selecting fields.
• Use stable dimensions such as date, ad unit, device category, country, and inventory size where available.
• Keep the forecast output separate from booking actions until a human confirms the scenario.

Give Codex a field checklist

Codex should not guess reporting fields from memory. Ask it to inspect the reporting dimensions and metrics reference first, then build the MCP request from valid names.

A strong prompt is: "Check the available reporting dimensions for Future Sell-Through, then build a forecast view by ad unit, date, and device category. Return available capacity, sell-through pressure, and the top constraints."

• Use get_report_dimensions to avoid invalid dimension names.
• Use get_report_metrics before adding capacity or sell-through metrics.
• Ask Codex to output the final field list before running an expensive report.

Compare scenarios instead of one static report

Forecasting becomes operational when Codex compares two or three scenarios: broad targeting, restricted country targeting, and a premium ad unit package, for example.

The result should be a table with capacity, risk level, and recommendation. If the signal is weak or the dimensions are too broad, Codex should say so rather than over-explaining noisy data.

• Compare scenarios on the same date range.
• Keep dimensions consistent so changes reflect the scenario, not the shape of the query.
• Archive the report ID and prompt so the forecast can be reproduced before booking.