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A useful marketing cadence asks a different question at each interval. Weekly, you need to know what needs attention. Monthly, you need to see which patterns are emerging. Quarterly, you need to decide where to place your next bets.
Mix those questions together and a small dip in performance can trigger a strategy change, while a persistent problem gets dismissed as a bad week.
Keep one decision log alongside your reports. Record what you changed, why, and what you expected to happen. Give ChatGPT the relevant results and that log before each review. Its job is to help you compare evidence across time; yours is to check the data and make the call.
Weekly: spot changes that need action. Supply this week’s results, the previous few weeks, and any campaign changes.
Compare these weekly results with the recent baseline: [paste data]. We changed [paste changes]. Identify meaningful shifts, possible explanations, and what the data cannot tell us. Suggest up to three checks or actions for next week. Separate observations from hypotheses.
Monthly: find patterns worth investigating. Add your weekly decision log and the month’s results.
Review this month’s results and decisions: [paste]. Which trends persisted across weeks? Which actions appear to have helped, and where is the evidence too weak to tell? Recommend what to continue, adjust, or test next month, with the evidence needed for each choice.
Quarterly: revisit priorities. Add your goals, budget, constraints, and monthly reviews.
Assess this quarter against our goals: [paste context and reviews]. Identify the strongest evidence for changing or keeping our priorities. Propose up to three priorities for next quarter, the trade-offs each requires, and the assumptions we should test before committing.
If the quarterly recommendation cannot be traced back to evidence in the monthly reviews, challenge it before changing the plan.
Happy prompting!
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