CTR (Click-Through Rate) and performance: how to tell whether clicks are creating value for the business

CTR, Click-Through Rate, measures the percentage of impressions that generate a click. The formula is simple: clicks divided by impressions, multiplied by one hundred. Google Ads uses CTR to assess how relevant ads and keywords are and how well they generate interest. The figure describes the attention obtained well, but on its own it is not enough to explain the economic value produced.

This is why, in a Performance Marketing system, CTR should sit within a hierarchy that links attention, clicks, behaviour, conversion, customer and economic value. Business KPIs themselves become meaningful when a decision is tied to their trend.

The problem emerges in reports prepared for the CEO and the Board. Dashboards may show rising CTR, falling CPC and higher traffic volumes, while qualified leads, sales, margins or pipeline remain unchanged. Marketing appears to improve because an intermediate metric improves; the business may go on producing the same value as before.

The management question therefore concerns the relationship between CTR and economic performance. The click must be followed along the funnel and compared with Conversion Rate, opportunity quality, CPA, CAC, ROAS, margin and Customer Lifetime Value.

CTR measures interest, not economic value

If an ad generates 500 clicks from 10,000 impressions, the CTR is 5%. The figure makes it possible to compare creative, keywords, audiences and placements, but says nothing about what happens after the click.

Someone may click because they are seriously considering a purchase, because they are looking for preliminary information, because a promise is particularly aggressive or because they discover only on the landing page that the offer does not match their needs. The same technical event therefore contains very different economic intentions.

Google explicitly distinguishes bidding strategies by objective. Maximize Clicks optimises for more visits, while Maximize Conversions, Target CPA, Maximize Conversion Value and Target ROAS shift progressively towards conversions and value.

For management the consequence is direct: a campaign can be highly efficient at generating traffic and inefficient at acquiring customers. CTR works well as a leading indicator, useful for diagnosing the strength of the message, the accuracy of targeting and the audience’s initial response.

From vanity metric to metric hierarchy

The risk arises when an intermediate metric becomes the final target. Goodhart’s Law is often summarised as follows: when a measure becomes a target, it tends to lose part of its ability to represent the outcome we wanted to observe.

A paper published in GigaScience in 2019 analysed more than 120 million publications, showing how excessive optimisation of specific quantitative indicators can alter their informational value. The study concerns academic research, not marketing, but the governance principle holds: maximising the proxy can pull the system away from the real objective.

In performance marketing, the hierarchy can be read on at least five levels.

CTR becomes more useful when read vertically, together with the metrics that come before and after it. If the indicator changes, management must be able to understand what effect it has on the levels that follow.

When dashboards show positive signals and management can no longer reconstruct the relationship between investment, behaviour and economic result, a Marketing Audit can rebuild tracking, funnel, definitions and responsibilities before the budget is increased.

When CTR rises but performance worsens

Consider two simplified B2B campaigns. Campaign A generates 100,000 impressions and a CTR of 8%, and therefore 8,000 clicks. Campaign B records the same number of impressions and a CTR of 3.5%, equal to 3,500 clicks. Looking at CTR alone, A appears clearly superior.

Now imagine that A turns 4% of clicks into leads, of which 10% qualify. It obtains 320 leads and around 32 genuinely interesting opportunities. B converts 7% of clicks into leads and 30% of these meet the qualification criteria: around 245 leads and more than 70 qualified opportunities.

The second campaign produces fewer clicks and fewer nominal leads, but more pipeline. This is what can happen when creative, curiosity or targeting broaden appeal faster than commercial relevance.

The problem is amplified in businesses with long sales cycles. A form completed today may become a contract weeks or months later. Stopping measurement at the technical conversion assigns the same value to contacts that, for Sales, have very different probabilities of closing.

Google is pushing precisely towards deeper conversions. Enhanced Conversions for Leads allow offline events and CRM data to be fed back to the platform, improving attribution between campaign, lead and subsequent outcomes.

CTR and traffic quality must be read together

The first relationship to check is between CTR and Conversion Rate: conversions divided by clicks, multiplied by one hundred. If CTR rises and Conversion Rate falls significantly, the system may be expanding attraction faster than relevance.

In B2B it is worth adding the Lead Qualification Rate, i.e. qualified leads divided by total leads, and the Close Rate, customers acquired divided by opportunities or qualified leads, according to the commercial definition adopted.

A high CTR with a low qualification rate may signal a gap between message, targeting and commercial proposition. A lower CTR accompanied by high qualification and close rates may describe a more selective campaign that is more useful to the business.

From CTR to CPA, CAC, ROAS and margins

CPA relates advertising spend to conversions. It is useful but depends on how the event is defined: a download, a qualified lead and a sale have very different values.

Customer Acquisition Cost widens the scope: total acquisition costs divided by new customers acquired. Depending on the purpose, it may include advertising, sales resources, technology and other costs directly associated with acquisition.

ROAS divides the revenue attributed to campaigns by advertising spend. A ROAS of 5 means five euros of attributed revenue for every euro of advertising; profit still depends on margins, logistics costs, returns, service and the product’s economic structure.

Google now allows advertisers to assign different values to conversions and to use factors such as margin and lifetime value in their rules. Conversion value rules can incorporate information on real economic value, while the Maximize Conversion Value and Target ROAS strategies optimise towards the reported value rather than the mere number of events.

Google’s own documentation shows how the value of a conversion can also incorporate profit margin, repeat business and lifetime customer value. The principle is to align optimisation with the value the company genuinely wants to maximise.

Building a performance metric tree

A metric tree allows management to start from revenue or margin and trace back to the levers that generate them: customers acquired, close rate, qualified leads, conversions, sessions, clicks and impressions. Each step is assigned KPIs such as CTR, Conversion Rate, CPA, CAC, ROAS and CLV.

The advantage is diagnostic. If revenue falls, the team can determine whether the problem stems from demand volume, the message, the landing page, lead quality, sales capacity or average customer value.

In this way, advertising stops being the default repository for every funnel problem. The metrics describe different parts of the same system, and the cause may lie much further ahead of or behind the click.

Which metrics should reach the CEO and the Board

A CEO does not need the same dashboard used every day by those who run campaigns. The operational level uses CTR for creative, CPC, keywords, audiences, placements and other diagnostic indicators. The Board needs to understand whether the investment produces value and which risks could undermine it.

Executive reporting can therefore be organised on three levels: economic efficiency, acquisition quality and funnel diagnostics.

Economic efficiency. Investment, CPA, CAC, attributed revenue, ROAS and contribution margin where available.

Acquisition quality. Lead qualification rate, close rate, average customer value, retention and CLV.

Funnel diagnostics. CTR, Conversion Rate, CPC and other intermediate metrics serve to explain changes in financial KPIs.

The principle is simple: the further a metric sits from the income statement, the more caution is needed when using it to allocate budget. This restores CTR to its proper role: a fast, useful signal, not a verdict on the quality of the investment.

Optimise the system, not the individual metric

Performance governance requires objectives consistent with the financial result. A team assessed solely on CTR will chase more clicks. If it is assessed on CPL, it will chase more leads at the lowest cost. If the company’s real objective is to increase the margin generated by new customers, none of these metrics can describe success on its own.

Google, too, sets bidding strategies starting from the business goal: traffic, conversions, conversion value or impression share (Google).

Governance should work in the opposite direction to the dashboard: start from the desired outcome and trace back to the operational metrics that anticipate it.

When this sequence is explicit, a rise in CTR takes on meaning, because we know which effects to check at the subsequent levels and when to halt an optimisation that is producing traffic without value.