How to Create a Google Ads Report with AI: 7 Easy Steps

The platform will hand you the numbers. It will not tell your client why spend rose 18% and conversions did not.

That gap is the actual work. Exporting takes ninety seconds; explaining takes the afternoon, and it is the part that gets cut when three accounts are due the same morning.

This guide starts where the export ends. Seven steps take you from a downloaded file to a Google Ads report someone outside the account can read.

What the report has to answer

Before touching data, be clear about which of three documents you are writing. They need different numbers.

A performance update answers "what happened last month." Spend, results, efficiency, and the direction of each.

A diagnostic answers "why did this move." Fewer metrics, more segmentation, and at least one hypothesis per movement.

A budget case answers "what should we spend next." Historical efficiency at different spend levels, plus a stated constraint.

Most weekly reports try to be all three and succeed at none. Pick one, and let the other two live in an appendix or a follow-up.

Where the data comes from

Google's official help documentation describes the structure you are pulling from: "Your Google Ads account is organized into 3 levels: account, campaigns, and ad groups."

Those levels decide the grain of your export. The documentation notes that you can "customize your view of Google Ads performance data so that it's as broad or specific as you'd like." From those views, it adds, "you can know which ad groups, campaigns, and keywords perform the best."

For the export itself, the documented path is short. You "Click the download button above the table," then "Select your download type from the dropdown menu."

The available formats are listed explicitly: "Excel .csv, .csv, .tsv, .pdf, .xlsx, .xml, or Google Sheets." You can also choose "to open your report in the Report Editor, or to email or schedule an email of your report."

There is one option worth knowing before you download, since it saves a second pass. The documentation notes that "More options" will "allow you to add segments, compress file sizes, and include additional data in your report."

Inside the platform, the Report Editor is documented as "an analytical tool that allows you to engage with your data through multi-dimensional tables and charts." The documentation credits it with drag-and-drop building, multi-segment analysis, custom charts, and advanced filtering.

It is genuinely good at slicing. What no tool produces on its own is the paragraph explaining the slice to somebody who was not in the account. That paragraph is what turns an export into a Google Ads report.

Which metrics belong in it

A readable Google Ads report carries fewer metrics than the export contains. Five or six, grouped.

Group	Metrics	Question it answers
Volume	Impressions, clicks	Did we reach more people?
Cost	Spend, average CPC	What did it cost?
Outcome	Conversions, conversion value	Did it work?
Efficiency	CPA, ROAS	Was it worth it?
Quality	CTR, conversion rate	Where in the funnel did it change?

Every one of those needs a comparison point. Spend of $18,400 means nothing; spend of $18,400 against $15,600 last month and a $20,000 cap means three things at once.

Resist adding impression share, quality score, and search term detail to the main report. They are diagnostic metrics — excellent when you already know what you are investigating, noise when you do not.

Building it from the export

The sequence below takes the downloaded file and produces the finished document.

Step 1: Export from the platform and upload the file

Download at the grain your report needs. Campaign level suits a performance update; ad group level suits a diagnostic. Then open Powerdrill Bloom and upload the file.

Prefer .xlsx or .csv over .pdf. The PDF option is fine for archiving and awkward for anything that needs recalculating.

If the account runs several campaign types, export them together rather than separately. One file with a campaign type column beats four files that have to be reconciled.

Step 2: State the comparison window and the audience

Say which period you are reporting and what it should be compared against: prior period, same period last year, or plan. Each produces a different story from identical data, and picking one is an editorial decision you should make deliberately.

Name the reader in the same breath. A Google Ads report for an in-house performance lead can use CPA and ROAS unglossed. One for a founder or a client contact needs the plain-language version alongside.

State the budget or target if one exists. Numbers without a target are description; numbers against a target are a report.

Step 3: Generate the first pass with totals, movements, and a chart

Ask for the headline totals for both periods and the percentage change on each. Add a single chart showing the trend for the metric that matters most.

Request the movements ranked by absolute impact rather than by percentage. A campaign that swung 400% on a $90 base is a distraction. One that swung 12% on $40,000 is the report.

Keep the output to one screen at this stage. If the first pass already runs three pages, the metric list is too long.

Step 4: Check the definitions against the account

This is the step that prevents the embarrassing correction later.

Confirm what counts as a conversion in this account, whether the figures are conversion-lag adjusted, and whether any campaign changed its conversion action mid-period. A conversion definition that changed on the 14th makes the month-over-month comparison meaningless, and nothing in the export will warn you.

Check the date range boundaries too. Platform reporting on a partial final day is a common source of a "sudden drop" that resolves itself the next morning.

Step 5: Explain the three biggest movements

For each of the top movements, ask for the segmentation that would explain it. Device, campaign, match type, and geography are the usual four. Then write one sentence of cause.

Hedge honestly where the data does not settle it. "Spend rose because the Brand campaign lifted its cap on the 9th" is a cause. "Conversions fell, likely tracking the site outage on the 21st" is a hypothesis, and labelling it as one costs you nothing.

Three explanations is the right number. One looks thin, and five means you are narrating noise.

Step 6: Add the budget and pacing lines

Pull month-to-date spend against the monthly budget, and project the run rate to period end.

Pacing is the line clients read first and analysts remember last. Under-pacing at 60% with a week left is a conversation that has to happen in the report, not in the follow-up email.

