get_account_memory
Retrieve insights from your ad account's testing history to identify which creative choices are separating winners from losers in their own auctions, and how that edge holds or fades over time.
Instructions
What the user has tested in their OWN ad account, with receipts. Returns scopes (the auctions the account actually buys - objective + optimization goal + funnel stage), by_dimension allocation (spend and ad counts per creative dimension), and winners/losers where each ad is compared ONLY against the median CTR of its own auction, carried on scope_median_ctr. Rates are never comparable across auctions: on a live account two top-of-funnel auctions sit 41x apart on CTR from the optimization goal alone, so median_ctr is null and by_dimension[].avg_ctr is null wherever that value spans auctions. winners + losers equals judged_ads, not tested_ads - ads in an auction too thin to have a median appear in neither. Two horizons, and they answer different questions: craft_profile is a 90-day rolling snapshot - what separates the ads above their auction's median RIGHT NOW, and it can never say how long that has been true. craft_standing is the decay-weighted read across CLOSED weeks - held is what keeps separating, faded is what used to and stopped (which is the more useful half: it is how the account forgets last season on purpose). Never describe a craft_profile row as having held or worked for weeks - only craft_standing carries that, and only with weeks_separating of weeks_seen beside it. craft_standing is null until two weeks have closed; that is an honest silence, not an absence of craft. ⚠️ held means the choice keeps SEPARATING the two arms - not that it keeps working. Read latest_delta: a NEGATIVE delta means that craft choice is more common among the ads BELOW their auction's median. Always state the direction from the row's own counts, and never call a held row a thing that worked without checking its sign. Facts only, no predictions. Empty if Meta is not connected.
Input Schema
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