The customer journey has never been more complex, with consumers interacting with a brand through multiple advertisements and touchpoints over an extended period. A consumer might see a display ad, click, and convert immediately – but that’s more unusual when several steps often take place between their first exposure to an ad and their conversion.
They may research competitors, go directly to your site by typing the URL, see a paid search ad, and then be remarketed to.
The Click Is A Rare Event, Not A Representative One
It’s odd that clicks are the standard. It’s not the primary user action that we care about because the user often won’t take the action you want immediately after clicking. Clicks are the yardstick because they’re the easiest thing to measure and report. They’re what the entire online ad industry has been built on because the other stuff (unaided brand recall or purchase intent lift) is much harder to quantify and compare.
The necessary disclaimer for every metric, online or off, is that it’s not about whether the number goes up or down, but whether changing that number reliably correlates with changes in things you care about. When two metrics sail in the night and you want to decide which to hitch your wagon to, the answer to that question of whether it reliably correlates or not isn’t always clean.
But as a starting point, you should at least suspect that a metric where the desired value is 1 out of 300 is a less suitable stand-in for an event where the odds are 299 out of 300.
A Viewable Impression Is Proof The Ad Had A Chance To Work
The reason behind the Media Rating Council’s viewability standard is that “served” and “seen” should not be used interchangeably. An ad is only considered viewable if at least 50% of its pixels were on screen for one continuous second (for video it’s two seconds). An ad that doesn’t meet that minimum is an ad that was served on a page somewhere, but never had the opportunity to be seen by a person.
This matters because these scenarios have very different implications. It’s completely normal for a viewable ad not to be clicked – some people just don’t like clicking ads. It’s healthy to always have that as the most likely outcome: people choose not to click your ad rather than didn’t get the chance to see it. An ad can also be served and never seen by a human, buried off screen, never rendered into view, or perhaps in a background tab. In that case, the quality work wouldn’t have mattered.
If you serve an ad and then measure it only by click rate, you’re treating a failed-to-render ad and a didn’t-persuade ad as equivalent.
The Customer Journey Doesn’t Move In A Straight Line Anymore
Customers rarely come across an ad once and make a purchase immediately. They might come across it on their phone while commuting, then see it again on their laptop the next day, and eventually make a purchase by entering the brand’s name in a search engine or going straight to the website. In this case, the original ad doesn’t get the credit for the sale. Instead, it’s a series of viewable exposures that lead to conversion by creating enough awareness in the customer’s mind for them to act on it at a later stage, often through a different channel.
This is why view-through conversions are important. Most major ad platforms are able to track a number of conversions originating from users who saw an ad, didn’t click it, and then later converted through a different path altogether. If your tracking system only gives credit to clicks, then a whole string of influential ads results in a big fat zero for the report, although in reality, they did have some impact.
Match The Buying Model To The Job The Ad Is Doing
This is the phase where you take theory and transform it into a media plan. If the objective at a specific part of the funnel is either awareness or consideration, then you want to pay for the only thing that actually generates those outcomes: confirmed viewable exposure. That’s what CPM buying accomplishes. It focuses expenditure on the value unit that drives the objective, rather than overpaying for a click that is highly unlikely to occur.
When you’re paying per click for a brand campaign, you’re paying for the wrong thing. And your efficiency is reliant on a small, uncontrollable occurrence. This is exactly why working with a best cpm ad network matters in practice – it ensures your spend is buying genuine, human-verified viewable impressions in front of the right audience, rather than getting priced around an inflated hunt for clicks.
Viewability is now a real-time bidding factor on most programmatic platforms, so buyers can already express their preference for ads that are likely to be viewed.
Familiarity Is Doing More Work Than We Give It Credit For
There’s a well-known effect in psychology – mere exposure – that basically says people like things more just because they’ve seen them before. No deep processing required, just repetition. So when someone sees your brand over and over, even passively, even without clicking, it builds a quiet, low-grade sense of familiarity. Nothing dramatic happens in the moment. But it chips away at resistance, so that later, when they’re actually ready to buy or sign up or whatever the action is, you’re easier to say yes to.
