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Paid Search Reporting: What to Track and How to Build It

Paid Search Reporting: What to Track and How to Build It

Marketer reviewing a paid search report

Good paid search reporting answers three questions: what did we spend, what did it return, and what should we change on Monday. The reports that do this share one shape: a handful of headline numbers, a campaign view for daily decisions, and a deep dive you open only when something looks wrong. If you can ask your live Google Ads, Analytics and Search Console data those questions in plain English, you skip the export-and-spreadsheet step that eats most reporting time. That is what Caybl.ai does, by connecting your accounts to Claude or ChatGPT.

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Get Answers From Live Search Data
Ask your live Google Ads, Analytics and Search Console data questions in plain English, without exports or spreadsheets.

TL;DR

  • A paid search report needs 3 to 5 headline metrics (spend, conversions, ROAS or cost per conversion), then campaign and search term detail underneath.
  • ROAS means nothing without your margin: break-even ROAS is 1 divided by gross margin, so a ROAS of 4 can lose money.
  • Organise reporting in three layers: executive summary, operational view, diagnostic deep dive.
  • Fix the plumbing first: aligned currency, time zone and attribution windows across platforms.
  • Caybl.ai lets you ask your own Google Ads, Analytics and Search Console accounts questions in plain English, with no exports.

Table of Contents

What paid search reporting actually is

Paid search reporting is the routine of turning search ad data (clicks, cost, conversions) into decisions. It is not the same as a dashboard, which is only one way to display the numbers. A report has a reader, a question and a next action. A dashboard that nobody acts on is decoration.

Google’s own tooling gives you the raw material. Google Ads offers a search terms report, a top movers report and a paid and organic report. The top movers report shows the biggest changes in clicks, cost and conversions, with possible causes. The paid and organic report shows how often your pages appear in Google results. Google explains that the paid and organic view helps you see how paid text ads and organic listings work together and surfaces keywords worth pursuing.

The trouble is that each platform only reports on itself. Real paid search reporting joins ad spend in Google Ads, on-site behaviour in Google Analytics and query data in Search Console. That join is where the hours go.

The metrics a paid search report should include

Google Ads Help lists the most common Search campaign metrics in the order people meet them: impressions, clicks, CTR, cost, average CPC, conversions, conversion rate, cost per conversion, conversion value and ROAS. The same page notes that a good CTR depends on the product, service and network, so avoid chasing a universal benchmark.

You do not need all of them in front of every reader. Group them by the job they do:

Job Metrics Question it answers
Volume Impressions, clicks, impression share Are we being seen for the searches we want?
Engagement CTR, average CPC Is the ad relevant, and is the click price sensible?
Outcome Conversions, conversion rate, cost per conversion Are clicks turning into leads or sales?
Efficiency Cost, conversion value, ROAS Is the spend paying back?

A typical PPC report covers clicks, CTR, average cost per click, cost, impression share, conversions, conversion rate and cost per conversion, with ROAS the most popular efficiency measure. Add one column that most reports omit: the change against the previous period. A number without its trend is hard to act on.

Interpreting the numbers in pairs

Single metrics mislead. Read them in pairs:

  • CTR with conversion rate. A high CTR and a low conversion rate points at the landing page or the offer, not the ad.
  • Cost per click with conversion rate. Rising CPC is tolerable if conversion rate rises with it.
  • Impression share with cost per conversion. Low impression share on a profitable campaign suggests budget is the limit, which is where budget pacing matters.
  • Conversions with conversion value. Ten conversions worth £20 each and ten worth £200 each look identical until value is shown.

Is a ROAS of 4 good?

It depends entirely on your margin. ROAS is conversion value divided by cost. Google describes it as the value you aim to return for each unit of currency spent, for example a target of £5 of sales per £1 of spend. Revenue is not profit, so the same ROAS can be healthy for one business and ruinous for another.

The arithmetic is simple. Break-even ROAS is 1 divided by your gross margin:

Gross margin Break-even ROAS Does a ROAS of 4 make money?
20% 5.0 No, it loses money
25% 4.0 Exactly break-even
40% 2.5 Yes, comfortably
80% 1.25 Yes, with plenty of room

The well-known 4:1 rule is simply break-even for a business with a 25% gross margin. So when someone asks whether a ROAS of 4 is good, answer with a question: what is your margin after cost of goods and fulfilment?

One UK-focused review puts the cross-industry average Google Ads ROAS at about 3.68x in 2026, with wide variation by sector. Treat benchmarks as context, never as a target. Your own break-even figure is the only benchmark that pays your bills.

If you sell leads rather than products, the same logic applies with cost per conversion: compare it with what a lead is worth to you at the point it becomes revenue, not at the form fill.

Is a ROAS of 4 good?

What a useful paid search dashboard shows

Most dashboards fail by showing everything. A cleaner approach is to separate reporting into three layers:

  1. Executive summary. Three to five numbers for stakeholders, such as total spend, conversions and blended ROAS or CPA, plus trend and exceptions.
  2. Operational view. Campaign and ad group performance for the person managing the account day to day.
  3. Diagnostic deep dive. Keywords and search terms, opened when an anomaly or a specific question calls for it.

