Most Google Ads reports fail before they are opened. They arrive as a flat CSV export or a screenshot of the Campaigns tab: a wall of numbers with no hierarchy, no context, and no answer to the client's question: is this working?
A client-ready report starts with business outcomes and drills down only as far as it needs to explain them. This guide shows how to build it and what to leave out.
The metrics clients care about vs. the ones that confuse them
Clients care about three things: what was spent, what was achieved, and whether the return was worth it. Clicks, impressions, and CTR are means to an end, useful internally but rarely the headline.
Metrics to lead with: Cost, Conversions, Cost per conversion (CPA), Conversion value, Return on ad spend (ROAS), and Revenue or leads generated. These connect directly to business outcomes.
Metrics to contextualise, not headline: Clicks and CTR (for diagnosing creative, not measuring success), Impression share (a competitive benchmark that needs explanation), Quality Score (an internal Google lever: clients often read a low score as "my ads are bad"), and Search lost IS (budget) and (rank) (legitimate diagnostics, but easily misread as blame-shifting).
A useful frame: If a metric answers "how are we doing?" it belongs in the client-facing view. If it answers "why is that happening?" it belongs in the appendix or the agency's working file.
The drill-down structure: campaigns, ad groups, keywords
Your report should follow the way the account is built. Campaigns set the budget and targeting. Ad groups (or asset groups in Performance Max) organise creative themes within it. Keywords decide which searches trigger the ads.
Not every client needs every layer. A business owner checking in monthly needs the campaign view. A marketing manager optimising weekly needs ad group detail. A technical lead troubleshooting keyword strategy needs keyword and search terms data. Match depth to the audience, not to how much data you can fit.
How to handle Performance Max
Performance Max has no traditional ad groups or keyword targeting, which creates a reporting gap. PMax reports at campaign level by default, and Google surfaces asset group performance only within the Ads interface. In client reports, treat PMax as a campaign-level story: spend, conversions, CPA, and conversion value. If you run both PMax and standard Search, show them side by side but label PMax clearly, or clients used to keyword-level transparency will assume something is being hidden.
Where PMax performs well, use the insights panel data (search categories, audience signals) as a narrative layer: "PMax generated X conversions through a mix of search, display, and YouTube placements, primarily reaching users searching in these categories." That gives context without pretending to keyword-level control you do not have.
Search terms vs. keywords: the distinction clients miss
Keywords are what you bid on. Search terms are what people typed. Mixing the two up is one of the most common gaps in client reports.
A keyword like running shoes (broad match) can trigger searches for "best trail running shoes under $100," "Nike running shoe review," or "how to clean running shoes": very different intents, and potentially very different conversion rates. The search terms report shows which of these searches actually happened, so it is the best place to find wasted spend and missed negatives.
Include a search terms summary when spend is material or performance is off-target. Flag the top ten terms by spend, highlight any clearly irrelevant ones, and show the negatives already applied. It shows the client that someone is managing the account, doing work they could not do themselves.
"Build the report around what the campaign achieved for the money, with spend as the context."
Report structure matrix: what to show at each level
Use this as a starting template. Choose the rows that fit your audience and reporting frequency.
| Report type | What to show | What to hide / contextualise separately | Best for |
|---|---|---|---|
| Executive summary | Spend, conversions, CPA or ROAS, month-over-month trend, one line of context | Channel breakdown, keywords, impression share, Quality Score | Business owners, boards, monthly check-ins |
| Campaign-level | Campaign, spend, conversions, CPA/ROAS, conversion value, status | Impression share (note separately if budget-limited), Quality Score averages | Marketing managers, budget and strategy reviews |
| Ad group / asset group | Ad group name, spend, clicks, CTR, conversions, CPA, top ad or asset group signal | Ad variants, per-keyword Quality Score, bid history | Campaign managers, creative tests, mid-flight optimisation |
| Keyword detail | Keyword, match type, spend, clicks, conversions, CPA, search impression share if relevant | Quality Score components (landing page exp., expected CTR, ad relevance: footnote only), bid history | PPC specialists, keyword strategy, audits |
| Search terms report | Top terms by spend, conversion rate by term, irrelevant terms flagged, negatives applied | Zero-spend long tail terms, reporting metadata | Monthly optimisation updates, spend-efficiency questions, new account audits |
Tabs vs. separate pages
For live shared reports, tabs in one document work when the audience is consistent, such as a single marketing manager who reviews all layers. Use separate pages or documents when sections go to different audiences (an executive summary to the CEO, a keyword report to the in-house PPC specialist).
The rule: if you would be embarrassed for a client to open the wrong tab, use separate documents. Keyword bid data, competitor spend estimates, and internal notes about account issues should never live in the same view as the executive summary.
Client-readiness checklist
Before sharing any Ads report, check:
- Date range is labelled and matches what was agreed (calendar month, custom range, etc.)
- Cost figures say whether they include tax (GST/VAT note if relevant to your market)
- Conversion attribution model is stated (data-driven, last click, etc.), especially if the client also reviews GA4 with a different model
- ROAS or CPA is shown alongside cost, not just cost in isolation
- Conversion actions are defined (note it if "conversions" includes both purchases and phone calls)
- Performance Max is labelled, not mixed unlabelled with Search data
- Campaigns paused or launched during the period are flagged to explain anomalies
- Period comparisons use comparable ranges (same days of week, same number of days)
- Significant external factors are noted: seasonal events, competitor activity, mid-period budget changes
- GA4 and Ads conversions are reconciled, or the discrepancy is acknowledged
That last point matters more than most agencies admit. Ads and GA4 rarely show identical conversion numbers: attribution windows, cross-device tracking, and modelled conversions all create gaps. If your client sees different numbers in GA4, they will notice. A brief note ("Ads reports X conversions using its attribution model; GA4 shows Y using last-click") builds far more trust than hoping they do not compare. See the GA4 conversions guide for a full breakdown of why these numbers diverge, and the Ads + GA4 connection guide for how to link both platforms.
A note on UTM tagging and report integrity
None of this works if your UTM tagging is inconsistent. If auto-tagging is off or UTMs are misformatted, GA4 will misattribute sessions, cross-channel reconciliation will be unreliable, and any report combining Ads and GA4 behaviour data will mislead. Before finalising a report that references both platforms, verify that auto-tagging is on or that manual UTMs are correctly structured. The UTM parameters guide covers the common pitfalls.
Adding the narrative
A well-structured report answers three questions in order: what happened, why, and what next. The metrics give the "what." The drill-down from campaign to ad group to keyword to search terms gives the "why." The recommendations give the "next."
If your report ends at the table and leaves the client to draw conclusions, it is not client-ready. Even a one-sentence summary per campaign ("Brand campaign is performing efficiently at £4.20 CPA; the Shopping campaign spend increased mid-month following the budget increase and is still finding its optimisation baseline") tells the client what the table means.
Clearly lets you build live Google Ads reports that pull campaign, ad group, and keyword data directly, so the structure described here is the default, not something to rebuild from a spreadsheet each month.