Your first advertising review with AI starts with one question

A useful first question for your AI is often short: “Why did the cost per lead increase this week?” It has a subject, a time frame and a clear next step. “Audit everything” tends to leave those conditions undefined.

Give the task boundaries

Choose a business and date range before starting. Specify what matters: a purchase, a qualified lead or another action. When comparing weeks, check that both are complete and that the reports cover every required day.

Keep currencies separate. Do not add conversions from different systems. If sources define results differently, ask the AI to explain that difference first.

Ask for the evidence

A useful answer lets you find the underlying number. Ask for the source, period, metric and data limitations. “The campaign performs poorly” needs clarification: which metric changed, and compared with what?

Review the selected business for the last seven completed days. Identify three changes supported by the reports. For each, show the numbers, a possible explanation and the first check. Do not substitute a conclusion for missing detail.

Pick one check

Suppose the cost per click increased. Search terms, devices and a changed traffic mix may be worth investigating. That is not yet a reason to pause a campaign. First establish which evidence supports the explanation.

Keep a proposed idea separate from a measured result. In AdHatch, you can return to a saved decision or hypothesis. Supported advertising changes require a separate review and confirmation in the workspace.

Keep three things from the review

• One established fact.
• One unanswered question.
• One next action with a clear success criterion.

This turns the conversation into a working process: from a number to a check, rather than from one general suggestion to another.