A Monthly Google Ads Review Routine for Marketers

#01What is the 60-minute routine?

#02How do you handle recommendations?

Optimisation score estimates how well the account is set to perform, from 0 to 100%. It is a to-do list, not a goal. Check Recommendations → Auto-apply at account level monthly and keep off anything that changes keywords, match types or budgets without review. Google stopped auto-applying the "Add responsive search ads" recommendation from 26 January 2026, so check if any old settings now behave differently.

#03What goes in the report?

Keep it to one page:

• Spend, conversions and cost per conversion against plan.
• Primary conversion quality (pipeline or value, if imported).
• Top three search term findings and negatives added.
• Performance Max and Demand Gen channel notes.
• One experiment result and one decision.
• Paid and organic AI visibility as separate lines (lesson 16; see the monthly AI visibility report template).

For analysis help, export the campaign and search terms data and use Claude for CSV analysis of GA4 and Ads data.

Our view: consistency beats cleverness. The same checklist every month catches tracking breaks, wasted spend and drift long before they become a quarter's worth of bad data.

#04What does the routine cover?

#05How do you run it, step by step?

1. Block 2 hours on the first working day of the month.
2. Work through the table in order: conversions first, because everything else depends on them.
3. Record each finding and action in a change log.
4. Agree changes with the team, then make them in one batch.
5. Write a one-page summary: what changed, why, what to watch.

#06Troubleshooting

#07Practitioner hacks for the monthly review

• Use the same template every month, so findings are comparable.
• Start with what changed outside the account: site releases, pricing, seasonality, consent banner changes.
• Keep the change log next to the review notes.
• Limit the number of changes per review so you can tell what worked.
• End with three priorities for next month.

#08What does a one-page summary contain?

#09Questions to ask at the end of each review

1. Did conversions track correctly all month?
2. What was the biggest source of waste?
3. What was the biggest opportunity?
4. Which tests are running, and when do they end?
5. What will we change, and what will we leave alone?

#10What edge cases come up?

• Short months and holidays change volume; compare with the same period last year where you can.
• Tracking incidents need a data exclusion (lesson 11) and a note in the summary.
• Big launches may need a separate mid-month review.

#11How does this connect to other reporting?

Add a short AI visibility section using Monthly AI visibility report template, and for GA4 see GA4 for AI Search: A Monthly Measurement Routine.

#12A 30-minute audit for this lesson

1. Create the review template.
2. Book the first review.
3. Assign owners.
4. Set up the change log.
5. Schedule the n-gram script weekly.

#13Key terms

#14Common scenarios and fixes

The review always runs late. Diagnosis: No fixed slot. Fix: Book it as a recurring event on the first working day.

Same issues every month. Diagnosis: Actions lack owners. Fix: Assign owner and date to each action.

Results swing after reviews. Diagnosis: Too many changes at once. Fix: Limit changes per review and log them.

#15How do you keep the routine useful over time?

A monthly review is only useful if it changes something. The common failure is a long document that nobody acts on. Keep the summary to one page, with no more than five findings and an owner and date for each action.

Review the routine itself each quarter. Drop checks that never find anything and add ones that would have caught recent problems. If a tracking break went unnoticed for two weeks, a weekly tag check belongs in the routine. If budget issues keep appearing, add a mid-month pacing check.

Share the summary with the people who make decisions, and keep the history. After six months you will have a record of what changed, why and what happened, which is far more useful than any single month's numbers. It also makes onboarding a new team member or agency much faster.

#16What does a good change log entry look like?

Each entry needs the date, the account and campaign, what changed, why, who made the change and what you expect to happen. For example: "4 November, non-brand Search, target CPA lowered by a small step because cost per opportunity is below plan; owner: paid lead; expect slightly lower volume." When results move, you can check the log first. Keep it in a shared document or sheet that everyone on the account can read, and review it as part of the monthly routine.

#17Worked example: Ledgerline's monthly review

Ledgerline is a fictional accounts-payable software company. Details and numbers are illustrative.

Ledgerline's marketing lead runs the review on the first Monday of each month. In one review, conversion diagnostics showed the offline import had failed for nine days, so the team fixed it and set a data exclusion before checking anything else. The report that month explained the dip instead of reacting to it.

Walkthrough: Ledgerline's November review

1. Conversions: no duplicates; the CRM upload ran on schedule.
2. Search terms: added six negatives from the script output.
3. Ads: replaced two low-serving headlines.
4. Budgets: the non-brand campaign was limited by budget; moved budget from Demand Gen.
5. Wrote the one-page summary with owners and dates.

#18Try it yourself

1. Copy the table into your own document.
2. Book the review for the first working day of next month.
3. Pick an owner for each area.

#19Quick quiz

1. Which area do you check first?

Answer: Conversions, because everything else depends on them.

2. Why batch changes?

Answer: So you can tell which change caused a result.

3. Where do findings go?

Answer: In a change log, with an owner and a date.

#20What should you check before the next lesson?

• Book a recurring 60-minute monthly review.
• Copy the routine table into your team's checklist.
• Check auto-apply settings now.
• Start a change log.

Back to the Google Ads for Marketers hub.

#21Common questions

How often should I review Google Ads? Weekly for search terms and spend, and a deeper monthly review of conversion health, campaigns, recommendations and tests.

Should I follow optimisation score recommendations? Review them one by one. Optimisation score estimates how well the account is set up, but accepting recommendations doesn't guarantee better results.

Is auto-apply safe? Review the auto-apply settings at account level and keep off any type that changes targeting or spend without your review.