Google Ads reporting inside the native interface is comprehensive — almost too comprehensive. The sheer number of columns, segments, and views makes it easy to spend an hour in the interface and come away with less clarity than you started with.
Data Studio fixes this by forcing you to be deliberate about which metrics you display. Connected to the Google Ads connector, a well-built Data Studio report surfaces the numbers that drive decisions and hides everything else. Here are the eight metrics every Google Ads dashboard should include.
1. Impressions
What it measures: The number of times your ads were displayed to users — in search results, on the Display Network, or on YouTube, depending on your campaign type.
Why it matters: Impressions measure your reach. Low impressions on a search campaign indicate that your bids, budgets, or targeting are too narrow. High impressions with low clicks point to an ad copy or targeting mismatch.
What good looks like: Track impressions relative to impression share — if you have strong impression share (70%+), your campaigns are reaching most of their potential audience. Low impression share means budget or bid constraints are limiting reach.
Data Studio tip: Display impressions as a time-series chart to spot sudden drops — they often signal ad disapprovals, budget exhaustion, or increased competition.
2. Clicks
What it measures: How many times users clicked on your ads. Each click represents a user who was interested enough to leave their current context and visit your site.
Why it matters: Clicks are the bridge between your ad spend and your website. Without clicks, nothing else in the funnel can happen.
What good looks like: Track clicks alongside sessions in GA4 (via data blending in Data Studio) to monitor how much paid traffic reaches your site vs. how much Google Ads reports as clicked — discrepancies indicate tracking issues.
Data Studio tip: Break clicks down by campaign type (search, display, shopping) to compare where your traffic is actually coming from.
3. Click-Through Rate (CTR)
What it measures: Clicks divided by impressions, expressed as a percentage. If 1,000 people see your ad and 30 click it, your CTR is 3%.
Why it matters: CTR reflects how well your ad matches user intent at the moment of the search. A low CTR on a high-impression keyword means your message isn't resonating — even though Google thinks your ad is relevant enough to show.
What good looks like: Search campaigns typically see 3–10% CTR for well-targeted, high-intent keywords. Display campaigns run much lower (0.1–0.5%) due to passive audience targeting. Compare within campaign types, not across them.
Data Studio tip: Add a conditional colour rule to your CTR scorecard: green above your target, red below. This makes underperforming campaigns immediately visible without reading through a table.
4. Average CPC
What it measures: The average cost per click across all clicks in your campaigns. Calculated as total cost divided by total clicks.
Why it matters: Average CPC drives budget efficiency. Rising CPC with flat conversion rates means your cost per acquisition is climbing. Falling CPC with flat conversions means the same results at lower cost — a sign your optimisations are working.
What good looks like: Absolute CPC benchmarks vary enormously by industry. Track your own trend over time rather than external benchmarks.
Data Studio tip: Plot average CPC as a time-series alongside cost to visualise how much of your spend increase is volume-driven vs. price-driven.
5. Cost
What it measures: Total spend in the selected period across all selected campaigns, ad groups, or keywords.
Why it matters: The denominator in every efficiency metric. Without accurate cost data, you can't calculate CPA, ROAS, or any other profitability measure.
What good looks like: Track pacing (actual spend vs. planned budget for the period) on a daily basis. Overpacing means you'll exhaust budget before month-end; underpacing means campaigns are restricted.
Data Studio tip: Add a daily cost bar chart to your report so budget pacing is visible at a glance. Pair with a month-to-date cost scorecard for quick budget checks.
6. Conversions
What it measures: Completed actions that you've defined as valuable in your Google Ads conversion tracking — purchases, form submissions, phone calls, app installs.
Why it matters: Conversions are the output your campaigns exist to produce. Every other metric is a leading indicator; conversions are the result.
What good looks like: Track by conversion action type, not just the total. Knowing that leads are up 20% is less useful than knowing that purchase conversions are flat while demo requests are up — very different implications for strategy.
Data Studio tip: Use a table with Campaign and Conversion action as dimensions to show which campaigns are driving which types of conversion.
7. Conversion Rate
What it measures: Conversions divided by clicks, expressed as a percentage. If 100 clicks produce 5 conversions, your conversion rate is 5%.
Why it matters: Conversion rate separates traffic quality from landing page quality. If you have high clicks and low conversion rate, the problem is more likely the post-click experience (landing page, form, pricing) than the ads themselves.
What good looks like: E-commerce conversion rates typically run 1–4%. Lead generation varies by industry but 2–8% is common for well-matched search campaigns. If your rate is below 1%, the landing page is usually the first place to investigate.
Data Studio tip: Compare conversion rate by device (desktop vs. mobile vs. tablet). Mobile conversion rates are often significantly lower and can mask landing page issues that only affect certain users.
8. ROAS (Return on Ad Spend)
What it measures: Conversion value (revenue) divided by cost. A ROAS of 4 means you generated $4 in revenue for every $1 spent on ads.
Why it matters: The most direct profitability signal for campaigns where you track revenue. ROAS tells you whether your ads are generating more value than they cost — the question every advertiser ultimately wants answered.
What good looks like: Break-even ROAS depends on your margins. For most e-commerce businesses, 3–5x ROAS is a baseline target. High-margin products can be profitable at 2x; low-margin products may need 6x or higher.
Data Studio tip: Add a ROAS scorecard with a conditional colour rule based on your break-even target. If campaigns are below break-even ROAS, they should appear in red immediately.
Putting it all together
These eight metrics cover the full Google Ads performance loop: how many people see your ads (impressions, CTR), how much you pay for their attention (CPC, cost), and whether that attention turns into business results (conversions, conversion rate, ROAS). Clicks sit at the centre — the point where ad performance and landing page performance meet.
A dedicated Data Studio report brings all of these into one view with live data, period comparisons, and campaign-level breakdowns. Our Complete Website Overview template includes a full Google Ads section alongside GA4, Search Console, and YouTube data — so you can see how paid and organic channels work together in a single dashboard.