Google Ads Reporting for Agencies: What to Track and How to Automate It

Every Google Ads report ends up asking some version of the same three questions: what did we spend, what did it get us, and is it trending better or worse than last month. The part that eats the afternoon isn't deciding what to report — it's the MCC-switching, filter-reapplying, CSV-exporting grind of actually pulling those numbers for every account before you can write a single sentence about them.

This is a breakdown of what a Google Ads report should actually contain, the reporting cadence that fits most agency accounts, and where the real time cost lives (hint: it's rarely the analysis).

What belongs in a Google Ads report

Strip out the vanity metrics and a Google Ads report for a client boils down to five things:

1. Spend and pacing. Total cost for the period, and whether it's tracking to budget — a client asking "are we going to run out of budget this month" wants this answered in one line, not buried in a table.
2. Efficiency: CTR and CPC. Click-through rate tells you if the ads themselves are working; average cost-per-click tells you what that attention is costing. Reported together, they separate a creative problem from a bidding problem.
3. Outcomes: conversions and conversion value. The number the client actually cares about. Everything above this is context for why this number moved.
4. Cost per conversion, trended. The single metric most likely to trigger a "why" question from a client — and the one worth trending period-over-period rather than reporting as a flat snapshot.
5. A campaign-level breakdown. Aggregate account numbers hide which campaigns are carrying the account and which are quietly burning budget. Even a simple sort-by-cost-per-conversion table answers "where should we shift budget" faster than a paragraph of prose.

Device and ad-group breakdowns matter for account-level optimization, but they're usually noise in a client-facing report — save them for the internal review, not the recap.

Why this takes longer than it should

The reporting mechanics themselves aren't hard. What makes Google Ads reporting slow for anyone managing more than a couple of accounts is the account-switching: every client sits under a different MCC (or a different login entirely), and a 15-client book means 15 separate logins, 15 re-applied date-range filters, and 15 CSV exports before you can compare anything side by side. None of that time produces insight — it's pure retrieval overhead standing between the data and the report.

That overhead compounds with cadence. A weekly Slack recap for 15 clients at even ten minutes of pulling per account is two and a half hours a week spent before any actual analysis starts — time that scales linearly with the client list, not with how interesting any given account's performance actually is.

How often to actually report

Cadence should track how fast the account moves, not habit. A few starting points that hold up across most agency books:

• Weekly, internal. A quick spend/conversion/cost-per-conversion check for every active account — not client-facing, just enough to catch a budget that's about to blow through or a campaign that quietly stopped converting. This is the pull that's most worth automating, since it's the one that repeats every single week regardless of whether anything changed.
• Monthly, client-facing. The recap most clients actually expect: the five metrics above, the campaign table, and the narrative paragraph. Enough data to show a real trend without the noise of week-to-week fluctuation in a smaller account.
• Quarterly, strategic. A QBR-style review that zooms out past individual campaigns to budget allocation across the account, and whether the account's overall structure still matches what the client is trying to achieve. This is the one report that's genuinely worth a human afternoon — it's judgment-heavy in a way a template can't replace.

The mistake is treating all three as the same report at different frequencies. A quarterly review copy-pasted into a weekly cadence is either too shallow to be useful or too much to actually read every week — match the depth to the decision the report needs to support.

Google Ads report template (the short version)

If you're building this by hand — a spreadsheet, a slide, or a Looker Studio page — the minimum viable structure:

• Header line: total spend, total conversions, cost per conversion, each with the period-over-period delta.
• Trend chart: spend and conversions over the last 4–8 weeks, so a client can see direction without asking.
• Campaign table: campaign name, spend, conversions, cost per conversion, sorted by spend or by cost-per-conversion depending on what the client cares about that month.
• One paragraph of narrative: what moved, a plausible reason why, and what (if anything) is changing next period. This is the part a dashboard link never does on its own — someone still has to look at the numbers and say what they mean.

That structure works whether you're filling it in manually every week or asking a live connector for the same numbers on demand.

Automating the pull without losing the narrative

A dashboard tool solves the retrieval half of this — connect the account once, the numbers refresh automatically, no more manual exports. What it doesn't solve is the interpretation: someone still has to open the dashboard, notice what moved, and write the sentence that turns a number into an answer. A live-query approach skips a step further — instead of building a dashboard and then separately explaining it, you ask the question and get the pulled-and-explained answer back together.

ARLO's Google Ads connector works this way: connect Google once via OAuth, assign each client's Google Ads account — including sub-accounts under an MCC — and ask Claude directly. No GAQL to write, no MCC to switch into first.

• "What was total spend and conversions for [Client]'s Google Ads account last week?"
• "Which campaigns have the highest cost per conversion this month?"
• "How does this month's spend compare to last month across all my clients?"
• "Break down conversion value by campaign for [Client] over the last 30 days."

Each query pulls impressions, clicks, CTR, average CPC, cost, conversions, and conversion value at the campaign and ad-group level, live from the Google Ads API — nothing warehoused, nothing cached from a nightly sync. Today's connector doesn't cover Quality Score or search-term reports; those are on the roadmap, not silently missing.

Since the same Google OAuth grant also covers GA4, Search Console, YouTube, and Business Profile, a Google Ads question and a "how does that compare to organic traffic this month" follow-up use the same connection — no second login, no second export to reconcile against the first.

ARLO is free during early access — unlimited clients, sources, and team seats, no card required.

FAQ

Do I need to know Google Ads Query Language (GAQL) to use this? No. You ask in plain English and ARLO translates the request into the correct Google Ads API query.

Does this replace a client-facing dashboard? Not necessarily — if a client contractually expects a branded portal, a dashboard tool still fits that need. Live querying is strongest for the ad hoc question and the internal weekly pull that a scheduled dashboard refresh doesn't answer on its own.

Can I report on accounts under different MCCs from one place? Yes. Assign each client's account — including sub-accounts nested under an MCC — from a searchable dropdown, and Claude can query any assigned account without switching contexts.

Is the data delayed or cached? No. Every query fetches live from the Google Ads API for that one response; there's no separate warehouse or sync job introducing lag between what Claude reports and what you'd see logged into Google Ads directly.

What if my report needs Quality Score or search-term data? Not supported today — ARLO's Google Ads connector currently covers spend, clicks, CTR, CPC, and conversions at the campaign and ad-group level. Quality Score and search-term reporting are on the roadmap, not available yet.