That’s also why reach-and-viewability campaigns keep showing up as winners in unaided recall and top-of-mind studies, even when the click-through numbers look unremarkable. Nobody clicked, sure. But ask people to name a brand off the top of their head a few weeks later, and it shows up more often.
It’s not a fast effect, and it’s not an easy one to optimize for, especially once you start weighting for viewability specifically. But it’s real, and it’s usually the first thing that shows up when researchers actually go measure it.
Last-Click Attribution Hides The Media That Actually Worked
This is where the rubber meets the road. Last-click attribution gives 100% of the credit for a conversion to whatever touchpoint came right before it, usually a paid search click, a referral link, or a direct visit. Everything that happened earlier – all the “assists” – gets zero credit, no matter how much they mattered in moving the customer along.
That creates a kind of mirage. A campaign that delivered highly viewable, well-targeted impressions and spent two weeks quietly building awareness ends up looking like a failure, just because none of those impressions happened to be the final click. Meanwhile, a branded search click at the bottom of the funnel gets all the glory. It looks like a direct-response miracle, when really that customer was just the last domino in a chain someone else set up.
Multi-touch attribution tries to fix this. At its simplest, it spreads credit across the whole journey instead of dumping it all on the last touch. It’s not a perfect science, but even a rough multi-touch model tells a more honest story than one that’s structurally built to ignore everything except the final click.
Optimizing For Clicks Quietly Distorts Your Budget
Once you realize that a metric isn’t capturing what you hoped it would, the next issue is that it will still be used as a target. Ad platforms and campaigns will optimize towards whatever measure they’re programmed to optimize towards, and if that measure is CTR, dollars will flow to sources of accidental or low-intent clicks: misclicks on mobile, curiosity clicks with no purchase intent, clickbait-adjacent creative, etc., because they look the same on the dashboard.
Meanwhile, a highly relevant ad shown to the perfect recipient, an ad that’s quietly lifting your brand metrics and nudging new buyers into converting, can incidentally have a 0% CTR and be dropped from the schedule for underperforming. You have inadvertently optimized the persuasive advertising out of your media and optimized noise in.
Not All Impressions Are Equal, Either
None of this is an argument for buying raw reach and calling it a day. Impression volume without quality controls is its own trap. Bot traffic and non-human traffic inflate impression counts without any real person ever seeing the ad, and ads served below the fold or in low-attention placements can technically load without ever becoming viewable under MRC standards.
The metric that matters is verified viewable impressions, not served impressions. That distinction should show up in how campaigns get planned, reported, and paid for. A campaign report showing 2 million impressions is meaningless without knowing what share of those actually met the viewability threshold.
Frequency matters too. Viewable exposure builds preference up to a point, but beyond roughly three to five exposures per user per week, returns flatten and then reverse. This is ad fatigue: the same creative shown too often to the same person stops building familiarity and starts building irritation. Frequency capping exists specifically to manage this, capping how often an individual user sees a given ad so that reach stays fresh instead of just repeating diminishing returns on the same audience.
Building A Full-Funnel View Of Success
This doesn’t mean that clicks are not important, though. Clearly, they indicate that something is working well at the bottom of the funnel when search intent is at its strongest and the consumer is closest to a buy decision. But think of it this way: with viewable impressions building awareness, that engagement lift helped to generate the click. The click can’t and shouldn’t get all the credit. It’s your silent partner, viewable media, that’s doing a lot of the heavy lifting to contribute to that click when it comes.
That’s why a full-funnel media strategy is your best bet. Those impressions that drove new searches and category page views never had clicks. The ads had to load, and render, and be on the screen long enough to have an impact on lifting brand metrics or driving users to new searches or other pages on your site. Repeatedly.
