Open Google Ads for the first time and you will see a wall of numbers: impressions, clicks, click-through rate, quality score, search impression share, average position, interaction rate, and dozens more. It is genuinely overwhelming, and most business owners respond by focusing on whichever number looks best. That is a trap.
The problem is not a lack of data. It is that most of what Google surfaces by default has almost no connection to whether your business is making money. Tracking the wrong things does not just waste your time; it actively misleads you into thinking a campaign is working when it is quietly draining your budget.
Why Most Google Ads Dashboards Are Full of Noise
Google Ads surfaces over 50 reportable metrics by default. You can add columns for things like absolute top impression rate, auction insights, and phone-through rate until the screen is completely unreadable. The platform is built to give you everything, which means it is not built to help you decide anything.

Vanity metrics are the ones that feel good but do not tell you whether a campaign is profitable. Impressions tell you how many times your ad appeared on a screen. Clicks tell you how many people were curious enough to tap it. Click-through rate (CTR) tells you the ratio between the two. None of these numbers tell you whether the person who clicked actually became a customer, or whether the revenue from that customer was worth more than what you paid for the click.
Consider a small plumbing business in Worthing running a Google Ads campaign. The dashboard shows 10,000 impressions and a 4% CTR, which means 400 people clicked the ad. That sounds healthy. But if 300 of those clicks came from people searching for DIY plumbing tips, landlord compliance questions they intended to handle themselves, or jobs in a postcode the plumber does not cover, those clicks cost money and produced nothing. The campaign is losing money despite impressive-looking numbers at the top of the report.
This is not a rare edge case. It happens constantly, and it is why looking at impressions and CTR to judge a campaign's health is like judging a restaurant by how many people walk past the window rather than how many sit down and order.
This article focuses on three metrics that actually connect to profit: cost per qualified lead (CPL), conversion rate, and return on ad spend (ROAS). Each one is explained from scratch, so no prior PPC experience is needed. By the end, you will have a clear framework for cutting through the noise and deciding whether your Google Ads budget is working for you or against you.
Cost Per Qualified Lead: The Number That Pays Your Bills
Cost per lead is a straightforward calculation: take your total ad spend over a given period and divide it by the number of leads that came in. Spend £500, get 10 leads, and your CPL is £50. Simple enough. But that simplicity is also where most businesses go wrong.
The word qualified is what transforms CPL from a bookkeeping figure into something useful. A raw lead is just a contact. A qualified lead is someone who actually needs the service you offer, can afford it, and is ready to make a decision within a reasonable timeframe. Tracking raw CPL without filtering for quality flatters the campaign. You might celebrate a CPL of £20, but if eight of those ten leads are people looking for something you do not offer, your real CPL is £100 and the campaign is far less efficient than it appears.
The way to separate qualified from unqualified leads varies by business. For trades, it often means filtering out calls from people outside your service area, people asking about work you do not take on (a roofer getting calls about gutters they do not fit, for example), or people who go silent after the first contact. Keeping a simple tally in a spreadsheet each week, marking each lead as qualified or not, is enough to build a picture within a month.
What Does a Realistic CPL Look Like?
The 2025 cross-industry CPA average on Google Ads was $70.11, up 5.13% year on year. At current exchange rates that translates to roughly £55. That is the average across all industries globally, which means it includes software companies, law firms, and large e-commerce brands. It is a useful anchor point, but it is not your target number.
For UK trades businesses, electricians, plumbers, builders, roofers, and similar, a realistic qualified CPL target sits between £30 and £80 depending on the value of the work you are chasing. A local electrician whose typical job is a consumer unit replacement at £400 should be aiming at the lower end of that range. A specialist roofing company averaging £3,000 per job can justify spending more per lead because the margin is there to absorb it.
How to Set Your Own CPL Target
The formula is straightforward and worth working through properly before you set up any campaign, or before you review an existing one.
- Start with your average job value. What does a typical piece of work actually bring in? Be honest and use an average across your last 20 or 30 jobs, not the biggest one you can remember.
- Multiply that by your close rate. If you quote for every lead and win roughly 40% of quotes, your close rate is 0.4.
- Decide what percentage of revenue you can afford to spend on acquisition. Most small trades businesses work on a figure between 10% and 25% depending on margin.
- Multiply job value by close rate by your acquisition cost percentage. That gives you your maximum CPL.
Here is a worked example. A roofer whose average job is £2,000 closes 40% of the leads they quote for. If they are willing to spend up to 20% of revenue on getting new work, the maximum they can afford per lead is: £2,000 x 0.4 x 0.20, which equals £160. That means they can pay up to £160 for each qualified lead and still hit their margin target. Anything below that is a win; anything above it needs investigation.
