Most Google Ads reports fail clients before they are even 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 question the client is actually asking: is this working?
A client-ready report is not a more polished version of the same data dump. It is a structured narrative that starts with business outcomes and drills down only as far as needed to explain them. This guide walks through how to build that structure — and what to leave out.
The metrics clients care about vs. the ones that confuse them
Before you open a template, get clear on the signal-to-noise problem. Clients generally 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 (useful for diagnosing creative performance, not measuring success), Impression share (a competitive benchmark that needs explanation), Quality Score (an internal Google lever — clients often conflate a low score with "my ads are bad"), and Search lost IS (budget) and (rank) (legitimate diagnostic tools, 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
Google Ads data has a natural hierarchy and your report should mirror it. Campaigns set the budget and targeting strategy. Ad groups (or asset groups in Performance Max) organise creative themes within that strategy. Keywords define the precise search queries that 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 a keyword strategy needs keyword and search terms data. Match the depth to the audience, not to how much data you can fit.
How to handle Performance Max
Performance Max campaigns do not have traditional ad groups or keyword targeting, which creates a reporting gap. PMax reports at the campaign level by default, and Google surfaces asset group performance only within the Ads interface. For client reports, treat PMax as a campaign-level story: spend, conversions, CPA, and conversion value. If you are running both PMax and standard Search campaigns, show them side by side but label PMax clearly — clients who are used to keyword-level transparency will otherwise assume something is being hidden.
Where PMax performance looks strong, 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 you have 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 actually typed. These are not the same thing, and conflating them 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" — all very different intents, and potentially very different conversion rates. The search terms report surfaces this, making it the best place to find wasted spend and missed negatives.
Include a search terms summary in reports when spend is material or performance is off-target. Flag the top ten terms by spend, highlight any that are clearly irrelevant, and show what negatives have already been applied. This builds trust and demonstrates active account management — clients see you are doing work they could not do themselves.
"The question isn't 'what did the campaign spend?' — it's 'what did the campaign accomplish at that spend?' Structure your report around the second question."
Report structure matrix: what to show at each level
Use this as a starting template. Not every report needs every row — choose the depth that fits your audience and reporting frequency.
| Report type | What to show | What to hide / contextualise separately | Best for |
|---|---|---|---|
| Executive summary | Total spend, total conversions, CPA or ROAS, month-over-month trend, one sentence of context | Channel breakdown, keyword detail, impression share, Quality Score | Business owners, board updates, monthly check-ins |
| Campaign-level | Campaign name, spend, conversions, CPA/ROAS, conversion value, status | Impression share (note separately if budget-constrained), Quality Score averages | Marketing managers, budget decisions, strategic reviews |
| Ad group / asset group | Ad group name, spend, clicks, CTR, conversions, CPA, top-performing ad or asset group signal | Individual ad variants, Quality Score per keyword, historical bid changes | Campaign managers, creative testing reviews, mid-flight optimisations |
| Keyword detail | Keyword, match type, spend, clicks, conversions, CPA, search impression share where relevant | Quality Score components (landing page exp., expected CTR, ad relevance — footnote only), bid history | PPC specialists, keyword strategy discussions, account audits |
| Search terms report | Top terms by spend, conversion rate by term, irrelevant terms flagged, negatives applied this period | Long tail terms with zero spend, automated reporting metadata | Monthly optimisation updates, clients questioning spend efficiency, new account audits |
Tabs vs. separate pages
For live shared reports, tabs within a single document work well when the audience is consistent — a single marketing manager who reviews all layers. Separate pages or documents make more sense when different sections go to different audiences (an executive summary to the CEO, a keyword report to the in-house PPC specialist).
The practical rule: if you would be embarrassed for a client to accidentally 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, run through this list:
- Date range is clearly labelled and matches what was agreed (calendar month, custom range, etc.)
- Cost figures include or exclude tax — and this is stated explicitly (GST/VAT note if relevant to your market)
- Conversion attribution model is stated (data-driven, last click, etc.) — particularly important if the client also reviews GA4 data with a different model
- ROAS or CPA is shown alongside cost, not just cost in isolation
- Conversion actions are defined — if "conversions" includes both purchases and phone calls, that is noted
- Performance Max campaigns are labelled and not mixed unlabelled with Search data
- Any campaigns paused or newly launched during the period are flagged so anomalies are explained
- Period-over-period comparison uses a comparable date range (same days of week, same number of days)
- Any significant external factors are noted — seasonal events, competitor activity, budget changes mid-period
- Cross-channel data (GA4 conversions vs. Ads conversions) is reconciled or the discrepancy is acknowledged
That last point matters more than most agencies acknowledge. Ads and GA4 will 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. Getting ahead of it with 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 well if your UTM tagging is inconsistent. If auto-tagging is off or UTM parameters are misformatted, GA4 will misattribute sessions, your cross-channel reconciliation will be unreliable, and any report that combines Ads data with GA4 behaviour data will be misleading. Before finalising any client report that references both platforms, verify that auto-tagging is enabled or that manual UTMs are correctly structured. The UTM parameters guide covers the common pitfalls.
Building the narrative, not just the table
A well-structured report answers three questions in order: what happened, why it happened, and what happens next. The metrics provide the "what." The drill-down structure — from campaign to ad group to keyword to search terms — provides the "why." The recommendations section provides the "next."
If your report ends at the table and expects the client to draw their own conclusions, it is not yet 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" — transforms a data view into a managed account narrative.
adop.tools lets you build live Google Ads reports that pull campaign, ad group, and keyword data directly, so the structure described here is already the default — not something you need to rebuild from a spreadsheet each month.