AI Reporting Automation

Google Ads Report Automation

Google Ads reporting looks like a solved problem until you automate it. Then you meet conversion lag, which quietly changes yesterday's numbers for days afterwards and makes your Monday report disagree with the platform by Thursday.

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Conversion lag, and why it matters more here than anywhere

Google Ads attributes a conversion to the click that led to it, not to the day the conversion happened. Someone clicks on Monday and converts on Thursday, and Monday's conversion count increases on Thursday. Your campaign figures for any recent period therefore continue to change after that period ends, and for some accounts — considered purchases, long sales cycles — they keep changing for weeks.

Automate a report without accounting for this and you create a specific, credibility-damaging problem: your report says a campaign produced eleven conversions, the client checks the platform five days later and sees nineteen, and concludes your reporting is unreliable. The data was never wrong; it was incomplete in a way the report did not disclose.

There are two honest handlings and we would use either. Report on a period old enough to have settled, which for most accounts means ending the window several days back. Or state the data-as-at timestamp prominently on the report and expect figures to rise. For accounts with long conversion windows we would also show the figure as at the time of the previous report alongside the current one, so the restatement is visible rather than confusing.

The same applies to any metric derived from conversions — cost per acquisition, conversion rate, return on ad spend — so a report that gets this wrong gets most of its headline figures wrong.

What we automate

Multi-account reporting

Through a manager account, so one connection covers every client or every brand rather than a separate authorisation each.

Performance by the dimension you care about

Campaign, ad group, keyword, asset group, geography, device, audience — whichever your decisions are actually made on.

Spend pacing

Projected month-end spend against budget, with an alert when an account is tracking to overspend or underspend. Usually the most immediately valuable thing in the whole report.

Search terms and waste

What people actually searched, and spend against terms that are not converting. The report that most often pays for itself.

Performance Max insight

As much as the platform exposes, which is less than for standard campaigns. We report what is available rather than implying visibility that does not exist.

Change tracking

What was changed in the account and when, correlated with performance shifts — the answer to "why did this move".

Combined with real outcomes

Joined to your CRM so reporting shows qualified leads and revenue rather than platform conversions, which are a proxy.

Built properly

  • Google Ads API with a developer token, rather than scraping the interface or depending on scheduled email exports.
  • Every figure computed in code; narrative written around verified numbers, never generating them.
  • Validation before sending: full period coverage, components summing to totals, implausible movements flagged. A failed check holds the report and names the cause.
  • Report held rather than sent if the API returns an incomplete period — a client report showing zero spend because a request failed is worse than a late report.
  • Data stored so period-on-period comparisons use what was actually reported at the time, which also makes restatement visible.
  • Your own branding on everything, with no reference to us, for agencies sending to clients.

Common questions

Tell us what you need

Describe the problem and we will come back with scope, timeline, and a rate. No obligation to proceed.

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