This number matters beyond your own spreadsheet. Google's Target CPA bidding strategy uses the CPL figure you input to automatically adjust how much it bids for each auction in real time. If you enter £160 as your Target CPA, Google will try to generate leads at that cost or below, shifting bids up when a searcher looks likely to convert and pulling back when they do not. Getting this number right has direct consequences for how the campaign behaves, so it is worth the twenty minutes it takes to calculate it properly.
Tracking Leads Properly: Phone Calls Matter
One common reason CPL figures look misleading is that most Google Ads accounts are set up to track form fills as conversions and nothing else. For trades and service businesses, a large proportion of enquiries come in by phone. If those calls are not being counted as conversions, your CPL looks artificially high and Google's bidding algorithm is working with incomplete data.
The fix is to connect your Google Ads account to a call tracking tool. CallRail and ResponseTap are both widely used in the UK. They assign unique phone numbers to your ad campaigns so that when someone calls after clicking an ad, the call is recorded as a conversion inside Google Ads. This means your CPL calculation includes all leads, not just the ones who prefer typing to calling, and Target CPA bidding has the full picture it needs to make good decisions.
Conversion Rate Benchmarks: What Good Actually Looks Like
Conversion rate is the percentage of people who click your ad and then take the action you wanted them to take, whether that is filling in a contact form, calling your number, making a purchase, or booking an appointment. If 100 people click your ad and 4 fill in the enquiry form, your conversion rate is 4%.
It sounds simple, but most business owners have no idea whether their conversion rate is good, poor, or catastrophically bad, because they have no benchmark to compare it against. That is the gap this section closes.
The Numbers You Should Know
Across all paid advertising platforms, the average conversion rate sits at around 2.35%. Google Ads search campaigns consistently outperform that baseline, averaging between 3.1% and 6% across most industries. Some verticals push well above that. The overall average across all industries on Google Ads in 2025 was reported at 7.52%, though that figure is pulled upward by high-intent categories such as legal services and healthcare where searchers are motivated and searches are specific.
Breaking it down by sector gives a more useful picture. According to WordStream's industry benchmark data, B2B search campaigns average a conversion rate of 3.04%. E-commerce search ads average 2.81%, meaning roughly 3 purchases for every 100 clicks, which sounds low but is consistent across the sector. Trades and home services typically see conversion rates between 6% and 8% on search campaigns, and the reason is straightforward: someone typing "emergency plumber Worthing" or "boiler repair near me" has already made the decision to hire someone. They are not browsing; they are buying. The intent behind the search is so specific that converting them is a matter of giving them confidence your business is the right choice, not persuading them they need the service at all.
What a Low Conversion Rate Is Usually Telling You
A conversion rate below 2% on a search campaign almost always points to a landing page problem rather than an ads problem. The click happened, which means the ad was convincing enough to get someone to your website. The failure happened after arrival. Either the page did not match what the ad promised, it loaded too slowly, it was not easy to use on a mobile phone, or the path to making an enquiry was not obvious enough.
There is a practical three-point check worth running if your conversion rate is consistently under 2%.
- Does the landing page content match the ad exactly? If your ad says "Same-day boiler repair in Worthing" and the landing page is a generic homepage with no mention of same-day service, visitors will feel they have landed in the wrong place and leave.
- Does the page load in under 3 seconds on mobile? Google's own data consistently shows that pages taking longer than 3 seconds to load lose more than half their visitors before the page even finishes loading. Use Google's free PageSpeed Insights tool to check your load time.
- Is there one clear call to action? Pages that offer visitors five different things to do often result in them doing nothing. One prominent phone number or one enquiry form, positioned above the scroll, will outperform a page full of options almost every time.
Conversion rate is the metric that connects your ad spend to actual business outcomes. It is the link between the money going into Google and the enquiries or sales coming out the other side. For that reason it deserves weekly attention, not a monthly glance during an account review. A drop in conversion rate that goes unnoticed for four weeks can cost a small business hundreds of pounds before anyone spots the problem. Checking it weekly, even just a two-minute scan of the last seven days versus the previous period, gives you enough warning to act before the damage compounds.
ROAS for E-Commerce: Setting a Floor Before You Scale
ROAS stands for return on ad spend. The formula is simple: revenue generated divided by the amount spent on ads, expressed as a ratio. Spend £1,000 and generate £2,000 in sales, and your ROAS is 2:1. Expressed as a percentage, that same result is 200%. Both formats mean the same thing, but ratios tend to be easier to reason about when you are setting targets.
