Prompt Almanac

Audit intermediate Works with: Any AI

Google Ads Budget Pacing and Impression Share Audit

Table output Has example

Check whether budgets limit the campaigns that matter.

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Audit budget use. For each campaign for the last 30 days: daily budget, spend, impressions, impression share, share lost to budget and to rank, conversions and cost per conversion: [CAMPAIGN_PERFORMANCE]. Business priorities: [PRIORITIES]. Total monthly budget: [TOTAL_BUDGET].

Verify conversion tracking first and do not move budget towards campaigns whose tracking is unreliable. Then calculate each campaign's share of total spend, cost per conversion, and the opportunity lost to budget (an impression share lost to budget of 30 percent suggests demand not served at the current limit). Compare spend share with conversion share: a campaign using 40 percent of spend and producing 25 percent of conversions needs a closer look. List campaigns where the problem is rank (ads or bids), not budget. Explain that shared budgets and automated bidding change how spend moves [VERIFY].

Return a table with Campaign, Spend share, Conversion share, Lost to budget, Lost to rank and Action, and recommend reallocation in steps of no more than 20 percent at a time with a check a week later. Treat every cost, rate and volume as an assumption to test, because results differ by market and offer [VERIFY].

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

See an example result (fictional data)
Invented table. Campaign Brand: spend 400 (40 percent of 1,000), conversions 15 (25 percent of 60), lost to budget 5 percent. Campaign Services: spend 450 (45 percent), conversions 36 (60 percent), lost to budget 30 percent. Campaign Generic: spend 150 (15 percent), conversions 9 (15 percent).
Reading: Services produces more conversions than its spend share and loses 30 percent of impressions to budget. Move 100 (a 25 percent cut from Brand, with a check) to Services and compare after a week.

Illustrative only, made-up data. Your results will differ and must be reviewed.

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