The third layer is the one dashboards handle worst. You cannot pre-build a chart for every question you will have. This is where asking in plain language beats clicking through filters: “Which search terms spent more than £50 last week without a conversion?” is a diagnostic question that would otherwise mean building a custom report.

For wider examples of layouts by team, see our marketing dashboard examples. If you also advertise on Bing, the Microsoft Advertising dashboard guide covers that side.

Building a reporting workflow that holds up

A dashboard is a view. A workflow is what keeps the view trustworthy. Whether you automate it or run it by hand, it has four stages: collect the raw data from Google Ads, GA4 and Search Console; process it into KPIs and variances; store history so you can see trends; and distribute it to the right person in the right format. Practitioners who automate this recommend archiving raw data before processing and configuring error notifications, so a silent failure does not leave you reporting stale numbers.

Four stages of a paid search reporting workflow

Decide your source of truth

Ad platforms are the best record of spend. They are a weaker record of revenue. A source-of-truth approach for B2B treats the CRM as the master record for pipeline and revenue, the ad platform as the master for spend only, and platform-reported conversions as supplementary. Write that rule down where finance and sales can see it.

Align the basics across platforms

Each platform attributes conversions on its own terms, so adding them together double counts. Before relying on cross-channel numbers, check that time zone, currency and attribution window match across every source. Our guide to cross-channel attribution walks through models, setup and validation.

Set a weekly rhythm

A workable cadence for most teams:

  • Weekly (20 minutes): headline metrics against the previous week, top movers, search terms with spend and no conversions, budget pacing.
  • Monthly: ROAS or cost per conversion against break-even, landing page performance, new keyword opportunities from Search Console.
  • Quarterly: reconcile platform conversions with CRM revenue and revisit your margin assumption.

The same discipline applies to retail accounts; our ecommerce reporting workflow shows the KPIs for that case.

Choosing paid search reporting software

Reporting software for paid search comes in a few types: platform-native reports, spreadsheet connectors, dashboard builders and, more recently, AI assistants wired to your accounts. Whatever type you pick, three filters matter most: simplicity of setup, reliability of data refresh and clarity of output. Look also for native integrations with the platforms you already use, recurring automated reports and views tailored to each stakeholder.

The cost of most tools is not the licence. It is the maintenance: broken connectors, a dashboard only one person understands, and exports that go stale. A good test is how many steps lie between a question in your head and an answer on screen.

Using Claude or ChatGPT on your ad data, safely

AI assistants are well suited to the diagnostic layer: they read the data, explain the movement and suggest a next step. Done carelessly, though, you paste exports into a chat window and lose control of what has been shared. Three habits keep it safe:

  • Connect, do not paste. A direct connection avoids copies of client data scattered across chats and downloads.
  • Scope access. Approve only the accounts and data the question needs, and know how to disconnect.
  • Preview before changes. Any edit to bids, budgets or keywords should be shown to you before it applies.

If your reports include personal data, the UK Information Commissioner’s Office publishes guidance on AI and data protection that your data protection lead should read. Ad performance data is usually aggregated, but search terms and form-level data deserve care.

For a broader view of where AI fits in a marketing team, see our practical guide to using AI for marketing.

Perspective

Most reporting pain comes from the gap between a question and the data that answers it. Someone asks why leads dropped last week, and the answer sits across Google Ads, Analytics and Search Console, three tabs and a spreadsheet away.

We built Caybl.ai to close that gap. You connect your accounts with a Google sign-in, ask in plain English, and get answers from your live data. There are no exports and no dashboard to learn. Access is scoped to what you approve, changes are previewed before they apply, and you can disconnect in one click.

Our view is that dashboards still have a place for the three or four numbers everyone watches. But the questions that actually move spend, such as which campaigns are wasting budget or which pages lost rankings, are better asked than charted.

Gearoid

Ask your paid search data directly

Caybl.ai connects Google Ads, Google Analytics and Search Console to Claude and ChatGPT, so the weekly review becomes a set of questions you type rather than a report you assemble. Setup takes about two minutes with a Google sign-in. Google Analytics is free to connect. Pro, at $29 per month, adds Ads, Search Console and more, and Team starts from $20 per month per seat for agencies and marketing teams. See the plans and pricing, or read how Caybl.ai works.

Caybl

If you are connecting Google Ads specifically, our guide to connecting Google Ads to Claude lists the options.

FAQ

What does paid search mean in marketing?

Paid search is advertising where you pay to show ads on search engine results pages, usually charged per click. Google Ads and Microsoft Advertising are the main platforms. Reporting tracks what those clicks cost and what they return.

Which metrics matter most in a paid search report?

Start with cost, conversions, cost per conversion and ROAS, then add CTR, average CPC, conversion rate and impression share for diagnosis. Show each against the previous period so readers see direction, not just totals.

Is a ROAS of 4 good?

Only relative to your gross margin. Break-even ROAS is 1 divided by margin, so a ROAS of 4 is exactly break-even at 25% margin, profitable at 40% and loss-making at 20%. Calculate your own break-even figure before judging any campaign.

Review headline numbers and anomalies weekly, profitability and landing pages monthly, and reconcile platform data with CRM revenue quarterly. Weekly checks catch wasted spend while it is still small.

Not necessarily. A dashboard suits the few numbers everyone tracks. For one-off diagnostic questions, asking your connected data in plain English is faster than building another chart.

Sources