A 2:1 ROAS is roughly the cross-industry average benchmark. It sounds reasonable until you remember that revenue is not profit. A business selling furniture at a 2:1 ROAS is almost certainly losing money once you account for the cost of the sofa, the warehouse, the delivery driver, and the inevitable returns. This is the most common and most costly mistake UK e-commerce owners make when reading their Google Ads reports.
For UK e-commerce businesses, a ROAS of 3:1 to 4:1 is generally considered a healthy baseline. But even that needs stress-testing against your actual margins. The correct question is not "is my ROAS above 3?" but "what ROAS do I need just to break even on my ad spend?"
Calculating Your Break-Even ROAS
The maths is straightforward. Divide 1 by your gross profit margin. If your gross margin is 35 percent (meaning after product cost, shipping, and packaging you keep 35p of every £1 you take in), your break-even ROAS is 1 divided by 0.35, which equals 2.86. So a 3:1 ROAS gives you only a thin margin above break-even, not a comfortable profit. A business with a 25 percent margin needs a 4:1 ROAS before it sees a single penny of profit from its ads.
This matters because some product categories, including clothing, homewares, and electronics, carry return rates of 20 to 40 percent. Returns wipe out revenue without reducing your ad spend, meaning the ROAS you see in Google Ads is not the ROAS your accountant will recognise. Always factor in your real net revenue, not the gross order value Google records at the point of purchase.

When to Use Google's Target ROAS Bidding
Google's Target ROAS bidding strategy sounds appealing: tell Google what return you want and let the algorithm chase it. The catch is that it needs data to work. Google's own guidance, and practical experience across many accounts, points to a minimum of 30 to 50 conversions within a 30-day window before the strategy can bid reliably. Below that threshold, the algorithm is essentially guessing, and it will often either underspend or overspend in ways that hurt your results more than manual bidding would.
If your campaign is new or your volume is low, use Maximise Conversions or manual CPC until the data builds. Switch to Target ROAS once you consistently hit that conversion volume, and set your initial target conservatively, close to your actual recent ROAS rather than the figure you wish you were hitting.
It is also worth noting that context matters. industry ROAS benchmarks vary considerably by sector. Search campaigns in B2B contexts can achieve 553 percent ROAS (5.53:1), while Performance Max campaigns average around 436 percent (4.36:1). For product-based e-commerce, those figures are harder to reach, which is exactly why setting a personalised break-even floor matters more than chasing a published average.
One final point: ROAS is the right anchor metric for e-commerce and product-based businesses. If you run a service business or a trade, ROAS is largely meaningless because there is no transaction to record at the point of the click. That distinction is worth spelling out in more detail.
Trades vs. E-Commerce: Different Goals, Different Benchmarks
A plumber in Worthing and a clothing retailer in Leeds are both running Google Ads. They should not be looking at the same metrics. The mistake many small business owners make is applying e-commerce logic to a service-based business, or vice versa, and then wondering why the numbers feel disconnected from reality.
For trades and local service businesses (plumbers, electricians, landscapers, kitchen fitters, builders), the right anchor metrics are cost per qualified lead and conversion rate. ROAS simply does not apply, because there is no revenue recorded at the point of the click. A potential customer searches, clicks, fills in a contact form or calls the number on the landing page, and the actual job might be quoted and won a week later, in person. Google has no visibility into that final step. Trying to calculate ROAS in this context is measuring the wrong thing entirely.
What Good Looks Like for Trades
A well-run trades campaign in a UK town, targeting genuinely local, high-intent searches, should achieve a conversion rate of around 6 to 10 percent. Search intent for trades queries is extremely high. Someone typing "emergency boiler repair Brighton" is not browsing. They need someone now. If your landing page is clear, your phone number is prominent, and your ad matches what they searched for, a double-digit conversion rate is achievable.
To get there, the setup has to be tight. Here is what a trades campaign checklist should include:
- Track phone calls as conversions, using Google's call tracking or a dedicated tracking number. A form fill is not the only conversion that matters, and for many trades it is not even the primary one.
- Set location targeting to the specific towns or postcodes you actually serve. Targeting the whole of the South East when you only cover a 15-mile radius wastes budget on clicks you can never convert into jobs.
- Review the search terms report weekly, especially in the first month. Irrelevant queries will appear, and every click on them is money spent for nothing.
