The number nobody looks at in your Google Ads report
Your Google Ads report leads with impressions, clicks, and click-through rate. The number that tells you whether the money is working, landing page conversion rate, is the one nobody looks at.
You can pay for good clicks all year and still get too few leads for the money.
The account below is an anonymised composite of accounts I have reviewed; the numbers are illustrative and have been changed.
The business owner was convinced their Google Ads were underperforming because of their targeting.
They'd restructured their campaigns three times. Switched from broad to phrase match. Tested new audiences. Hired a freelancer to rewrite the ad copy. The results barely moved.
When I pulled the account, the campaigns were fine. The targeting was reasonable. The ads were clear.
Then I looked at their landing page conversion rate: 0.8%.
The problem was the page.
Every click they'd ever paid for - every well-targeted, well-written ad that had worked exactly as intended and brought someone to their site - had landed on a page converting less than 1 in 100 visitors.
The number that determines everything
Your Google Ads report probably leads with impressions, clicks, CTR (click-through rate), cost per click, and total spend. These numbers create the impression that something is being managed.
Google Ads can report conversion rate as well, once conversion tracking is set up. In the accounts I review, it is often untracked, tracking the wrong action, or sitting in a column nobody reads.
That is the number that actually determines whether your ad spend is working: landing page conversion rate.
It decides what every click costs you in real outcomes: leads and sales.
If your page converts at 1%, you need 100 clicks to get 1 lead. At $1 per click, that's $100 per lead.
If your page converts at 2%, you need 50 clicks. Same CPC. Same campaign. Same budget.
$50 per lead instead of $100.
That's not a targeting improvement. That's not a bidding strategy. That's a page that does more of its job.
What the math looks like at scale
Run the same calculation across a full year and the difference becomes hard to ignore. The figures below are a worked example.
Budget: $2,000/month | CPC: $1.00 | Monthly clicks: 2,000
| Conversion rate | Leads/month | Cost per lead | Annual leads |
|---|---|---|---|
| 1% | 20 | $100 | 240 |
| 1.5% | 30 | $67 | 360 |
| 2% | 40 | $50 | 480 |
Page changes rarely triple a conversion rate. In the accounts I have reviewed, a fix more often moves it by a fraction than by a multiple, so the realistic question is what a half-point or a full point is worth.
Going from 1% to 1.5% - with the same budget, the same targeting, the same ads - adds 120 leads a year. Going from 1% to 2% adds 240.
If 10% of those leads become clients at a $1,000 average contract value, that is $12,000 in extra revenue a year at 1.5%, and $24,000 at 2%.
Not from spending more. From fixing the page.
Read the rest of this piece
Subscribe to The Marketing Economist: marketing and paid media through an economics lens. The full article opens right here, along with every other one on this site. New issues arrive about once a month.
Why most landing pages fail paid traffic
A landing page built for organic search is not the same as a landing page built for paid traffic.
Organic visitors arrive through content, familiarity, or brand recognition. They've had some exposure to you before they land. They're willing to explore.
A paid search visitor clicked an ad. They're comparing you against the other results. They give you very little time to answer the question: "Is this exactly what I was looking for?"
If the page doesn't answer that quickly, many of them leave. And you paid for that click.
In the landing pages I have reviewed for businesses running Google Ads, the same problems come up again and again:
The page doesn't match the ad. The ad promised one thing and the page delivered something adjacent. The visitor arrived expecting one answer, saw another, and left.
The headline talks about the business instead of the buyer's problem. A visitor arrives with a specific need. If the first thing they read is about you rather than them, they don't stay to find out more.
The hero section earns nothing. No trust established, no urgency communicated, no clear reason why this option over any other.
The CTA (call to action) appears before the page has done any selling. Asking someone to book a call or buy in the first scroll means asking for commitment before you've earned it.
Social proof exists but is buried. Testimonials below the fold, logos without context, generic reviews without specifics. The evidence is there, placed where it gets the least attention: Nielsen Norman Group found that 57% of page-viewing time goes to the first screen, down from 80% in 2010 (Nielsen Norman Group, 2018).
The page works on a desktop and struggles on a phone. A large share of paid traffic arrives on mobile, often the majority, depending on the market. A page that is slow or awkward on a phone loses those visitors before they read a word.
The page answers "what do you do?" but not "why you, why now?" A visitor who understands your service but doesn't trust you enough to act is not a conversion. Clarity is necessary but not sufficient.
None of these are design failures. They're clarity failures. A visually polished page that confuses or fails to persuade will usually lose to a plain page that gets to the point.
The real cost of leaving it unfixed
If you've been running paid ads for 12 months at a 1% conversion rate, the math compounds quickly.
At $2,000/month and a 1% conversion rate, you're generating 20 leads per month. A page converting at 2% would have generated 40.
The difference: 20 leads per month, 240 leads over the year. Gone because the page didn't close, while the targeting and the budget were doing their part.
A gap like that shows up regularly in accounts I review. Campaigns that are well-structured, ad copy that's been tested, a page that hasn't been touched since it was built.
The campaign gets attention. The page doesn't.
Why more budget rarely fixes it
The usual response to too few leads is to raise the budget. It feels like action: you can do it today and the traffic goes up tomorrow.
At best, doubling the budget on a 1% page doubles the clicks and the leads while the cost per lead stays at $100. You have scaled the output without improving the economics.
In practice it is usually worse. Extra budget tends to buy extra clicks at a higher cost per click, as the account reaches further into pricier auctions and less relevant searches. Double the spend rarely buys double the clicks, so the cost per lead tends to rise as you scale.
To match the 40 leads a month of a 2% page, the business on the 1% page would need at least $4,000 a month, and more once the cost per click climbs. The page fix gets there on the $2,000 already being spent.
The fix also compounds. Every future budget increase lands on a page that converts at the higher rate, so the improvement keeps paying as spend grows.
Fix the page before scaling the budget
There is no single conversion rate that counts as good; it varies widely by industry, offer, and price. But if yours has been flat for more than three months while you've been spending on paid traffic, the campaigns are probably not the first thing to fix.
More budget will not fix a page that isn't converting. It will give you more data confirming the page isn't converting, at higher cost.
The right order: audit the page, fix the issues in order of impact, watch the conversion rate move. Then scale the budget - because now every additional dollar is going to a page that earns it.
In short
- Your Google Ads report leads with activity. Landing page conversion rate shows outcomes, and it is often untracked or ignored.
- Going from 1% to 2% conversion rate doubles your leads without touching the budget; even 1% to 1.5% adds half again.
- Many landing page problems are clarity failures, and a redesign alone rarely fixes them.
- 12 months at 1% when the page could reach 2% means 240 leads left on the table.
- More budget usually buys clicks at a rising cost per click. Fix the page first, scale after.
References
- Nielsen Norman Group. (2018). Scrolling and attention. https://www.nngroup.com/articles/scrolling-and-attention/
If something here was useful, would love to know!
adela@dafe.ro