If several campaigns share a budget, show the split. Aggregate pacing hides the campaign that consumed everything.

Step 7: Assemble, check the totals, and export

Request the finished document: headline summary, the metric table with comparisons, the chart, the three explanations, and the pacing lines.

Then check the arithmetic. Campaign-level spend should sum to the account total, and conversions should reconcile the same way. Reports that get challenged usually get challenged here first.

Export it, and keep the source file attached so any figure can be traced back when asked.

Three accounts due the same morning? Try Powerdrill Bloom.

What to write in the commentary

The numbers are the easy half. The sentences around them are what the reader is paying for, and there are three of them worth writing every time.

What changed. One sentence, stated as a movement with its magnitude. Not "performance was mixed."

Why it changed. The cause if you know it, the hypothesis if you do not, and the honest "unclear" if neither applies. An unexplained movement flagged as unexplained is more credible than a confident guess.

What happens next. The action, the owner, and the date. A report that ends without one of these is a newsletter.

Keep each under twenty-five words. Commentary that runs long gets skimmed, and skimming is where the important sentence gets lost.

How this differs from an attribution report

Two adjacent documents get confused constantly, and building the wrong one wastes a cycle.

A single-platform report asks how this account performed: these campaigns, this spend, this efficiency, this period. Everything in it comes from one source and reconciles internally.

An attribution report asks which channels deserve credit for conversions that involved several touchpoints. It spans platforms, depends on a model, and will not reconcile with any single platform's own numbers — by design. The walkthrough on building a marketing attribution report covers that job.

There is a third neighbour worth naming. A channel ROAS report compares return across channels on one metric. This one covers many metrics inside one channel. Same family, different axis.

When a client asks "is Google working," they are usually asking the attribution question while pointing at the single-platform document. Saying so explicitly in the report saves a long email.

Reporting cadence

Weekly, monthly, and quarterly reports should not be the same document at three lengths.

Weekly is operational: pacing, anomalies, and anything that needs a decision before the next one. Short, and it can be ugly.

Monthly is the performance update described above. This is the one that gets forwarded, so it earns the formatting.

Quarterly should be mostly trend and strategy, with the month-by-month table as an appendix. If your quarterly report is three monthlies stapled together, nobody is reading past page two.

Automating the weekly is usually the highest-value thing you can do here, because it is the one with the worst effort-to-attention ratio. The guide on automating data reporting from Excel covers the mechanics, and there is a related roundup of tools for web analytics reporting.

Sending it to a client

The document is half the job. How it arrives decides whether it gets read.

Put the summary in the email body. Three sentences: what happened, why, and what you need. The attachment is for the people who want the detail, and most recipients are not those people.

Send it on a fixed day. A Google Ads report that arrives on a predictable schedule gets a slot in someone's week. One that arrives whenever it is finished gets read whenever there is time, which is never.

Keep the format stable. Same sections, same order, same metric names every period. Clients learn where to look, and a changed layout costs them the attention you wanted for the findings.

Name the open questions. If something is unexplained, say so in the email rather than burying it. Flagging an anomaly you have not solved builds more trust than quietly omitting it.

Archive the source file. When a number gets challenged three weeks later, the export you used is the only thing that settles it.

One habit worth adopting for agencies. Keep a one-line changelog of account changes at the bottom — budget shifts, new campaigns, tracking updates. Half of next month's questions get answered there before they are asked.

Common mistakes

Reporting percentage change on small bases. A 300% rise on nine conversions is noise wearing a suit.

No comparison period. Absolute numbers with nothing to compare against are a data dump.

Too many metrics. Twenty columns means the reader picks their own story, and it will not be yours.

Ignoring conversion lag. Recent days under-report, and a report written on the 1st will understate the last week of the month.

Silent definition changes. A changed conversion action mid-period invalidates the comparison and nothing flags it.

Explaining everything. Three movements explained well beats twelve narrated.

No action. A report that does not end in a decision or a recommendation is an archive entry.

Frequently asked questions

How do I download a Google Ads report?

Format the data on the Campaigns or Ad groups page, click the download button above the table, then select a type from the dropdown. Google's documentation lists Excel .csv, .csv, .tsv, .pdf, .xlsx, .xml, and Google Sheets. It also lets you open the report in the Report Editor, or email and schedule it.

What should a Google Ads report include?

Five or six metrics grouped into volume, cost, outcome, efficiency, and quality, each with a comparison point. Add a chart for the metric that matters most, three explained movements, and pacing against budget. Close with an action, an owner, and a date.

How do I export data at campaign versus ad group level?

Google's documentation describes the account as three levels: account, campaigns, and ad groups. It lets you customize the view to be as broad or specific as you like. Download from the page matching the grain you need, and use "More options" to add segments before exporting.

How often should I send one?

Weekly for operational pacing and anomalies, and monthly for the performance update that gets forwarded. Quarterly should cover trend and strategy, with the monthly detail moved to an appendix. Keeping them structurally different is what stops the quarterly from being ignored.

Why don't my totals match the platform?

Usually one of three things. A partial final day in the date range, conversion lag still filling in recent days, or a filter left applied on the export. Check the date boundaries first, then reconcile campaign-level rows against the account total.

Source: Google Ads Help, "Account, campaign, and ad group performance," support.google.com, as of September 18, 2026.