- Use ad scheduling to pause ads outside the hours when your team can actually answer the phone or respond to enquiries. A lead that goes cold overnight because nobody was available is a lead you paid for and lost.
What Good Looks Like for E-Commerce
E-commerce campaigns need ROAS and conversion rate tracked together. Conversion rate below 2.81 percent on a Search campaign is a signal that something is wrong with the product page or the checkout process, not necessarily the ads. Increasing ad spend on a low-converting landing page just buys more evidence that the page does not work. Fix the page first.
The e-commerce checklist looks different:
- Set a break-even ROAS floor before you touch the budget. Know the minimum ROAS at which you are making money, and treat anything below it as a problem to investigate rather than a target to average out.
- Separate branded and non-branded campaigns. Branded keywords (people searching for your business name directly) almost always convert at a much higher rate and ROAS than non-branded ones. Mixing them inflates your overall numbers and masks how your acquisition campaigns are actually performing.
- Watch cart abandonment rate alongside your Google Ads conversion rate. A high click-through rate from your ads but a high abandonment rate at checkout points to a checkout problem, not an ads problem.
- Use ad scheduling here too. If your customer service team is not available at weekends and a customer hits a problem with their order, the goodwill you spent money building disappears. Protecting response times protects lifetime value.
Both business types share one important discipline: ad scheduling to match availability. If your team cannot respond to a lead promptly, the cost per acquired customer climbs because leads go cold. Pausing ads during hours when nobody can follow up is not losing opportunity. It is protecting your CPL.
The Hidden Leak: Wasted Spend That Skews Every Metric
You can have a healthy click-through rate, a reasonable average CPC, and a conversion rate that looks acceptable on the surface, and still be haemorrhaging money. The reason is almost always wasted spend on irrelevant searches, and it hides in a part of the Google Ads interface most small business owners rarely open: the search terms report.
Irrelevant search terms are the single biggest source of wasted budget for small UK businesses running Google Ads. When you use broad match or phrase match keywords, Google's matching system has latitude to show your ad for searches that are related to your keyword in only the loosest sense. That latitude costs money.
How Wasted Spend Actually Happens
Consider a kitchen fitter in Brighton bidding on the keyword "kitchen" on broad match. In theory, the intent seems reasonable. In practice, that keyword can trigger the ad for searches like "kitchen sink drama meaning", "kitchen nightmares UK episodes", or "kitchen porter jobs Brighton". None of those searchers want a kitchen fitted. Every click from them is budget gone with zero chance of a return.
This is not an unusual scenario. It is the default behaviour of broad match keywords, and it gets worse as Google has gradually expanded the reach of phrase match to behave more like broad match used to. The practical response is to treat your negative keyword list as a live document, not a one-time setup task.
Negative keyword lists should be reviewed after the first two weeks of any new campaign, and then monthly as a minimum. In the early weeks of a campaign, the search terms report fills up quickly with the unexpected queries your keywords are matching. Catching them early prevents weeks of drip spending on irrelevant traffic.
Match Types and Their Impact on CPL
The choice of match type is not just a technical preference. It has a direct and measurable impact on cost per lead. Data from 42 Agency's 2026 B2B benchmarks found that exact match keywords deliver twice the cost efficiency per marketing-qualified lead compared to phrase match, with phrase match generating an average cost per MQL of $2,800 versus $1,200 for exact match. The tighter the match type, the more control you have over which searches trigger your ads, and the lower your CPL tends to be as a result.
This does not mean you should only ever use exact match. Phrase match has its place in expanding reach to related queries you have not thought of yet. But the implication is clear: start tight, expand cautiously, and monitor the search terms report at every stage.
Quality Score: The Compounding Effect of Relevance
There is a second, less obvious consequence of irrelevant matches. Google uses Quality Score, an internal metric based on expected click-through rate, ad relevance, and landing page experience, to determine how much each advertiser pays per click for a given position in the auction. Advertisers with higher Quality Scores pay less per click than competitors with lower scores, even when bidding for the same position.
When your ads are being triggered by irrelevant searches, users see an ad that does not match what they were looking for and do not click. That low click-through rate signals to Google that your ad is not relevant, which pushes your Quality Score down. A lower Quality Score means higher CPCs across your account, which inflates your CPL even on the searches that are genuinely relevant to your business.
The fix is to align three things tightly: the keyword, the ad copy, and the landing page content. A campaign targeting "emergency boiler repair Worthing" should have ad copy that mentions emergency boiler repair and links to a page that specifically addresses that service in that location. When all three elements match closely, Quality Score improves, CPC falls, and CPL comes down without any increase in budget.
