By Exovara · Published
Start with reporting and proposed changes
An advertising assistant can collect performance information and prepare a change recommendation before it is allowed to alter a campaign. This gives the owner a useful first version without handing over open-ended spending authority. More frequent changes are not automatically better advertising.
Define the decision in writing
Record which campaign can change, the allowed action, the measurement window and who approves it. Include a maximum adjustment and an overall budget boundary. If tracking is incomplete or the sample is too small, the recommendation should say that the evidence is insufficient.
Keep a change record
Before any approved adjustment, save the original setting, proposed setting, reason and person authorizing it. Check for another rule making a conflicting change. Set a review point and a way to return to the earlier configuration if the result is unexpected.
Test within the existing account
Check current platform rules, available previews and user permissions. Do not assume a tool can safely control every account setting because it can read campaign reports. Start with a one-time approved action and verify the actual result.
Google recommends limits, previews and sufficient data before applying automated rules. Google Ads: automated rule safeguards
Measure business outcomes
Review qualified enquiries, attributable sales where measurable, spend and staff time. Lower management fees do not prove a lower customer acquisition cost. Include implementation, subscriptions, review effort and advertising spend when comparing an assisted process with your current arrangement.
Discuss an implementation
This guide applies across Canada. We provide remote AI consulting for businesses in Calgary; it does not describe a local client or a staffed office.
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Exovara field notes · Educational guidance. Examples are illustrative.
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