It is one of the oldest questions in our craft — and one of the most uncomfortable: why do we work in advertising with images of good-looking, often smiling people? The honest answer has nothing to do with vanity and everything to do with psychology. And that is exactly why so many clients find it so hard to accept.
Let us start at the beginning. Marketing communication has a single, hard job: to create attention and anchor memory — so that a product, a service, a technical solution lodges in the mind of the potential customer as the answer to their problem. Not as a pretty picture, but as a reflex that can be recalled at the decisive moment. This holds for a CNC milling machine just as much as for a SaaS platform. So the question every marketing lead faces is a sober one: how do I create attention for my product?
Attention is the hardest currency
This is where we come in as an agency — and work, among other things, with images of people. Professional depictions of realistic, good-looking individuals in particular situations. These people look good, and they smile. Not always, but often. That is not a quirk of the picture desk. It is the answer to a scarce good: the first fraction of a second of attention that is fought over in every feed, every trade magazine, every walk down a trade-fair aisle.
From the milling machine to the cloud
The reflex of many engineers goes: "Our product needs explaining, our customers are professionals, they want data, not smiling models." The first part is true. The conclusion is still wrong. Because even the most sober buyer of a machine tool is first of all a human being with a brain that has responded to the same signal for a million years: another face. Before any data sheet is read, the gaze has to stop at all. And nothing stops the gaze more reliably than a face.
Why the face always wins
That is not an opinion but measurable. Eye-tracking studies have shown for years that we spot faces faster than any other visual element — an evolutionary preference already demonstrable in infants. A face in an ad demonstrably raises attention, recognition and the evaluation of both ad and brand. In our header chart that is exactly why the grey dots — ads with no people — cling to the bottom left: they generate neither much attention nor dwell time.
The litmus test: LinkedIn
Nowhere can this be observed as clearly as on LinkedIn — and there it stands out even more starkly. Posts with people achieve markedly higher reach and success than posts without faces. Image posts reach on average around twice the engagement of pure text posts; content from personal profiles a multiple of what the same message pulls from a faceless company page. The reason is simple: people trust people, not logos.
The network is a face
There are two reasons for this. First, LinkedIn is at its core a people network — it lives on faces, not façades. Second, people simply like looking at people, and especially into the eyes. The direct eye contact of a portrait binds the viewer — in the chart, the dot with the longest dwell time. And this is no longer a soft argument: in 2026 the LinkedIn algorithm explicitly rewards dwell time — the longer someone lingers on a post, the more reach it gets. That is exactly what the vertical axis of our chart measures. A face that holds the gaze is thereby converted directly into reach.
The beauty paradigm
But why attractive people? Why not just any face? This is where the actual paradigm begins — and it is one of the best-documented phenomena in social psychology.
What is beautiful is good
In 1972, Karen Dion, Ellen Berscheid and Elaine Walster showed, in a study with the programmatic title "What is beautiful is good", what has been confirmed a hundred times since: people automatically ascribe the better traits to attractive individuals — more competence, more warmth, more success, even more intelligence and a happier life. The technical term for this is the halo effect: a positive first impression radiates like a halo onto all other judgements. The tricky part: it runs unconsciously. Nisbett and Wilson demonstrated as early as 1977 that people vehemently deny this influence — while it is already at work.
The success we read into it
Translated into the language of advertising, this means: a good-looking, confidently smiling person is perceived — consciously and unconsciously — as successful, competent and trustworthy. And that ascription rubs off on the product standing next to them. We do not buy the smile. We buy the success we read into it. That is exactly why the red dots sit at the top right of the chart: realistic, credible people capture both the attention and the long dwell time.
We do not sell the pretty face. We sell the competence the viewer instinctively assumes behind it.
…but only almost
Honesty is part of the method: the effect has limits. The large meta-analysis by Eagly and colleagues (1991) — titled "What is beautiful is good, but…" — showed that the halo is strong above all for social competence, for warmth and assertiveness. For integrity, honesty or care for others it is weak to nil. Beauty, then, does not automatically make you credible. It opens the door — walking through it is up to the message alone.
Why (almost) everyone smiles
Within about a tenth of a second we judge an unfamiliar face on two dimensions: warmth and competence. Warmth is read first — and a smile is its strongest signal. A much-noticed study of large Airbnb host profiles found that smiling hosts were perceived as warmer and more competent — with measurably more bookings. Platforms like PhotoFeeler show the same for profile photos: a smile raises perceived competence, influence and likeability.
Not always — and rarely broad
And yet: more smiling is not automatically better. This is where craft separates from cliché. Research on smile intensity (for instance "Smile Big or Not?", Journal of Consumer Research, 2016) shows that a broad, toothy smile reads as warmer but, in high-risk and expert contexts, often as less competent. In men, an over-broad grin can even undermine perceived authority. And a forced smile gives itself away: only the genuine, eye-involving Duchenne smile convinces. For a six-figure investment decision — the milling machine, the ERP migration — the restrained, credible expression is therefore almost always stronger than the glossy beam. "Often, but not always" is not vagueness. It is precision.