This is why wasted spend is so damaging beyond just the direct cost of the irrelevant clicks themselves. It pollutes your Quality Score, raises your costs on good traffic, and makes your CPL look worse than it should be. The search terms report is where leaks hide, and checking it regularly is the most cost-effective maintenance task in any Google Ads account.
Building a Simple Reporting Habit That Actually Changes Decisions
The goal here is not to become a data analyst. It is to build a habit that takes you fifteen minutes a week and gives you enough signal to act with confidence. A one-page weekly snapshot covering three numbers is more useful than a full platform report that takes an hour to read, because a full report invites analysis paralysis. You end up staring at impression share graphs instead of deciding whether to pause an ad group that is burning budget.
The Three Numbers to Review Each Week
Keep the weekly check-in ruthlessly short. Review these three numbers and nothing else:
- CPL (or ROAS for e-commerce): this is the headline. Is your cost per qualified lead rising, falling, or holding steady against your target? For e-commerce, swap this for ROAS and check it against your floor figure.
- Conversion rate: if CPL is drifting up, the conversion rate usually tells you why. A drop here points to a landing page problem rather than a bidding problem, and that changes how you respond.
- Total spend vs. budget: are you pacing correctly? Underspending by 40% means your ads are not showing enough to generate useful data. Overspending means something has gone wrong with campaign caps or bid targets.
That is genuinely it for a weekly review. Write the three numbers in a shared Google Sheet, note whether each one is inside or outside your target range, and decide whether anything needs action before next week.
Free Tools That Are Good Enough
You do not need expensive reporting software. Three options work well for small UK businesses:
- Google Ads built-in reporting: create a saved custom report inside the platform with your core columns (cost, conversions, cost per conversion, conversion rate) and bookmark it. Takes about five minutes to set up once.
- Google Looker Studio with the native Google Ads connector: free, connects directly to your account, and lets you build a one-page dashboard you can share with a colleague or client. The native connector pulls live data so there is no manual export required.
- A simple Google Sheet updated manually: if you only have one campaign and a modest budget, a spreadsheet where you paste weekly numbers is completely sufficient. The act of typing the numbers in forces you to actually look at them.
Monthly Reviews for the Bigger Decisions
Weekly check-ins catch fires. Monthly reviews are where you make structural decisions: pausing keywords that have spent over your target CPL threshold without converting, adjusting bids on ad groups that are consistently underperforming, or writing and testing new ad copy for headlines that have stalled. Block ninety minutes in your calendar on the first Monday of each month and treat it as fixed.
The monthly review is also when you look at search term reports. This is where you find out what people actually typed before clicking your ad, and it is often full of surprises. Irrelevant searches should become negative keywords immediately, because they are inflating your spend figure and dragging down your conversion rate at the same time.
Define What Each Metric Triggers Before You Start
The most useful thing you can do before a campaign goes live is write down your decision rules. This sounds formal but it takes about ten minutes and it stops you making emotional decisions mid-campaign. Two rules that work well in practice:
- If CPL rises more than 20% above your target for two consecutive weeks, pause the lowest-performing ad group and redistribute the budget to the one with the best CPL.
- If conversion rate drops below 2% in any given week, do not touch the bids. Audit the landing page instead: check the page load speed, review the form, and make sure the headline matches the ad copy the visitor clicked on.
Having these rules written down means you are responding to the data rather than reacting to anxiety. It also makes it easier to hand the account over to someone else, or to brief an agency, because the decision logic is already documented.
Why You Should Not Make Daily Changes
Google's Smart Bidding algorithm needs time to learn. After any change to bids, budgets, or targeting, give the campaign at least seven to fourteen days before drawing conclusions. Making daily bid adjustments based on two or three conversions is the equivalent of steering by glancing at the road every half second rather than watching the full picture. Small sample sizes will mislead you almost every time, and constant changes reset the learning period, meaning the algorithm never settles into an efficient pattern.
This is particularly important for smaller UK businesses running modest budgets. If you are spending £500 a month across three ad groups, each ad group might generate only a handful of conversions per week. That is not enough data to confirm a trend, let alone justify a structural change. Wait for the signal to be consistent across two or three weeks before acting on it.
The point is not to track more, it is to track less and act faster on what genuinely signals a problem or an opportunity. Most dashboards reward looking busy. A good reporting habit rewards clarity. Pick your three numbers, set your decision rules, and review them on a fixed schedule. If a metric hits a trigger, act. If it does not, leave the campaign alone and let it run. That discipline alone will put you ahead of most small business Google Ads accounts.