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Meta Ads Weekly Performance Review and Decision Rules

Table output Has example

• 📣 Meta Ads

Decide what to scale, fix or stop using pre-agreed rules.

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Create decision rules for weekly Meta ads reviews. Goal and acceptable cost per result: [GOAL_AND_TARGET]. Campaign data for the week: spend, reach, impressions, clicks, results by ad set and ad: [WEEKLY_DATA]. Thresholds: minimum results [MIN_RESULTS], minimum spend [MIN_SPEND], pause multiple [MULTIPLE].

Compute cost per result, click-through rate, frequency and result rate for each ad set and ad, with arithmetic. Write the rule set as a table with condition, action and reason, with thresholds as placeholders to set from my own economics: do not judge an ad before it has the minimum results or spend; pause ads with cost per result above the multiple of target after enough data; scale winners gradually; refresh creative when frequency rises and results fall. Worked example: an ad set spends 60 and gets 3 results, a cost per result of 20 against a target of 15; with so few results, keep running until at least 10 results or 150 spend. Decisions rest on pre-set thresholds, not hunches.

Warn about the learning period and changes that reset it [VERIFY]. Provide a change log (date, change, reason, expected effect) and a monthly review to adjust the rules. No outcome can be promised; confirm policies in the current policy centre [VERIFY].

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Invented week. Ad set A: spend 60, 3 results, cost per result 20.00, target 15. Ad set B: spend 150, 12 results, cost 12.50. Rule: judge an ad set only after at least 10 results or 150 spend. A has 3 results and 60 spend: keep running. B qualifies and beats target: raise the budget by 20 percent (to 180 a week) and review in a week. Frequency 1.8: fine. Change log: entry date, change, reason, expected effect. Decision summary: A kept, B budget raised by 20 percent (150 to 180 a week), review in seven days; thresholds are placeholders to be set from the business's own cost per result.

• meta-ads