Millimetre work: light, gaze, environment
And this brings us to the heart of what clients pay an agency for — even if few of them see it. Because it does not matter that a good-looking person is in the picture, but how that picture is made, down to the detail. Light, environment, wardrobe, props, framing, gaze direction — each element is a setting screw, and each pays into one account: credibility.
The gaze we follow
The most striking tool is the model's gaze. In a famous eye-tracking study by James Breeze (2009), titled "You look where they look," viewers involuntarily followed the depicted person's line of sight: when the baby looks at the viewer, the gaze sticks to the face; when it looks toward the headline, the viewer's gaze travels with it — to the message. An eye-tracking study of print ads (2018) confirmed it: a face whose gaze is directed at the product raises attention, memory, brand evaluation and even purchase intention more than a model looking into the camera. The gaze of the person in the image is a steering wheel for the gaze of the viewer. That is exactly what the "gaze toward the product" dot at the top right of the chart means.
When light makes competence
The same goes for light and environment. A technician in real factory light, with slight signs of wear on the machine, says "this is real." The same subject in sterile studio gloss says "this is staged." Props, wardrobe, the cutout of a hall — all of these are unconsciously read authenticity signals. Between an image that claims competence and one that radiates it there are, in case of doubt, only two stops of aperture and the right location. But you have to know it.
The credibility check
Because every person who sees an ad — in whatever context — unconsciously runs a check, in fractions of a second: how believable is this? Can this really be? Are these people from our society, our country, our cultural circle? Real people or just photo models? Are they too beautiful to be true — or credible? This check decides everything that comes after.
Too beautiful to be true
And here the halo effect flips into its opposite. As soon as beauty raises expectations the image does not meet, a beauty penalty arises: overly perfect, glossy stock models still generate attention, but trust collapses — in the chart, the amber dots stuck in the middle. Studies of image effect find that authentic depictions increase trust many times over compared with generic stock photos; an often-seen stock model that has already met the viewer on three other websites even dilutes the brand. The same problem intensifies with flawless AI faces: they look "too perfect," the eye distrusts, dwell time drops. A British survey found that people clearly prefer ads with real, ordinary individuals over ones with celebrities or recognisable actors.
Between believable and staged lie worlds
This is where the real work lies. Not "a beautiful person who laughs," but: a person beautiful enough for the halo yet realistic enough for credibility. Medium perfection. Culturally coherent. Situationally real. Between "believable" and "staged" lie worlds — and on the agency side, between them lies a lot of craft: casting, location, light, direction of expression, the choice between a gaze to the camera and a gaze to the product. That is the difference between an ad that works and one that burns money.
The art is not to find the most beautiful person. The art is to find the most credible one — and not to make them look more beautiful than the viewer can believe.
The ad with a person beats the one without by a mile — because people buy from people. When it is done well and credibly.
Why clients dig in
And here begins the misunderstanding I have witnessed for decades. Many clients can only follow this argument with difficulty and react with rejection. "We don't need pretty faces." "That's manipulation." "Just show the product and the data." The reflex is understandable — engineers in particular trust specifications, not expressions. But it confuses two things: the message and the access to it.
As an agency we do not work with tricks but with mechanisms that reliably function in the psychology of communication — the same ones the sceptical buyer himself is subject to while denying them. The product-only ad loses the attention battle before a single specification is read. The finest data sheet is useless if the gaze never stops. Attention is not the opposite of seriousness. It is its precondition.
What this means for your marketing
Let us sum up, without varnish. You win attention through faces — the brain leaves you no choice. You signal competence through the halo of attractive, confident people — but in measured doses, because an over-broad smile tips over in expert contexts. You steer the gaze through the model's line of sight. And you win or lose everything on credibility: it is not beauty that is the enemy, but implausibility. Whoever understands this stops asking whether people belong in the picture — and starts asking which ones, in what light, with what gaze.
Attractive people sell. But only credible ones sell twice.
Frequently asked questions
Why does advertising use attractive, smiling people?
Because attractive, smiling faces are automatically associated with competence, warmth and success through the halo effect — and because the brain processes faces preferentially and within fractions of a second. They thus create attention and a positive ascription onto the product at the same time.
Should people smile in B2B ads for CNC machines or SaaS?
Often yes, but subtly. In high-risk and expert contexts a broad smile can lower perceived competence. A restrained, genuine (Duchenne) smile reads as more credible and competent for costly, considered decisions.
Do real people work better than stock photos in advertising?
As a rule, yes. Authentic, credible imagery clearly increases trust. Overly perfect or frequently seen stock models often look "too good to be true" and reduce credibility — the halo effect then flips into a beauty penalty.
Why do LinkedIn posts with faces perform better?
LinkedIn is a people network at its core. Posts with people achieve markedly more reach than faceless ones, because people trust people and like looking into eyes — and because the algorithm rewards the dwell time that faces generate.