More and more impact happens without a click. Are your metrics changing too? Tomaž Tomšič, Head of iPROM Labs For many years, digital marketing was based on a simple logic: whatever a user clicked on, visited or purchased could be linked to a campaign. Today, this logic still measures direct response effectively, but it does […]
More and more impact happens without a click. Are your metrics changing too?
Tomaž Tomšič, Head of iPROM Labs
For many years, digital marketing was based on a simple logic: whatever a user clicked on, visited or purchased could be linked to a campaign. Today, this logic still measures direct response effectively, but it does not necessarily explain the full impact of communication. An increasing number of important interactions with a brand happen without the user clicking an ad or visiting its website.
More and more important interactions happen without a click
The way people use digital media is changing. They increasingly obtain information directly through search, social media, video platforms and media portals, as well as from AI-powered search and answer systems. In many cases, they receive a useful answer without visiting the brand’s website.
At the same time, people encounter numerous brand messages and pieces of content every day. They may notice an ad, remember the brand and search for it directly a few days later, visit a store or add it to their shortlist. There does not necessarily have to be a direct click between exposure to an ad and the final decision, yet the impact of advertising can still be significant.
A click is therefore becoming increasingly difficult to regard as the sole proof of a successful interaction. Its absence does not prove that there was no impact, just as a click alone does not prove that the ad resulted in a purchase.
Traffic matters, but it does not tell the whole story
Traffic, conversions and sales remain important performance indicators. The problem arises when they become the only metrics of success. Digital advertising does more than generate direct responses. It also builds awareness, recall, understanding of the offer, brand affinity and purchase intent. These effects often occur before a website visit or purchase takes place, which makes them difficult to capture through web analytics alone.
A purchase decision rarely happens at a single point in time. It takes shape through a series of interactions with a brand, including ads, content, recommendations and previous experiences. We must therefore distinguish between what a user did immediately after seeing an ad and how their perception of the brand changed. The former can be measured with behavioural data, while the latter requires research methods.
How to measure the impact clicks do not reveal One method of gaining this type of insight is a Brand Lift Study (BLS). In a properly designed study, the responses of a group that was shown the ad are compared with those of a control group that did not see it. The difference between the groups indicates the estimated lift across selected metrics, such as ad recall, awareness, brand affinity, purchase consideration or purchase intent.
This comparison makes it possible to assess an impact that cannot be inferred from clicks or website visits. However, percentage differences are not the only factor that matters when
interpreting the results. The sample size, confidence intervals, statistical significance and how both groups were constructed must also be considered. In this context, evaluating impact without a click is also becoming important. Instead of relying on a single metric, we need several distinct forms of evidence: reach and behavioural data, research into changes in perception, and business outcomes. Only together do these provide a sufficiently comprehensive picture of campaign performance.
When the campaign objective is not a click but change
This approach is particularly useful for campaigns whose primary objective is not an immediate website visit but stronger awareness, a better understanding of the offer or stronger brand preference. Standard digital metrics show how many people the ad reached and how they responded to it. A Brand Lift Study can show whether a measurable lift in a selected metric was recorded compared with the control group. This was also demonstrated by JUB’s campaign for JUPOL, ‘Giving colour to life’. Using the iPROM Brand Lift Study, JUB measured a 15.5 percentage point increase in ad recall and a 16.2 percentage point increase in purchase intent among users exposed to the campaign compared with the control group. Moreover, 71 percent of users for whom an advertising effect was measured did not click on the ad. The same was true for 65 percent of users who expressed purchase intent. The results show that a significant share of digital advertising impact occurs without a direct response to the ad.
What will we measure in the future?
The role of digital advertising is evolving, and the way we evaluate it must evolve too. Clicks, website visits and conversions will not disappear. They will remain an important part of campaign performance measurement, but we will increasingly complement them with questions that are closer to the actual impact of communication and business outcomes.
Did the user remember the ad? Are they now more familiar with the brand? Do they understand its offer? Are they more likely to consider it after the campaign? Has their purchase intent increased?
A click alone cannot answer these questions. Digital marketing therefore does not need less measurement, but more comprehensive measurement instead. In an environment where some of advertising’s impact occurs without a direct click, understanding changes in brand perception is an increasingly important part of evaluating campaign success.
Ultimately, what matters is not only whether the user clicked. What matters is whether the advertising increased awareness, improved brand perception or strengthened purchase intent, and whether this change was later reflected in business results.